Staff Software Engineer

October 27

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Samsara

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Enterprise • Transport • Security

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

1001 - 5000 employees

Founded 2015

🏢 Enterprise

🚗 Transport

🔐 Security

💰 Seed Round on 2014-08

📋 Description

• Architect the end-to-end data integration strategy, evolving our high-throughput Eventing platform (Kafka) into a comprehensive data pipeline • Drive the strategy and architecture for our serverless compute (Lambda) capabilities, enabling developers to run complex logic • Establish and champion the technical vision and architectural governance for our external API framework, ensuring consistency, scalability, and a world-class developer experience across all of Samsara's product lines. • Act as a technical leader across the organization, mentoring senior engineers, leading design reviews for complex systems, and aligning stakeholders toward a unified technical direction. • Partner with senior leadership (Product, Engineering) and our largest enterprise customers to define and execute a multi-year technical vision for Samsara's developer and data platform. • 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

• Deep, systems-level expertise in designing, building, and operating high-throughput, large-scale data streaming systems (e.g., Kafka). • Proven experience in architecting and implementing AI-first data strategies, with a strong understanding of how event streams (Kafka) integrate with data lakes and data warehouses in a modern LakeHouse architecture. • Demonstrable experience with serverless compute architectures (e.g., AWS Lambda) and their associated design patterns and trade-offs. • Extensive experience in designing, building, and providing governance for large-scale, public-facing APIs (GraphQL preferred). • A track record of leading complex, multi-team, and multi-quarter technical initiatives from inception to delivery.

🏖️ Benefits

• Full time employees receive a competitive total compensation package along with employee-led remote and flexible working • Health benefits • Much, much more