Design, implement, test and release e2e workflows for our AI security product
Work across agent platforms (AWS Bedrock, Google AgentSpace, Salesforce AgentForce)
Use AI and agents to secure AI with CUA agents and LLM frameworks
Design and develop secure, scalable multi-tenant software across AWS and Azure
Act as technical expert; influence product direction and engineering practices
Drive continuous improvement in engineering processes and reliability

🎯 Requirements

15+ years of software engineering
Java, Spring Framework, REST and Microservices
Familiar with AI tools (MCP, A2A, Agentic frameworks)
Cloud platforms (AWS/Azure/Google Cloud) and containerization (Docker, Kubernetes)
Data structures, algorithms and design patterns
SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot