Principal DevOps Engineer (IRC290010)

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.

As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set working alongside highly experienced and talented people.

If this sounds like an exciting opportunity for you, send over your CV!

Requirements

• 8+ years DevOps / Cloud Engineering experience
• 6+ 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