Note: The job is a remote job and is open to candidates in USA. Plume is a technology company that provides an open, hardware-independent service delivery platform for smart homes, small businesses, and enterprises using WiFi, artificial intelligence, and machine learning. The Staff Cloud Backend Engineer will architect and build highly scalable backend systems for connectivity services, including microservices, APIs, distributed cloud architectures, and real-time and batch data pipelines. The role also provides technical leadership, mentors engineers, and drives reliability, security, and engineering best practices.
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
- 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
- GCP experience a plus
Benefits
- Equity
- Benefits include a 401k plan with company match, basic life insurance, and unparalleled health, dental, vision and other benefits and perks.
- 401k plan with company match
- Basic life insurance
- Health benefits
- Dental benefits
- Vision benefits
- Fully remote, globally distributed team
Company Overview