Principal DevOps Engineer (IRC290010)

GlobalLogic is seeking a Principal DevOps Engineer to own the cloud architecture, infrastructure automation, security posture, and reliability of a production-grade AI-driven SDLC platform built on AWS. This hands-on technical leadership role involves designing and implementing the production foundation for AI agents and orchestration services integrating Bedrock, enterprise knowledge bases, and agent orchestration.

• Design and own AWS cloud architecture including multi-account setup and prod/non-prod isolation
• Build infrastructure using Terraform with modular, reusable, and environment-aware configurations
• Architect and implement AWS Lambda services, API Gateway, Step Functions, and event-driven patterns
• Design secure Bedrock integrations with private networking, IAM policies, and VPC endpoints
• Architect knowledge base storage solutions using S3, OpenSearch, and vector storage infrastructure
• Design networking topology including VPCs, private subnets, endpoints, and routing
• Implement CI/CD pipelines and containerized services using ECS or EKS
• Establish observability stack with CloudWatch, tracing, and structured logging
• Implement secrets management and define IAM least-privilege architecture
• Define SRE practices, cost governance, and DevSecOps standards
• Support AI engineers in productionizing model services and tool backends

• 8+ years of DevOps or Cloud Engineering experience
• 6+ years of deep AWS architecture experience
• Strong Terraform expertise including modules, state management, and multi-environment configurations
• Deep knowledge of Lambda, API Gateway, Step Functions, S3, IAM, CloudWatch, and VPC networking
• Experience designing secure multi-account AWS environments
• CI/CD pipeline architecture and infrastructure security hardening experience
• Experience deploying distributed production systems
• Experience with ECS or EKS
• Strong understanding of AI/ML production infrastructure and data pipelines
• Experience with RAG system infrastructure requirements
• Experience integrating AWS Bedrock or other enterprise LLM services
• Strong cost optimization mindset and 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, or enterprise compliance background
• Experience in regulated industries