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java sql redis kubernetes microservices📋 Description
- Design, implement, test, and release end-to-end AI security workflows.
- Work across agent platforms (AWS Bedrock, Google AgentSpace, Salesforce AgentForce) using cloud/AI patterns.
- Use AI agents to secure AI with CUA agents, LLMs, and frameworks like ADK, LangChain.
- Design and develop secure, scalable, multi-tenant software across AWS and Azure.
- Act as a technical expert, influencing product direction and engineering best practices.
- Drive continuous improvement in engineering processes, tooling and reliability.
🎯 Requirements
- 7+ years of software engineering experience.
- Java, Spring Framework, REST and Microservices.
- AI tools and agentic frameworks (MCP, A2A, LangChain).
- Security-focused on cloud platforms (AWS/Azure/Google Cloud) and containers (Docker, Kubernetes).
- Data structures, algorithms, and design patterns.
- SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka.
- Agile environments (Scrum/Kanban) and Git-based deployments.
- IDE experience (IntelliJ/Eclipse), JUnit, Maven/Ant.
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