Jobs → Engineering → Senior AWS DevOps Engineer

About the Role We are looking for an experienced Senior AWS DevOps Engineer with expertise in cloud infrastructure, Kubernetes, DevSecOps, CI/CD automation, and AI agent deployment using Amazon Bedrock AgentCore. Key Responsibilities • Design, implement, and maintain scalable, secure, and cost-optimized AWS cloud infrastructure • Manage Kubernetes clusters (EKS/self-managed) and microservices deployment, scaling, monitoring, and troubleshooting • Build and optimize CI/CD pipelines using Jenkins and Bitbucket Pipelines • Develop and maintain Terraform modules, remote state, workspaces, and infrastructure automation • Implement AWS security services, including IAM, GuardDuty, Security Hub, WAF, KMS, Secrets Manager, AWS Config, and CloudTrail • Integrate DevSecOps tools such as Snyk, Trivy, Checkov, and SonarQube into CI/CD pipelines • Manage AWS RDS databases, including PostgreSQL and Oracle, covering backups, performance tuning, patching, and migrations • Administer Jira and Confluence, including workflows, permissions, configurations, and plugins • Drive incident management, root cause analysis, observability, and SLI/SLO/SLA practices • Design, build, and deploy AI agents using Amazon Bedrock AgentCore, including runtime, memory, tool integration, security, and lifecycle management Requirements • 6+ years of overall experience in DevOps, cloud infrastructure, or a related engineering role • Strong hands-on expertise in AWS services: EC2, ECS, EKS, Lambda, ALB, S3, CloudWatch, Amazon Bedrock, and Bedrock AgentCore • Deep understanding of Kubernetes, Helm, Kustomize, RBAC, network policies, autoscaling, and multi-tenancy • 4+ years of hands-on Terraform experience • Strong experience with Jenkins, Bitbucket, CI/CD pipelines, and Infrastructure-as-Code • Practical knowledge of AWS networking, multi-account architecture, landing zones, and hybrid connectivity • Experience in cloud security, vulnerability scanning, compliance-as-code, container security, and least-privilege access • Experience with microservices, API gateways, service mesh, RDS PostgreSQL/Oracle, and third-party API integrations • Working knowledge of Azure services, including Web Apps and Logic Apps/Workflows • Hands-on experience building and deploying AI agents with Amazon Bedrock and Bedrock AgentCore, including model invocation and guardrails • AWS certifications in Solutions Architecture, DevOps, Machine Learning, or Generative AI • Certified Kubernetes Administrator (CKA) or Terraform certification • Azure networking, AKS, and SQL Managed Instance experience