Note: The job is a remote job and is open to candidates in USA. Samsara is the pioneer of the Connected Operations™ Cloud, helping organizations harness IoT data for actionable insights. They are seeking a Senior Software Engineer to join their Data Platform team, responsible for designing and operating scalable infrastructure for data ingestion and processing to support analytics and AI initiatives.
Responsibilities
- Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse
- Build and maintain reliable, scalable, and modern data platform infrastructure capable of handling petabytes of data across Samsara’s analytics, AI, product, and operational use cases
- Improve the reliability, observability, scalability, security, and developer experience of Samsara’s Spark and Databricks-based data processing platform
- Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to help teams across Samsara move, process, discover, and access data safely and efficiently
- Work on foundational data lake and lakehouse technologies, including Delta Lake on S3, data catalogs, metadata services, orchestration systems, and platform automation
- Collaborate closely with infrastructure, product engineering, data science, analytics, security, and data engineering teams to understand platform needs and deliver durable, scalable solutions
- Stay connected to modern data platform technologies and help shape Samsara’s long-term data infrastructure roadmap, including support for AI, privacy, security, global scale, and customer-facing data products
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
Skills
- 4+ years of professional software engineering experience in production environments
- 4+ years of experience 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 infrastructure in AWS, including services such as S3, RDS, DynamoDB, SQS, Kinesis, Lambda, or similar
- Experience designing, building, and operating reliable systems with strong ownership of scalability, observability, security, and operational excellence
- Proficiency in at least one production programming language such as Go, Python, Scala, or Java
- Ability to collaborate effectively with cross-functional partners, including software engineers, data scientists, analysts, security teams, and product stakeholders
- Experience with Databricks, Delta Lake, or similar lakehouse technologies such as Iceberg or Hudi
- Experience building data replication or ingestion systems from OLTP data stores into a data lake or lakehouse
- Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation
- Familiarity with data catalogs, metadata systems, and data discovery tools such as Unity Catalog, Hive Metastore, DataHub, or Amundsen
- Experience with orchestration systems such as Airflow, Dagster, or Prefect
- Experience with streaming data, event-driven architectures, or systems that handle late-arriving or mutable data
- Familiarity with containerization or orchestration technologies such as Docker, Kubernetes, ECS, or Fargate
- Experience building internal platforms, libraries, or developer tooling used by other engineering teams
- Experience contributing to data infrastructure roadmaps, evaluating new technologies, and driving improvements that create leverage for internal and external customers
Benefits
- Initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions
- Performance-based bonus/variable pay
- Equity (for eligible roles)
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health and parental leave plans
- Flexible working model that caters to the diverse needs of our teams
- Offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements
- Reasonable accommodations throughout the recruiting process for qualified persons with disabilities
Company Overview
Samsara is digitizing the world of physical operations. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.samsara.com.