Java Developer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Role Overview

The role is focusing on analysis, design, and development of APIs to support MLFlow integration with the Model Review process and MRM Validation Studio. The position is requiring strong backend engineering skills, solid understanding of system and data architecture, and close alignment with Model Risk Management (MRM) and model validation stakeholders.
The candidate is actively collaborating across technology, model risk, data science, and governance teams while leveraging AI coding agents to accelerate delivery, quality, and consistency.

Key Responsibilities

• Performing analysis, design, and development of APIs to support MLFlow integration with the Model Review process and MRM Validation Studio
• Enabling seamless integration between MLFlow model lifecycle artifacts (models, runs, metadata, metrics) and enterprise MRM platforms
• Designing and developing scalable, secure, and high-performance Java-based APIs
• Building backend services that support model onboarding, validation workflows, auditability, and governance
• Designing and managing data models aligned to MRM, regulatory, and operational requirements
• Working with DB2 and/or MongoDB, ensuring data quality, lineage, and traceability
• Ensuring API designs are aligning with enterprise architecture, security, and compliance standards
• Collaborating closely with data scientists, model validators, risk managers, architects, QA, and DevOps teams
• Participating in design sessions, architecture reviews, and code reviews
• Supporting the full SDLC including development, testing, deployment, and production support
• Leveraging AI coding agents to improve productivity, accelerate development, generate tests, and enhance documentation
• Continuously enhancing API reliability, performance, monitoring, and error-handling mechanisms

Required Technical Skills

• Strong experience in Java application development in enterprise environments
• Hands-on experience with DB2 and/or MongoDB
• Strong experience designing and developing RESTful APIs
• Solid understanding of system architecture, data models, and integration patterns
• Experience integrating platforms with MLFlow or similar model lifecycle management tools
• Experience working in Agile / DevOps environments
• Model Risk Management & ML Platform Knowledge
• Demonstrating a good understanding of Model Risk Management (MRM) concepts, including model lifecycle, validation, governance, and regulatory expectations
• Experience supporting model review, model validation, or risk management workflows
• Familiarity with MLFlow concepts, including model registration, experiment tracking, and metadata management, is strongly desired
• Prior experience in banking or financial services risk environments is a strong plus
• AI Coding & Productivity (Must-Have Requirement)
• Actively using AI coding agents, including:
• GitHub Copilot
• AMP
• Claude Code
• Demonstrating hands-on experience using AI tools for:
• Code generation and refactoring
• Test generation
• Documentation and productivity enhancement
• Practicing responsible and secure usage of AI-assisted development tools
• Demonstrating excellent written and verbal communication skills
• Actively collaborating across cross-functional teams
• Clearly articulating technical concepts to both technical and non-technical stakeholders
• Taking ownership and working proactively in a fast-paced, regulated delivery environment

The base compensation range for this role in the posted location is: 81,000 to 97,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.