Job Summary :

We are seeking a hands-on AWS Cloud & Data Platform Engineer to actively develop and scale a serverless, AWS-based data and BI platform.

The role involves building event-driven data pipelines, API integrations, and cloud-native services using AWS Lambda, contemporary ETL patterns, and strong engineering best practices.

You will work closely with cross-functional teams across application engineering, IT, OT, and DevOps to accelerate the delivery of a production-grade analytics and integration platform.

This is a development-focused role, not a support or reporting position.

Key Responsibilities :

AWS Cloud Engineering :

- Design, develop, and operate serverless solutions using AWS Lambda, API Gateway, S3, EventBridge, SNS/SQS.
- Implement secure networking using VPCs, IAM roles, and security best practices.
- Monitor and optimize solutions using CloudWatch metrics, logs, and alarms.

Data Pipelines & ETL :

- Build and enhance serverless data pipelines using AWS Lambda and Glue.
- Design event-driven and API-based ingestion architectures.
- Perform data modeling and transformations for analytics and BI use cases.

API Development & Integration :

- Design and implement RESTful APIs using API Gateway and Lambda.
- Integrate with internal and external systems using secure API and webhook-based patterns.
- Define and maintain OpenAPI / Swagger specifications.

DevOps & Infrastructure as Code :

- Provision and manage infrastructure using Terraform or AWS CDK.
- Build and maintain CI/CD pipelines using GitHub Actions or AWS CodePipeline.




- Automate deployments and enforce repeatable, reliable delivery processes.

Observability & Dashboarding :

- Develop Grafana dashboards for system, pipeline, and business metrics.
- Implement CloudWatch-based monitoring, alerting, and logging.
- Visualize and analyze time-series data to support operational and BI insights.

Security & Governance :

- Implement IAM modeling, secrets management, encryption, and audit logging.
- Enforce cloud security, governance, and compliance best practices.

Cross-Functional Collaboration :

- Produce clear documentation and architecture diagrams.
- Collaborate with Application Software Engineering, IT, OT, and DevOps teams.
- Participate in design discussions and technical decision-making.

Required Skills & Experience :

- 4 years of overall experience in software engineering, cloud engineering, or data engineering.
- Strong hands-on experience with AWS serverless services (Lambda, API Gateway, EventBridge, S3, SNS/SQS).
- Experience building data pipelines and ETL workflows in cloud-native architectures.
- Proficiency in Python and/or Node.js for backend and Lambda development.
- Experience with Infrastructure-as-Code (Terraform or AWS CDK).
- CI/CD experience with GitHub Actions, CodePipeline, or similar tools.
- Strong understanding of API design, integration patterns, and security.
- Experience with Grafana and CloudWatch for observability and dashboards.
- Experience with Time-series data platforms (InfluxDB or similar).

📌 AWS Cloud & Data Platform Engineer - IAC Terraform (India)
🏢 Vikash Technologies
📍 India