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Principal Software Engineer - Data Platform(Data Activation & Analytics)

Harnessinc

Mountain View, California, United States (Mountain View (MTV)) permanent

Posted: March 2, 2026

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Quick Summary

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B).

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

We are building a unified data platform to serve 20+ product modules, enabling ingestion, processing, and retrieval of data to power analytics & systems at scale. This role is part of the Data Activation & Analytics charter under the Unified Data Platform umbrella, focused on designing and developing a self-serve analytics platform with semantic & modelling layer, DSL based query layer & analytics backwards materialization layer. The platform will support both custom dashboards that product teams can build on their own & also ready-to-embed analytics modules.

About the Role

• You will lead the design, architecture & development of this platform alongside senior architects, solving deep problems in DSL based query expressions, sub-second read latency ,multi-tenancy, high concurrency, OLAP modelling and secure data access.

• You will be working closely with senior engineering leaders, mentor senior/junior engineers and problem solve with product teams.

• Author functional/non-functional specifications and design documents

• Design and implement automation of infrastructure setup using helm, terraform and similar technologies.

• 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

About You

• Bachelor’s or Master’s degree in Computer Science or related field.

• 10+ years of backend engineering experience, with strong focus on data platforms and analytics systems.

• Proven expertise in building low-latency, highly concurrent microservices in the Data Platform space.

• Deep knowledge of fact/dimensional modelling in data lakes/warehouses.

• Strong understanding of OLAP workloads and hands-on experience with MPP/OLAP datastores such as StarRocks, Apache Pinot, or Apache Druid.

• Good understanding of OLAP/MPP DB internals(infra, performance, scale).

• Proficiency in JVM-based languages (Java, Scala, Kotlin).

• Experience in building DSL-based query services is preferred.

• Experience in building ETL for powering analytics is preferred.

Work Location

• Mountain View/Dublin. The successful candidate will be expected to be in the office 3x/ week.

What You Will Have at Harness

• Competitive salary

• Comprehensive healthcare benefits

• Flexible Spending Account (FSA)

• Employee Assistance Program (EAP)

• Flexible Time Off and Parental Leave

• Quarterly Harness TGIF-Off / 4 days

• Monthly, quarterly, and annual social and team-building events

• Recharge & Reset Program

• Monthly internet reimbursement

• Commuter benefits

Pay transparency
$204,000—$255,000 USD

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 [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.

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