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terraform python kubernetes databricks go๐ Description
- Design, build, and operate high-scale data ingestion and replication systems into Samsaraโs data lakehouse.
- Build and maintain reliable, scalable data platform infra for petabytes of data across analytics, AI, product, and operations.
- Improve reliability, observability, scalability, security, and developer experience of Spark and Databricks-based data processing platform.
- Develop internal libraries, APIs, and tooling in Go and Python to help teams move, process, discover, and access data safely and efficiently.
- Work on Delta Lake on S3, data catalogs, metadata services, orchestration systems, and platform automation.
- Collaborate with infra, product engineering, data science, analytics, security, and data engineering to deliver durable, scalable solutions.
๐ฏ Requirements
- 4+ years of professional software engineering in production environments.
- 4+ years building or maintaining large-scale production data infrastructure, data platforms, distributed systems, or data lake systems.
- Strong experience with Apache Spark or similar distributed data processing systems.
- Experience operating production infra in AWS, including S3, RDS, DynamoDB, SQS, Kinesis, Lambda, or similar.
- Experience designing, building, and operating reliable systems with ownership of scalability, observability, security, and operational excellence.
- Proficiency in at least one production language such as Go, Python, Scala, or Java.
๐ Benefits
- Flexible remote model with office options.
- Competitive total rewards and equity in eligible roles.
- Comprehensive health and parental leave plans.
- Professional development stipend.
- Work-life balance and inclusive culture.
- Opportunities to impact customers and operations globally.
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