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Senior Software Engineer – Java Backend , AI

Evertz
Bengaluru, IND
Full-time
Senior · 5+ years experience
Hybrid
Discovered 1 months ago
JavaSpring BootPythonRustGoC++

Full Job Posting

  • 5+ years of software engineering experience in a strongly typed language; Java preferred (Python, Rust, Go, C++, or C# also considered)
  • Strong experience with Java, Spring Boot, and scalable backend development
  • Proficient in using AI coding tools (e.g., Claude, GitHub Copilot) and validating AI-generated code for correctness, security, and maintainability
  • Expertise in AWS, cloud-native applications, and microservices architecture
  • Hands-on experience with Lambda, API Gateway, DynamoDB, SQS, and serverless technologies
  • Familiarity with prompt engineering and MCP servers
  • Strong knowledge of concurrency, data structures, design patterns, and OOP
  • Experience building distributed systems, real-time processing platforms, or other large-scale backend services
  • Proven skills in production debugging, monitoring, and incident investigation
  • Comfortable contributing to large, complex codebases
  • Java ecosystem: Java frameworks, Gradle, JUnit, Mockito
  • Familiarity with CI/CD tools and workflows such as Jenkins, Git, and CodePipeline
  • Prior experience in broadcast, media, or real-time systems
  • Design and develop backend microservices for the evertz.io SaaS platform
  • Design and deliver new features on the Mediator enterprise product — working across a large, mature Java codebase with full ownership from scoping to production
  • Investigate and resolve complex production issues in Mediator — tracing distributed failures, analysing logs, profiling performance bottlenecks, and leading post-incident investigations
  • Participate in architecture and technical design discussions with product owners, engineering leads, and stakeholders
  • Take features from requirement scoping through to production launch
  • Write high-quality, well-tested, maintainable code
  • Use AI-assisted development (Claude, Copilot) as a daily practice including structured prompting, iterative refinement, and AI-assisted debugging
  • Review, validate, and harden AI-generated code through testing, peer review, edge-case analysis, and verification of correctness, scalability, and thread safety
  • Collaborate with QA on automated log analysis and testing workflows
  • Passionate about solving complex backend engineering challenges
  • Strong analytical, debugging, and problem-solving skills
  • Curious about modern software engineering practices, including AI-assisted development
  • Effective communicator who can collaborate across engineering, product, and QA teams
  • Self-motivated with a strong sense of ownership and accountability
  • Comfortable working in fast-paced, collaborative, and highly technical environments

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