Senior DevOps + MLOps Engineer

Luxoft; Hyderabad; On-site; INR 4,200,000 - 6,400,000; Full time

Job summary

Luxoft in Hyderabad seeks a Senior DevOps/Platform Engineer to evolve and operate our core cloud platform and enable Enterprise-grade agentic AI capabilities. You will focus on platform stability, scalability, and developer enablement while integrating AI-driven SDLC workflows.

The role requires deep AWS expertise, Terraform automation, and hands-on experience with containerized platforms (Docker/Kubernetes) and security best practices.

Qualifications

• 8+ years in DevOps/Platform/SRE roles.
• Deep AWS expertise including EC2, EKS/ECS, S3, IAM, RDS/DynamoDB, CloudWatch, Lambda.
• Hands-on Terraform for modular architectures and multi-account setups.
• Experience deploying Enterprise-grade agentic AI infra with security and governance.

Responsibilities

• Design, build, and operate a shared AWS cloud platform for traditional and agentic AI workloads.
• Own and evolve IaC using Terraform across environments.
• Extend infra to support agentic AI systems with secure access, scalability, and governance.
• Develop platform abstractions, templates, and tooling for safe consumption of agentic capabilities.
• Maintain CI/CD pipelines for traditional apps and AI-driven components.
• Implement platform observability (metrics, logs, traces) across services.

Skills

AWS expertise

Terraform

Kubernetes

IaC

Observability

CI/CD

Linux/Networking

Security fundamentals

Tools

Terraform

Docker

Kubernetes

Job description

Project description

We are seeking a Senior DevOps / 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 agentso Secure access to data, services, and APIso 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 DevOps, 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, CloudWatch, Lambda
• Strong production experience with Terraform, including:o Designing modular Terraform architectureso 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 boundarieso 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 workflowso 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, DevOps Engineer). Experience operating platforms at enterprise scale or in regulated environments.