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M
Software Build Engineer
Salary not disclosed
Software Build Engineer - Core Data Platform Team, EIS
Full-Time, Hybrid (Boston or Springfield)
The Opportunity
You will join the Core Data Platform team, which builds and maintains a suite of tools powering over 2,100 data pipelines in production across MassMutual. As a Software Build Engineer, you’ll manage the cloud infrastructure that supports this platform in a fast-paced, innovative, and collaborative environment. You’ll recommend and evaluate new technologies, contribute to code and patterns, and play a key role in shaping the future of data engineering at MassMutual.
The Team
You’ll be a key part of our esteemed Core Data Platform team, focused on enabling and accelerating the delivery of new data pipelines and products. You’ll help support a thriving user community of over 12 data engineering teams, located both on-shore and off-shore. Our team is technical, highly motivated, and excels at working in a fast-paced and always evolving environment with agility and resilience. We regularly collaborate to establish enterprise strategy, working closely with architecture, governance, and enterprise infrastructure teams.
The Impact
- Design, develop, and improve build and deployment standards and processes (e.g., CI/CD, orchestration, scheduling) to accelerate delivery and ensure reliability of data pipelines.
- Develop and maintain core infrastructure to deliver scalable, robust, and highly available systems, directly supporting 12+ data engineering teams.
- Evaluate and recommend emergent technologies, tools, processes, and reference architectures, driving innovation and continuous improvement.
- Contribute to the design and development of new software components, enhancing platform capabilities.
- Define version control best practices and automate enforcement where appropriate.
- Improve monitoring and logging using technologies such as OpenTelemetry and New Relic, enhancing system observability and reducing downtime.
- Identify areas for process improvement and automation, increasing efficiency and reducing manual effort.
- Collaborate closely with Enterprise Infrastructure, Architecture, and Governance teams, providing mentorship to developers as appropriate.
- Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements.
Minimum Qualifications
- Bachelor’s degree in computer science, engineering, or a related technical field.
- Cloud: 5+ years of experience working in a cloud environment (e.g., AWS) using infrastructure-as-code technologies such as Terraform or CloudFormation to provision infrastructure.
Ideal Qualifications
- Master’s degree in computer science, engineering, or a related field.
- Code: 2+ years of experience as a Python or Java developer.
- Build & Deployment: Excellent understanding of build and continuous integration and deployment tools (e.g., Github Actions, Artifactory).
- Communication: Excellent communication, problem-solving, organizational, and analytical skills.
- Design: Strong foundation in algorithms, design patterns, and writing efficient code.
- Workflow: Knowledge of orchestration and scheduling tools (e.g., Apache Airflow).
- Data: Understanding of data processing technologies such as Apache Spark and Apache Kafka.
- Autonomy: Able to work independently and provide leadership to small teams of developers.
What to Expect as Part of MassMutual and the Team
- Regular collaboration with Enterprise Infrastructure, Architecture, Governance and Data Engineering teams
- Focused one-on-one time with your manager
- Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
- Access to learning content on Degreed and other informational platforms
- Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits
#LI-RK1
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Full-Time, Hybrid (Boston or Springfield)
The Opportunity
You will join the Core Data Platform team, which builds and maintains a suite of tools powering over 2,100 data pipelines in production across MassMutual. As a Software Build Engineer, you’ll manage the cloud infrastructure that supports this platform in a fast-paced, innovative, and collaborative environment. You’ll recommend and evaluate new technologies, contribute to code and patterns, and play a key role in shaping the future of data engineering at MassMutual.
The Team
You’ll be a key part of our esteemed Core Data Platform team, focused on enabling and accelerating the delivery of new data pipelines and products. You’ll help support a thriving user community of over 12 data engineering teams, located both on-shore and off-shore. Our team is technical, highly motivated, and excels at working in a fast-paced and always evolving environment with agility and resilience. We regularly collaborate to establish enterprise strategy, working closely with architecture, governance, and enterprise infrastructure teams.
The Impact
- Design, develop, and improve build and deployment standards and processes (e.g., CI/CD, orchestration, scheduling) to accelerate delivery and ensure reliability of data pipelines.
- Develop and maintain core infrastructure to deliver scalable, robust, and highly available systems, directly supporting 12+ data engineering teams.
- Evaluate and recommend emergent technologies, tools, processes, and reference architectures, driving innovation and continuous improvement.
- Contribute to the design and development of new software components, enhancing platform capabilities.
- Define version control best practices and automate enforcement where appropriate.
- Improve monitoring and logging using technologies such as OpenTelemetry and New Relic, enhancing system observability and reducing downtime.
- Identify areas for process improvement and automation, increasing efficiency and reducing manual effort.
- Collaborate closely with Enterprise Infrastructure, Architecture, and Governance teams, providing mentorship to developers as appropriate.
- Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements.
Minimum Qualifications
- Bachelor’s degree in computer science, engineering, or a related technical field.
- Cloud: 5+ years of experience working in a cloud environment (e.g., AWS) using infrastructure-as-code technologies such as Terraform or CloudFormation to provision infrastructure.
Ideal Qualifications
- Master’s degree in computer science, engineering, or a related field.
- Code: 2+ years of experience as a Python or Java developer.
- Build & Deployment: Excellent understanding of build and continuous integration and deployment tools (e.g., Github Actions, Artifactory).
- Communication: Excellent communication, problem-solving, organizational, and analytical skills.
- Design: Strong foundation in algorithms, design patterns, and writing efficient code.
- Workflow: Knowledge of orchestration and scheduling tools (e.g., Apache Airflow).
- Data: Understanding of data processing technologies such as Apache Spark and Apache Kafka.
- Autonomy: Able to work independently and provide leadership to small teams of developers.
What to Expect as Part of MassMutual and the Team
- Regular collaboration with Enterprise Infrastructure, Architecture, Governance and Data Engineering teams
- Focused one-on-one time with your manager
- Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
- Access to learning content on Degreed and other informational platforms
- Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits
#LI-RK1
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
permanent
A
IT Solutions Engineer / Test Lead
Salary not disclosed
Job Title: IT Solutions Engineer / Test Lead (Hybrid) Location: Boston, MA, Indianapolis, IN, and Portsmouth, NH Pay: Competitive Job Summary: The GRS Quality Engineering organization is seeking a senior, hands-on Solutions Engineer to design, deliver, and scale modern quality-engineering platforms across a large enterprise application portfolio.
This role focuses on Gen-AI-driven test automation, quality insights, performance engineering, data validation, and deep collaboration with Site Reliability Engineering (SRE) to embed observability throughout the SDLC.
You will combine strong technical leadership with strategic thinking to enable global teams to ship software faster, safer, and with greater confidence.
Key Responsibilities: Lead end-to-end delivery of scalable quality-engineering solutions aligned with enterprise architecture, guardrails, and roadmaps.
Partner with SRE teams to embed metrics, logs, and traces into automated testing and quality gates to reduce MTTR and improve incident readiness.
Drive Gen-AI/LLM initiatives including self-healing tests, autonomous test generation, and AI-assisted defect triagetaking successful prototypes into production.
Guide teams on Shift-Left testing, DevTestOps, contract testing, performance engineering, data validation, and program-level quality governance.
Integrate and optimize vendor tools (e.g., PractiTest, LambdaTest, LoadRunner, UIPath) to maximize ROI.
Collaborate with product, architecture, engineering, and business stakeholders to translate requirements into scalable quality solutions.
Support agile delivery by applying testing strategies, standards, and tooling across application teams.
Participate in incident management, root-cause analysis, and post-mortems; provide preventative recommendations.
Mentor and coach engineers while fostering global knowledge sharing and continuous improvement.
Contribute to roadmap planning, funding prioritization, and documentation of architectures and quality standards.
We encourage you to apply if you are: Strategic Partner with the ability to align business outcomes, customer experience, and technical architecture.
Systems-Level Engineer comfortable designing and whiteboarding end-to-end flows for microservices, data contracts, and event-driven systems.
AI-Curious Practitioner who turns Gen-AI experimentation into real production value.
Change Agent skilled at influencing across dev, ops, SRE, product, and leadership.
Mentor & Multiplier who elevates team capability through coaching and collaboration.
Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.
10+ years of hands-on software or quality engineering experience with technical leadership.
Proven experience building large-scale test automation frameworks on AWS.
Hands-on expertise with at least two: Playwright, UIPath, RestAssured, Postman, Pact.
Strong CI/CD experience (GitHub Actions, Azure DevOps, or similar).
Solid knowledge of cloud-native architectures, microservices, Docker/Kubernetes, and IaC.
Experience with performance testing (k6, JMeter, LoadRunner) and observability (Datadog).
Exposure to Gen-AI/LLM-powered testing (Copilot, OpenAI, or custom solutions).
Excellent communication, facilitation, and stakeholder-management skills.
Certifications (AWS, testing, or observability) are a plus.
This role focuses on Gen-AI-driven test automation, quality insights, performance engineering, data validation, and deep collaboration with Site Reliability Engineering (SRE) to embed observability throughout the SDLC.
You will combine strong technical leadership with strategic thinking to enable global teams to ship software faster, safer, and with greater confidence.
Key Responsibilities: Lead end-to-end delivery of scalable quality-engineering solutions aligned with enterprise architecture, guardrails, and roadmaps.
Partner with SRE teams to embed metrics, logs, and traces into automated testing and quality gates to reduce MTTR and improve incident readiness.
Drive Gen-AI/LLM initiatives including self-healing tests, autonomous test generation, and AI-assisted defect triagetaking successful prototypes into production.
Guide teams on Shift-Left testing, DevTestOps, contract testing, performance engineering, data validation, and program-level quality governance.
Integrate and optimize vendor tools (e.g., PractiTest, LambdaTest, LoadRunner, UIPath) to maximize ROI.
Collaborate with product, architecture, engineering, and business stakeholders to translate requirements into scalable quality solutions.
Support agile delivery by applying testing strategies, standards, and tooling across application teams.
Participate in incident management, root-cause analysis, and post-mortems; provide preventative recommendations.
Mentor and coach engineers while fostering global knowledge sharing and continuous improvement.
Contribute to roadmap planning, funding prioritization, and documentation of architectures and quality standards.
We encourage you to apply if you are: Strategic Partner with the ability to align business outcomes, customer experience, and technical architecture.
Systems-Level Engineer comfortable designing and whiteboarding end-to-end flows for microservices, data contracts, and event-driven systems.
AI-Curious Practitioner who turns Gen-AI experimentation into real production value.
Change Agent skilled at influencing across dev, ops, SRE, product, and leadership.
Mentor & Multiplier who elevates team capability through coaching and collaboration.
Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.
10+ years of hands-on software or quality engineering experience with technical leadership.
Proven experience building large-scale test automation frameworks on AWS.
Hands-on expertise with at least two: Playwright, UIPath, RestAssured, Postman, Pact.
Strong CI/CD experience (GitHub Actions, Azure DevOps, or similar).
Solid knowledge of cloud-native architectures, microservices, Docker/Kubernetes, and IaC.
Experience with performance testing (k6, JMeter, LoadRunner) and observability (Datadog).
Exposure to Gen-AI/LLM-powered testing (Copilot, OpenAI, or custom solutions).
Excellent communication, facilitation, and stakeholder-management skills.
Certifications (AWS, testing, or observability) are a plus.
Not Specified
J
AI Engineering Lead
🏢 Jobot
Salary not disclosed
Hybrid, Competitive Salary, Excellent Benefits, Bonus Potential, 401k, and More! This Jobot Job is hosted by: Sierra Johnson Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $175,000 per year A bit about us: Based in Orange County, we are a retail technology company filled with talented people relentlessly driven to revolutionize the online shopping experience.
We are the fastest growing Brand Integrity, Where-to-Buy and data services innovator, providing unmatched insights into online consumer purchasing behaviors around the globe.
We are looking for an Engineering Team Lead with strong infrastructure skills, and deep expertise in big data, and AI/ML experience.
Why join us? Hybrid/Remote Schedule Free Food and Snacks! Relaxed Dress Code! Accelerated Career Growth! Job Details We are on the hunt for a dynamic AI Engineering Team Lead who can lead a team of Engineers to design and implement cutting-edge AI solutions.
This role will be pivotal in shaping the technical strategy for AI/ML and data processing initiatives.
The ideal candidate will have a strong background in AI/ML development and large-scale data processing systems.
This is a permanent position in our technology department, where you will work closely with our data scientists and engineers to develop and deploy advanced AI models and data-driven solutions.
Responsibilities: 1.
Lead a team of AI engineers to design and implement innovative AI/ML solutions.
2.
Develop a technical strategy for AI/ML and data processing initiatives.
3.
Design and build large-scale data processing systems.
4.
Use TensorFlow, PyTorch, and langChain for AI/ML development.
5.
Design data processing systems and work with data transformation tools, automated data pipelines, and backend services.
6.
Develop software using Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
7.
Work with GCP BigQuery, Spark, Databricks, and Snowflake for big data processing.
8.
Manage software projects from inception to deployment, ensuring timely delivery and quality.
9.
Collaborate with other teams and stakeholders to understand their needs and translate them into technical requirements.
10.
Stay up-to-date with the latest advancements in AI/ML and data processing technologies and methodologies.
Qualifications: 1.
5+ years of experience in AI/ML development.
2.
5+ years of experience in big data processing.
3.
2+ years of experience in a leadership role.
4.
Proficiency with TensorFlow, PyTorch, and langChain.
5.
Experience with large-scale data processing systems design.
6.
Experience with data transformation tools, automated data pipelines, and backend services.
7.
Proficiency with Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
8.
Experience with GCP BigQuery, Spark, Databricks, and Snowflake.
9.
Strong background in software development, Software Engineering, and Software Project Management.
10.
Excellent leadership and team management skills.
11.
Strong problem-solving skills and the ability to think strategically.
12.
Excellent communication and interpersonal skills.
13.
Bachelor's degree in Computer Science, Engineering, or a related field.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $150,000
- $175,000 per year A bit about us: Based in Orange County, we are a retail technology company filled with talented people relentlessly driven to revolutionize the online shopping experience.
We are the fastest growing Brand Integrity, Where-to-Buy and data services innovator, providing unmatched insights into online consumer purchasing behaviors around the globe.
We are looking for an Engineering Team Lead with strong infrastructure skills, and deep expertise in big data, and AI/ML experience.
Why join us? Hybrid/Remote Schedule Free Food and Snacks! Relaxed Dress Code! Accelerated Career Growth! Job Details We are on the hunt for a dynamic AI Engineering Team Lead who can lead a team of Engineers to design and implement cutting-edge AI solutions.
This role will be pivotal in shaping the technical strategy for AI/ML and data processing initiatives.
The ideal candidate will have a strong background in AI/ML development and large-scale data processing systems.
This is a permanent position in our technology department, where you will work closely with our data scientists and engineers to develop and deploy advanced AI models and data-driven solutions.
Responsibilities: 1.
Lead a team of AI engineers to design and implement innovative AI/ML solutions.
2.
Develop a technical strategy for AI/ML and data processing initiatives.
3.
Design and build large-scale data processing systems.
4.
Use TensorFlow, PyTorch, and langChain for AI/ML development.
5.
Design data processing systems and work with data transformation tools, automated data pipelines, and backend services.
6.
Develop software using Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
7.
Work with GCP BigQuery, Spark, Databricks, and Snowflake for big data processing.
8.
Manage software projects from inception to deployment, ensuring timely delivery and quality.
9.
Collaborate with other teams and stakeholders to understand their needs and translate them into technical requirements.
10.
Stay up-to-date with the latest advancements in AI/ML and data processing technologies and methodologies.
Qualifications: 1.
5+ years of experience in AI/ML development.
2.
5+ years of experience in big data processing.
3.
2+ years of experience in a leadership role.
4.
Proficiency with TensorFlow, PyTorch, and langChain.
5.
Experience with large-scale data processing systems design.
6.
Experience with data transformation tools, automated data pipelines, and backend services.
7.
Proficiency with Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
8.
Experience with GCP BigQuery, Spark, Databricks, and Snowflake.
9.
Strong background in software development, Software Engineering, and Software Project Management.
10.
Excellent leadership and team management skills.
11.
Strong problem-solving skills and the ability to think strategically.
12.
Excellent communication and interpersonal skills.
13.
Bachelor's degree in Computer Science, Engineering, or a related field.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Data Engineering Manager
🏢 Jobot
Salary not disclosed
Engineering Manager – Cloud-Native Azure Platform & Data Engineering Leader (WealthTech) This Jobot Job is hosted by: Katrina McFillin Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $190,000
- $235,000 per year A bit about us: Founded nearly 15 years ago, we are a technology-enabled wealth management platform that empowers independent financial advisory firms to better serve high net worth and ultra-high net worth clients through an integrated suite of software, data, and business services.
Why join us? Competitive Compensation: Market-competitive base salary (DOE) plus performance-based incentives in a growing WealthTech platform.
401(k) with Generous Match: Retirement plan with 401(k) and employer matching.
Comprehensive Benefits: Health, dental, vision, disability, FSA/HSA, and life insurance coverage.
Unlimited PTO Impactful Engineering Leadership: Lead a multi-disciplinary team across software, data, and cloud engineering in a high-growth independent advisor ecosystem.
Modern Tech Stack: Work hands-on with Azure, .NET, M365, Databricks, DevOps, and modern architectures (event-driven, microservices).
Executive Visibility: Serve as a strategic, hands-on partner to senior product and business leadership with direct influence on the platform roadmap Job Details Key Responsibilities and Duties: Lead, mentor, and retain a high-performing engineering team across software, data, and cloud, driving SDLC quality, predictability, and velocity aligned to the product roadmap.
Provide hands-on technical leadership in architecting and implementing cloud-native solutions on Azure (.NET, App Services/Container Apps, Functions, Data Factory/Databricks) that meet performance, reliability, security, and cost targets.
Define and monitor engineering and team health metrics (throughput, cycle time, escaped defects, change fail rate) while partnering with Product to translate business outcomes into measurable engineering objectives.
Develop and maintain reference architectures and technical specifications, championing SOLID, event-driven, and microservices patterns and communicating progress, risks, and dependencies to executives and stakeholders.
Qualifications – Needed: 7+ years in software/data engineering with at least 3 years directly leading engineering teams as a strategic and hands-on leader; bachelor’s in a related field preferred and Azure certifications (e.g., AZ-900) a plus.
Deep, practical experience with Azure (App Services/Container Apps, Functions, Storage, Data Factory/Databricks), M365, Entra ID/Azure AD, and Dataverse schema design, including building and optimizing production systems.
Expertise in CI/CD (Azure DevOps/GitHub), automated testing, and observability (Azure Monitor/App Insights), combined with strong SOC 2 Type 2, secure coding, and access management knowledge.
Exceptional executive-ready communication skills with a track record of coaching engineers, enforcing engineering standards, and ideally experience in Wealth Management/WealthTech domains.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $190,000
- $235,000 per year A bit about us: Founded nearly 15 years ago, we are a technology-enabled wealth management platform that empowers independent financial advisory firms to better serve high net worth and ultra-high net worth clients through an integrated suite of software, data, and business services.
Why join us? Competitive Compensation: Market-competitive base salary (DOE) plus performance-based incentives in a growing WealthTech platform.
401(k) with Generous Match: Retirement plan with 401(k) and employer matching.
Comprehensive Benefits: Health, dental, vision, disability, FSA/HSA, and life insurance coverage.
Unlimited PTO Impactful Engineering Leadership: Lead a multi-disciplinary team across software, data, and cloud engineering in a high-growth independent advisor ecosystem.
Modern Tech Stack: Work hands-on with Azure, .NET, M365, Databricks, DevOps, and modern architectures (event-driven, microservices).
Executive Visibility: Serve as a strategic, hands-on partner to senior product and business leadership with direct influence on the platform roadmap Job Details Key Responsibilities and Duties: Lead, mentor, and retain a high-performing engineering team across software, data, and cloud, driving SDLC quality, predictability, and velocity aligned to the product roadmap.
Provide hands-on technical leadership in architecting and implementing cloud-native solutions on Azure (.NET, App Services/Container Apps, Functions, Data Factory/Databricks) that meet performance, reliability, security, and cost targets.
Define and monitor engineering and team health metrics (throughput, cycle time, escaped defects, change fail rate) while partnering with Product to translate business outcomes into measurable engineering objectives.
Develop and maintain reference architectures and technical specifications, championing SOLID, event-driven, and microservices patterns and communicating progress, risks, and dependencies to executives and stakeholders.
Qualifications – Needed: 7+ years in software/data engineering with at least 3 years directly leading engineering teams as a strategic and hands-on leader; bachelor’s in a related field preferred and Azure certifications (e.g., AZ-900) a plus.
Deep, practical experience with Azure (App Services/Container Apps, Functions, Storage, Data Factory/Databricks), M365, Entra ID/Azure AD, and Dataverse schema design, including building and optimizing production systems.
Expertise in CI/CD (Azure DevOps/GitHub), automated testing, and observability (Azure Monitor/App Insights), combined with strong SOC 2 Type 2, secure coding, and access management knowledge.
Exceptional executive-ready communication skills with a track record of coaching engineers, enforcing engineering standards, and ideally experience in Wealth Management/WealthTech domains.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Sales Software Engineer (Data Integration / Customer Facing)
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Merwan Zattam Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000
- $155,000 per year A bit about us: We are a forward-thinking enterprise software firm dedicated to solving complex business problems through elegant, practical solutions.
Built by professionals with firsthand industry experience, our team understands the challenges organizations face when systems fall short of ambition.
We partner closely with clients to architect, develop and deploy software that integrates seamlessly into existing environments—prioritizing clarity, speed and long-term value over unnecessary complexity.
Our focus on transparency and collaboration ensures we stand behind what we build and grow alongside our customers.
Why join us? We offer the full spectrum of comprehensive benefits including: health, dental, and vision insurance.
We also offer paid time off, short term disability, long term disability, life insurance and a 401k plan.
Job Details Overview We are seeking a Senior Software Engineer who is passionate about building creative, scalable, and reliable software solutions to solve complex business challenges.
You’ll join a collaborative and growing software team focused on, a platform that enables fast, secure, and dependable data replication for organizations worldwide.
He has empowered global enterprises to integrate data from diverse systems, delivering meaningful insights and operational efficiency across industries.
Key Responsibilities Collaborate as part of an agile engineering team to design, develop, and enhance core software products.
Translate software requirements into high-quality technical implementations.
Participate in 24x7 on-call support rotation (approximately once per month).
Troubleshoot and perform root cause analysis on customer-reported issues.
Document defects and coordinate timely resolutions.
Partner with cross-functional teams to ensure accuracy, reliability, and quality of deliverables.
Present technical topics and demonstrate functionality to internal and external stakeholders.
Evaluate emerging technologies and contribute to architectural decision-making.
Lead small teams in achieving development goals and mentor junior engineers.
Engage with and support the open-source community related to the platform.
Required Skills & Qualifications Bachelor’s degree in Computer Science, Mathematics, or a related field.
5+ years of software development experience, with full lifecycle exposure.
Proficiency in Java and Spring Framework.
Strong understanding of data storage principles and SQL database operations.
Experience with unit testing, CI/CD, Agile, and DevOps methodologies.
Commitment to writing clean, maintainable, and reusable code.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively within a team.
Experience engaging directly with customers or end-users.
Preferred Skills & Experience Troubleshooting distributed enterprise applications.
Automating build processes using Gradle/Maven and GitHub Actions.
Building RESTful APIs.
Familiarity with cloud infrastructure technologies such as Kubernetes, Helm, and Terraform.
Experience deploying software to AWS, Azure, or Google Cloud Platform.
Monitoring using Prometheus and Grafana.
UI/UX development experience with the Vaadin framework.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $120,000
- $155,000 per year A bit about us: We are a forward-thinking enterprise software firm dedicated to solving complex business problems through elegant, practical solutions.
Built by professionals with firsthand industry experience, our team understands the challenges organizations face when systems fall short of ambition.
We partner closely with clients to architect, develop and deploy software that integrates seamlessly into existing environments—prioritizing clarity, speed and long-term value over unnecessary complexity.
Our focus on transparency and collaboration ensures we stand behind what we build and grow alongside our customers.
Why join us? We offer the full spectrum of comprehensive benefits including: health, dental, and vision insurance.
We also offer paid time off, short term disability, long term disability, life insurance and a 401k plan.
Job Details Overview We are seeking a Senior Software Engineer who is passionate about building creative, scalable, and reliable software solutions to solve complex business challenges.
You’ll join a collaborative and growing software team focused on, a platform that enables fast, secure, and dependable data replication for organizations worldwide.
He has empowered global enterprises to integrate data from diverse systems, delivering meaningful insights and operational efficiency across industries.
Key Responsibilities Collaborate as part of an agile engineering team to design, develop, and enhance core software products.
Translate software requirements into high-quality technical implementations.
Participate in 24x7 on-call support rotation (approximately once per month).
Troubleshoot and perform root cause analysis on customer-reported issues.
Document defects and coordinate timely resolutions.
Partner with cross-functional teams to ensure accuracy, reliability, and quality of deliverables.
Present technical topics and demonstrate functionality to internal and external stakeholders.
Evaluate emerging technologies and contribute to architectural decision-making.
Lead small teams in achieving development goals and mentor junior engineers.
Engage with and support the open-source community related to the platform.
Required Skills & Qualifications Bachelor’s degree in Computer Science, Mathematics, or a related field.
5+ years of software development experience, with full lifecycle exposure.
Proficiency in Java and Spring Framework.
Strong understanding of data storage principles and SQL database operations.
Experience with unit testing, CI/CD, Agile, and DevOps methodologies.
Commitment to writing clean, maintainable, and reusable code.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively within a team.
Experience engaging directly with customers or end-users.
Preferred Skills & Experience Troubleshooting distributed enterprise applications.
Automating build processes using Gradle/Maven and GitHub Actions.
Building RESTful APIs.
Familiarity with cloud infrastructure technologies such as Kubernetes, Helm, and Terraform.
Experience deploying software to AWS, Azure, or Google Cloud Platform.
Monitoring using Prometheus and Grafana.
UI/UX development experience with the Vaadin framework.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
M
Sr Software Engineer - Cloud Native, Automation
Salary not disclosed
Job Summary Job Description Job Title: Sr Software Engineer – Cloud Native, Automation Location: Northfield Department: E-Commerce IT Team Employment Type: Full-Time About the Role We are looking for a seasoned Senior Software Engineer – Test Automation (QA) to join our Digital Frameworks team.
In this role, you'll drive the future of test engineering by contributing to core automation initiatives and enabling frameworks, tools, and platforms that accelerate quality across our product teams.
This is not a traditional QA role.
We're looking for a full-stack automation expert who is passionate about tooling, platforms, and frameworks, capable of evaluating cutting-edge solutions—including low-code/no-code test tools, building PoCs, and influencing architecture-level decisions.
Our application stack includes Java/Spring Boot microservices on the backend and Next.js/React on the frontend, all deployed to Azure Kubernetes Service (AKS).
Key Responsibilities Architect and maintain reusable automation frameworks for backend (API/microservices) and frontend (UI) testing.
Research, evaluate, and introduce modern test automation tools (e.g., low-code/no-code, model-based testing, AI-powered test platforms).
Lead proof-of-concepts (PoCs) for new tools and frameworks to assess fit for the organization.
Build shared quality tooling and pipelines to be used across teams (test orchestration, data setup, mocks/stubs, parallelization, etc.).
Collaborate with platform, DevOps, and product engineering teams to shift quality left and define testability patterns.
Establish automation standards, coding guidelines, and governance models for cross-team reuse.
Actively mentor junior engineers and guide teams in adopting quality engineering best practices.
What You Bring: Skills and Expertise 10+ years of experience in Quality Engineering, with deep expertise in test automation.
Strong programming skills in Java (Spring Boot stack) and JavaScript/TypeScript (React/Next.js).
Experience building automation frameworks using JUnit/TestNG, Cypress, Playwright, Selenium, etc.
Proficiency in evaluating and implementing tools for test case management, test execution, and reporting.
Demonstrated success with CI/CD-integrated testing using Azure DevOps, GitHub Actions, or equivalent.
Knowledge of Kubernetes, containers, and testing in cloud-native environments (preferably Azure).
Familiarity with contract testing, mocking services, and test data management strategies.
Preferred Skills Experience with low-code/no-code automation platforms such as Testim, Tricentis Tosca, Mabl, or Katalon.
Exposure to AI/ML-based testing, self-healing tests, or model-based test generation.
Understanding of platform thinking and working in centralized enablement teams.
Hands-on experience with observability and monitoring tools for test impact analysis.
Educational Requirements Bachelor’s Degree in Computer Science, Engineering, or a related field is required.
Why Join Medline? Be a key contributor to the transformation of Medline’s e-commerce platform.
Access opportunities for growth, training, and certifications.
Competitive salary, comprehensive benefits, and flexible work arrangements.
Collaborate with a dynamic and innovative team in a supportive culture.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $132,600.00
- $199,160.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
In this role, you'll drive the future of test engineering by contributing to core automation initiatives and enabling frameworks, tools, and platforms that accelerate quality across our product teams.
This is not a traditional QA role.
We're looking for a full-stack automation expert who is passionate about tooling, platforms, and frameworks, capable of evaluating cutting-edge solutions—including low-code/no-code test tools, building PoCs, and influencing architecture-level decisions.
Our application stack includes Java/Spring Boot microservices on the backend and Next.js/React on the frontend, all deployed to Azure Kubernetes Service (AKS).
Key Responsibilities Architect and maintain reusable automation frameworks for backend (API/microservices) and frontend (UI) testing.
Research, evaluate, and introduce modern test automation tools (e.g., low-code/no-code, model-based testing, AI-powered test platforms).
Lead proof-of-concepts (PoCs) for new tools and frameworks to assess fit for the organization.
Build shared quality tooling and pipelines to be used across teams (test orchestration, data setup, mocks/stubs, parallelization, etc.).
Collaborate with platform, DevOps, and product engineering teams to shift quality left and define testability patterns.
Establish automation standards, coding guidelines, and governance models for cross-team reuse.
Actively mentor junior engineers and guide teams in adopting quality engineering best practices.
What You Bring: Skills and Expertise 10+ years of experience in Quality Engineering, with deep expertise in test automation.
Strong programming skills in Java (Spring Boot stack) and JavaScript/TypeScript (React/Next.js).
Experience building automation frameworks using JUnit/TestNG, Cypress, Playwright, Selenium, etc.
Proficiency in evaluating and implementing tools for test case management, test execution, and reporting.
Demonstrated success with CI/CD-integrated testing using Azure DevOps, GitHub Actions, or equivalent.
Knowledge of Kubernetes, containers, and testing in cloud-native environments (preferably Azure).
Familiarity with contract testing, mocking services, and test data management strategies.
Preferred Skills Experience with low-code/no-code automation platforms such as Testim, Tricentis Tosca, Mabl, or Katalon.
Exposure to AI/ML-based testing, self-healing tests, or model-based test generation.
Understanding of platform thinking and working in centralized enablement teams.
Hands-on experience with observability and monitoring tools for test impact analysis.
Educational Requirements Bachelor’s Degree in Computer Science, Engineering, or a related field is required.
Why Join Medline? Be a key contributor to the transformation of Medline’s e-commerce platform.
Access opportunities for growth, training, and certifications.
Competitive salary, comprehensive benefits, and flexible work arrangements.
Collaborate with a dynamic and innovative team in a supportive culture.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $132,600.00
- $199,160.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
J
Data Engineer
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $155,000
- $175,000 per year A bit about us: We are a global organization operating at the intersection of technology, data, and digital platforms, supporting products and services used by millions worldwide.
Our teams build and operate highly scalable, cloud-native systems that power data-driven decision-making, advanced analytics, and machine learning across a diverse and complex ecosystem.
With a strong emphasis on modern engineering practices, automation, and innovation, we invest heavily in the people and platforms that enable long-term growth and technical excellence.
Why join us? Work at scale: Build and operate production systems that support large, globally distributed platforms and high-impact use cases.
Technical ownership: Play a key role in shaping MLOps, DevOps, and cloud architecture standards across the organization.
Modern stack: Work with Kubernetes, GCP, Terraform, CI/CD, and production machine learning systems.
Real-world impact: Deploy and operationalize machine learning models that directly support business-critical workflows.
Collaborative culture: Partner closely with experienced engineers, data scientists, and product leaders who value strong technical judgment.
Growth and stability: Join a mature, well-funded environment that offers long-term career growth and technical depth without startup volatility.
Job Details Role Summary Join an elite engineering team at a large, globally distributed organization building next-generation, data-driven platforms at scale.
We are seeking a highly motivated and skilled Senior MLOps/DevOps Engineer to lead the architecture, deployment, and operation of modern machine learning and cloud-native systems.
This role is critical in bridging Data Science and Platform Operations, ensuring machine learning models and core services are deployed reliably, scalably, and securely in production cloud environments.
The position requires deep expertise in automation, cloud infrastructure, and the full machine learning lifecycle.
Key Responsibilities MLOps Pipeline Ownership: Design, implement, and manage end-to-end MLOps pipelines for continuous training, deployment, monitoring, and versioning of production ML models (e.g., recommendation systems, content intelligence, or analytics platforms).
Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines using modern orchestration tools such as Dagster or Airflow.
Kubernetes & Cloud Architecture: Architect, deploy, and maintain highly scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform (GCP).
DevOps & Automation: Champion DevOps best practices, including Infrastructure as Code (IaC) using Terraform or similar tools, and establish reliable CI/CD workflows.
CI/CD Implementation: Configure and manage automated deployment and testing pipelines using GitHub Actions and related tooling to ensure fast, reliable releases.
Core Development: Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration.
API & Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to serve ML predictions and application services in production.
Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to maintain system reliability.
Security & Compliance: Implement security best practices, access controls, and compliance requirements appropriate for large-scale, enterprise environments.
Collaboration & Mentorship: Partner closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers.
Required Qualifications 5+ years of experience in DevOps, Cloud Engineering, or related roles, including 2+ years focused on MLOps in production environments Advanced proficiency in Python for development, automation, and scripting Proven experience building and deploying production-grade APIs and backend services (FastAPI, Flask, Django) Strong SQL skills and experience designing and optimizing data models for relational and NoSQL systems (e.g., BigQuery, Cloud SQL) Hands-on experience with workflow orchestration tools (Dagster, Airflow) Expert knowledge of Docker and Kubernetes, including Helm and Kubernetes-native IaC tools (e.g., Crossplane); GKE experience strongly preferred Extensive experience within the Google Cloud Platform (GCP) ecosystem (Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) Strong GitHub-based development workflows (branching, pull requests, code reviews) Solid understanding of network architecture, security principles, and large-scale data processing Excellent communication, collaboration, and problem-solving skills Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $155,000
- $175,000 per year A bit about us: We are a global organization operating at the intersection of technology, data, and digital platforms, supporting products and services used by millions worldwide.
Our teams build and operate highly scalable, cloud-native systems that power data-driven decision-making, advanced analytics, and machine learning across a diverse and complex ecosystem.
With a strong emphasis on modern engineering practices, automation, and innovation, we invest heavily in the people and platforms that enable long-term growth and technical excellence.
Why join us? Work at scale: Build and operate production systems that support large, globally distributed platforms and high-impact use cases.
Technical ownership: Play a key role in shaping MLOps, DevOps, and cloud architecture standards across the organization.
Modern stack: Work with Kubernetes, GCP, Terraform, CI/CD, and production machine learning systems.
Real-world impact: Deploy and operationalize machine learning models that directly support business-critical workflows.
Collaborative culture: Partner closely with experienced engineers, data scientists, and product leaders who value strong technical judgment.
Growth and stability: Join a mature, well-funded environment that offers long-term career growth and technical depth without startup volatility.
Job Details Role Summary Join an elite engineering team at a large, globally distributed organization building next-generation, data-driven platforms at scale.
We are seeking a highly motivated and skilled Senior MLOps/DevOps Engineer to lead the architecture, deployment, and operation of modern machine learning and cloud-native systems.
This role is critical in bridging Data Science and Platform Operations, ensuring machine learning models and core services are deployed reliably, scalably, and securely in production cloud environments.
The position requires deep expertise in automation, cloud infrastructure, and the full machine learning lifecycle.
Key Responsibilities MLOps Pipeline Ownership: Design, implement, and manage end-to-end MLOps pipelines for continuous training, deployment, monitoring, and versioning of production ML models (e.g., recommendation systems, content intelligence, or analytics platforms).
Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines using modern orchestration tools such as Dagster or Airflow.
Kubernetes & Cloud Architecture: Architect, deploy, and maintain highly scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform (GCP).
DevOps & Automation: Champion DevOps best practices, including Infrastructure as Code (IaC) using Terraform or similar tools, and establish reliable CI/CD workflows.
CI/CD Implementation: Configure and manage automated deployment and testing pipelines using GitHub Actions and related tooling to ensure fast, reliable releases.
Core Development: Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration.
API & Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to serve ML predictions and application services in production.
Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to maintain system reliability.
Security & Compliance: Implement security best practices, access controls, and compliance requirements appropriate for large-scale, enterprise environments.
Collaboration & Mentorship: Partner closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers.
Required Qualifications 5+ years of experience in DevOps, Cloud Engineering, or related roles, including 2+ years focused on MLOps in production environments Advanced proficiency in Python for development, automation, and scripting Proven experience building and deploying production-grade APIs and backend services (FastAPI, Flask, Django) Strong SQL skills and experience designing and optimizing data models for relational and NoSQL systems (e.g., BigQuery, Cloud SQL) Hands-on experience with workflow orchestration tools (Dagster, Airflow) Expert knowledge of Docker and Kubernetes, including Helm and Kubernetes-native IaC tools (e.g., Crossplane); GKE experience strongly preferred Extensive experience within the Google Cloud Platform (GCP) ecosystem (Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) Strong GitHub-based development workflows (branching, pull requests, code reviews) Solid understanding of network architecture, security principles, and large-scale data processing Excellent communication, collaboration, and problem-solving skills Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
T
GRC Automation Engineer
🏢 Talently
Salary not disclosed
Job Title: GRC Automation Engineer
Location: Hybrid in San Francisco/NYC or Remote
Salary: $140,000-$215,000
Skills: Compliance Automation, Scripting & API Development, Security Frameworks (SOC 2, ISO 27001, PCI DSS), Cloud Platforms (AWS), Data Governance
About the Company / The Opportunity
:Join a forward-thinking leader in the software industry as a GRC Automation Engineer on a mission to enhance global compliance and enterprise risk management. This role offers the opportunity to shape the next evolution of a robust GRC program, embedding security and data governance principles into the heart of the business. You’ll collaborate across teams to drive automation, uphold the highest standards of compliance and ethics, and leverage advanced technologies to improve organizational security posture in a growing SaaS environment
.
*If you are located within commuting distance of our San Francisco or New York City office this is a hybrid position (M/W/F in office). Otherwise this is a remote role anywhere in the United States with occasional travel to our H
Q.
Responsibiliti
- es:
Design and automate control testing and evidence collection to reduce manual effort and improve accuracy for compliance initiati - ves.Develop and maintain scripts and APIs across cloud infrastructure, endpoints, and SaaS platforms (e.g., AWS, GitHub, Okta) to interface with compliance to
- ols.Support recurring internal and external audits (SOC 2, ISO 27001, PCI DSS) by ensuring reliable control monitoring and remediat
- ion.Champion security, compliance, and data governance strategies, including data deletion, retention, and storage proces
- ses.Leverage AI/ML tools to enhance efficiency and drive improvements in GRC processes and overall compliance post
- ure.Define technical control requirements and collaborate with engineering teams to embed compliance checks into CI/CD and infrastructure deployment pipeli
nes.
Must-Have
- Skills:
Experience in scripting or automation focused on security, infrastructure, - or GRC.Proficiency in building API endpoints and command-line tools; experience working with structured data formats (JSON, CSV
- , YAML).Solid understanding of audit processes, evidence requirements, and remediation for security and compliance frameworks (SOC 2, ISO 27001, P
- CI DSS).Ability to automate audit and evidence gathering procedures within cloud and SaaS envir
- onments.Strong collaboration skills, able to work effectively with technical and non-technical teams to drive GRC init
iatives.
Nice-to-Hav
- e Skills:
Familiarity with software development and compliance platforms (e.g., Drata, Satori - , GitHub).Experience with AI/ML systems, open-source development, and frontend cloud tec
- hnologies.Knowledge of federal security frameworks such as FedRAMP or NIST (800-53, 800-
- 171, RMF).Security certifications (e.g., CIS
- A, CISSP).Exposure to large-scale SaaS, cloud, or infrastructure environments with glo
Not Specified
M
Sr Software Testers
🏢 Medline Industries - Transportation & Operations
Salary not disclosed
Job Summary Job Description Medline Industries, LP is seeking Sr Software Testers to join our team in Northbrook, IL.
Job Description Develop test cases and test scenarios in Zephyr and automated testing tool that provide thorough coverage of implemented features and meets acceptance criteria from business stakeholders.
Enhance/execute existing automation suite using Selenium-Java and Service Automation.
Expand existing automation framework for microservice level validations.
Closely work with team on implementing service-based automation for REST and Soap calls.
Execute test automation suites in CI/CD pipelines.
Integrate Service Automation, Wire mock and UI Automation with CI/CD pipelines on Azure platforms.
Must be a strong Test Automation Engineer who can work independently and be capable of solving problems and communicate effectively with automation leads when further technical help is required.
Own and support both manual and automation streams to meet the business priorities for releases.
Provide expertise in the planning, constructing and execution of test scripts.
Apply business and functional knowledge including testing standards, guidelines, and testing methodology to meet the teams overall test objectives.
Execute smoke tests and regression tests in QA, UAT and production environments to verify code deployments and other system changes.
Create, update and track execution of test cases within Zephyr.
Identify, replicate, report and track issues to closure in an issue tracking system (JIRA).
Review requirements, providing feedback on completeness, testability and other risk areas.
Assist in the maintenance of dev/test environments including user accounts, application configuration and build deployments.
Build appreciation & culture of full stack across the team with focus on T shape skills.
Identify functional and complete manual tests to be included in automated testing and work on automating candidates for test automation.
Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application.
Write clean, performance friendly code.
Perform unit testing and prepare task documentation.
Experience with building Test Strategies and Test Plans.
Investigate and fix production issues and performance issues.
Telecommuting is permitted, but applicant must work from the worksite location at least 1 day per week.
No additional national or international travel is anticipated.
Job Requirements PRIMARY REQUIREMENTS: We will accept a combination of education and experience deemed equivalent to a Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related field, or its foreign equivalent, and 8 years of relevant work experience.
In addition, experience with the following skills is required: (1) Experience designing and executing test cases on web-based applications.
(2) Experience writing micro service automation and UI Automation using Selenium and Java.
(3) Experience using tools with Jenkins, Maven, Test NG, JIRA, and IDEs including Eclipse and Intellij Idea.
(4) Experience with version control tools including Git/GitHub.
(5) Experience utilizing mocking tools with WireMock and integrating it with Azure platforms.
(6) Experience with running test automation suites in CI/CD pipelines and experience with running automation suites in parallel on multiple VMs and browsers.
(7) Experience creating test cases based on user stories and business requirements, executing QA testing, interpreting test results, and documenting outcomes.
JOB SITE: 2375 Waterview Dr., Northbrook, IL 60062 WORK HOURS: Full Time (8am to 5pm, Monday to Friday) PAY RANGE: $121,389.00 to $138,000.00 Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here.
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Job Description Develop test cases and test scenarios in Zephyr and automated testing tool that provide thorough coverage of implemented features and meets acceptance criteria from business stakeholders.
Enhance/execute existing automation suite using Selenium-Java and Service Automation.
Expand existing automation framework for microservice level validations.
Closely work with team on implementing service-based automation for REST and Soap calls.
Execute test automation suites in CI/CD pipelines.
Integrate Service Automation, Wire mock and UI Automation with CI/CD pipelines on Azure platforms.
Must be a strong Test Automation Engineer who can work independently and be capable of solving problems and communicate effectively with automation leads when further technical help is required.
Own and support both manual and automation streams to meet the business priorities for releases.
Provide expertise in the planning, constructing and execution of test scripts.
Apply business and functional knowledge including testing standards, guidelines, and testing methodology to meet the teams overall test objectives.
Execute smoke tests and regression tests in QA, UAT and production environments to verify code deployments and other system changes.
Create, update and track execution of test cases within Zephyr.
Identify, replicate, report and track issues to closure in an issue tracking system (JIRA).
Review requirements, providing feedback on completeness, testability and other risk areas.
Assist in the maintenance of dev/test environments including user accounts, application configuration and build deployments.
Build appreciation & culture of full stack across the team with focus on T shape skills.
Identify functional and complete manual tests to be included in automated testing and work on automating candidates for test automation.
Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application.
Write clean, performance friendly code.
Perform unit testing and prepare task documentation.
Experience with building Test Strategies and Test Plans.
Investigate and fix production issues and performance issues.
Telecommuting is permitted, but applicant must work from the worksite location at least 1 day per week.
No additional national or international travel is anticipated.
Job Requirements PRIMARY REQUIREMENTS: We will accept a combination of education and experience deemed equivalent to a Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related field, or its foreign equivalent, and 8 years of relevant work experience.
In addition, experience with the following skills is required: (1) Experience designing and executing test cases on web-based applications.
(2) Experience writing micro service automation and UI Automation using Selenium and Java.
(3) Experience using tools with Jenkins, Maven, Test NG, JIRA, and IDEs including Eclipse and Intellij Idea.
(4) Experience with version control tools including Git/GitHub.
(5) Experience utilizing mocking tools with WireMock and integrating it with Azure platforms.
(6) Experience with running test automation suites in CI/CD pipelines and experience with running automation suites in parallel on multiple VMs and browsers.
(7) Experience creating test cases based on user stories and business requirements, executing QA testing, interpreting test results, and documenting outcomes.
JOB SITE: 2375 Waterview Dr., Northbrook, IL 60062 WORK HOURS: Full Time (8am to 5pm, Monday to Friday) PAY RANGE: $121,389.00 to $138,000.00 Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here.
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Not Specified
J
Staff iOS Engineer - Hybrid Remote
🏢 Jobot
Salary not disclosed
Join a Bay Area Company Where Cutting-Edge AI Meets Life-Saving Medicine! This Jobot Job is hosted by: Chris Gorman Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $190,000
- $210,000 per year A bit about us: We are a global leader in AI-driven imaging and care coordination software that empowers clinical teams to accelerate diagnosis, streamline workflows, and improve patient outcomes.
Our cloud-based solutions are trusted by hospitals worldwide, supporting the majority of the Nation's stroke cases and many more across countries around the world.
Why join us? What We Offer: Competitive base pay and overall compensation package Full benefits: Medical, Dental, Vision Generous PTO, vacation, sick, and holidays Life Insurance coverage 401K Job Details Responsibilities: 1.
Develop, maintain, and optimize iOS applications for our platform.
2.
Collaborate with cross-functional teams to define, design, and ship new features.
3.
Work on bug fixing and improving application performance.
4.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
5.
Ensure the performance, quality, and responsiveness of applications.
6.
Collaborate with the team to define, design, and ship new features.
7.
Identify and correct bottlenecks and fix bugs.
8.
Help maintain code quality, organization, and automatization.
9.
Work with outside data sources and APIs.
10.
Unit-test code for robustness, including edge cases, usability, and general reliability.
Qualifications: 1.
BS/MS degree in Computer Science, Engineering or a related subject.
2.
Proven working experience in working with respectable companies.
3.
10+ years of commercial experience building mobile applications for iOS 4.
High level of skill in Swift programming 5.
Deep knowledge of the iOS SDK and device capabilities 6.
A good understanding of the unique challenges of mobile development (intermittent connectivity, push notifications, app version/device/OS fragmentation etc.) 7.
Solid understanding of the full mobile development life cycle.
8.
High level of skill in git and GitHub 9.
Experience in hybrid applications is a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Remote working/work at home options are available for this role.
Salary: $190,000
- $210,000 per year A bit about us: We are a global leader in AI-driven imaging and care coordination software that empowers clinical teams to accelerate diagnosis, streamline workflows, and improve patient outcomes.
Our cloud-based solutions are trusted by hospitals worldwide, supporting the majority of the Nation's stroke cases and many more across countries around the world.
Why join us? What We Offer: Competitive base pay and overall compensation package Full benefits: Medical, Dental, Vision Generous PTO, vacation, sick, and holidays Life Insurance coverage 401K Job Details Responsibilities: 1.
Develop, maintain, and optimize iOS applications for our platform.
2.
Collaborate with cross-functional teams to define, design, and ship new features.
3.
Work on bug fixing and improving application performance.
4.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
5.
Ensure the performance, quality, and responsiveness of applications.
6.
Collaborate with the team to define, design, and ship new features.
7.
Identify and correct bottlenecks and fix bugs.
8.
Help maintain code quality, organization, and automatization.
9.
Work with outside data sources and APIs.
10.
Unit-test code for robustness, including edge cases, usability, and general reliability.
Qualifications: 1.
BS/MS degree in Computer Science, Engineering or a related subject.
2.
Proven working experience in working with respectable companies.
3.
10+ years of commercial experience building mobile applications for iOS 4.
High level of skill in Swift programming 5.
Deep knowledge of the iOS SDK and device capabilities 6.
A good understanding of the unique challenges of mobile development (intermittent connectivity, push notifications, app version/device/OS fragmentation etc.) 7.
Solid understanding of the full mobile development life cycle.
8.
High level of skill in git and GitHub 9.
Experience in hybrid applications is a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Remote working/work at home options are available for this role.
Not Specified
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