- Experience: 8+ in cloud infrastructure/DevOps roles
- Role: Contractual
- Strong expertise in AWS and Terraform
- Experience with data platform/data engineering environments
- Understanding of financial services or enterprise data requirements
- Familiarity with GitOps and infrastructure automation best practices
Role Summary
Design, build, and maintain cloud infrastructure and data platform solutions on AWS, enabling scalable data pipelines and analytics workloads for enterprise financial applications.
Key Responsibilities
- Infrastructure as Code (IaC): develop and maintain Terraform modules for AWS infrastructure provisioning
- Manage multi‑environment deployments (dev, QA, SIT, UAT, prod) with environment‑specific configurations
- Implement modular, reusable infrastructure patterns across data domains and subdomains
- Design and deploy serverless architectures using AWS Lambda, API Gateway, and Step Functions
- Configure and manage AWS networking (VPCs, subnets, security groups, VPC endpoints, PrivateLink)
- Implement secrets management using AWS Secrets Manager with cross‑account access patterns
- Deploy and manage AWS Glue for ETL/data processing workloads
- Configure IAM roles, policies, and cross‑account access with least‑privilege principles
- Support data lakehouse architectures (bronze/silver/gold layers)
- Integrate with Apache Airflow (MWAA) for workflow orchestration
- Manage database schema changes using Liquibase for PostgreSQL/Aurora
- Deploy and configure Aurora PostgreSQL clusters with proper access controls
- Build and maintain GitLab CI/CD pipelines for infrastructure deployment
- Develop PowerShell/Bash automation scripts for deployment workflows
- Implement GitOps practices for infrastructure management
- Implement API Gateway resource policies for VPC‑based access control
- Configure cross‑account IAM trust relationships
- Manage encryption at rest and in transit for data workloads
Technical Skills & Category
- Technologies: IaC
- Terraform (advanced), HCL, state management, module development
- Cloud: AWS (Lambda, API Gateway, Glue, S3, IAM, Secrets Manager, VPC, Aurora, RDS, MWAA)
- Databases: PostgreSQL, Aurora, Liquibase, SQL
- Languages: Python, PowerShell, Bash, SQL
- CI/CD: GitLab CI/CD, Git, pipeline automation
- Data: Data lakehouse patterns, ETL/ELT, Airflow/MWAA
Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote