Staff Software Engineer - Data Platform(Data Ingestion)
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 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 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 Ingestion charter under the Unified Data Platform umbrella, focused on designing and developing an extremely high-scale ingestion platform with focus on data streaming, open table based data storage, and highly scalable transformation layer. This platform is the foundation to multiple experiences within Harness including dashboard, analytics, and product utilization.
About the Role
• You will collaborate with principal engineers and architects on the design, architecture, and development of this platform. This will involve solving complex challenges related to data streaming, transformation, and managing extremely large-scale data storage.
• Collaborate closely with various product engineering teams, offering guidance to facilitate their onboarding onto the data platform.
• Author high level & low level design documents.
• Design and implement automation of infrastructure setup using helm, terraform and similar technologies.
• 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
• Minimum 7-12 years of hands-on experience in backend software development, primarily within the data platform domain and with a focus on distributed systems.
• Hands on experience building ETL pipelines with technologies like SQLMesh, DBT, or Spark Structured Streaming
• Hands-on experience with query engines like Trino
• Deep exposure to OLAP stores like Pinot, Druid, Clickhouse, StarRocks, Snowflake, or Databricks
• Working experience with open table architecture such as Iceberg, Delta Lake or Hudi.
• Experience with data streaming technologies like Flink, Spark Streaming, Kafka Streams etc
• Familiarity with OLTP datastores such as MongoDB, PostgreSQL
• Experience scaling and operating production data systems at 10K+ QPS
• Deep working experience with Java and Python
Work Location
• US Remote
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 [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.
Apply Now
Apply Now
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 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 Ingestion charter under the Unified Data Platform umbrella, focused on designing and developing an extremely high-scale ingestion platform with focus on data streaming, open table based data storage, and highly scalable transformation layer. This platform is the foundation to multiple experiences within Harness including dashboard, analytics, and product utilization.
About the Role
• You will collaborate with principal engineers and architects on the design, architecture, and development of this platform. This will involve solving complex challenges related to data streaming, transformation, and managing extremely large-scale data storage.
• Collaborate closely with various product engineering teams, offering guidance to facilitate their onboarding onto the data platform.
• Author high level & low level design documents.
• Design and implement automation of infrastructure setup using helm, terraform and similar technologies.
• 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
• Minimum 7-12 years of hands-on experience in backend software development, primarily within the data platform domain and with a focus on distributed systems.
• Hands on experience building ETL pipelines with technologies like SQLMesh, DBT, or Spark Structured Streaming
• Hands-on experience with query engines like Trino
• Deep exposure to OLAP stores like Pinot, Druid, Clickhouse, StarRocks, Snowflake, or Databricks
• Working experience with open table architecture such as Iceberg, Delta Lake or Hudi.
• Experience with data streaming technologies like Flink, Spark Streaming, Kafka Streams etc
• Familiarity with OLTP datastores such as MongoDB, PostgreSQL
• Experience scaling and operating production data systems at 10K+ QPS
• Deep working experience with Java and Python
Work Location
• US Remote
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 [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.
Apply Now
Apply Now