PlumeDesign

Senior Software Engineer - Cloud Platform

Denver, CO
USD 131k - 155k
Java Scala Node.js Rust AWS Machine Learning Microservices Kubernetes GCP Streaming Spark
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Description

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 48 million locations globally and have managed over 2.5 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 Communications Service Providers (CSPs) 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.

Plume’s WiFi Algorithms & Optimizations team is looking for bright and ambitious Senior Software Engineers to continue delivering industry-leading innovation at a rapid pace. Due to the massive scale requirements of our platform, you will be solving challenging problems on a daily basis using cutting edge technologies and advanced architectural patterns involving distributed systems, reactive streaming, and stateful services. This is a high impact role with immense growth opportunities and will truly put your software engineering skills to the test.

The Opportunity:

Plume is building its WiFi Systems and Algorithms team to take its Adaptive WiFi capabilities to its next phase of evolution. We have an exciting roadmap with WiFi 6E and WiFi 7 products getting rolled out in the market and this brings a lot of opportunities to innovate and develop algorithms to use and manage these additional capabilities of WiFi networks from the Cloud, to deliver best in class WiFi performance. We also have to continuously monitor and improve on the existing algorithms that have been deployed and delivering value to the customers. At the end of the day, we derive happiness from giving an optimal WLAN experience to our customers. 

Be the member of a team that will define and architect Plume’s solution to monitor, control, and optimize WiFi Mesh networks. Be part of the exciting growth of a “unicorn” start-up company!

What you will do:

  • Design & implement optimal algorithms as part of a micro service running in the cloud to Optimize, Configure, Monitor, Adapt the WiFi Mesh network.
  • Understand challenges in implementing micro services that need to scale to multiple tens of millions of users
  • Implement the architecture into real time and offline algorithms, including machine learning and formal optimization
  • Participate in all stages of the software design lifecycle working in multi-disciplinary teams spanning cloud, embedded, front-end web/mobile, data, and product
  • Write clean, maintainable code, and perform peer code-reviews
  • Solve challenging scale, integration, and architectural problems
  • Deploy, operate, and troubleshoot applications in a Kubernetes ecosystem
  • Perform rotating on-call duties as part of production support

Who you are:

  • Education Requirements: BS/MS/PhD in Computer Science, Electrical Engineering or related technical field
  • 5+ years of industry experience in writing production code in multiple areas of a product
  • High proficiency in writing idiomatic code, preferably in Java, Scala, Node.Js, or Rust
  • Strong understanding of cloud-native architectures on AWS or GCP
  • Strong understanding of algorithms, data structures, object-oriented programming and distributed systems
  • Fundamental understanding of computer networking, operating systems, and databases
  • Basic understanding of WiFi and Experience working on WiFi access points is a plus
  • Strong analytical and problem-solving skills
  • Strong oral and written communication skills
  • Experience with Spark, Akka, or NestJS is a plus

Total Compensation package would include: anticipated salary range of $131,000.00 - $155,000.00 + bonus + equity + benefits.  Benefits include: a 401k plan and a company match, basic life insurance plus unparalleled health, dental, vision and other benefits and perks.

Please see here for more details.

An employee’s base salary and its position within the range may depend on a number of factors including job related knowledge, education, skills, experience and other business related considerations. Published ranges are provided in good faith at the time of posting.

This is a HYBRID role and requires someone to come into our Denver, CO office 3 times a week.

About Plume

As the creator of the only open, hardware-independent, cloud-controlled experience platform for CSPs and their subscribers, Plume partners with over 350 CSP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM. 

Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows CSPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.  

Backed by investors such as Insight Partners and SoftBank Vision Fund 2, Plume is now valued at $2.6B, having added over $500M in funding in 2021 alone.

Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

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