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 SKILLS Must have 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 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