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.

Role Description

As a Staff Software Engineer, you will be a key member of an engineering team responsible for the full lifecycle of Plume’s high-scale cloud platform. You will work across the full cloud stack, from the API and microservice layer, through compute and orchestration, to the data streaming, pipelines, and storage systems underneath, and the networking that connects them across regions. You will help keep a globally distributed architecture reliable at scale.

This role is critical in supporting our Tier 1 customers (Charter, Bell, LGI, Jio, J:COM) and ensuring the stability of environments managing Wi-Fi & Security for over 65 million homes and half a billion devices.

Responsibilities

Full-Stack Backend Development: Design, develop, and maintain scalable microservices using Node.js (NestJS) and Scala (Akka), with a forward-looking transition toward Rust and Go.
Architectural Refactoring: Lead the transition of legacy monolithic services into discrete microservices, ensuring better maintainability at scalability at Tier 1 scale.
Database Management: Architect and manage data persistence layers across both SQL (Postgres) and NoSQL (Mongo/DocumentDB), utilizing Redis for high-performance caching and Kafka for scalable event streaming where applicable.
System Optimization: Improve the performance, efficiency, and cost of our platform at massive scale, tackling challenges such as messaging and connectivity performance, cross-region latency, and compute and memory utilization.
Resilient Design: Build services that are "self-healing," capable of handling dependency failures without cascading system-wide outages.
Zero-Downtime Deployments: Implement and refine deployment strategies (Blue/Green, Canary) and infrastructure-as-code to ensure that code changes, schema migrations, and architectural refactors never interrupt the customer experience.
Tier 1 Support & Reliability: Provide third-line support for production environments, including diagnosing release issues, delivering critical fixes, and resolving customer-specific anomalies.
Operational Excellence: Participate in a compensated, opt-in on-call rotation to ensure 24/7 coverage across our global US, EU and APAC support teams.

Qualifications

Technical Core

Backend Engineering: Proven experience in distributed systems and backend architecture.
Languages/Frameworks: Strong experience with Scala or Java (Akka is a plus)
TypeScript/Node.js is desired (Loopback 3 or NestJS is a plus)
At least basic knowledge of Rust and Go
Data Systems: Deep understanding of Kafka, Postgres and MongoDB/DocumentDB; ability to select the appropriate database (relational VS NoSQL) based on specific use cases.
DevOps & Scale: Familiarity with AWS (including SageMaker, Data Pipelines) and GCP. Experience managing systems at a scale of millions of concurrent connections is a major plus.