As a member of our growing engineering team, you will be responsible for developing and maintaining Telegraf, an open source tool for collecting and storing events and metrics. This role will be primarily developing and reviewing Go code, using and debugging assorted systems to collect data from, and interacting with the open source community.
We are looking for candidates who value continually refining their skills in coding and building tools that benefit the open source development community. You'll need to be open to experimenting, which means that sometimes you might fail. (That's okay.) Along with that, you'll need the persistence to keep going and try again. You'll also be working closely with your team, so you'll need to be empathic, supportive, and excited to teach as well as learn.
This role is remote, with USA, UK, and Western European time zone residents preferred.
What you'll be doing:
- Working with the Open Source community to improve Telegraf
- Effectively troubleshooting issues and addressing bugs
- Communicating in writing and developing publically with the Telegraf/InfluxDB community
Your skills and experience:
- 3+ years working on system level, networking, and backend code
- While development can be done on any platform, comfortable debugging in a Linux command line environment
- Familiarity with some of the existing Telegraf integrations
- Experience in unit and integration testing
- Extensive experience with Git
Bonus:
- Professional experience with Go
- Have worked or contributed to Telegraf or other Open Source projects
*We are unable to sponsor visas at this time (new or transfers) in any location*
Some of these roles that are posted in different locations denote that they’re open in general to remote candidates within the areas that we support. From a remote perspective, we currently support Canada, the UK, Germany, Italy and the US.
Interview Process All our interviews are done remotely. Often the first interview is by phone or video and all subsequent interviews via video on Zoom. In order to ensure each candidate we interview is able to participate, please let us know if you do not have the ability to use a phone and/or laptop.
InfluxData is the creator of InfluxDB, the leading open source time series database. We are a Series D-funded startup, backed by Sapphire Ventures, Norwest Venture Partners, Mayfield Fund, Trinity Ventures, and Battery Ventures, and a Y Combinator success story.
InfluxData’s workforce is distributed throughout the U.S. and across Europe. The company was recently named one of the 50 Best Workplaces for Innovators by Fast Company.
Our technology is purpose-built to handle the massive volumes of time-stamped data produced by IoT devices, applications, networks, containers and computers. We are on a mission to help developers and organizations, such as Cisco, IBM, PayPal, and Tesla, store and analyze real-time data, empowering them to build transformative monitoring, analytics, and IoT applications quicker and to scale.
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:
- We value each other
- We get stuff done
- We believe humility drives learning
- We embrace failure
- We are committed to open source
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 or veteran status.
InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place.
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What We Do
InfluxData is the creator of InfluxDB, the open source time series database. Our technology is purpose-built to handle the massive volumes of time-stamped data produced by IoT devices, applications, networks, containers and computers.
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