Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015

Description

  • Design, build, and operate high-scale data ingestion and replication systems from production data stores into the data lakehouse.
  • Build and maintain reliable, scalable data platform infrastructure capable of handling petabytes of data.
  • Improve the reliability, observability, scalability, security, and developer experience of the Spark and Databricks-based processing platform.
  • Develop internal libraries, APIs, frameworks, and tooling in Go, Python, or similar languages to help teams move, process, discover, and access data.
  • Work on lakehouse technologies, including Delta Lake on S3, data catalogs, metadata services, orchestration systems, and platform automation.
  • Collaborate with infrastructure, product engineering, data science, analytics, security, and data engineering teams to deliver durable solutions.
  • Help shape the long-term data infrastructure roadmap, including support for AI, privacy, security, global scale, and customer-facing data products.
  • Champion Samsara’s cultural principles while working across teams and offices.

Requirements

  • 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 S3, RDS, DynamoDB, SQS, Kinesis, Lambda, or similar services.
  • Experience designing 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 software engineers, data scientists, analysts, security teams, and product stakeholders.
  • Experience with Databricks, Delta Lake, or similar lakehouse technologies such as Iceberg or Hudi, preferred.
  • Experience building data replication or ingestion systems from OLTP data stores into a data lake or lakehouse, preferred.
  • Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation, preferred.
  • Familiarity with data catalogs, metadata systems, and data discovery tools such as Unity Catalog, Hive Metastore, DataHub, or Amundsen, preferred.
  • Experience with orchestration systems such as Airflow, Dagster, or Prefect, preferred.
  • Experience with streaming data, event-driven architectures, or systems that handle late-arriving or mutable data, preferred.
  • Familiarity with containerization or orchestration technologies such as Docker, Kubernetes, ECS, or Fargate, preferred.
  • Experience building internal platforms, libraries, or developer tooling used by other engineering teams, preferred.
  • Remote position open to candidates residing in Canada; relocation assistance is not provided.

Benefits

  • Annual base salary of CAD $126,225 to $163,350.
  • Eligible for an initial RSU grant with no vesting cliff and ongoing refresh opportunities tied to performance.
  • Above-market total compensation through base salary, performance-based bonus/variable pay, and equity for eligible roles.
  • Flexible, employee-led remote work model.
  • Comprehensive health plans.
  • Parental leave plans.
  • Professional development stipend.
  • Opportunity to earn above-market compensation for top performance.

Interested in this position?

Apply directly on the company website

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