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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 supports the full software development lifecycle, including front-end development, back-end services, database design, system integration, deployment, and ongoing operational support.
The engineer collaborates with cross-functional teams to deliver reliable, integrated technology solutions aligned with business needs.
Candidates will be considered at Level III, IV, or V depending on experience and demonstrated technical leadership.
Key Responsibilities Full Stack Development • Design, develop, test, and maintain enterprise-grade applications across the technology stack.
• Build modern, responsive, and user-friendly interfaces using React or similar frameworks.
• Develop backend services, RESTful APIs, and microservices using Java (Spring Boot), Node.js, and/or Python.
• Ensure applications are optimized for performance, scalability, reliability, and maintainability.
Architecture & Integration • Contribute to system design and architectural decisions.
• Develop and maintain integrations between enterprise platforms to ensure data accuracy and operational efficiency.
• Participate in API design, microservices architecture, and modernization initiatives.
Cloud & DevOps • Deploy and support applications in Azure environment.
• Implement and maintain CI/CD pipelines to support automated builds, testing, and deployments.
• Utilize containerization and orchestration tools such as Docker and Kubernetes.
• Support infrastructure-as-code and DevOps best practices.
Operational Excellence & Support • Monitor system performance and troubleshoot issues across the stack.
• Perform root cause analysis and implement long-term solutions.
• Plan and execute upgrades, enhancements, and system optimizations.
• Provide visibility into application health and performance metrics.
Collaboration & Leadership • Partner with business stakeholders, analysts, and technical teams to translate requirements into scalable solutions.
• Participate in Agile/Scrum ceremonies and iterative development processes.
• Mentor junior engineers and contribute to knowledge sharing.
• Lead technical initiatives or projects based on level and experience.
Compliance & Security • Ensure adherence to corporate policies and regulatory standards (including RUS, OSHA, SOX, NERC, FERC, and ITS requirements).
• Apply secure coding practices and support application and infrastructure security initiatives.
• Promote a culture of compliance, accountability, and continuous improvement.
Qualifications Education Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
Experience by Level Level III • 4+ years of full stack development experience.
• Independently manages development tasks and production support.
• Leads smaller initiatives and contributes to team projects.
Level IV • 6+ years of experience including application architecture and system optimization.
• Leads development projects and provides technical direction.
• Collaborates cross-functionally to deliver integrated enterprise solutions.
Level V • 8+ years of experience architecting and managing enterprise-scale applications.
• Oversees major technical initiatives.
• Provides strategic technical leadership and drives innovation across IT functions.
Technical Expertise • Java (Spring Boot), React.js or similar framework, Python, Node.js • Microservices architecture and API management • MSSQL, Oracle, MongoDB • Azure or AWS/GCP (cloud-native architectures preferred) • CI/CD pipelines, GitHub • Docker, Kubernetes, Terraform • Secure coding practices (OAuth, JWT, SSL) • Observability, logging, and monitoring tools • Familiarity of ML/AI technologies Key Competencies • Strong analytical and troubleshooting skills • Excellent written and verbal communication abilities • Customer-focused mindset • Ability to work independently and collaboratively • Commitment to continuous learning and technical growth Why Join OPC, GTC, and GSOC? • Work on impactful, mission-critical enterprise systems • Contribute to modernization and cloud transformation initiatives • Grow your technical leadership capabilities • Be part of a collaborative, innovation-driven IT organization
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.
The Senior Manager, Portfolio Analytics & Strategy leads strategy development and advanced analytics supporting the client's Operations and Portfolio Management functions. You will manage a team of Analysts and partner with leaders across Servicing, Legal, Risk, Finance, and Technology to optimize Servicing, pre- and post-charge-off strategy, digital communications, customer treatment models, productivity and loss improvements. This role sits at the intersection of business strategy, customer experience innovation and data science.
You will spend your time
- Leading analytics initiatives across operations to monitor portfolio performance, monitor strategies and recommend process and reporting improvements
- Guiding the formulation of contact and servicing strategies, portfolio segmentation, and channel optimization to evaluate algorithm performance and identify opportunities for continuous improvement.
- Managing and mentoring a high-performing analytics team, providing coaching, feedback, and long-term career development
- Designing and executing champion/challenger strategies and data-driven campaigns to improve customer experience and loss outcomes
- Partnering with cross-functional teams (Operations, Finance, Technology, Legal, Compliance, Product) to develop and implement portfolio and treatment strategies
- Guiding analyst through design, development and deployment of machine learning models across customer treatment, valuation, loss mitigation, and AI-powered decisioning with a hands-on approach
- Exploring and implementing opportunities using Generative AI and Large Language Models (LLMs) to modernize operations in partnership with Technology.
- Communicating clear, actionable recommendations through dashboards, presentations, and storytelling to senior stakeholders
What you will need to succeed
This role is ideal for an innovative analytics leader ready to shape strategy, apply machine learning techniques, and make a visible impact in Servicing. The ideal candidate combines strong technical skills in data analytics, modeling and AI with vast experience in portfolio performance. They are proven team leaders who can recruit, mentor, and develop talent, and they excel at turning insights into decisions that influence senior leadership. Success in this role requires comfort with fast-paced, ambiguous environments, very strong business acumen in collections and servicing, and expertise in data infrastructure, automation, and performance measurement. They should also be skilled in building complex models, explaining business metrics, and teaching others to do the same.
To be eligible
- Bachelor’s degree in a quantitative or business field required; advanced degree (MS, MBA, etc.) strongly preferred
- 5+ years in analytics or strategy, including 2+ years leading teams.
- Experience creating and maintaining data science algorithms in business environments and designing and analyzing statistical tests.
- Deep working knowledge of Python, SQL, and cloud-based platforms (e.g., Azure); GitHub experience a plus
- Strong results focus, project management, & teamwork
- Ability to explain complex concepts and communicate business insights to the team, other managers, with similar and different business backgrounds, and Senior Executives alike.
We are seeking an experienced Technical Writer III to support complex documentation initiatives within a technology-driven engineering environment. This role will collaborate closely with engineering, product, and cross-functional teams to create and maintain high-quality technical documentation.
Key Responsibilities
- Develop, edit, and maintain technical documentation including:
- User manuals
- Installation guides
- Release notes
- Online help content
- FAQs and process documentation
- Collaborate with engineers, SMEs, and product teams to gather and translate technical information into clear, user-friendly content
- Manage documentation repositories and version control processes
- Ensure documentation accuracy, clarity, and compliance with company standards
- Maintain templates and ensure consistency across documentation
- Support documentation updates aligned with product changes and engineering revisions
- Manage multiple documentation projects and meet deadlines
Required Qualifications
- Bachelor’s degree in Technical Writing, English, Communications, Computer Science, or related field
- 3–5+ years of technical writing experience
- Experience developing complex technical documentation
- Strong written and verbal communication skills
- Ability to explain technical concepts to non-technical audiences
- Strong organizational and time-management skills
Preferred Skills
- Experience with documentation tools such as:
- Windchill
- Adobe FrameMaker
- MadCap Flare
- RoboHelp
- Markdown editors
- Familiarity with CMS platforms and version control tools (Git/GitHub)
- Experience working in Agile or software development environments
- Basic knowledge of APIs or programming concepts
- Experience with AI-based documentation tools (a plus)
We are looking for a Design Developer with excellent design skills and coding chops to focus on AI-powered developer experiences!
Overview
This role sits at the intersection of product design and front-end development, supporting rapid prototyping and implementation across web and product experiences. This role will support a variety of developer web and product areas and experiences.
The ideal candidate is a strong designer who can build and test their own work, reducing traditional design to dev handoff and enabling faster iteration.
This is a modern, cross disciplinary role — someone who can move fluidly from concept to coded prototype, using both established front-end frameworks and emerging AI tools.
________________________________________
Key Responsibilities
• Design high quality UI and product experiences across web and product surfaces
• Translate designs directly into working front end implementations using component frameworks (e.g., React based systems)
• Build and test prototypes owning implementation through iteration
• Produce design artifacts across fidelities (e.g., wireframes, journey maps, prototypes, high-fidelity visuals, redlines) using Figma, Vercel, and other AI prototyping tools
• Rapidly prototype concepts using AI assisted tools to explore and validate ideas quickly
• Collaborate closely with product, engineering, and design partners in short cycle, fast moving workflows
• Support both website and product work, adapting to changing priorities and assignments
• Participate in a “strike team” style model, contributing across multiple components or products as needed
________________________________________
Required Skills & Experience
• Bachelor’s degree in Industrial Design, Product Design, HCI, UX, Interaction Design, or equivalent work experience
• Strong foundation in product and UI design
o Hands on experience with front end development, including React or similar web component based frameworks and HTML, CSS, JS/TS, Python
o Working with design systems and reusable components
• 5+ years experience in Figma and Adobe Creative Suite, with examples of high-quality design artifacts produced (e.g., diagrams, wireframes, mockups)
• 3+ years of end-to-end design process experience, including shipping products or delivering services to customers
• Comfort using GitHub and collaborative development workflows
• Experience implementing and testing designs directly in code
• AI assisted tools for prototyping and code generation (e.g., Copilot style tools)
• Familiarity with rapid prototyping workflows and iterative design
• Ability to adapt quickly as tools and processes evolve
• Strong collaborations skills, with demonstrated experience working across both design and development disciplines
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
A little about us...
Role: UI Developer
Location: Berkeley Heights, NJ
Job Description:
Key Responsibilities:
•Excellent knowledge of HTML5 & CSS3, JavaScript.
•Hands-on experience of building Responsive Websites using Bootstrap or other responsive framework (at least two to three projects).
•Solid understanding of cross-browser compatibility issues and ways to work around them.
•Good understanding of design or visualization online tools like Invision, Figma etc.
•Knowledge of web site development with best practices like W3C Standards
•Good understanding of GitHub, SVN
•Good understanding of AGILE -SCRUM.
Preferred background and qualifications:
• Bachelor’s or master’s degree in computer science/engineering or similar education
•Work in collaboration with Product owner, UX Lead to understand requirements.
•Build reusable code and libraries for future use.
•Optimize application for maximum speed and scalability
Preferred personal qualities:
•Excellent communication skills (Verbal & Written)
•Ability to Work with the other developers and designers to develop product features.
•Excellent Logical & analysis Skills
•Proven experience of working as part of a cross functional team.
Ability to adapt and react to changes
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes.
Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S.
Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau.
About this position: Front-End Web Developer in Suitland, MD The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job.
Other duties may be assigned.
To perform this job successfully, an individual must be able to satisfactorily perform each essential duty.
The requirements listed below are representative of the knowledge, skill and/or ability required.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.
Applicants will be notified via email or phone within ten business days regarding application status.
Essential Duties & Responsibilities Developing and maintaining web applications using JavaScript-based frameworks, particularly Angular (including Angular Material UI).
While primarily a front-end role, some experience with server-side frameworks, particularly Java and JSP, is preferred as you'll occasionally overlap and back up our Senior Java Developer.
Designing applications and refactoring code for optimal design, performance, modularization, and to eliminate redundancies.
Commitment to code security and integrity, utilizing tools like GitHub code scanning and CodeQL to identify and remediate vulnerabilities.
Required (Minimum Necessary) Qualifications Education Requirements: A bachelor’s degree is required Level of Experience Requirements: -5 years of experience in Front-End Web Development Ability to work independently with minimal oversight.
Knowledge, Skills, Abilities, and Other Characteristics Strong experience developing and maintaining web applications using JavaScript-based frameworks, particularly Angular (including Angular Material UI).
Familiarity with other frameworks, such as React and Vue, is a plus.
Experience with Docker (or similar) for local development, testing, and deployment to various application environments.
Experience developing and maintaining applications in cloud environments, whether on Virtual Machines (VMs) or in containerized clusters.
Experience with DevOps best practices, including: Writing and maintaining code using GitHub, including familiarity with branching strategies (e.g., GitFlow), release management, rebasing, and maintaining clean commit history.
Working with CI/CD pipelines (Jenkins or GitHub Actions) to create and maintain automated build and deployment processes Solid understanding of JavaScript, HTML, CSS, jQuery, and Bootstrap.
Experience with service-oriented architecture and microservices, especially working with RESTful API services.
You'll architect applications and refactor code for optimal design, performance, modularization, and to eliminate redundancies.
Familiarity with Node.js applications and managing packages using npm.
• Knowledge of organizational procedures and workflows – understanding how work moves through a company.
• Basic knowledge of relevant technologies or tools – e.g., Microsoft 365, communication platforms, or industry‑standard software.
• Knowledge of customer service practices – principles of providing quality service and managing inquiries professionally.
• Knowledge of data privacy and confidentiality principles – awareness of proper handling of sensitive information.
• Communication skills (written and verbal) – ability to convey information clearly and professionally.
• Time management and prioritization – balancing multiple tasks and meeting deadlines.
• Problem‑solving and critical thinking – analyzing issues and selecting appropriate solutions.
• Interpersonal and teamwork skills – building rapport and collaborating effectively with others.
• Attention to detail – producing accurate, error‑free work.
Preferred Experience in a Cloud environment, specifically AWS.
Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role.
Employees must always maintain a constant state of mental alertness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about.
Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role.
Employees must always maintain a constant state of situational awareness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
The job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system.
The work described herein is primarily in a modern office setting.
Occasional travel may be required.
Supervisory Responsibilities • This position will not have supervisory responsibilities.
DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation “safety-sensitive” functions.
Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results.
If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations.
Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.
Bering Straits Native Corporation is an equal opportunity employer.
All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
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.
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We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you!
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
We're looking for a Product Manager with a demonstrated interest and aptitude for AI. While formal on-the-job experience with AI is a plus, we highly value candidates who have proactively incorporated AI into their personal projects, explored AI-driven development environments (e.g., Cursor, GitHub Copilot), or built automations using AI agents. Show us how you've used AI to learn, build, and solve problems beyond basic text generation.
What we are looking for:
A knowledge and passion for emerging technologies (API's, Big Data, Native UI's) to incorporate into building great products
Use SQL to build a data-back strategy, identify insights, and troubleshoot issues
Own day to day setting and monitoring of KPIs - requires strong SQL/data analysis skills
Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team
Proficiency in handling large data files using SQL, Python, and/or R
Own day to day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data
A product centric mindset to take a product from ideation to production and continually iterate improvements
A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams
A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging
Creating and maintaining a healthy team culture through thoughtful leadership
Results focused and able to manage and prioritize multiple projects simultaneously
Identify, prioritize, and launch innovative, merchant focused products that drive revenue and customer value
What you'll do:
Lead multiple teams of software and data engineers to design and deliver data platform features for internal users
Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns
Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions
Create a vision and roadmap for your product that addresses stakeholder needs
Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches
Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms
Define, socialize, and monitor key performance indicators to understand the evolution and success of the project
Basic Qualifications:
At least 5 years of experience working in Product Management
At least 5 years experience working with SQL
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
Capital One is open to hiring a Remote Employee for this opportunity .
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $210,500 - $240,300 for Sr. Mgr, Product ManagementRemote (Regardless of Location): $175,500 - $200,300 for Sr. Mgr, Product ManagementMcLean, VA: $193,000 - $220,300 for Sr. Mgr, Product ManagementSan Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product ManagementSenior Manager, Product Manager: Capital One Shopping (Remote-Eligible)
We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you!
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
We're looking for a Product Manager with a demonstrated interest and aptitude for AI. While formal on-the-job experience with AI is a plus, we highly value candidates who have proactively incorporated AI into their personal projects, explored AI-driven development environments (e.g., Cursor, GitHub Copilot), or built automations using AI agents. Show us how you've used AI to learn, build, and solve problems beyond basic text generation.
What we are looking for:
A knowledge and passion for emerging technologies (API's, Big Data, Native UI's) to incorporate into building great products
Use SQL to build a data-back strategy, identify insights, and troubleshoot issues
Own day to day setting and monitoring of KPIs - requires strong SQL/data analysis skills
Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team
Proficiency in handling large data files using SQL, Python, and/or R
Own day to day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data
A product centric mindset to take a product from ideation to production and continually iterate improvements
A customer-first mindset
A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams
A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging
Creating and maintaining a healthy team culture through thoughtful leadership
Results focused and able to manage and prioritize multiple projects simultaneously
Identify, prioritize, and launch innovative, merchant focused products that drive revenue and customer value
What you'll do:
Lead multiple teams of software and data engineers to design and deliver data platform features for internal users
Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns
Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions
Create a vision and roadmap for your product that addresses stakeholder needs
Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches
Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms
Define, socialize, and monitor key performance indicators to understand the evolution and success of the project
Basic Qualifications:
At least 5 years of experience working in Product Management
At least 5 years experience working with SQL
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
Capital One is open to hiring a Remote Employee for this opportunity .
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $210,500 - $240,300 for Sr. Mgr, Product ManagementRemote (Regardless of Location): $175,500 - $200,300 for Sr. Mgr, Product ManagementMcLean, VA: $193,000 - $220,300 for Sr. Mgr, Product ManagementSan Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product ManagementCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-8 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to
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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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Remote working/work at home options are available for this role.
