Senior Software Engineer Data Platform

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Harness is led by technologist and entrepreneur Jyoti Bansal founder of AppDynamics (acquired by Cisco for $3.7B). The company has raised $570M 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 ServiceNow Splunk Ventures and more. Harness is building the industrys leading AI-powered software delivery platform enabling teams worldwide to build test and deliver software faster safer and more reliably. Writing code is only 3040% 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 inCI/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 were looking for exceptional talent to help us move even faster.

Position Summary

This role comes under the AppSec Platform charter focused on designing and developing a multi cloud portable OSS backed streaming first data platform for powering API observability & security products. Additionally the team is also responsible for common services in the authentication & authorization space.

The platform serves as the core-pillar for customer facing Analytics module & supports various product modules like Catalog Run-time Protection Application Security Testing as well.

About the Role

You will contribute to the development of scalable and highly available data platform systems.
You would solve deep problems around performance scalability cost for data systems.
You would help scaling and operationalising data systems working closely with SRE teams.
You would be building these platforms and systems that will be used by other product engineering teams.

About You

Bachelors or Masters degree in Computer Science or related field.
3-6 years of backend engineering experience with strong focus on data platforms.
Proven expertise in building low-latency highly concurrent microservices in the Data Platform space.
Proficiency in JVM-based languages (Java Scala Kotlin).
Mandatory - Good understanding of distributed storage & compute technologies in the Datalake/Lakehouse space - like Iceberg Delta Trino StarRocks Spark.
Preferred - Understanding of MPP/OLAP DBs like Pinot or Druid. Understanding of streaming technologies like Flink Kafka Streams or Spark Streaming.

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 @. 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. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commissions website ( or you can contact your local law enforcement agency.

Required Experience:

Senior IC

The platform serves as the core-pillar for customer facing Analytics module & supports various product modules like Catalog Run-time Protection Application Security Testing as well.

About the Role

You will contribute to the development of scalable and highly available data platform systems.
You would solve deep problems around performance scalability cost for data systems.
You would help scaling and operationalising data systems working closely with SRE teams.
You would be building these platforms and systems that will be used by other product engineering teams.

About You

Bachelors or Masters degree in Computer Science or related field.
3-6 years of backend engineering experience with strong focus on data platforms.
Proven expertise in building low-latency highly concurrent microservices in the Data Platform space.
Proficiency in JVM-based languages (Java Scala Kotlin).
Mandatory - Good understanding of distributed storage & compute technologies in the Datalake/Lakehouse space - like Iceberg Delta Trino StarRocks Spark.
Preferred - Understanding of MPP/OLAP DBs like Pinot or Druid. Understanding of streaming technologies like Flink Kafka Streams or Spark Streaming.