Openai Jobs in Usa
76 positions found — Page 5
G
Solution Architect - GenAI
🏢 Galent
Salary not disclosed
We have an immediate opening for a Solution Architect - GenAI with a leading IT service/solutions provider in Charlotte/Atlanta .
Job Title: Solution Architect - GenAI
Location: Charlotte/Atlanta (Hybrid 3 Days Onsite)
We are looking for a highly experienced and hands-on Solution Architect with over 10+ years of expertise in building scalable, enterprise-grade frameworks and foundational services to support next-generation Generative AI solutions.
Key Responsibilities:
- Lead and mentor a team of engineers working on full stack development of GenAI foundational services and framework.
- Architect and implement scalable and reusable infrastructure components to support enterprise-wide AI/ML initiatives.
- Define and drive the integration strategy for LLMs and Agentic AI models into core systems and frameworks.
- Collaborate with platform, data, and ML teams to define data pipelines and infrastructure for GenAI model training, deployment, and monitoring.
- Ensure GenAI solutions are technically feasible, aligned with enterprise architecture, and meet scalability and performance requirements.
- Actively participate in the design, development, and maintenance of high-performance applications using Java, Python, JavaScript, Scala, PySpark, Spark, and Snowflake.
- Work extensively on AWS services, including designing and deploying serverless or containerized solutions using ECS, Lambda, S3, Glue, etc.
- Develop and deploy robust microservices-based and event-driven architectures using modern frameworks.
- Integrate and work with GenAI frameworks and APIs such as OpenAI, Hugging Face, Google Vertex AI, or other enterprise-grade platforms.
- Establish coding standards, perform peer code reviews, and ensure adherence to best practices, including test automation and CI/CD controls.
- Ensure security compliance through vulnerability detection and remediation and implement OWASP best practices in the application lifecycle.
- Collaborate with cross-functional Agile teams including Product Owners, QA, and DevOps for sprint planning, delivery, and continuous improvement.
Not Specified
C
Manufacturing Bring-up Engineer L2
🏢 Cerebras
Salary not disclosed
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
The Role
We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer.
Responsibilities
- Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment
- Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency
- Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains
- Design and implement efficient processes to manage and track system bring-up status and progress
- Track and report on critical bring-up metrics to drive continuous improvement
- Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap
Skills & Qualifications
- BS or MS in EE, ECE, CS or equivalent work experience
- 3+ years of industry experience in an operations environment
- Experience in hardware bring-up and the debug of complex systems
- Working knowledge and experience in Asic bringup and test processes
- Working knowledge of scripting in languages such as Python and/or Perl
- Proven experience in system bring-up and validation of complex computer systems or equivalent technologies
- Understanding of computer system architecture and hardware components
- Proficiency in scripting and automation tools for system bringup
- Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment
- Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand
Preferred:
- Familiarity in creating test and s/w infrastructure at large scale
- Working across global time zones
Location
Sunnyvale, California/ Bangalore, India/Toronto, Canada.
The base salary range for this position is $170,000 to $230,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2026.
Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Not Specified
P
Enterprise Account Executive
🏢 pursuit
Salary not disclosed
Our client, a high-growth, venture-backed healthcare technology company, is hiring an Enterprise Account Executive to join their expanding sales team. They’ve built an AI-powered platform that’s redefining how healthcare organizations capture revenue more effectively without disrupting clinical workflows, addressing one of the biggest financial challenges providers face today.
The company is experiencing rapid growth with strong product-market fit and very little direct competition, effectively defining a new category within AI-driven healthcare technology. This is a ground-floor opportunity to join a fast-scaling team backed by experienced leaders, including founders who previously sold a company to OpenAI and executives who have scaled multi-billion-dollar healthcare organizations.
This is an in-office position in San Francisco, and candidates must be comfortable working on-site with some flexibility for remote work.
Compensation:
- Strong base salary + uncapped commission (paid monthly)
- $280K–$310K OTE in year one with aggressive accelerators
- Comp plan is modeled for top reps to make $500K–$1M+ if they significantly exceed quota.
- Ramp-up guarantee built into the compensation plan
- Full benefits, wellness stipend, and office meals
Highlights:
- Proven customer impact with 11–20%+ revenue lift for healthcare organizations
- Short, repeatable sales cycle (often 1–4 months) with meaningful deal sizes
- Very little direct competition in a rapidly expanding AI healthcare market
- Strong GTM support including SDR resources, marketing, and engineering teams
Requirements:
- Enterprise sales experience preferred (1–2+ years in Enterprise), or 5+ years total sales experience with at least 3+ years in upper Mid-Market
- Experience closing six-figure deal sizes
- Must be selling a complex, niche solution into a defined industry (does not need to be healthcare)
- Comfortable operating in a faster sales cycle environment (1–4 months on average)
- Startup experience preferred over large organizations
If interested & qualified, please apply directly with your resume, or email it to - I'll reach out to discuss the opportunity in more detail!
Not Specified
A
AI DevOps Engineer
Salary not disclosed
Job Title : AI DevOps Engineer Location : Iselin ,NJ Job Description : An AI DevOps Engineer bridges the gap between artificial intelligence development and operations, ensuring that AI models and systems are deployed efficiently, monitored effectively, and maintained reliably in production environments.
Key Responsibilities and Duties Formulates system scope through research and fact-finding to develop or modify moderately complex information systems.
Evaluates and implements changes to existing system logic difficulties and documentation as necessary.
Reviews flow charts, models, and procedures and feasibility studies to design possible system solutions.
Reviews technical documentation to guide system users and to assist with the ongoing operation, maintenance, and development of the system.
Collaborates with system analysts, engineers, and programmers to design systems and to determine project limitations and capabilities, performance requirements, systems performance standards, and interfaces.
Identifies and documents all system constraints, implications and consequences of various proposed system changes.
Educates end users on system designs and functionalities through creation of training materials and conducting demos.
Evaluates the efficiency and effectiveness of application operations and troubleshooting problems.
Skills : LLM ( Claude/ OpenAI) with focus on reasoning/agentic use cases Agentic AI framework LangChain, LangGraph, CrewAI Context Engineering MCP Vector databases RAG Python language proficiency is must.
Deep understanding of cloud engineering as related AI, DevOps, Automation Strong troubleshooting and problem-solving abilities Excellent communication skills to work with both data scientists and operations teams Familiarity with agile development methodologies Knowledge of security best practices for AI systems Ability to balance technical requirements with business needs
Key Responsibilities and Duties Formulates system scope through research and fact-finding to develop or modify moderately complex information systems.
Evaluates and implements changes to existing system logic difficulties and documentation as necessary.
Reviews flow charts, models, and procedures and feasibility studies to design possible system solutions.
Reviews technical documentation to guide system users and to assist with the ongoing operation, maintenance, and development of the system.
Collaborates with system analysts, engineers, and programmers to design systems and to determine project limitations and capabilities, performance requirements, systems performance standards, and interfaces.
Identifies and documents all system constraints, implications and consequences of various proposed system changes.
Educates end users on system designs and functionalities through creation of training materials and conducting demos.
Evaluates the efficiency and effectiveness of application operations and troubleshooting problems.
Skills : LLM ( Claude/ OpenAI) with focus on reasoning/agentic use cases Agentic AI framework LangChain, LangGraph, CrewAI Context Engineering MCP Vector databases RAG Python language proficiency is must.
Deep understanding of cloud engineering as related AI, DevOps, Automation Strong troubleshooting and problem-solving abilities Excellent communication skills to work with both data scientists and operations teams Familiarity with agile development methodologies Knowledge of security best practices for AI systems Ability to balance technical requirements with business needs
Not Specified
J
Machine Learning AI Engineer
🏢 Jobot
Salary not disclosed
NEW Machine Learning AI Engineer Opportunity! This Jobot Job is hosted by: Audrey Block Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $125,000
- $145,000 per year A bit about us: We are looking for a Machine Learning AI Engineer to join the team! Why join us? HUGE Opportunity for growth Base salary + Equity Team events Lunch, gym membership, Fun Fridays Flexible schedule Job Details Job Details: We are looking for a Machine Learning AI Engineer to join our startup.
This is a permanent, full-time position requiring a minimum of 1 year of experience in the field.
Responsibilities: 1.
Design, develop and implement advanced AI models and algorithms.
2.
Utilize programming languages such as Golang and Rust to develop AI systems.
3.
Use container orchestration tools to manage and automate deployments, scaling and management of containerized applications.
4.
Develop and maintain Docker containers for deployment of AI applications.
5.
Work closely with the software development team to integrate AI models into desktop software applications.
6.
Collaborate with the OpenAI team to develop and implement cutting-edge AI technologies.
7.
Use the LLM (Language Model) to train AI models and improve their performance.
8.
Conduct regular testing to ensure the performance and reliability of AI systems.
9.
Keep up-to-date with the latest industry trends and technologies to ensure our AI systems remain competitive.
10.
Collaborate with cross-functional teams to understand needs and devise possible solutions.
Qualifications: 1.
Bachelor's degree in Computer Science, Engineering, or a related field.
A Master's degree or PhD would be advantageous.
2.
Minimum of 1 year of experience in a similar role.
3.
Strong knowledge of programming languages such as Rust and Python.
4.
Extensive experience with container orchestration tools and Docker.
5.
Proven experience in AI, machine learning, NLP and deep learning.
6.
Familiarity with desktop software development.
7.
Experience with OpenAI and LLM.
8.
Excellent problem-solving skills and the ability to think creatively.
9.
Strong communication skills, with the ability to explain complex concepts to non-technical team members.
10.
Ability to work effectively as part of a team, as well as independently.
11.
Passion for technology and a desire to stay up-to-date with the latest industry trends.
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: $125,000
- $145,000 per year A bit about us: We are looking for a Machine Learning AI Engineer to join the team! Why join us? HUGE Opportunity for growth Base salary + Equity Team events Lunch, gym membership, Fun Fridays Flexible schedule Job Details Job Details: We are looking for a Machine Learning AI Engineer to join our startup.
This is a permanent, full-time position requiring a minimum of 1 year of experience in the field.
Responsibilities: 1.
Design, develop and implement advanced AI models and algorithms.
2.
Utilize programming languages such as Golang and Rust to develop AI systems.
3.
Use container orchestration tools to manage and automate deployments, scaling and management of containerized applications.
4.
Develop and maintain Docker containers for deployment of AI applications.
5.
Work closely with the software development team to integrate AI models into desktop software applications.
6.
Collaborate with the OpenAI team to develop and implement cutting-edge AI technologies.
7.
Use the LLM (Language Model) to train AI models and improve their performance.
8.
Conduct regular testing to ensure the performance and reliability of AI systems.
9.
Keep up-to-date with the latest industry trends and technologies to ensure our AI systems remain competitive.
10.
Collaborate with cross-functional teams to understand needs and devise possible solutions.
Qualifications: 1.
Bachelor's degree in Computer Science, Engineering, or a related field.
A Master's degree or PhD would be advantageous.
2.
Minimum of 1 year of experience in a similar role.
3.
Strong knowledge of programming languages such as Rust and Python.
4.
Extensive experience with container orchestration tools and Docker.
5.
Proven experience in AI, machine learning, NLP and deep learning.
6.
Familiarity with desktop software development.
7.
Experience with OpenAI and LLM.
8.
Excellent problem-solving skills and the ability to think creatively.
9.
Strong communication skills, with the ability to explain complex concepts to non-technical team members.
10.
Ability to work effectively as part of a team, as well as independently.
11.
Passion for technology and a desire to stay up-to-date with the latest industry trends.
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
Domain Architects
Salary not disclosed
Job Summary Job Description Medline Industries, LP is seeking Domain Architects to join our team in Northbrook, IL.
Job Description Lead the design, development, and deployment of AI-based solutions and architectures.
Lead the design, development, and deployment of our ML models, establishing MLOps processes and best practices.
Mentor and guide a team of AI, ML, and IT professionals.
Develop and maintain a strategic AI roadmap aligned with business goals.
Oversee the integration of AI models into existing IT infrastructure and applications.
Ensure the scalability, reliability, and security of AI solutions.
Troubleshoot platform issues and work with the engineering, infrastructure, and operations teams to resolve them.
Stay current with emerging AI and ML technologies and industry trends.
Advocate for best practices in AI development and deployment.
Measure and report on the impact and performance of AI solutions.
Drive adoption of AI solutions through advocacy and education to the broader engineering and operations organizations.
Telecommuting is permitted, but applicant must work from the worksite location at least 3 days per week.
Job Requirements PRIMARY REQUIREMENTS: Bachelor’s degree in Computer Science, Applied Computer Science, Computer Engineering, Data Science, or related, or its foreign equivalent, and 7 years of relevant work experience.
In addition, experience with the following skills is required: (1) Experience using AI, MLOps, and machine learning, with a track record of successful AI projects.
(2) Experience designing solutions that leverage GenAI technologies, such as LLMs or Foundation Models for other data modalities.
(3) Experience utilizing GenAI concepts (transformer model architectures, prompt engineering, model fine-tuning, RAG architectures, patterns, and LLMs/technologies such as OpenAI, Llama, CoPilot).
(4) Experience working with IT architecture, cloud computing, and system integration.
(5) Experience using programming languages such as Python, R, or Java.
(6) Experience using tools and technologies including Python Libraries: Scikit-learn, TensorFlow/PyTorch, Pandas; Azure Services: Azure Cognitive Services, Azure OpenAI services, Azure Machine Learning, Azure Databricks, Azure Data Factory; Platforms: Power Platform.
(7) Experience utilizing Scrum/Agile software development methodology and modern software delivery practices.
JOB SITE: 2375 Waterview Drive, Northbrook, IL 60062 WORK HOURS: Full Time (8am to 5pm, Monday to Friday) PAY RANGE: $142,210.00 to $201,000.00 per year 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 Lead the design, development, and deployment of AI-based solutions and architectures.
Lead the design, development, and deployment of our ML models, establishing MLOps processes and best practices.
Mentor and guide a team of AI, ML, and IT professionals.
Develop and maintain a strategic AI roadmap aligned with business goals.
Oversee the integration of AI models into existing IT infrastructure and applications.
Ensure the scalability, reliability, and security of AI solutions.
Troubleshoot platform issues and work with the engineering, infrastructure, and operations teams to resolve them.
Stay current with emerging AI and ML technologies and industry trends.
Advocate for best practices in AI development and deployment.
Measure and report on the impact and performance of AI solutions.
Drive adoption of AI solutions through advocacy and education to the broader engineering and operations organizations.
Telecommuting is permitted, but applicant must work from the worksite location at least 3 days per week.
Job Requirements PRIMARY REQUIREMENTS: Bachelor’s degree in Computer Science, Applied Computer Science, Computer Engineering, Data Science, or related, or its foreign equivalent, and 7 years of relevant work experience.
In addition, experience with the following skills is required: (1) Experience using AI, MLOps, and machine learning, with a track record of successful AI projects.
(2) Experience designing solutions that leverage GenAI technologies, such as LLMs or Foundation Models for other data modalities.
(3) Experience utilizing GenAI concepts (transformer model architectures, prompt engineering, model fine-tuning, RAG architectures, patterns, and LLMs/technologies such as OpenAI, Llama, CoPilot).
(4) Experience working with IT architecture, cloud computing, and system integration.
(5) Experience using programming languages such as Python, R, or Java.
(6) Experience using tools and technologies including Python Libraries: Scikit-learn, TensorFlow/PyTorch, Pandas; Azure Services: Azure Cognitive Services, Azure OpenAI services, Azure Machine Learning, Azure Databricks, Azure Data Factory; Platforms: Power Platform.
(7) Experience utilizing Scrum/Agile software development methodology and modern software delivery practices.
JOB SITE: 2375 Waterview Drive, Northbrook, IL 60062 WORK HOURS: Full Time (8am to 5pm, Monday to Friday) PAY RANGE: $142,210.00 to $201,000.00 per year 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
A
IT Solutions Engineer / Test Lead
🏢 Axelon Services Corporation
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
Founding Product Engineer
🏢 Jobot
Salary not disclosed
Hybrid Remote Opportunity
- YCombinator Generative AI Startup Growing Fast! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000
- $200,000 per year A bit about us: Venture-backed startup, located in the heart of Silicon Valley, is disrupting the tech sales industry with Generative AI.
This company's Founder has a proven track record with startups, having a successful exit from the last startup he founded.
The team is comprised of product, engineering, and research leaders from Google AI and Stanford AI and is growing! Currently, we are looking to hire a Full Stack Engineer to own a significant portion of the platform and help build two of our brand new products end-to-end.
Why join us? Competitive salary 401k Excellent medical, dental, and vision package Upward mobility and opportunity to work on a product from early conception to release Flexible working hours Meaningful equity Hybrid remote opportunity (3 days onsite / 2 days work from home) Work in a fast-paced entrepreneurial environment + More! Job Details Key Responsibilities Partner with product, design, and engineering peers to architect and deliver a resilient, high-quality platform that users love.
Develop clean, maintainable, and performant code across the stack.
Ensure test coverage, documentation, and adherence to best practices.
Debug complex issues, optimize performance, and ship improvements with speed and precision.
Take end-to-end ownership of major platform components, including: Front End – Build modern interfaces using React/Next.js, JavaScript, TypeScript, and HTML5.
Apply deep knowledge of CSS, responsive layouts, browser quirks, and scalable component libraries to create seamless user experiences.
Back End – Leverage Python and the Django framework to develop robust APIs, automation tools, and integrations.
Work with relational databases, craft optimized SQL queries, and design high-performance backend systems.
What We’re Looking For 6–8 years of hands-on experience in front-end or full-stack engineering, ideally within the B2B SaaS or enterprise domain.
A self-starter who embraces ownership, thrives in fast-moving and ambiguous environments, and loves turning complex problems into elegant solutions.
Strong analytical mindset with excellent debugging, communication, and collaboration skills.
Proven ability to deliver quickly while maintaining exceptional quality.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Bonus skills: familiarity with Tailwind CSS, Docker, AWS services, and OpenAI APIs.
Preference for candidates based in the San Francisco Bay Area or open to relocating within a reasonable timeframe.
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
- YCombinator Generative AI Startup Growing Fast! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000
- $200,000 per year A bit about us: Venture-backed startup, located in the heart of Silicon Valley, is disrupting the tech sales industry with Generative AI.
This company's Founder has a proven track record with startups, having a successful exit from the last startup he founded.
The team is comprised of product, engineering, and research leaders from Google AI and Stanford AI and is growing! Currently, we are looking to hire a Full Stack Engineer to own a significant portion of the platform and help build two of our brand new products end-to-end.
Why join us? Competitive salary 401k Excellent medical, dental, and vision package Upward mobility and opportunity to work on a product from early conception to release Flexible working hours Meaningful equity Hybrid remote opportunity (3 days onsite / 2 days work from home) Work in a fast-paced entrepreneurial environment + More! Job Details Key Responsibilities Partner with product, design, and engineering peers to architect and deliver a resilient, high-quality platform that users love.
Develop clean, maintainable, and performant code across the stack.
Ensure test coverage, documentation, and adherence to best practices.
Debug complex issues, optimize performance, and ship improvements with speed and precision.
Take end-to-end ownership of major platform components, including: Front End – Build modern interfaces using React/Next.js, JavaScript, TypeScript, and HTML5.
Apply deep knowledge of CSS, responsive layouts, browser quirks, and scalable component libraries to create seamless user experiences.
Back End – Leverage Python and the Django framework to develop robust APIs, automation tools, and integrations.
Work with relational databases, craft optimized SQL queries, and design high-performance backend systems.
What We’re Looking For 6–8 years of hands-on experience in front-end or full-stack engineering, ideally within the B2B SaaS or enterprise domain.
A self-starter who embraces ownership, thrives in fast-moving and ambiguous environments, and loves turning complex problems into elegant solutions.
Strong analytical mindset with excellent debugging, communication, and collaboration skills.
Proven ability to deliver quickly while maintaining exceptional quality.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Bonus skills: familiarity with Tailwind CSS, Docker, AWS services, and OpenAI APIs.
Preference for candidates based in the San Francisco Bay Area or open to relocating within a reasonable timeframe.
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 AI/ML Engineer
🏢 Jobot
Salary not disclosed
New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services.
This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $140,000
- $180,000 per year A bit about us: We’re transforming how government agencies digitize forms and automate workflows.
Our new initiative brings AI directly into this process
- using LLMs, vector search, and structured PDF parsing to accelerate public service delivery.
We’re not just bolting AI onto the side.
It’s becoming core to how our platform works.
We’re looking for a senior machine learning engineer to take the lead on this effort.
You’ll be the architect of our AI capability
- not just a contributor.
Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately.
This isn’t an R&D team running experiments
- it’s about delivering intelligent automation, right now.
Why join us? 100% remote based in the US Help shape the AI transformation of public sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families Job Details You’ll design and build our machine learning infrastructure
- starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops.
You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder.
This is not a research job or a sandbox role
- it’s a real opportunity to push AI into production at scale.
What you’ll do Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search Design prompt strategies and agents to translate parsed PDF data into form component schemas Fine-tune LLMs for structured output generation with low-latency performance in mind Lead the development of an RLHF loop that incorporates builder UI feedback and audit data Help architect systems that blend traditional APIs and probabilistic inference reliably Work alongside full-stack and platform engineers to get it all running in production Stay plugged into the latest model capabilities, and make smart calls on what to adopt Tech you’ll use Azure AI Studio, Azure OpenAI, GPT-4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD for structured PDF parsing What we’re looking for 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering Strong Python skills and familiarity with production-grade ML pipelines Experience designing and tuning RAG workflows with hybrid search Familiarity with RLHF and fine-tuning on structured JSON output Solid grasp of system-level thinking—how to bring ML into product environments cleanly Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months You’ve shipped a working vector search + RAG pipeline integrated into our form builder You’ve scoped and kicked off our first LLM fine-tuning cycle We’re collecting human feedback to improve model accuracy You’ve helped define the roadmap for AI integrations across the platform 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
This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $140,000
- $180,000 per year A bit about us: We’re transforming how government agencies digitize forms and automate workflows.
Our new initiative brings AI directly into this process
- using LLMs, vector search, and structured PDF parsing to accelerate public service delivery.
We’re not just bolting AI onto the side.
It’s becoming core to how our platform works.
We’re looking for a senior machine learning engineer to take the lead on this effort.
You’ll be the architect of our AI capability
- not just a contributor.
Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately.
This isn’t an R&D team running experiments
- it’s about delivering intelligent automation, right now.
Why join us? 100% remote based in the US Help shape the AI transformation of public sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families Job Details You’ll design and build our machine learning infrastructure
- starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops.
You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder.
This is not a research job or a sandbox role
- it’s a real opportunity to push AI into production at scale.
What you’ll do Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search Design prompt strategies and agents to translate parsed PDF data into form component schemas Fine-tune LLMs for structured output generation with low-latency performance in mind Lead the development of an RLHF loop that incorporates builder UI feedback and audit data Help architect systems that blend traditional APIs and probabilistic inference reliably Work alongside full-stack and platform engineers to get it all running in production Stay plugged into the latest model capabilities, and make smart calls on what to adopt Tech you’ll use Azure AI Studio, Azure OpenAI, GPT-4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD for structured PDF parsing What we’re looking for 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering Strong Python skills and familiarity with production-grade ML pipelines Experience designing and tuning RAG workflows with hybrid search Familiarity with RLHF and fine-tuning on structured JSON output Solid grasp of system-level thinking—how to bring ML into product environments cleanly Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months You’ve shipped a working vector search + RAG pipeline integrated into our form builder You’ve scoped and kicked off our first LLM fine-tuning cycle We’re collecting human feedback to improve model accuracy You’ve helped define the roadmap for AI integrations across the platform 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 Software Engineer
🏢 Jobot
Salary not disclosed
Urgently hiring Senior Software Engineer for hybrid role positioned in Pittsburgh/PA or Charlotte/NC This Jobot Job is hosted by: Doug Goldman 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: Our Client is a high-growth, institutional technology platform focused on providing uniquely capable solutions to IRA providers, 401(k) recordkeepers, retirement-focused Advisors, Mutual Fund investment providers, and banks interested in growing their IRA capabilities, revenue, and market share.
Why join us? Through proprietary, ground-up technology, we are changing the landscape and are empowering client companies to provide broader access to the best retirement services possible while significantly lowering administration costs and increasing efficiency, profitability, and competitiveness, far beyond industry expectations.
Job Details As a SENIOR SOFTWARE ENGINEER, you will be responsible for analyzing, designing, and developing software systems to create solutions for the business strategy.
Analysis and enhancements to the current business applications, including performance, diagnosis, and troubleshooting of problem applications, and designing solutions to enhance systems.
Responsible for the design and development of new software architectures and systems.
Desired Skills and Experience The essential skills and experience for this position include, but are not limited to, the following: Languages: Java/J2EE, JavaScript/TypeScript, Go Frameworks: Spring Boot, Spring Framework, Angular, React, Node.js Databases: ElasticSearch, PostgreSQL, MySQL Cloud: AWS (ECS, CloudFormation, S3, IAM, Cognito, RDS) Messaging: RabbitMQ, Apache Camel, MQ/PubSub Tools: Maven, Ant, JUnit, Selenium, Docker, Git AI: Proficient with Cursor/Claude/OpenAI LLMs in Development Setting Requirements Must be US Citizen, Permanent Resident or eligible to work in the US permanently.
BS.
Degree in Computer Science, Software Engineering, Information Systems, or other related fields.
5+ years of recent full-time, hands-on professional experience programming in Java/J2EE.
5+ years of recent full-time, hands-on professional experience developing web-based enterprise applications.
3+ years of experience working with Spring framework.
3+ years of experience with application servers (Tomcat,GlassFish, JBoss,etc).
3+ years of working experience with RESTful Web Services development (or equivalent, SOAP,etc).
3+ years of experience with Relational Databases (MySQL, MS SQL Server, PostgreSQL,etc).
3+ years of experience working on and developing forLinux, MacOS, FreeBSD,Unixor Unix-like operating systems.
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: Our Client is a high-growth, institutional technology platform focused on providing uniquely capable solutions to IRA providers, 401(k) recordkeepers, retirement-focused Advisors, Mutual Fund investment providers, and banks interested in growing their IRA capabilities, revenue, and market share.
Why join us? Through proprietary, ground-up technology, we are changing the landscape and are empowering client companies to provide broader access to the best retirement services possible while significantly lowering administration costs and increasing efficiency, profitability, and competitiveness, far beyond industry expectations.
Job Details As a SENIOR SOFTWARE ENGINEER, you will be responsible for analyzing, designing, and developing software systems to create solutions for the business strategy.
Analysis and enhancements to the current business applications, including performance, diagnosis, and troubleshooting of problem applications, and designing solutions to enhance systems.
Responsible for the design and development of new software architectures and systems.
Desired Skills and Experience The essential skills and experience for this position include, but are not limited to, the following: Languages: Java/J2EE, JavaScript/TypeScript, Go Frameworks: Spring Boot, Spring Framework, Angular, React, Node.js Databases: ElasticSearch, PostgreSQL, MySQL Cloud: AWS (ECS, CloudFormation, S3, IAM, Cognito, RDS) Messaging: RabbitMQ, Apache Camel, MQ/PubSub Tools: Maven, Ant, JUnit, Selenium, Docker, Git AI: Proficient with Cursor/Claude/OpenAI LLMs in Development Setting Requirements Must be US Citizen, Permanent Resident or eligible to work in the US permanently.
BS.
Degree in Computer Science, Software Engineering, Information Systems, or other related fields.
5+ years of recent full-time, hands-on professional experience programming in Java/J2EE.
5+ years of recent full-time, hands-on professional experience developing web-based enterprise applications.
3+ years of experience working with Spring framework.
3+ years of experience with application servers (Tomcat,GlassFish, JBoss,etc).
3+ years of working experience with RESTful Web Services development (or equivalent, SOAP,etc).
3+ years of experience with Relational Databases (MySQL, MS SQL Server, PostgreSQL,etc).
3+ years of experience working on and developing forLinux, MacOS, FreeBSD,Unixor Unix-like operating systems.
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
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