Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)

Luxoft; India; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Luxoft is seeking a Senior DevOps Engineer with strong AWS, Terraform, and Amazon Bedrock to design, automate, and operate modern cloud-native platforms.

You will work on Kubernetes (EKS), CI/CD, GitOps, and DevSecOps, supporting AI/ML workloads and MLOps, with a focus on security, observability, and cost optimization.

Collaborate with security, data, and development teams to deliver scalable, compliant solutions across enterprise environments.

Qualifications

• 9+ years in DevOps, Platform Engineering or Cloud Infra.
• Hands-on AWS cloud services experience.
• Terraform IaC implementation and operation.
• Kubernetes platforms on AWS, preferably EKS (Karpenter, Flux).
• CI/CD with GitHub Actions, GitLab CI or Azure DevOps.
• Scripting in Python, Bash or PowerShell; Ansible for config management.
• Observability with Prometheus, Grafana, OpenTelemetry or Splunk.
• Security & DevSecOps practices integrated into CI/CD.
• Understanding of MLOps, deployment, monitoring and automation.

Responsibilities

• Design, implement, and maintain scalable cloud-native platforms on AWS.
• Develop and manage infrastructure using Terraform and IaC.
• Build and enhance Kubernetes platforms on AWS EKS.
• Optimize CI/CD pipelines and GitOps practices.
• Support AI/GenAI workloads including Bedrock integrations.
• Automate provisioning, configuration, monitoring, and ops processes.
• Drive cloud cost optimization, performance tuning, and reliability.
• Collaborate with security, data, and development teams to ensure compliance.
• Promote DevSecOps and ML model deployment lifecycle management.

Skills

AWS cloud services

Terraform

Amazon Bedrock

Kubernetes / Amazon EKS

CI/CD

GitHub Actions / GitLab CI / Azure Dev

Ansible

Python / Bash / PowerShell

Observability & monitoring

DevSecOps & security

MLOps

Tools

Terraform

Kubernetes

Prometheus

Grafana

OpenTelemetry

Splunk

Karpenter

Flux

AWS Secrets Manager

Azure Key Vault

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 AWSDevelop 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