Staff Platform Engineer

About Us 

Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.  

Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.

Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. We’re looking for someone who can:

• Primarily developing/extending Linux command-line (CLI applications for the various product offerings at Acceldata. (Example: tools similar to kubectl, docker-cli and aws-cli). Extending our existing internal tools developed in Go programming language by
• developing various plugins. (Example: plugins that can extend the functionalities of Telegraf, Filebeat etc., )
• Develop web applications that will chain the internal tools with the various APIs/services at the customer's end.

What makes you the right fit for this position?

• 8 years of total experience and at least 3+ years of Go programming experience.
• Hands-on experience in Go programming language paradigms, constructs, and idioms is a must.
• Experience with Golang frameworks such as Cobra, Gin or HashiCorp's Go-Plugin is an added advantage.
• Understanding of Go-specific data structures & algorithms, RESTful web services and work with relational & non-relational databases.
• Ability to write performant, well-documented and unit test-covered code in an easily understandable structure.
• Knowledge of DevOps tools such as Docker/Kubernetes and practices is an advantage.
• Strong passion for Linux and system application development.
• Work independently and proactively to deliver production-ready code with minimal guidance.