Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)

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