AWS DevOps Engineer

Job Title: AWS DevOps Engineer – Terraform / GitLab / Kubernetes / AWS Work Location: Plano, TX Work Mode: Onsite Duration of contract (months): 12+ Months (Long-term Contract) Minimum IT Experience Required (In Years): 10+ Years Relevant Experience Required (In Years): 6+ Years in AWS DevOps, IaC, CI/CD, and Kubernetes Interview (Mode & Type): Virtual / Video Interview Location Constraint: Relocation Allowed Key Responsibilities: • Design, implement, and maintain AWS cloud infrastructure for production and non-production environments. • Develop Infrastructure as Code (IaC) using Terraform to automate cloud resource provisioning and management. • Build and optimize CI/CD pipelines using GitLab CI and Argo CD for microservices deployments. • Manage and maintain Kubernetes clusters (EKS) including debugging, scaling, and performance optimization. • Collaborate with cybersecurity teams to ensure compliance with cloud and network security standards. • Troubleshoot complex issues across infrastructure, application, and networking layers. • Deploy and monitor production systems, ensuring high availability, performance, and reliability. • Partner with developers and cloud architects to define scalable DevOps strategies and enforce automation standards. • Use Python, Bash, or Go scripts to automate build, deployment, and monitoring processes. • Manage and optimize AWS resources (IAM, VPC, EKS, CloudFront, API Gateway, Lambda, RDS). • Set up and maintain observability tools (DataDog, Splunk, Grafana) to monitor application and infrastructure health. • Participate in Agile/Scrum ceremonies, contributing to planning, sprint reviews, and retrospectives. Preferred Skills: • Strong hands-on experience with AWS Cloud Services including EC2, EKS, S3, SNS, SQS, Lambda, RDS, Route 53, CloudFront, and API Gateway. • Expertise in Terraform (IaC) – required; knowledge of CloudFormation is a plus. • Experience with CI/CD tools such as GitLab CI, Argo CD, Jenkins, or Azure DevOps. • Solid understanding of microservices architecture and deployment automation using Kubernetes / Helm. • Familiarity with security automation tools and practices such as SAST, DAST, Xray, and Prisma Cloud. • Experience in monitoring and observability platforms – DataDog, Splunk, AppDynamics, ELK Stack, or Grafana. • Knowledge of Secrets Management tools (HCP Vault, AWS Secrets Manager). • Strong scripting ability in Python, Bash, or Go. • Understanding of networking and cloud security concepts (VPC Peering, Transit Gateway, Istio, Traefik, Nginx). • Excellent problem-solving skills, communication, and teamwork abilities.