Staff Software Engineer AppSec

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle.

Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.

Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency.

With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster.

Position Summary

This is an amazing opportunity to be a Staff Engineer in a high-growth, high-potential startup. In this role, you will be responsible for architecting, designing, developing, and delivering high-quality software that has a direct impact on the company's product experience and growth.

Key Responsibilities

• Design, develops and maintain critical software of scalable platform in fast paced environment
• Authors software functional specifications and design documents
• Quickly understand complex systems/code and own key pieces of the system, including the delivered quality
• Diagnose and troubleshoot complex problems in a distributed computing environment
• Establishes the best practices in area of quality, performance & architecture inside the team
• Mentors Software Engineers & Senior Software Engineers and provide technical leadership to them
• Performs peer reviews of specifications, designs, and code
• Identifies the technical debt & scaling issues in the basecode and drives the improvement
• Collaborate with Data Science and ML teams to productionise the work into the product
• We work in Java and Python. Our platform comprises Kafka, Kafka Streams, Spark, Trino, Iceberg, MongoDB, Kubernetes.

About You

• A desire to build products that solve complex technical problems for end users
• 7-12 years experie