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Staff Platform Engineer

Acceldata· Engineering – R&D (Dev)
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BengaluruFull-timePosted 6mo ago

About the role

Acceldata is reimagining the way companies observe their Data. Staff Platform Engineer will develop internal tools, enhance Linux CLI applications, extend Go-based tools with plugins, and build web applications to integrate these tools with customer APIs and services.

Responsibilities

  • 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 existing internal tools developed in Go by developing various plugins (e.g., plugins that extend functionalities of Telegraf, Filebeat, etc.).
  • Develop web applications that chain the internal tools with the various APIs/services at the customer's end.

Qualifications

  • 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.

Skills

Required:Go programmingGo frameworksRESTful APIsDatabasesLinux
Nice to have:DevOps tooling

Benefits

  • Mentorship & Growth
  • ESOPs
  • Medical and Life Insurance
  • Paid Maternity & Parental Leave
  • Corporate Uber Program
  • Learning & Development Support
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Acceldata

AI-Native Data Management for the Modern Enterprise

Discover Acceldata, the industry’s first agentic data management platform, revolutionizing data observability, governance, optimization, and AI-driven operations. Enhance data reliability, reduce costs, and maximize efficiency across hybrid environments.

Data ObservabilityData ManagementAI-driven OperationsHybrid Environments

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