Director of Engineering Productivity and DevX

Responsibilities

• Strategic Leadership & Technical Roadmap
• Define and execute the vision and roadmap for Engineering Productivity and internal developer platforms.
• Drive the technical strategy, tools, and infrastructure necessary to improve developer velocity, engineering quality, release reliability, and operational excellence.
• Establish scalable foundations for CI/CD, testing, developer environments, observability, release orchestration, and engineering insights.
• Champion AI-native engineering practices, integrating generative AI, intelligent automation, and agentic workflows into the SDLC.
• Partner with product and platform engineering teams to ensure scalable, reliable, and developer-friendly engineering standards.
• Tooling, Infrastructure & Developer Platforms
• Build and evolve internal platforms, frameworks, and tooling that improve software engineering efficiency and product excellence.
• Own and optimize the internal SDLC, ensuring teams can reliably deliver multiple production releases per day without compromising quality.
• Improve development workflows across microservices, Kubernetes, cloud infrastructure, and multi-tenant SaaS environments.
• Standardize and streamline build systems, developer environments, test infrastructure, deployment pipelines, and release engineering practices.
• Ensure internal platforms meet high standards for scalability, resilience, security, and availability.
• Engineering Productivity & Metrics
• Establish data-driven engineering metrics using DORA, SPACE, and Software Engineering Insights frameworks.
• Analyze and eliminate bottlenecks across CI/CD pipelines, testing systems, developer workflows, and cloud infrastructure.
• Drive measurable improvements in deployment frequency, lead time, change failure rate, MTTR, build reliability, and engineering throughput.
• Build executive-level visibility into engineering health, operational efficiency, and productivity trends.
• Continuously improve developer experience by reducing friction, cognitive load, and repetitive operational tasks.
• Leadership & Talent Management
• Lead, mentor, and grow a globally distributed organization of engineers, technical leads, and engineering managers.
• Build and sustain a high-performance, execution-oriented engineering culture focused on owner

Benefits

Additional Information

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. Role Overview At Harness, we are on a mission to enable every software developer to deliver code to their users reliably, efficiently, and securely. As the Director of Engineering Productivity, and Developer Experience you will drive the technical strategy, tools, and infrastructure that increase engineering velocity, quality, reliability, and efficiency across the company. You will lead a large, distributed engineering organization of 40-60+ engineers and engineering managers responsible for optimizing development workflows, CI/CD systems, testing infrastructure, release engineering, developer platforms, and AI-native productivity tooling. You will build a "10x" engineering culture that sets the global benchmark for what it means to be AI-native This is a high-impact leadership role requiring deep SaaS expertise, strong operational execution, and a passion for developer experience, quality engineering, automation, and AI-driven workflows. You will partner closely with product engineering, infrastructure, SRE, security, and executive leadership teams to champion polished, scalable, high-velocity engineering practices across Harness.

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