Startup Careers

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Senior Platform Infrastructure Engineer at Xevo
Bellevue, WA, US

Start your engines. 

Do you dream about artificial intelligence and machine learning?  Would you like to be a part of the team that is revolutionizing the automotive and cruise industries? 

Here at Xevo, we’re building the infotainment software of the future, changing car trips and cruises into truly personalized experiences. 

We’re going to the future – you in?  

We are driven to enable exceptional experiences for people on all of their journeys.  Regardless of where the trip begins or ends, our job is to make it the best journey yet.  Utilizing data science, machine learning, artificial intelligence, and user feedback, we design user experiences that are smart, safe, personal, and memorable.

 Xevo is on the leading edge of the biggest revolution in infotainment technology in the last 50 years.  We already provide software platforms for the biggest car manufacturers and cruise companies in the world – and we’re just getting started.  Here’s your chance to be part of the team that’s changing the world.

 Xevo. We’re kind of a big deal.

Work like you mean it

You may have read about (or even worked with) SRE teams that do primarily product support or production operations but that's not us; we're not your father's server janitors. 

Instead, we're designing and building Xevo's next-generation technical infrastructure and, along the way, will be standardizing and optimizing our internal platforms across all products and environments. 

Our SRE team is:

  • Diving deep into Docker and Kubernetes for a smoother service lifecycle 
  • Developing infrastructure middleware that makes service telemetry a no-brainer 
  • Automating absolutely everything (rollouts, rollbacks, scaling, you name it) using industry standard tools (Ansible, Terraform, Prometheus, etc...) and, when that doesn't cut it, we're writing our own. 
  • Redefining success at every level then measuring it everywhere we can -- for feedback into our automation loop. 

And the beauty of it is, we're still charting our future. If you've always wanted to get in on the ground floor of designing and building the next great infrastructure platform, then this team is for you!

This senior engineering role is a charter member of a quickly growing team. This is a hands on role - but you will also make major design contributions to our future infrastructure. We're looking for someone who understands computer systems inside and out, knows a server from a service, and prefers to solve problems by writing elegant, reusable and maintainable code.

You don't need to be a computer scientist -- just smart, energetic and ready to change the world!

 Your mission (should you choose to accept it.)

  • Partner with one or more software engineering teams providing insight into systems and service reliability best practices. 
  • Collaborate with software engineering team(s) to define proper service level objects then employ requisite monitoring, alerting and analysis to ensure goals are continually met. 
  • Contribute to software engineering projects in pursuit of SRE goals. 
  • Identify areas for systems and infrastructure improvements, research possible solutions, author and defend design proposals and implement approved designs in a timely manner. 
  • Repeatedly automate away your current job, over and over again.

So, do you have what it takes?

  • BS in a technical discipline or commensurate experience
  • 3-5+ years’ experience managing cloud infrastructure at scale (AWS preferred)
  • Expert level understanding of Linux/UNIX and TCP/IP fundamentals
  • Professional software engineering experience in several languages (Go, Python, C++, Java or Javascript -- Go and Python preferred)
  • A security-first mindset
  • Superlative written and verbal communication skills

Bonus if you have some of these.

  • Deep familiarity with both the theory and practice of successful, global-scale, site reliability engineering, e.g. Service Level Indicators / Objectives, Error Budgets, Blameless Postmortems, Redundantly redundant redundancy
  • Demonstrable proficiency with time-series-based service monitoring and associated data analysis. (Prometheus, DataDog, Borgmon, etc...)
  • Recent successful implementation of containerized microservices using Docker, Kubernetes or similar
  • An affinity towards gRPC and Protocol Buffers
  • A predilection for declarative systems management