Senior Software Engineer- Agentic Platform & Integrations (full Stack)

Samsara Samsara · Enterprise · Poland · Remote · Platform

Senior Software Engineer to build foundational capabilities for Samsara's agentic experiences, enabling AI agents to securely access information, reason over operational data, and take action. This role emphasizes backend and distributed systems, high availability, predictable performance, and strong developer ergonomics, with a strong focus on using AI-assisted engineering tools throughout the software development lifecycle.

What you'd actually do

  1. Build foundational capabilities for Samsara’s agentic experiences, enabling AI agents to securely discover data, use tools, integrate with external systems, and execute reliable workflows at enterprise scale.
  2. Design systems for high throughput, availability, observability, security, and maintainability.
  3. Apply AI assistants, including Codex, Claude Code, and Cursor - across design, implementation, testing, debugging, and code review.
  4. Improve frameworks, tooling, and engineering practices that increase the effectiveness of teams across Samsara.
  5. Mentor other engineers and contribute to architectural decisions and technical strategy.

Skills

Required

  • Strong professional software engineering experience building and operating production systems.
  • Enterprise experience with at least one relevant area, such as developer platforms, integration frameworks, event-driven systems, data platforms, or analytical reporting infrastructure.
  • Demonstrated experience operating production software at enterprise scale or high transaction and data volumes.
  • Strong backend engineering skills, including API design, distributed systems, data modeling, reliability, and observability.
  • Experience delivering full-stack functionality and collaborating effectively across frontend and backend boundaries.
  • Expert practical knowledge of AI coding assistants such as Codex, Claude Code, or Cursor.
  • Ability to make sound engineering trade-offs and communicate technical decisions clearly.

Nice to have

  • Designing and operating public-facing REST or GraphQL APIs.
  • High-throughput event-streaming platform.
  • Building extensible integration or application frameworks.
  • Distributed data-fetching, query execution, reporting, or analytical systems.

What the JD emphasized

  • Expert practical knowledge of AI coding assistants such as Codex, Claude Code, or Cursor.
  • Expert user of AI engineering tools: You use AI assistants effectively and responsibly to improve engineering quality, speed, and understanding.

Other signals

  • agentic workflows
  • AI assistants
  • enterprise scale