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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 outputs.
- 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.
- Hands-on experience with Kubernetes, container orchestration and cloud-native deployment patterns.
- Experience using AI tools for engineering productivity, prompt creation, documentation, testing and code analysis.
- Good understanding of BFS/BFSI domain concepts to create business-aware prompts and review AI-assisted outputs for correctness.
- Experience writing automation test scripts using Selenium / Cucumber.
- Strong knowledge of SQL and RDBMS database design.
- Experience as part of an Agile development team, preferably Scrum.
- Extensive years of overall industry/software engineering experience, with a strong engineering mindset and contribution across all phases of the SDLC.
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