Senior Platform Engineer

Experience:
6–8 Years

Location:
Pune
- (WFO) Employment Type: Full-Time

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. You will play a key role in designing, building, and scaling the infrastructure and tooling that powers our data platform. We're open to candidates from either of the following skill backgrounds:
• Option A: Strong in Spark + AWS (Glue, Lambda, Airflow, S3)
• Option B: Strong in AWS (Glue, Lambda, Airflow, S3) + Go

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 of the two tracks below: 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
• Robust working knowledge of AWS, including Glue, Lambda, Airflow, and S3
• Proficiency in Go for building performant backend/platform services Common Requirements (Both Tracks)
• 5–9 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 What We're Looking For Someone who thinks like a systems engineer — comfortable diving deep into performance issues, making sound architectural trade-offs, and building infrastructure that scales reliably. You should be equally comfortable writing code and reasoning about system design. Interested candidates can apply directly or share their resume at [email protected]

📌 Senior Data Platform Engineer (India)
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