We strongly prefer candidates who are currently located in or near the designated job location. Candidates outside the area should apply only if they are committed to relocating prior to their start date and have the legal right to work in the job location.
Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale.
We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design.
Join us on our mission to shape the future of our industry.
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
Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below. Actual salary depends upon many factors, including a candidate’s skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above the stated range may be offered. This position may also be eligible for bonus compensation, commission (if in a sales function), and/or equity grants. Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.
Pay Range :
The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.
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Equal Employment Opportunity Employer (EEOE)
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or [email protected] for assistance.
In-Office Expectations
Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.
Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.
Skills Required
- BS, MS, or PhD in Computer Science or a related technical field
- 15+ years of engineering leadership experience
- Experience managing large, multi-layered global organizations
- Experience 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 DevSecOps experience, including vulnerability management, security automation, compliance, and threat detection
- 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
Cohesity Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cohesity and has not been reviewed or approved by Cohesity.
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Wellbeing & Lifestyle Benefits — Leave and wellness programs appear broad, including flexible time off, company-wide refresh days, meeting-free focus blocks, an EAP, and learning/wellness perks such as MindGym sessions and Scribd access.
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Parental & Family Support — Parental and family benefits are positioned as a notable strength, with paid parental leave and additional family supports such as fertility benefits via Progyny.
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Healthcare Strength — Core coverage is described as comprehensive, with medical, dental, and vision offerings for employees and families alongside related support resources.
Cohesity Insights
What We Do
We believe that simplicity is the foundation of modern data management. Our mission is to radically simplify how organizations manage their data and unlock limitless value.
