Vice President of Engineering, Developer Experience, AI Enablement & SecOps 

Software development is undergoing a fundamental shift. AI agents now generate, test, and refactor code at machine speed — and the engineering system that validates, secures, and ships that code must evolve just as fast. This is not a DevOps role. This is a transformation role. 

We're looking for a VP of Engineering to own the full Developer Experience, AI-enabled SDLC, and Security Operations function — redefining how software is built, validated, secured, and deployed across Cohesity. The mission: enable developers and AI agents to ship dramatically faster, while continuously raising the bar on quality, security, and cost efficiency. 

We're evolving from: Code → Review → Test → Security → Deploy 

To: Generate → Understand → Validate → Secure → Deploy → Observe → Remediate → Learn 

AI and automation handle the mechanical work. You build the system that makes that possible. 

HOW YOU'LL SPEND YOUR TIME HERE 

• Lead and scale the organization. Manage a globally distributed team of Directors and Senior Directors spanning Developer Experience, CI/CD, test infrastructure, engineering automation, DevSecOps, and engineering intelligence. Set the multi-year strategy, own the roadmap, and build the operating model that scales with AI-driven velocity. 

• Transform Developer Experience. Build the internal developer platform that eliminates friction from idea to production — self-service environments, AI-powered dev tooling, and analytics that make underlying engineering complexity invisible. 

• Reinvent CI/CD and test infrastructure. Evolve pipelines from static pass/fail checks into intelligent delivery systems that understand what changed, what's at risk, and what validation is required. Build AI-driven, risk-adaptive test selection so high-confidence changes ship fast and high-risk changes get deep scrutiny. 

• Build AI-powered code review and automated remediation. Develop systems that perform semantic analysis, security scanning, architecture compliance, and regression prediction at machine scale — shifting engineers from reviewing every line to reviewing intent and exceptions. Automate patch generation, validation, and forward/backward propagation across releases. 

• Own Product Security Operations. Embed security directly into engineering. Own application security, supply-chain security, SAST/DAST/SCA, secrets management, vulnerability management, and automated remediation — in close partnership with the CISO. Secure by default; continuously validated; automatically remediated. 

• Drive engineering economics. Own infrastructure spend across CI/CD compute, dev environments, observability, AI inference, and cloud. Establish cost-per-developer and cost-per-deployment metrics. Maximize engineering output per dollar while keeping developer experience pristine. 

• Close the production-to-development learning loop. Connect production incidents, customer escalations, and performance signals back to the development system — so every failure improves engineering intelligence and prevents recurrence. 

WE'D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING 

• BS/MS/PhD in Computer Science or a related technical field 

• 15+ years of engineering leadership, including managing large, multi-layered global organizations 

• Proven track record leading Developer Experience, Platform Engineering, DevOps, SRE, or Engineering Productivity organizations at scale 

• Deep understanding of CI/CD, software delivery, and distributed systems architecture 

• Hands-on experience with DevSecOps — vulnerability management, security automation, compliance, and threat detection 

• Demonstrated experience applying AI/ML, LLMs, and agentic frameworks to engineering workflows across the SDLC 

• Strong understanding of engineering telemetry, productivity metrics, and engineering-outcome measurement 

• Track record of attracting, building, and retaining world-class engineering talent across globally distributed teams 

• You think in systems, not tools — your benchmark is not whether the pipeline passed, but whether the engineering system learned 

The Leadership Profile We're Looking For 

• Developer Obsessed — You understand that developer experience is a competitive advantage and that friction compounds across thousands of engineers. 

• AI Native — You don't add an AI assistant to existing workflows. You rethink the workflow assuming AI is a first-class participant. 

• Technically Deep — You engage credibly with senior engineers on distributed systems, CI/CD, security, AI/ML, and software architecture. 

• Security mindset — You believe secure software is the natural output of a well-designed engineering system, not a downstream gate. 

• Economically Disciplined — You treat infrastructure cost as an engineering metric, not a finance problem. 

Transformation Oriented — You've moved organizations from legacy processes to fundamentally new operating models — and you have the scars to prove it. 

The Challenge 

If AI can generate software 10× faster — how do we build an engineering system that validates, secures, reviews, and ships that software 10× faster — without multiplying infrastructure cost or developer friction? 

And then build it. 

#LI-NK1