Cognizant
Senior Java Software Engineer
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Job Summary
We’re looking for a Platform Engineer / Backend Engineer with extensive experience, strong Java, AWS and Kubernetes skills, and a strong engineering mindset to take a key role on our team. The engineer should have a thorough understanding of the Software Development Life Cycle (SDLC) and should have contributed across all its phases – requirements, design, development, testing, deployment and support – along with experience building scalable backend and cloud-native services. The role also calls for good experience using AI tools, including the ability to write the right prompts for a given context, to improve engineering productivity, documentation, testing and solution design. A good understanding of the Banking, Financial Services and Insurance (BFSI/BFS) domain is important so the engineer can write accurate, business-aware prompts and validate AI-assisted outputs in context.
Key Responsibilities
- Good understanding of design concepts, distributed systems and cloud-native architecture
- Bring a strong engineering mindset and a solid understanding of the Software Development Life Cycle (SDLC), with demonstrated contribution across all its phases – requirements analysis, design, development, testing, deployment and production support
- Maintain quality and ensure responsiveness, scalability and reliability of applications
- Experience with common design and architectural patterns coupled with a passion for writing clean, performant and well-tested code
- Maintain code integrity, organization and secure engineering practices
- Understand and implement security, data protection and compliance-aware development practices
- Develop backend services using Core Java 11 and above, JDBC, Microservices, REST Web Services, Spring Framework, Kafka and AWS
- Design, deploy and operate containerized services using Docker and Kubernetes, including AWS EKS/ECS, Helm or equivalent deployment tooling, service discovery, configuration, secrets and observability practices
- Use AI-assisted engineering tools responsibly for code generation, unit test creation, documentation, debugging, code review support, analysis and productivity improvement
- Write clear, accurate and context-rich prompts for AI tools by applying strong understanding of BFS/BFSI business processes, terminology, risk, controls and customer journeys
- Experience with cloud message APIs and usage of push notifications
- Follow and advocate best coding practices, CI/CD, continuous delivery and code reviews
- Experience working with relational and non-relational databases
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Essential Skills
- Extensive experience in Java 11 and above, Spring Framework, MVC, JDBC, Hibernate, REST Microservices/API’s, Cloud API’s and AWS services such as Lambda, ECS, EKS and Terraform, with a strong engineering mindset
- Strong understanding of SDLC with demonstrated contribution across all its phases – requirements, design, development, testing, deployment and support
- Strong Kubernetes experience, including cluster concepts, deployments, services, ingress, config maps, secrets, autoscaling, monitoring/observability and troubleshooting containerized workloads
- Extensive experience in backend development using Oracle PL/SQL and NoSQL databases
- Good experience using AI tools in the software delivery lifecycle, including prompt writing, code assistance, test generation, documentation, debugging and validation of AI-generated output
- Good understanding of the BFS/BFSI domain, including financial products, customer/account journeys, regulatory sensitivity, data privacy, risk controls and domain terminology, to support accurate prompt engineering and business-context validation
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Nice to Have Skills
- Good understanding of CI/CD framework and build automation
- Good understanding of Agile methodologies and practices
- Experience with infrastructure as code and deployment automation for Kubernetes-based platforms
- Analytical and reasoning skills
- Strong communication and collaboration skills
Qualifications
- Expert in Core Java 11 and above
- Thorough understanding of Java EE architecture, design patterns and Spring Framework
- Experience writing RESTful web services
- Experience with commonly used AWS services such as Lambda, EKS, ECS and EC2
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