Job Description:

Immediate Joiners or less than 30 days notice period.

We are seeking a hands-on AWS Cloud & Data Platform Engineer to develop and scale a serverless, AWS-based data and business intelligence platform. The role involves building event-driven data pipelines, API integrations, and cloud-native services using AWS Lambda, modern ETL patterns, and strong engineering practices.

Key Responsibilities:

AWS Cloud Engineering:

- Design, develop, and operate serverless solutions using AWS Lambda, API Gateway, S3, EventBridge, SNS, and SQS.

- Implement secure cloud networking and access controls using VPCs, IAM roles, and AWS security best practices.

- Monitor and optimize cloud solutions using CloudWatch metrics, logs, and alarms.

Data Pipelines & ETL:

- Build and enhance serverless data pipelines using AWS Lambda and AWS Glue.

- Design event-driven and API-based data 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 AWS Lambda.

- Integrate internal and external systems through 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, AWS CodePipeline, or similar tools.

- Automate deployments and enforce repeatable, reliable delivery processes.

Observability & Dashboarding:

- Develop Grafana dashboards for system, data pipeline, and business metrics.

- Implement CloudWatch-based monitoring, alerting, and centralized 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 technical 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:

- 46 years of overall experience in software engineering, cloud engineering, or data engineering.

- Strong hands-on experience with AWS serverless services, including Lambda, API Gateway, EventBridge, S3, SNS, and SQS.

- Experience building cloud-native data pipelines and ETL workflows.

- Proficiency in Python and/or Node.js for backend and Lambda development.

- Hands-on experience with Infrastructure as Code using Terraform or AWS CDK.

- CI/CD experience with GitHub Actions, AWS CodePipeline, or similar tools.

- Strong understanding of API design, system integration patterns, and API security.

- Experience using Grafana and CloudWatch for observability, monitoring, and dashboards.

- Experience with time-series data platforms such as InfluxDB or similar technologies.

Key Technologies:

- AWS Lambda, API Gateway, S3, EventBridge, SNS/SQS, Glue, CloudWatch, VPC, and IAM

- Python and/or Node.js

- Terraform or AWS CDK

- GitHub Actions or AWS CodePipeline

- Grafana and InfluxDB or a similar time-series platform

- REST APIs, webhooks, and OpenAPI/Swagger