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Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsJavaPythonScalaTerraform
About the role
Key responsibilities & impact- Define and own the technical roadmap for AI-ready Data Lakehouse
- Prototype and benchmark emerging trends in the AI ecosystem
- Set the gold standard for code quality and system design
- Design platform-level interfaces for Agentic workflows
- Build the "Context Fabric" for AI agents
- Implement and advocate for emerging standards like MCP
Requirements
What you’ll need- 15+ years in software engineering
- Expert in Java or Scala (distributed systems focus) and Python
- Deep experience building extensible frameworks, high-throughput APIs, and libraries
- Hands-on experience with Multi-Agent Orchestration and Agentic RAG
- Knowledge of Model Context Protocol (MCP)
- Experience with AI-native CI/CD features
- Understanding of automated workflows for human approval
- Expert-level experience with GitOps workflows
- Mastery of Terraform and infrastructure-as-code
- Proficiency in designing modern CI pipelines
- Experience with OpenTelemetry for distributed systems
- Deep proficiency in AWS and Azure Management Consoles
- Proven ability to build cloud-agnostic platform layers
- Experience with cloud-native tools for governance and cost optimization
- A proven track record of
Benefits
Comp & perks- health, dental and vision insurances
- retirement savings plan
- paid time off
- health savings account
- flexible spending accounts
- life insurance
- disability insurance
- tuition reimbursement
- more
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
JavaScalaPythonMulti-Agent OrchestrationAgentic RAGModel Context Protocol (MCP)GitOpsTerraformOpenTelemetryCI/CD