Jobs
Benefits & Perks
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Parental leave program
•Annual team offsites
Required Skills
Apache Spark
Python
PyTorch
Harness is led by technologist and entrepreneur Jyoti Bansal, founder of App Dynamics (acquired by Cisco for $3.7B). The company has raised ~$240M in Series E venture funding, is valued at $5.5B, and backed by top investors including Goldman Sachs, Menlo Ventures, IVP, Google Ventures, J.P. Morgan, Capital One Ventures, Citi Ventures, Service Now, Splunk Ventures and more. Harness is building the industry’s leading AI-powered software delivery platform, enabling teams worldwide to build, test, and deliver software faster, safer, and more reliably. Writing code is only 30–40% of the engineering lifecycle — the rest involves testing, deployments, security, compliance, and optimization. Harness brings AI and automation to this outer loop, turning complex, time-consuming workflows into streamlined processes at massive global scale.
The platform includes industry leading products in CI/CD, Feature Flags, Cloud Cost Management, Service Reliability, Chaos Engineering, Software Engineering Insights, Internal Developer Experience, and API discovery, observability, governance, and runtime protection. Over the past year, Harness powered 128M deployments, 81M builds, 1.2T API calls protected, and $1.9B in cloud spend optimized, helping customers like United Airlines and Choice Hotels accelerate releases by up to 75% and achieve 10x DevOps efficiency. With employees in over 25 countries, Harness is shaping the future of AI-driven software delivery — and we’re looking for exceptional talent to help us move even faster.
Position Summary
We're thrilled to invite passionate backend engineers to join our dynamic product team within the AI Developer Assistant product division. As we continue to expand our cutting-edge Generative AI and machine learning product, your role will be pivotal in driving its growth and evolution. Join us in shaping the future of AI-driven innovation in software delivery, where endless opportunities for professional development and impact await.
You’ll join the AI QA Assistant engineering team, focusing on end-to-end testing of web applications. The team is developing a Generative AI-powered agent that uses natural language to automate key aspects of developers’ daily tasks. This agent will generate test cases, write and maintain automation tests, and significantly reduce the burden on developers, managers, and QA teams.
Key Responsibilities
Driving end to end, design and implementation of features
Design, develop, and maintain integrations with multiple AI and cloud systems like Google Vertex AI, Azure, AWS and OpenAI
Build Gen AI based Agentic architecture for a first class AI enabled user experience
Use Prompt engineering techniques to leverage the best LLM models
Collaborate with product management, engineering teams and Machine learning engineers for requirements through to delivery
Design and implement scalable AI services
About You
6+ years of experience developing backend systems
6+ years of experience in Python with some knowledge of JavaScript (preferably Typescript)
Experience in RestAPIs, RPC, Deploying services
Experience in data modeling using NoSQL systems like MongoDB or SQL systems like MySQL, Postgres, etc.
Bachelor's degree, CS preferred, or equivalent professional experience
Experience working AWS to build scalable applications
Preference for candidates with experience in:
Building Code Generation products using LLMs:
Knowledge of browser automation tools such as Puppeteer
Work Location
- Bangalore
- Hybrid
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 “startups within a startup” at scale | Jyoti Bansal
Harness Research Shows AI Visibility Crisis Fueling Security Nightmare
Harness has been named to the Inc. Power Partner list for software delivery success
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
Note on Fraudulent Recruiting/Offers
We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.
Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.
If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at security@harness.io. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.
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About Split.io

Split.io
AcquiredBest known for creating and developing the Hitman and Kane and Lynch franchises.
201-500
Employees
Copenhagen
Headquarters
Reviews
3.6
2 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
3.0
Career
3.0
Management
3.0
60%
Recommend to a Friend
Pros
Works properly on mobile app
Clear problem solutions
Good for deployment and release decoupling
Cons
Blacklisted by many firewalls
Breaks web browser access
Inconsistent experience between web and mobile
Interview Experience
36 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 65%
Neutral 17%
Negative 18%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
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