Senior DevOps + MLOps Engineer

Project description

We are seeking a Senior Dev

Ops / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform, while enabling Enterprise-grade Agentic AI capabilities on top of established infrastructure.
This role is focused on platform stability, scalability, and developer enablement, ensuring that traditional services and emerging agentic systems coexist securely and reliably.
You will play a key role in transforming our platform into a foundation that supports AI-augmented and agentic SDLC workflows, without compromising operational excellence.

Responsibilities

• Design, build, and operate a shared AWS cloud platform that supports both traditional services and agentic AI workloads.

• Own and evolve Infrastructure as Code (IaC) using Terraform, ensuring consistency, security, and repeatability across environments.

• Extend existing infrastructure to support Enterprise-grade Agentic AI systems, including:
  o Execution runtimes for autonomous and semi-autonomous agents
  o Secure access to data, services, and APIs
  o Platform-level guardrails for safety, governance, and cost control

• Build platform abstractions, templates, and tooling that enable teams to safely consume agentic capabilities.

• Support and integrate agentic SDLC tools and processes, including AI-assisted development, testing, and release automation.

• Develop and maintain CI/CD pipelines for both traditional applications and AI-driven components.

• Implement platform-level observability (metrics, logs, traces) across services and agent workloads.

• Enforce security and compliance best practices (IAM, secrets management, encryption, least privilege).

• Collaborate closely with application, AI/ML, and security teams to improve developer experience and platform reliability.

• Act as a technical leader in architecture discussions, platform standards, and operational readiness.

SKILLS

Must have

• 8+ years of experience in Dev

Ops, Platform Engineering, or Site Reliability Engineering roles.

• Deep, hands-on AWS expertise, including services such as:
  o EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, Cloud

Watch, Lambda

• Strong production experience with Terraform, including:
  o Designing modular Terraform architectures
  o Managing state, environments, and multi-account setups

• Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including:
  o Supporting agent execution within established networking, security, and compliance boundaries
  o Enabling scalability, observability, and governance for agent behavior

• Hands-on experience supporting agentic SDLC tools and processes, such as:
  o AI-assisted coding, testing, and deployment workflows
  o Agent-based automation within CI/CD and operational processes

• Solid understanding of Linux, networking, and cloud security fundamentals.

• Experience with containerized and Kubernetes-based platforms (Docker, EKS).

• Familiarity with MLOps or AI platform components (model serving, vector databases, feature stores).

Nice to have

• Experience designing internal developer platforms (IDPs).

• Knowledge of policy-as-code and governance frameworks (OPA, SCPs, tagging strategies).

• AWS certifications (Solutions Architect, Dev

Ops Engineer).

• Experience operating platforms at enterprise scale or in regulated environments.