About This Role
Strava is the leading digital community for active people with more than 125 million athletes, in more than 190 countries. The platform offers a holistic view of your active lifestyle, no matter where you live, which sport you love and/or what device you use. Everyone belongs on Strava when they are pursuing an active life.
This role is on the Strava Foundation Team, which exists to provide tools, systems, and support to make Strava reliable, scalable, and performant for our athletes. We build infrastructure and tools to support every engineer developing Strava.
Engineers on the Foundation Team work on a wide variety of projects and technologies; recent projects have included migrating from Mesos to Kubernetes, migrating and upgrading from Cassandra to Scylla, and improving our disaster recovery capabilities.
This is a hybrid role based in our San Francisco or Denver office.
You’re Excited About This Opportunity Because You:
- Are excited to work on and support a platform that supports millions of athletes and activities every day.
- Enjoy developing software that empowers your engineering colleagues, providing them with the tools and platforms to deliver scalable, reliable, and observable products.
- Enjoy working on the full cycle of automated testing, build, deploy, release, and operations across multiple platforms (mobile, frontend, backend, infrastructure).
- Will have a high-leverage impact on product development velocity by empowering all engineering teams to go faster and more optimally.
- Love the thrill of sunsetting legacy software in favor of the latest and greatest industry supported options and championing best practices.
- Are stoked to help shape the future of our Kubernetes ecosystem.
We’re Excited About You Because You:
- Have previously worked in an infrastructure, developer productivity, or operations-focused role, such as DevOps engineer, SRE, developer productivity engineer, or platform engineer.
- We run on Kubernetes, MySQL, Cassandra, ScyllaDB, Redis, S3, and Terraform. You don’t need to be an expert in all of these, but practical production experience with some is highly desired.
- Have a passion for reducing toil, especially when it comes to scaling relational databases.
- Program expertly in at least one language. If you know Scala, Python, or Ruby, that’s a bonus!
- Can improvise and adapt. Rote processes won’t always work here, so bring your bag of tricks, especially when it comes to talking through the strengths and weaknesses of various datastore systems (relational, distributed, in-memory, object stores, document stores).
- Can explain complex technical concepts, like how indexes work and how to approach a schema review. You should also be comfortable navigating a poorly performing query and identifying optimization opportunities.
- Are a strong, clear, and proactive communicator who values sharing knowledge with others. We are a distributed company spread across many time zones, dependent on many forms of communication to collaborate and achieve our goals.
Benefits Extracted with AI
- Inclusive workplace
- Opportunities for growth
- Supportive team environment
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