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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
