Staff Software Engineer - Data Infrastructure
Harness: AI-Native Software Delivery Platform
About the Role
We are looking for a Staff Software Engineer specializing in Data Infrastructure to design, build, and manage the foundational data systems that power our product. This role will focus on scalable, secure, and reliable data pipelines, cloud-native databases, and observability for data platforms.
You will work closely with Cloud, SRE, and Product teams to build systems that enable seamless data flow and operational excellence.
Key Responsibilities
- Design and manage cloud-native data infrastructure (Postgres, MongoDB, Redis, data pipelines, and object storage).
- Build and maintain highly available and scalable data pipelines for real-time and batch processing.
- Develop infrastructure as code using Terraform, Helm, or similar tools for reproducible environments.
- Own the observability and reliability metrics for critical data systems.
- Work on cloud platform migrations (e.g., GCP to AWS) and database version upgrades with minimal downtime.
- Collaborate with Product and SRE teams to automate failover, backup, and disaster recovery solutions.
- Ensure data security, governance, and compliance across the infrastructure.
- Troubleshoot complex performance issues in production and optimize resource usage.
Must-Have Skills
- Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
- 6-12 years of experience in Data Infrastructure
- Proficiency in data infrastructure components like Postgres, MongoDB, Redis, CloudSQL, or Amazon RDS
- Strong understanding of data modeling, database design, and data warehousing concepts
- Proficiency in programming languages like Python, Java, or Scala
- Solid experience with Terraform, Kubernetes, and CI/CD pipelines
- Familiarity with cloud-native observability tools (Grafana, Prometheus, AWS CloudWatch, Google Operations Suite)
- Experience with data security best practices and backup strategies
- Strong debugging, troubleshooting, and incident management skills
Nice-to-Have
- Exposure to multi-cloud or cloud migration projects
- Understanding of streaming data tools (Kafka, Pub/Sub, Kinesis)
- Contributions to open-source data or infra projects
Work Location
- Bangalore Hybrid - 3 days per week
What you will have at Harness
- Competitive compensation
- Comprehensive healthcare benefit
- Paid Time Off and Parental Leave
- Monthly, quarterly, and annual social and team-building events
- Recharge & Reset Program
- Monthly internet reimbursement
- Commuter benefits
Harness in the news:
- Harness Grabs a $150m Line of Credit
- Welcome Split!
- SF Business Times - 2024 - 100 Fastest-Growing Private Companies in the Bay Area
- Forbes - 2024 America's Best Startup Employers
- SF Business Times - 2024 Fastest Growing Private Companies Awards
- Fast Co - 2024 100 Best Workplaces for Innovators
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 security@harness.io. 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.