Staff Engineer

Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day. Staff (Cloud Backend) Engineer As part of our Connectivity Services team within Product Engineering, you will play a critical role in architecting and building highly scalable, high-performance backend systems that power our connectivity services products. This is a Staff, Individual Contributor role based in the US (East Coast/Midwest preferred) and is a full-stack backend engineering role spanning microservices, APIs, real-time and batch data pipelines, and distributed cloud architecture & development. Responsibilities Architecture & Distributed Systems: Architect and build large-scale cloud-distributed systems including microservices, streaming and batch data pipelines, and databases, operating at scale (tens of millions of locations, not small-scale systems). API Development: Design, implement, and maintain RESTful and gRPC APIs powering internal and external applications. Cloud Microservices: Architect and deploy scalable microservices on AWS and GCP using Kubernetes and modern DevOps practices. Data Pipelines: Build both real-time/streaming and offline/batch data pipelines, ensuring data accuracy, performance, and observability. Build Machine Learning pipelines to produce actionable insights that can feed into algorithms and Agentic software. Legacy + New Architecture: Support and maintain the existing production stack while contributing to and helping shape the new cloud architecture. Technical Leadership: Technically lead and mentor a small team, including guiding junior engineers on architecture and implementation. Collaboration: Partner with cross-functional squad members and peer staff/senior engineers to deliver features end-to-end, from concept to production. System Reliability: Optimize services for scalability, resilience, and high availability. Engineering Excellence: Contribute to architecture discussions, enforce coding standards, and drive best practices in CI/CD, testing, and monitoring. Security: Embed security and compliance into backend systems and data workflows. Qualifications 5–8 years of professional software engineering experience. Proven, hands-on experience building and operating large-scale cloud-distributed systems Strong proficiency in Go and Python . Demonstrated experience technically leading a small team and mentoring junior engineers on architecture and implementation. Strong communication skills Proven experience with distributed systems, microservices, and event-driven architectures. Fundamental understanding of computer networking (including Wi-Fi), operating systems, and databases. Hands-on expertise in AWS (primary cloud) and container orchestration (Kubernetes, Docker); GCP experience a…