Senior Java Engineer with AI Platform & AWS - Hybrid
Important Disclaimers:
**Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.**
In this role, you will:
- Develop modular and scalable Java and Springboot microservices that power AI lifecycle workflows on the platform ensuring reliable performance and clear separation of concerns across services.
- Implement robust APIs and service integrations that allow data scientists and engineers to easily deploy monitor and iterate on AI models using standardized platform capabilities.
- Apply Agile practices to plan estimate and deliver features in short iterations maintaining transparency with stakeholders and continuously improving team delivery processes.
- Use DevOps methods to automate build test and deployment pipelines for AI lifecycle components on AWS reducing manual steps and enabling faster safer releases.
- Configure AWS services to host microservices and AI related workloads focusing on secure access efficient resource utilization and resilient failover strategies.
- Enhance observability for platform services through logging metrics and alerting enabling quick detection of issues and consistent tracking of AI workload performance.
- Collaborate with data and product teams to translate AI platform requirements into technical designs ensuring features support model training deployment governance and monitoring.
- Conduct code reviews and refactoring activities to uphold high standards of code quality test coverage and maintainability across Java and Springboot based solutions.
- Optimize service performance and scalability by tuning microservice configurations database interactions and AWS infrastructure settings to handle growing AI workloads.
- Ensure security controls for data and services associated with AI lifecycle including robust authentication authorization and data handling practices aligned with enterprise policies.
- Document platform designs operational procedures and user guides so AI practitioners and engineering peers can adopt and extend services with minimal friction.
- Support incident analysis and defect resolution for platform components using root cause techniques to prevent recurrence and strengthen overall reliability of AI solutions.
- Contribute to continuous improvement of AI lifecycle tooling and practices suggesting enhancements that simplify model deployment experimentation and governance.
Locations: Mclean - VA
Work model: Hybrid
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Mclean - VA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered (Required):
- Combine extensive Java and Springboot expertise with microservices design experience to create stable and reusable platform components for AI workloads.
- Apply Agile delivery experience to coordinate sprints refine backlog items and maintain steady progress on complex AI lifecycle initiatives.
- Use DevOps skills to design CI and CD pipelines manage configuration and integrate automated testing to sustain high release quality for platform features.
- Leverage AWS knowledge to select appropriate cloud services configure environments and manage cost and performance for AI enabled microservices and data flows.
- Draw on experience in commercial lending domain when applicable to better align platform capabilities with credit processes risk assessment and financial product workflows.
- Apply strong problem solving skills and attention to detail developed over six to ten years of software engineering experience to handle complex technical challenges.
- Demonstrate clear communication and collaboration abilities that support effective coordination with technology and business stakeholders in a work from office day shift environment.
Salary and Other Compensation:
Applications will be accepted until 11/20/2026.
The annual salary for this position is from $83k to $132K depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
