Bangalore
34 days ago
AWS DevOps Engineer - Terraform Python, Docker, Kubernetes, CICD, Cloud Security and IAM

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

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