Disa Consulting Services
Devops Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Remote
Published on:
14 October 2026
What they need
Job highlights
- 6+ years Terraform/IaC experience, expertise in Amazon Bedrock and GenAI-powered AIOps, advanced Terraform module design, Kubernetes/OpenShift proficiency
- Own infrastructure-as-code strategy on AWS, architect Terraform modules and Bedrock-based AIOps, mentor engineers, standardize Kubernetes/OpenShift practices
Senior Terraform Engineer DevOps / AIOps
Experience: 10+ years overall (DevOps - 7 Years, 6+ years Terraform/IaC at scale; 45+ years applying GenAI to operations)
Employment Type: Full-time
Location: 100 % Remote
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
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)
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