Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)

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

Job summary

Luxoft in Hyderabad, India seeks a Senior DevOps Engineer to lead design, automation and operation of cloud-native platforms on AWS, with Terraform IaC and Kubernetes on EKS. You will drive CI/CD, GitOps, and security practices across teams.

The ideal candidate has 9+ years in DevOps, strong AWS, scripting skills, and experience with AI/GenAI workloads, including Bedrock. You will partner with security, data, and development teams to deliver reliable, scalable solutions.

Qualifications

• 9+ years of hands-on DevOps, platform engineering, or cloud infra.
• Strong AWS service expertise and architecture skills.
• Terraform IaC experience and IaC principles.
• Kubernetes (EKS) administration and automation.
• CI/CD implementation with GitHub Actions, GitLab CI, or Azure DevOps.
• Scripting in Python, Bash, or PowerShell.
• Security, DevSecOps, and compliance knowledge.
• Monitoring and logging experience (Prometheus, Grafana).
• Experience with MLOps and AI workload support.

Responsibilities

• Design and maintain scalable AWS-based cloud-native platforms.
• Implement and manage Terraform-based infrastructure.
• Build and optimize Kubernetes platforms on EKS.
• Develop CI/CD pipelines and GitOps workflows.
• Support AI/GenAI workloads including Bedrock integrations.
• Implement observability, monitoring, and cost optimization.
• Collaborate with security, data, and development teams.
• Ensure security controls and compliance in pipelines.

Skills

AWS cloud services

Kubernetes / EKS

CI/CD & GitOps

Python / Bash scripting

Security & DevSecOps

AI/GenAI platforms

Observability tooling

MLOps concepts

Cost optimization

Tools

Terraform

Ansible

GitHub Actions

Kubernetes

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