Note: The job is a remote job and is open to candidates in USA. Plume provides an open, hardware-independent service delivery platform for smart homes, small businesses, and enterprises using WiFi, AI, and machine learning. The Staff Cloud Backend Engineer will architect and build scalable backend systems for connectivity services, including microservices, APIs, data pipelines, and distributed cloud architectures, while providing technical leadership and mentoring.
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
Skills
- 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 plus
- Experience with real-time streaming (Kafka/Pulsar) and batch data pipeline frameworks (e.g., Spark)
- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra, DynamoDB)
- Solid knowledge of CI/CD pipelines, testing frameworks, and observability tools (Grafana, Prometheus, ELK)
- Comfortable in a fully remote, globally distributed team as this role requires daily overlap with teammates in various geographies
- Strong problem-solving skills and the ability to thrive in an agile, squad-based environment; focused on technical/architectural decision-making rather than business-facing work
- Scala experience (legacy stack)
- Experience with caching layers, distributed storage, and message queues
- Familiarity with AI-powered developer tools such as ChatGPT, Claude, Cursor, GitHub Copilot, or similar to boost productivity
- Contributions to open-source projects or personal projects showcasing backend innovation
Benefits
- Up to 15% bonus
- Equity
- A 401k plan with company match
- Basic life insurance
- Health, dental, vision and other benefits and perks
- Fully remote, globally distributed team
Company Overview