AWS DevOps Engineer

Luxoft; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Luxoft in Hyderabad is seeking a Senior DevOps Engineer to design, automate, and operate modern cloud-native platforms on AWS. You will work with Terraform, Kubernetes (Amazon EKS), and CI/CD pipelines, while supporting AI/GenAI workloads including Bedrock in enterprise environments.

The role requires 9+ years in DevOps/Platform Engineering with strong scripting (Python, Bash, PowerShell) and a deep understanding of cloud security and observability tools.

Qualifications

• 9+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure.
• Strong hands-on experience with AWS cloud services.
• Proven expertise with Infrastructure as Code using Terraform.
• Experience designing and operating cloud-native solutions on AWS.
• Hands-on experience with Amazon Bedrock and AI/GenAI platform integrations.
• Strong knowledge of Kubernetes, preferably Amazon EKS, including Karpenter and Flux.
• Experience with CI/CD implementation using GitHub Actions, GitLab CI, or Azure DevOps.
• Experience with configuration management tools, preferably Ansible.
• Strong scripting skills in Python, Bash, and/or PowerShell.
• Experience 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 automation.
• Strong understanding of cloud security, DevSecOps, and compliance best practices.
• Experience integrating security controls and policy enforcement into CI/CD pipelines.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, implement, and maintain scalable cloud-native platforms on AWS.
• Develop and manage infrastructure using Terraform and Infrastructure as Code principles.
• Build and enhance Kubernetes-based platforms running on Amazon EKS.
• Implement and optimize CI/CD pipelines and GitOps practices.
• Support AI/ML and Generative AI workloads, including Amazon Bedrock-based solutions.
• Automate infrastructure provisioning, configuration management, and operational processes.
• Implement monitoring, logging, and observability solutions across platform environments.
• Drive cloud cost optimization, performance tuning, and operational excellence.
• Collaborate with development, data, and security teams to deliver secure and reliable platforms.
• Promote DevSecOps practices and ensure compliance with security standards.
• Support MLOps processes including model deployment, monitoring, retraining, and lifecycle management.
• Troubleshoot complex infrastructure and platform issues while driving continuous improvements.

Skills

DevOps experience

Platform engineering

Cloud security / DevSecOps

MLOps awareness

Strong communication

Problem solving

Tools

AWS

Terraform

Amazon EKS

GitHub Actions

GitLab CI

Azure DevOps

Ansible

Prometheus

Grafana

OpenTelemetry

Splunk

AWS Secrets Manager

Azure Key Vault

CyberArk

Karpenter

Flux

Python

Bash

PowerShell

Job 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 AWS
• Develop and manage infrastructure using Terraform and Infrastructure as Code principles
• Build and enhance Kubernetes-based platforms running on Amazon EKS
• Implement and optimize CI/CD pipelines and GitOps practices
• Support AI/ML and Generative AI workloads, including Amazon Bedrock-based solutions
• Automate infrastructure provisioning, configuration management, and operational processes
• Implement monitoring, logging, and observability solutions across platform environments
• Drive cloud cost optimization, performance tuning, and operational excellence
• Collaborate with development, data, and security teams to deliver secure and reliable platforms
• Promote DevSecOps practices and ensure compliance with security standards
• Support MLOps processes including model deployment, monitoring, retraining, and lifecycle management
• Troubleshoot complex infrastructure and platform issues while driving continuous improvements

Mandatory Skills Description:

• 9+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure
• Strong hands-on experience with AWS cloud services
• Proven expertise with Infrastructure as Code using Terraform
• Experience designing and operating cloud-native solutions on AWS
• Hands-on experience with Amazon Bedrock and AI/GenAI platform integrations
• Strong knowledge of Kubernetes, preferably Amazon EKS, including Karpenter and Flux
• Experience with CI/CD implementation using GitHub Actions, GitLab CI, or Azure DevOps
• Experience with configuration management tools, preferably Ansible
• Strong scripting skills in Python, Bash, and/or PowerShell
• Experience 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 automation
• Strong understanding of cloud security, DevSecOps, and compliance best practices
• Experience integrating security controls and policy enforcement into CI/CD pipelines
• Excellent problem-solving and communication skills

Nice-to-Have Skills Description:

• AWS certifications
• Experience with AIOps implementations
• Experience in enterprise-scale Kubernetes environments
• Knowledge of FinOps and cloud cost governance
• Multi-cloud exposure (Azure/GCP) is a plus