Harness

Staff Software Engineer Platform

India
Kubernetes MongoDB GCP Java Go Python Docker
Description
Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers’ pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace.
 
Harness is led by technologist and entrepreneur Jyoti Bansal, who founded AppDynamics and sold it to Cisco for $3.7B. We’re backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank.

 

Position Summary

This is an amazing opportunity to be an engineer in a high-growth, high-potential startup and to work on redefining the Developer Experience space powered by AI/ ML.  In this role, you will be responsible for architecting, designing, developing, and delivering high-quality software that forms core part of Harness Platform

KEY RESPONSIBILITIES

  • Own end-to-end delivery of complex projects. Write high-quality software that scales, author software functional specifications and design documents, do code review, and drive continuous improvement of quality and performance.
  • Drive technical roadmap for the areas of ownership, identify and address potential problems before they become issues.
  • Diagnose and troubleshoot complex problems in a distributed computing environment
  • Effective analytical and problem solving skills. Dig deeper on tough problems, and drive them till resolution.
  • Be well-versed in the latest technologies and industry trends. Have a deep understanding of the system, architecture and product.
  • Work alongside Site Reliability Engineers and cross-functional teams to diagnose/troubleshoot any production performance-related issues
  • We work in Java, Golang, and Python. Our cloud-native systems are built on top of Docker, Kubernetes, MongoDB, TimescaleDB, GCP - Stackdriver, GCS, Cloud composer, AI Platform

ABOUT YOU

  • A desire to build products that solve complex technical problems for end users
  • 7+ years of experience developing highly scalable, distributed applications, products and services  in Java or Go 
  • Deep understanding of how distributed resilient software, distributed data platforms is built for scale
  • Demonstrable experience in building cloud-native distributed systems 
  • Solid foundation in data structures, algorithms, and software design with strong analytical and debugging skills
  • Prior experience in building data intensive platforms is a plus
  • Comfort in working in short, agile, iterative development cycles
  • Entrepreneurial spirit, priding yourself on getting things done with a high level of quality
  • Be a team player
  • Strong desire to work in an unstructured, fast-moving startup environment
  • B Tech degree in CS or equivalent
 

Work Location

Bangalore

What you will have at Harness

  • Experience building a transformative product
  • End-to-end ownership of your projects
  • Competitive salary
  • Comprehensive healthcare benefit
  • Flexible work schedule
  • Paid Time Off and Parental Leave
  • Monthly, quarterly, and annual social and team building events
  • Monthly internet reimbursement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.

 

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