Senior Software Engineer - CD
HarnessBengaluru, Karnataka, IndiaPosted 30 March 2026
Job Description
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle.
Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.
Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency.
With a global team across 14 offices and 25 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster.
Position Summary
This is an amazing opportunity to be an engineer in a high-growth, high-potential startup. In this role, you will be part of the Continuous Delivery 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
About You
A desire to build products that solve complex technical problems for end users
3-6 years experience developing highly scalable, distributed applications, products and services in Java or similar languages
Experience with AWS/Azure/GCP is a plus.
Deep understanding of how distributed resilient software is built and deployed
Solid foundation in data structures, algorithms and software design with strong analytical and debugging skills
Comfort in working in short, agile, iterative development cycles
Entrepreneurial spirit, priding yourself on getting things done with a high level of quality
Strong desire to work in an unstructured, fast moving startup environment
B Tech degree in CS or equivalent
Work Location
This role will be out of our Bangalore, India office.
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
Quarterly Harness TGIF-Off / 4 days
Paid Time Off and Parental Leave
Monthly, quarterly, and annual social and team building events
Monthly internet reimbursement
Harness in the news:
Accelerating Our Mission to Bring AI to Everything After Code
Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation
How Harness runs 16 “startup ... (truncated, view full listing at source)
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