Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)

Luxoft; Dadri; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Luxoft is seeking a Senior DevOps Engineer to design and operate cloud-native platforms on AWS, with strong Terraform and Kubernetes expertise. You will work across AI/ML workloads, including Bedrock-based solutions, and drive secure, scalable CI/CD and GitOps practices.

The role emphasizes IaC, observability, and collaboration with development, data, and security teams to deliver reliable platforms and cost-efficient cloud operations.

Qualifications

• Minimum 9+ years in DevOps, platform engineering or cloud infrastructure.
• Strong hands-on AWS cloud services experience.
• Terraform IaC design and operation expertise.
• Kubernetes (EKS) administration and scaling experience.
• CI/CD implementation with GitHub Actions, GitLab CI, or Azure DevOps.
• Automation and configuration management with Ansible.
• Scripting in Python, Bash, or PowerShell.
• Observability: Prometheus, Grafana, OpenTelemetry; logging like Splunk.

Responsibilities

• Design, implement, and maintain scalable cloud-native platforms on AWS.
• Manage infrastructure with Terraform and IaC principles.
• Operate Kubernetes platforms on EKS, including Karpenter and Flux.
• Build and optimize CI/CD pipelines and GitOps practices.
• Support AI/ML workloads including Bedrock integrations.
• Automate provisioning, configuration, and operations.
• Implement monitoring, logging and observability across environments.
• Drive cloud cost optimization, performance tuning, and security.
• Collaborate with dev, data, and security teams for secure platforms.
• Promote DevSecOps and ensure security compliance in pipelines.
• Support MLOps, model deployment, monitoring, and retraining.

Skills

DevOps experience

Platform engineering

Cloud security

CI/CD

Communication

Tools

Terraform

Ansible

Kubernetes (EKS)

GitHub Actions

GitLab CI

Azure DevOps

Python

Bash

PowerShell

Prometheus

Grafana

OpenTelemetry

Splunk

AWS

Bedrock

Flux

Karpenter

Job description

Project description

We are looking for a Senior DevOps Engineer with strong expertise in AWS cloud technologies, Terraform, and Amazon Bedrock to support the design, automation, and operation of modern cloud-native platforms. The ideal candidate will bring hands-on experience in platform engineering, Kubernetes, Infrastructure as Code, CI/CD, and DevSecOps, while also being comfortable supporting AI/ML and Generative AI workloads in enterprise environments.

Responsibilities

• Design, implement, and maintain scalable cloud-native platforms on AWSDesign and manage infrastructure using Terraform and Infrastructure as Code principlesBuild and enhance Kubernetes-based platforms running on Amazon EKSImplement and optimize CI/CD pipelines and GitOps practicesSupport AI/ML and Generative AI workloads, including Amazon Bedrock-based solutionsAutomate infrastructure provisioning, configuration management, and operational processesImplement monitoring, logging, and observability solutions across platform environmentsDrive cloud cost optimization, performance tuning, and operational excellenceCollaborate with development, data, and security teams to deliver secure and reliable platformsPromote DevSecOps practices and ensure compliance with security standardsSupport MLOps processes including model deployment, monitoring, retraining, and lifecycle managementTroubleshoot complex infrastructure and platform issues while driving continuous improvements

SKILLS

Must have

• 9+ years of experience in DevOps, Platform Engineering, or Cloud InfrastructureStrong hands-on experience with AWS cloud servicesProven expertise with Infrastructure as Code using TerraformExperience designing and operating cloud-native solutions on AWSHands-on experience with Amazon Bedrock and AI/GenAI platform integrationsStrong knowledge of Kubernetes, preferably Amazon EKS, including Karpenter and FluxExperience with CI/CD implementation using GitHub Actions, GitLab CI, or Azure DevOpsExperience with configuration management tools, preferably AnsibleStrong scripting skills in Python, Bash, and/or PowerShellExperience with observability and monitoring solutions (Prometheus, Grafana, OpenTelemetry, Splunk)Knowledge of secrets and configuration management solutions (AWS Secrets Manager, Azure Key Vault, CyberArk)Understanding of MLOps practices, model deployment, monitoring, and automationStrong understanding of cloud security, DevSecOps, and compliance best practicesExperience integrating security controls and policy enforcement into CI/CD pipelinesExcellent problem-solving and communication skills

Nice to have

AWS certificationsExperience with AIOps implementationsExperience in enterprise-scale Kubernetes environmentsKnowledge of FinOps and cloud cost governanceMulti-cloud exposure (Azure/GCP) is a plus