Company
Technology
SeniorSoftwareEngineer–JavaBackend,AI
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer – Java Backend, AI. Skills: Java Backend, AI, AWS, Microservices. Design scalable backend microservices. Develop scalable backend microservices”
Industry & Context.
Problem-solving skills; Analytical thinking; Debugging distributed systems; Root cause analysis
What They're Looking For.
Must Have
5+ years software engineering experience, Expertise in Java, Expertise in backend development, Hands-on experience with Spring Boot, Experience building scalable distributed backend systems, Experience working with microservices, Experience with concurrency, Experience with data structures, Experience with design patterns, Experience with object-oriented programming, Proven ability to debug complex production issues, Proven ability to resolve complex production issues, Experience using AI-assisted development tools, Experience validating AI-generated code
Nice to Have
Experience with real-time systems, Experience with broadcast/media technology, Prompt engineering experience
What You'll Do.
Design scalable backend microservices
Develop scalable backend microservices
Maintain scalable backend microservices
Develop cloud-native solutions
Deploy cloud-native solutions
Take ownership of full SDLC
Investigate production issues
Resolve production issues
Collaborate with cross-functional teams
Apply AI-assisted development tools
Accelerate documentation
Contribute to architecture discussions
Contribute to code reviews
Improve system quality
Improve system scalability
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; QA engineers; Architects
Communication Scope
Excellent communication
Process & Methodology
Requirements analysis, Full software development lifecycle
Full Job Description
## Accountabilities Design, develop, and maintain scalable backend microservices for SaaS and enterprise broadcast platforms, ensuring high performance, reliability, and maintainability. Build and enhance features across large Java-based codebases using Spring Boot and modern backend engineering practices. Develop and deploy cloud-native solutions on AWS, leveraging services such as Lambda, API Gateway, DynamoDB, and SQS. Take ownership of the full software development lifecycle, including requirements analysis, design, implementation, testing, deployment, and production support. Investigate and resolve complex production issues by analyzing logs, debugging distributed systems, and leading post-incident reviews. Collaborate with cross-functional teams including product managers, QA engineers, and architects to define scalable technical solutions. Apply AI-assisted development tools to accelerate coding, debugging, and documentation while validating outputs for correctness and security. Contribute to architecture discussions, code reviews, and engineering best practices to improve system quality and scalability. Requirements: 5+ years of professional software engineering experience, with strong expertise in Java and backend development. Hands-on experience with Spring Boot and building scalable, distributed backend systems. Strong understanding of cloud-native architecture and AWS services such as Lambda, API Gateway, DynamoDB, and SQS. Experience working with microservices, concurrency, data structures, design patterns, and object-oriented programming principles. Proven ability to debug and resolve complex production issues in large-scale distributed systems. Familiarity with CI/CD pipelines and tools such as Git, Jenkins, and AWS CodePipeline. Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude, or similar) and validating AI-generated code for production use. Strong problem-solving skills, analytical thinking, and ability to work in complex
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