Go Programming (Golang)
Platform Engineering Team - where HE/SHE will be a direct impact on the entire engineering org by leading the design, build, and test of critical systems leveraged by all engineers every day. HE/SHE will manage and operate CI/CD systems, Artefact management systems, and common infra automation. HE/SHE will be partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug, and release software quickly.
• 2 to 5 years of total experience and at least 2+ years of Go programming experience.
• Hands-on experience in Go programming language paradigms, constructs, and idioms is a must.
• Experience on Golang frameworks such as https://github.com/spf13/cobra" target="_blank">Cobra, https://github.com/gin-gonic/gin" target="_blank">Gin or https://github.com/hashicorp/go-plugin" target="_blank">HashiCorp's Go-Plugin are 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.
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What you will do:
• Primarily developing/extending Linux command-line (CLI) applications for the various product offerings at Acceldata. (Example: tools similar to kubecli, 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Acceldata
About
Acceldata is the company that built the leading Multidimensional Data Observability Cloud. This cloud was designed to help data-driven organizations achieve agility in innovation, operational excellence, and enhanced returns on data investment. Embedded analytics and artificial intelligence technologies are becoming more reliant on contemporary organizations to fuel their business operations and choices.
The data observability technologies offered by Acceldata improve the performance of embedded artificial intelligence and analytics workloads by providing purpose-built monitoring and analytics. The first Data Observability Cloud is presently being developed by Acceldata for cloud data warehouses and hybrid data lakes. Acceldata makes it easy for businesses to expand their pipelines to meet the requirements of modern business, regardless of whether they are operating in a platform or cloud environment. Data Observability Cloud by Acceldata provides on-demand operational information to support analytics data workloads and embedded artificial intelligence.
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Full Stack Developer - Averlon