Job Description

Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers' pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace.

Harness is led by technologist and entrepreneur Jyoti Bansal, who founded AppDynamics and sold it to Cisco for $3.7B. We're backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank.

About Role

You will contribute to the design and development of scalable and highly available data platform systems, working closely with senior engineers and SRE teams. You would solve deep problems around performance, scalability 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.

Qualifications

Bachelor's or Master's degree in computer science 10+ years of hands-on software(backend) development experience - most of which should be in the data platform space involving distributed systems Deep exposure to Streaming Technologies like Flink, Spark Streaming, Kafka Streams etc Deep exposure to Big Data Technologies like Hadoop, Spark, Kafka Deep exposure to OLAP stores like Pinot, Druid, Clickhouse Must have worked with open source technologies in the data platform space Familiarity with document datastores such as MongoDB Exposure to scaling and operating production data systems at 10K+ QPS Deep exposure to JVM based languages like Java, Scala, Kotlin Preferred - open-source contributions to major apache projects in the data space(e.g. Apache Spark or Kafka)

Work Location

Bangalore. The successful candidate will be expected to be in the Bangalore office 3x/ week.

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:

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