Senior DevOps + MLOps Engineer

Luxoft; India; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Luxoft is seeking a Senior DevOps / Platform Engineer with deep AWS expertise to evolve and operate our core cloud platform in India. The role focuses on platform stability, scalability, and developer enablement, ensuring traditional services and agentic AI workloads coexist securely and reliably.

You will design and implement IaC with Terraform, extend infrastructure for enterprise-grade AI capabilities, build CI/CD pipelines, and enforce security and governance.

Qualifications

• 8+ years in DevOps, Platform Engineering, or SRE
• Deep, hands-on AWS expertise across EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda
• Terraform—modular architectures, state management across multi-account setups
• Experience deploying AI infrastructure on existing platforms with scalability and governance

Responsibilities

• Design, build, and operate a shared AWS cloud platform supporting traditional services and AI workloads
• Own and evolve IaC with Terraform ensuring security and repeatability
• Extend infrastructure for Enterprise-grade Agentic AI systems with safe data access and governance
• Develop platform abstractions and tooling to enable teams to use agentic capabilities safely
• Support AI-assisted development, testing, and release automation in SDLC
• Develop and maintain CI/CD pipelines for traditional and AI-driven components
• Implement platform observability (metrics, logs, traces) across services
• Enforce security, IAM, secrets, encryption, least privilege
• Collaborate with application, AI/ML, and security teams to improve reliability
• Act as technical leader in architecture discussions and platform standards

Skills

8+ years DevOps

AWS expertise

Terraform

Agentic AI infra

AI/ML platform basics

Linux networking

Kubernetes platforms

MLOps familiarity

Tools

Terraform

Docker

Kubernetes

CloudWatch

IAM

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.