AWS DevOps Engineer - Terraform Python, Docker, Kubernetes, CICD, Cloud Security and IAM

Job Description

Role Description Cloud Migration & Architecture: Architect, automate, and lead the migration of production workloads from GCP to AWS. Analyze existing GCP infrastructure and design equivalent or improved AWS architectures. Infrastructure as Code (IaC): Develop and manage cloud infrastructure using Terraform, enabling repeatable and auditable deployments. Maintain version-controlled infrastructure repositories and implement infrastructure change automation. CI/CD & Automation: Build and optimize CI/CD pipelines for application and infrastructure deployment using tools such as GitHub Actions, Jenkins, or GitLab CI/CD. Automate infrastructure provisioning, testing, and deployment processes. Monitoring & Reliability: Implement monitoring, logging, and ing strategies using tools like CloudWatch, Datadog, or Prometheus. Ensure high availability, performance, and reliability of cloud-hosted services. Security & Compliance: Enforce best practices for cloud security, identity and access management (IAM), and compliance. Collaborate with security teams to monitor and mitigate vulnerabilities and risks. Collaboration & Documentation: Work closely with developers, architects, and security teams to streamline migration and post-migration support. Maintain thorough documentation for cloud architecture, migration plans, runbooks, and SOPs. Provide insights and recommendations for post-migration optimization and cost management. Required Skills & Qualifications Experience: 7+ years in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE). Proven hands-on experience with both AWS and GCP, including cloud migration projects. Technical Proficiency: Advanced skills in Terraform for infrastructure automation and state management. Strong scripting abilities using Python. Proficiency in AWS services such as: EC2, S3, IAM, Lambda, RDS, CloudFormation, VPC, CloudWatch Experience with GCP services including Compute Engine, Cloud Storage, GKE, and IAM. Cloud-Native & DevOps Tools: Familiarity with Docker and Kubernetes for containerization and orchestration. Experience with CI/CD tools like GitHub Actions, Jenkins, GitLab CI/CD, or similar. Solid understanding of cloud networking, DNS, load balancing, and firewalls. Soft Skills: Strong analytical and problem-solving abilities. Ability to work effectively in a fast-paced, cross-functional environment. Excellent written and verbal communication skills. Preferred Qualifications Certifications: AWS Certified Solutions Architect ? Associate or Professional Google Cloud Professional Cloud Engineer Bonus Experience: Working knowledge of multi-cloud or hybrid cloud environments. Familiarity with observability platforms like Datadog, Prometheus, ELK Stack, or Grafana. Background in FinTech, SaaS, or other regulated industries is a plus Skills Devops, Aws,Terraform Python , Docker and Kubernetes CICD, CloudWatch / Datadog/ Prometheus, Cloud Security and IAM