Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)

Working Places: Hyderabad / Gurugram / Noida

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 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

Languages:

English: B2 Upper Intermediate