Staff Software Engineer Data Platform(Data Ingestion)

Harness

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profile Job Location:

Bengaluru - India

profile 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

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

  • Bachelors or Masters 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

  • Bangalore. The successful candidate will be expected to be in the Bangalore office 2x/ 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 @. 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:

Staff IC

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 On...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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Enhance DevOps with AI-driven CI/CD, feature flags, chaos engineering, and cloud cost management to secure & streamline software delivery.

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