Senior Platform Engineer - AWS
First seen by Alion on Oct 23, 2026.
About the role :
We are looking for a Senior Platform Engineer to join our data/platform engineering team. This role is ideal for someone who has worked extensively on distributed systems, cloud-native architectures on AWS, and has hands-on experience building and optimizing large-scale data or platform pipelines.
Key Responsibilities :
- Design, build, and maintain scalable, reliable, and high-performance data/platform infrastructure on AWS.
- Architect and optimize distributed data processing pipelines to handle large volumes of data efficiently.
- Own end-to-end orchestration workflows using Airflow, and manage serverless components via AWS Lambda and Glue.
- Work closely with data engineering and product teams to translate business requirements into robust technical solutions.
- Identify performance bottlenecks and drive optimization efforts across compute, storage, and orchestration layers.
- Ensure platform reliability, scalability, and cost-efficiency through sound architectural decisions.
- Contribute to code reviews, technical design discussions, and best practices for distributed systems.
- Troubleshoot and resolve production issues, ensuring high availability of platform services.
- Mentor junior engineers and contribute to raising the technical bar across the team.
Required Skills (Choose one track) :
Option A :
- Strong hands-on experience with Apache Spark (batch/streaming data processing).
- Solid working knowledge of AWS, including Glue, Lambda, Airflow, and S3.
Option B :
- Strong working knowledge of AWS, including Glue, Lambda, Airflow, and S3.
- Proficiency in Go for building performant backend/platform services.
Common Requirements :
- 6 - 8 years of overall engineering experience, with significant exposure to distributed systems.
- Proven experience in performance optimization - profiling, tuning, and scaling systems under load.
- Strong understanding of cloud infrastructure, orchestration, and event-driven architectures.
- Solid debugging and problem-solving skills in production environments.
- Good understanding of data pipeline design, fault tolerance, and system reliability practices.
Good to Have :
- Experience with Infrastructure-as-Code tools (Terraform, CloudFormation).
- Exposure to monitoring/observability tools (CloudWatch, Datadog, Prometheus, etc.).
- Familiarity with CI/CD pipelines for data/platform deployments.
- Prior experience in a high-growth or fast-paced product environment.
Contact :
Deboshree,
Skills
AWS, Apache Spark, PySpark, AWS Glue, AWS Lambda, Golang, Apache Airflow, Performance Tuning, Cloud Infrastructure