Senior Software Engineer - Full Stack

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 Summery

This is an opportunity to be a fullstack engineer in a high-growth company working with an amazing team that is building the best Chaos Engineering product in the market . In this role, you will be part of the Chaos Engineering product and responsible for architecting, designing, developing, and delivering high-quality software that has a direct impact on the company's product experience.

About The Role

• Design, develop, and maintain critical software in a fast-paced quality conscious environment
• Author software functional specifications and design documents
• Quickly understand complex systems/code and own key pieces of the system, including the delivered quality
• Design and implementation of scalable algorithms
• Diagnose and troubleshoot complex problems in a distributed computing environment
• Perform peer reviews of specifications, designs, and code
• 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 systems are built on top of Docker, Kubenetes, MongoDB, TimescaleDB, GCP - Stackdriver, GCS, Cloud composer, AI Platform