Staff Software Engineer - Platform

Samsara is a pioneer of the Connected Operations™ Cloud, helping organizations improve their physical operations through IoT data. The Staff Software Engineer will lead technical direction for the Platform team, focusing on building foundational systems that drive Samsara's software products and ensuring scalable innovation across industries.

Responsibilities:

• Drive technology choices, implementing services, and/or establishing architectural patterns that have a broad and lasting impact on Samsara's platform
• Identify opportunities and initiate strategic conversations to influence the direction of platform technology and engineering culture
• Architect, design, and develop software that enables Samsara to operate at scale
• Lead teams in delivering products and capabilities that contribute to Samsara’s products and revenue
• Deliver impact by solving the hardest technical problems and enabling products to reach the market quickly and successfully with high quality
• Keep a platform first approach while collaborating with our infrastructure and product teams to build products, tools and solutions
• Act as a multiplier for the team, elevating the impact and output of every team member
• Contribute to Samsara’s engineering brand by representing Samsara in external-facing forums
• 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

Requirements:

• Bachelor's Degree in Computer Science/Engineering or equivalent practical experience
• 8+ years of experience in software design, development, and algorithm related solutions with at least 2 of those years in an architect or leadership role
• Stellar programming/coding fundamentals
• 4+ year of experience building large scale distributed systems
• 4+ years experience leading cross-organization projects
• Mastery in data modeling and full-stack application architecture at a massive scale
• Programming mastery in Go, Python, JavaScript, TypeScript, C/C++, or other similar languages
• Expertise working on large-scale enterprise software applications
• Demonstrated ability to ship production-quality software in a dynamic environment
• Expert level knowledge of at-scale stream processing decision engines