The Role
Lead Platform Engineer responsible for developing Linux CLI applications, enhancing Go tools, and building web applications for customer integration. Requires expertise in Go and experience with databases and DevOps tools.
Summary Generated by Built In
Acceldata is reimagining the way companies observe their Data!
Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.
As a Lead Platform Engineer
You'll develop internal tools, create and enhance Linux CLI applications and extend Go-based tools with plugins. You'll also build web applications to integrate these tools with customer APIs and services.
A day in the life of Lead Platform Engineer
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.
You are a great fit for this role if you have
- 6-10 years of total experience.
- Hands-on experience in Go programming language paradigms, constructs and idioms
- Experience with Golang frameworks such as Cobra, Gin or HashiCorp's Go-Plugin.
- Understanding of Go-specific data structures & algorithms, RESTful web services.
- Experience in relational & non-relational databases.
- Knowledge of DevOps tools such as Docker/Kubernetes and practices is an advantage.
- Experience in Linux and system application development.
Bonus Points for
- Proficiency in Big Data Systems or Hadoop components.
We care for our team
· Mentorship & Growth
· ESOPs
· Medical and Life Insurance
· Paid Maternity & Parental Leave
· Corporate Uber Program
· Learning & Development Support
Acceldata for All
We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual.
Why Acceldata?
Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments.
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.
Top Skills
Docker
Go
Kubernetes
Linux
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The Company
What We Do
Founded in 2018, Campbell, CA-based Acceldata has developed the world's first enterprise data observability platform to help enterprises build and operate great data products.
Acceldata's solutions have been embraced by global customers, such as Dun & Bradstreet, Verisk, Oracle, PubMatic, PhonePe (Walmart), and many more.
Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures. Contact us to learn about the benefits of data observability.
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