Cloud & Data Platform Engineer
First seen by Alion on Aug 5, 2026.
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
Skills
AWS, Python, Cloud, ETL, Data Pipeline, AWS Lambda, Data Management, Data Architect, Terraform