Senior Terraform Engineer — DevOps / AIOps

About the Role We are looking for a Senior Terraform Engineer to equally own two things: (1) infrastructure-as-code strategy across our AWS environment, and (2) GenAI-powered AIOps built on Amazon Bedrock that modernizes monitoring, incident response, and operational efficiency. You will architect our Terraform module ecosystem and our Bedrock-based operational intelligence layer, mentor junior engineers, and standardize practices across Kubernetes/OpenShift-based platforms. Primary Skills: AWS Cloud | Terraform (Advanced) | Amazon Bedrock / GenAI | Kubernetes | OpenShift | AIOps Key Responsibilities Architect, design, and own enterprise-grade Terraform module libraries — reusable, versioned, remote state management, policy-as-code and drift governance Design, provision, and manage core AWS services (EC2, S3, RDS, Lambda, VPC, IAM) per Well-Architected Framework principles, including container orchestration on OpenShift and Kubernetes Provision and manage Amazon Bedrock resources via Terraform — model access, agents, knowledge bases, guardrails, provisioned throughput Design and implement GenAI-powered AIOps workflows using Bedrock models for incident summarization, log/alert correlation, root-cause hypotheses, and ChatOps-style natural-language querying Build automated alert triage, noise reduction, and runbook generation using Bedrock, integrated with CloudWatch/Prometheus/Grafana/ELK Own Bedrock security posture — IAM/model-invocation permissions, guardrails for PII/data privacy, prompt security Build and optimize CI/CD pipelines for infrastructure and GenAI-tooling delivery (GitOps workflows, automated plan/apply gates) Mentor engineers on Terraform, AWS architecture, and GenAI-driven operations; own incident response, runbooks, and cost/governance across AWS accounts Required Skills AWS / Terraform / Platform Proven, senior-level experience with AWS services (EC2, S3, RDS, Lambda, VPC, IAM, etc.) Strong, advanced expertise in Terraform — module design, state management, CI/CD integration, policy-as-code Hands-on experience with OpenShift and deep Kubernetes experience (RBAC, Helm, networking) Strong CI/CD tooling and pipeline design experience (Jenkins, GitLab CI, GitHub Actions, Tekton) GenAI / Bedrock / AIOps Hands-on production experience with Amazon Bedrock — model invocation, agents, knowledge bases (RAG), guardrails, provisioned throughput — provisioned/integrated via Terraform Practical experience building GenAI-driven operational tooling — ChatOps, log/alert summarization, automated runbooks Understanding of LLM cost/latency tradeoffs, prompt security, and guardrail design for operational use cases Ability to integrate Bedrock into observability stacks (CloudWatch, Prometheus/Grafana) for AIOps use cases Cross-cutting Demonstrated ability to lead technical design decisions and review others' IaC and Bedrock-integration code Strong problem-solving skills, attention to detail, and ability to troubleshoot complex distributed systems Excellent communication, collaboration, and mentoring abilities Preferred HashiCorp Certified: Terraform Associate/Professional AWS Certified Solutions Architect – Professional / DevOps Engineer – Professional / AI Practitioner or GenAI-focused cert Experience with other GenAI platforms (OpenAI API, Anthropic Claude API) for comparative context Experience with other cloud platforms (Azure, GCP) Strong scripting skills (Python, Bash) for automation and Bedrock SDK integration Experience with GitOps tools (ArgoCD, Flux)