InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit
You’ll be using your Linux ops and teamwork skills to maintain and extend foundational technologies to provide highly available, distributed services to customers who rely on InfluxData's time series platform where metrics and events are first-class citizens.
You’ll join an awesome team, bringing experience in designing, implementing, and operating large scale, multi-cloud Kubernetes infrastructure driven by GitOps methodology. You understand that great products require great culture - you design and implement with respect and kindness across multiple engineering teams.
We embrace an empathetic, supportive, and communicative environment pulling from one another's strengths and perseverance through failure and the resulting lessons learned.
What You'd Bring To The Table
Bonus if you've had experience
Applications will be accepted on a rolling basis.
Interview Information
Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage.
Our Core Values
Our Employees Are The Heart Of The Company And Only By Having a Core Set Of Beliefs And Values Will We Be Successful. We Hire And Live By These Core Values
Visit our careers page to learn more about working at InfluxData.
InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.
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