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 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster.
- Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions to meet business needs.
- Implement data quality checks and ensure data integrity and reliability throughout the data lifecycle.
- Optimize and tune data pipelines for performance and efficiency.
- Troubleshoot and debug data-related issues, and provide timely resolution.
- Stay updated with the latest technologies and best practices in data engineering and apply them to improve existing systems.
- Document data architecture, processes, and workflows.
- Provide support and guidance to junior members of the team.
- Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.
- 9+ yrs of proven experience as a data engineer or similar role, with a strong background in data warehousing, ETL/ELT processes, and data modeling.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies such as BigQuery, Spark, Kafka, DBT, SQLMesh etc.
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong SQL skills and experience working with relational and NoSQL databases.
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Experience
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Knowledge of machine learning techniques and frameworks.
- Experience with DevOps practices and tools for CI/CD.
Mountain View, CA - Hybrid (3 days / week onsite)
What you will have at Harness- Competitive salary
- Comprehensive healthcare benefits
- Flexible Spending Account (FSA)
- Flexible work schedule
- Employee Assistance Program (EAP)
- Flexible Time Off and Parental Leave
- Monthly, quarterly, and annual social and team building events
- Monthly internet reimbursement
- 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.
At Harness, we care about your privacy and are committed to protecting your personal data. For additional information on this topic, you can visit our privacy Portal: https://harness-privacy.relyance.ai/
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 [email protected]. 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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or related field
- Master's degree
- 9+ years proven experience as a data engineer or similar role
- Strong background in data warehousing, ETL/ELT processes, and data modeling
- Proficiency in Python, Java, or Scala
- Experience with BigQuery, Spark, Kafka, DBT, SQLMesh
- Hands-on experience with AWS, Azure, or Google Cloud
- Strong SQL skills and experience with relational and NoSQL databases
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of machine learning techniques and frameworks
- Experience with DevOps practices and CI/CD tools
Harness Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harness and has not been reviewed or approved by Harness.
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Fair & Transparent Compensation — Pay is considered competitive across many roles, with engineering noted as particularly strong. Feedback suggests role-level compensation details for sales are relatively visible, aiding clarity around base and OTE.
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Leave & Time Off Breadth — Programs like flexible PTO, parental leave, periodic company-wide Fridays off, and a dedicated Recharge & Reset benefit expand time-away options. Feedback suggests these cadence-based days help employees meaningfully disconnect.
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Healthcare Strength — Core medical, dental, and vision coverage is highlighted alongside an Employee Assistance Program and wellness initiatives. Mental health and wellbeing support complement the primary plans.
Harness Insights
What We Do
Harness is a leader in AI-native software delivery, dedicated to empowering developers and engineering teams worldwide. We revolutionize how software is built, tested, deployed, and optimized by driving efficiency, reliability, and speed throughout the software development lifecycle. At Harness, we envision a world where developers focus on innovation, free from repetitive tasks, supported by tools that streamline every step. Our platform leverages AI and automation across all key pillars of software delivery: Continuous Integration, Continuous Delivery, Feature Flags and Experimentation, Cloud Cost Management, Security Testing, and more. By automating traditionally manual processes that slow down engineering teams, Harness enables organizations to release software faster, reduce errors, and optimize costs—all while enhancing the developer experience and flexibility. Harness is transforming software delivery on a global scale. As a pioneer in AI-driven automation, we streamline complex development processes, eliminate inefficiencies, and empower developers to innovate freely. Our mission is ambitious: enabling millions of developers to deliver code faster, more reliably, and with greater ease than ever before.
Why Work With Us
Harness is built on a culture of growth, collaboration, and transparency, where team members are encouraged to push boundaries and solve meaningful challenges. We invest in personal and professional development, value work-life balance, and foster a supportive environment—making Harness an ideal place to make a real impact in tech.
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