1. Design, build and maintain IaC (Terraform/CDK) for all AWS resources across dev and prod.

2. Own the GitHub Actions pipeline: automated tests, container build, security scans, blue-green deploys.

3. Containerise and orchestrate Python (Crew AI, Pydantic, FastAPI) and React front-end services on EKS or ECS; implement zero-downtime rollouts.

4. Implement and refine monitoring, alerting and on-call playbooks; define SLIs/SLOs for LLM latency, vector-DB read/write, email notification success rates.

5. Automate backup, restore and disaster-recovery drills for MongoDB and Weaviate; align with RPO/RTO targets in the DRP.

6. Embed DevSecOps: vulnerability scanning, secrets rotation, IAM least-privilege, WAF rules, pipeline policy checks.

7. Optimise AWS spend; build weekly cost reports and enforce budgets.

8. Champion GitOps culture—every infra change via pull request, peer-reviewed and tracked.

9. Mentor developers on container best practices and cloud debugging; collaborate with front-end, Python and AWS specialists.

10. Lead incident response and root-cause analysis; document post-mortems and preventive actions.

Requirements

• 4+ years in DevOps / Cloud Reliability Engineering, with 2+ years hands-on AWS.

• Proven track record of Terraform/CDK, GitHub Actions (or similar), Docker and Kubernetes/ECS.

• Solid scripting in Python/Bash; experience automating backups and disaster-recovery tests.

• Deep understanding of observability stacks (CloudWatch, Prometheus, Grafana) and SRE principles.

• Security-first mindset: DevSecOps tooling, network segmentation, secrets management.

• Comfortable explaining trade-offs between serverless, container and VM architectures.

Nice to Have

• Experience with vector databases (Weaviate, Milvus) and LLMOps pipelines.

• Familiarity with Crew AI, LangChain, or similar agent frameworks.

• AWS DevOps Engineer – Professional or equivalent certification.

• Exposure to FinOps practices.

• Prior work in marketing/analytics SaaS products.