Senior DevOps Engineer IRC292108 $$$$

We are building a production-grade AI-driven SDLC platform on AWS, integrating Bedrock, enterprise knowledge bases, agent orchestration, and QuickSuite-based UI flows.
We are looking for a Principal DevOps Engineer who will own the cloud architecture, infrastructure automation, security posture, and reliability of the AI platform.
This is a hands-on technical leadership role. You will define and implement the production foundation on which AI agents and orchestration services operate.

Requirements

• 6+ years DevOps / Cloud Engineering experience
• 4+ years deep AWS architecture experience
• Strong Terraform expertise (modules, state management, multi-env)
• Deep knowledge of:

    – Lambda

    – API Gateway

    – Step Functions

    – S3

    – IAM

    – CloudWatch

    – VPC networking

• Experience designing secure multi-account AWS environments
• CI/CD pipeline architecture experience
• Infrastructure security hardening experience
• Experience deploying distributed production systems
• Experience with ECS or EKS
• Strong understanding of:

    – AI/ML production infrastructure

    – Data pipelines

    – RAG system infrastructure requirements

• Experience integrating AWS Bedrock or other enterprise LLM services
• Strong cost optimization mindset
• Excellent architecture documentation skills

Nice to Have

• Experience supporting LLM tool backends or MCP server hosting
• Experience with OpenSearch or vector database infrastructure
• Experience with QuickSuite or enterprise workflow platforms
• FinOps certification or formal cost governance experience
• SOC2 / HIPAA / enterprise compliance background
• Experience in regulated industries

Job responsibilities

• Design and own AWS cloud architecture (multi-account, prod/non-prod isolation)
• Build infrastructure using Terraform (modular, reusable, environment-aware)
• Architect and implement:

    – AWS Lambda services

    – API Gateway

    – Step Functions

    – Event-driven patterns (EventBridge, SQS, SNS)

• Design secure Bedrock integrations (private networking, IAM, VPC endpoints)
• Architect knowledge base storage (S3, OpenSearch, vector storage infra)
• Design networking topology (VPCs, private subnets, endpoints, routing)
• Implement CI/CD pipelines (GitHub Actions, GitLab CI, or similar)
• Implement containerized services (ECS or EKS where required)
• Establish observability stack (CloudWatch, tracing, structured logs)
• Implement secrets management (Secrets Manager, KMS)
• Define IAM least-privilege architecture
• Implement DevSecOps and secure SDLC standards
• Define SRE practices (SLAs, SLOs, monitoring, alerting)
• Implement cost governance and FinOps practices
• Support AI engineers in productionizing model services and tool backends
• Ensure system scalability, reliability, and auditability