jazzhr
Senior Software Engineer – Java Backend , AI
Evertz Microsystems Limited
Bengaluru, IND
Full-time
Senior · 5+ years experience
Hybrid
Discovered 3 weeks ago
JavaPythonRustGoC++C#
Free
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JavaPythonRust
Key Skills for This Role
JavaPythonRustGoC++C#
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
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