Full timeTechnology

Staff Platform Engineer

AcceldataBengaluru🇮🇳IndiaPosted 9 Oct 2024

Quick overview

SeniorityMid Senior

Employment typeFull Time

Work modeOn Site

LocationBengaluru, India

Posted2 years ago

DockerAWSCOBRAGinGoHadoopRESTKubernetesLinux

Job description

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 Staff 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 Staff 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

- 9-12 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.