Architect and manage secure, scalable cloud infrastructure on AWS (multi-tenant, multi-environment setup).
Define and maintain Infrastructure as Code (IaC) using Terraform and reusable module design.
Set up and manage CI/CD pipelines for microservices and AI/LLM-based components using GitHub Actions or equivalent.
Automate deployments, enforce security controls, and manage secrets, IAM policies, and runtime compliance.
Implement and tune monitoring, logging, tracing, and alerting (e.g., CloudWatch, Prometheus, Grafana, ELK).
Collaborate with backend and AI engineers to ensure efficient orchestration of compute, containerized workloads, and model services.
Establish DevSecOps best practices, including vulnerability scanning, dependency checks, and least-privilege enforcement.
Optimize performance, scalability, and cost across environments (Dev, QA, Staging, Production).

Requirements

8–10 years of experience in DevOps, cloud infrastructure, or SRE roles.
Expertise in AWS — EC2, ECS/EKS, S3, RDS, CloudWatch, IAM, Secrets Manager, VPC networking, etc.
Strong proficiency with Terraform, Docker, Kubernetes, and GitHub Actions (or similar CI/CD).
Deep understanding of secure cloud architectures (IAM, encryption, least privilege, network segmentation).
Proven experience with observability and incident response pipelines (logging, metrics, tracing).
Familiarity with LLM or AI workloads in production environments is a strong plus.
Experience building in startup or early-stage product environments with an emphasis on automation and scalability.
Excellent documentation, collaboration, and ownership mindset.

Bonus Skills

Experience with multi-region deployments, serverless functions, or event-driven architectures.
Familiarity with container security (Aqua, Trivy, Falco) and supply chain security (Sigstore, OPA).
Understanding of AI/ML pipeline orchestration (SageMaker, Vertex AI, MLflow, or equivalent).

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