Staff Software Engineer - Data Infrastructure
@ Harness

Bengaluru, Karnataka, India
On Site
Posted 9 days ago

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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.

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.
  • Proficiency in programming languages like Python, Java, or Scala.
  • Solid experience with Terraform, Kubernetes, and CI/CD pipelines.
  • 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.

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.
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How to Get Hired at Harness

🎯 Tips for Getting Hired

  • Research Harness's culture: Study their mission, values, and recent news.
  • Tailor your resume: Highlight relevant data infrastructure experiences.
  • Prepare for interviews: Understand cloud technologies and database management.
  • Showcase projects: Discuss specific work with cloud-native tools.

📝 Interview Preparation Advice

Technical Preparation

Practice Terraform and cloud-native tool usage.
Familiarize with PostgreSQL and MongoDB database systems.
Work on real-time data pipeline projects.
Review observability tools like Grafana and Prometheus.

Behavioral Questions

Prepare to discuss team collaboration experiences.
Reflect on how you handle project deadlines.
Think about troubleshooting instances in your work.
Consider what motivates you in a team environment.

Frequently Asked Questions