Senior Software Engineer - Jav · Pune

Senior Software Engineer - Java Full Stack & AI Assisted Engineering is a delivery-focused opportunity based in Pune, India.

You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. To be successful as a Senior Software Engineer - Java Full Stack & AI Assisted Engineering, you should have experience with: Design, develop, test and deploy enterprise-grade applications using Java and Spring Boot.Build scalable, resilient, and secure microservices-based solutions.Develop responsive and modern user interfaces using ReactJS and TypeScript.Translate business requirements into technical solutions and high-quality software deliverables.Participate in architecture discussions and contribute to solution design decisions.Ensure applications meet performance, security, reliability, and operational standards.Lead complex technical investigations and production issue resolutions.Design and implement cloud-native solutions on AWS.Work with AWS services including ECS/EKS, Lambda, API Gateway, S3, DynamoDB/RDS, CloudWatch, IAM and EventBridge.Implement Infrastructure as Code using Terraform or CloudFormation.Support CI/CD automation and release processes.Drive adoption of secure coding practices and engineering standards.Perform code reviews and promote clean code principles.Implement automated unit, integration, and regression testing.Ensure observability through logging, monitoring, and alerting frameworks.Contribute to technical debt reduction and platform modernization initiatives.Effectively leverage AI engineering tools such as Claude, GitLab Duo, GitHub Copilot, ChatGPT Enterprise, and other approved enterprise AI tools.Utilize AI assistants for code generation, test automation, documentation, code review support, root cause analysis, and solution design acceleration.Drive r

Key Responsibilities

• You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions
• To be successful as a Senior Software Engineer - Java Full Stack & AI Assisted Engineering, you should have experience with: Design, develop, test and deploy enterprise-grade applications using Java and Spring Boot.Build scalable, resilient, and secure microservices-based solutions.Develop responsive and modern user interfaces using ReactJS and TypeScript.Translate business requirements into technical solutions and high-quality software deliverables.Participate in architecture discussions and contribute to solution design decisions.Ensure applications meet performance, security, reliability, and operational standards.Lead complex technical investigations and production issue resolutions.Design and implement cloud-native solutions on AWS.Work with AWS services including ECS/EKS, Lambda, API Gateway, S3, DynamoDB/RDS, CloudWatch, IAM and EventBridge.Implement Infrastructure as Code using Terraform or CloudFormation.Support CI/CD automation and release processes.Drive adoption of secure coding practices and engineering standards.Perform code reviews and promote clean code principles.Implement automated unit, integration, and regression testing.Ensure observability through logging, monitoring, and alerting frameworks.Contribute to technical debt reduction and platform modernization initiatives.Effectively leverage AI engineering tools such as Claude, GitLab Duo, GitHub Copilot, ChatGPT Enterprise, and other approved enterprise AI tools.Utilize AI assistants for code generation, test automation, documentation, code review support, root cause analysis, and solution design acceleration.Drive r
• Design, build, and improve software systems that support the goals of the Software Engineer - Java Full Stack & AI Assisted Engineering function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.
• Support release readiness by validating edge cases, dependencies, and rollback considerations.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.