Senior DevOps + MLOps Engineer

Luxoft India; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Luxoft India is seeking a Senior DevOps/Platform Engineer to evolve and operate our core cloud platform on AWS. The role focuses on stability, scalability, and developer enablement, balancing traditional services with agentic AI workloads to ensure secure, reliable operations.

You will lead IaC with Terraform, extend the platform for enterprise-grade AI capabilities, and drive CI/CD, observability, and governance across teams.

Qualifications

• 8+ years of experience in DevOps, Platform Engineering, or SRE roles.
• Deep, hands-on AWS expertise (EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda).
• Strong production experience with Terraform and modular architectures, multi-account setups.

Responsibilities

• Design, build, and operate a shared AWS cloud platform for traditional services and agentic AI workloads.
• Own and evolve Infrastructure as Code using Terraform across environments.
• Extend infrastructure to support Enterprise-grade Agentic AI systems, including runtimes, data access, platform guardrails, and cost control.
• Build platform abstractions, templates, and tooling 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 traditional apps 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 with application, AI/ML, and security teams to improve developer experience and platform reliability.
• Act as a technical leader in architecture discussions and operational readiness.

Skills

AWS

Terraform

CI/CD

Linux

Networking

Cloud Security

EKS/Docker/Kubernetes

Agentic AI

Tools

Terraform

Docker

Kubernetes

CloudWatch

Job 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:


• Execution runtimes for autonomous and semi-autonomous agents


• Secure access to data, services, and APIs


• 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:

• 8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles.


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


• Strong production experience with Terraform, including: Designing modular Terraform architectures


• Managing state, environments, and multi-account setups


• Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including:


• Supporting agent execution within established networking, security, and compliance boundaries


• Enabling scalability, observability, and governance for agent behavior


• Hands-on experience supporting agentic SDLC tools and processes, such as:


• AI-assisted coding, testing, and deployment workflows


• 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:

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.