Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
ArgoCD @ 3
CI/CD @ 3
Communication @ 6
Compliance @ 6
DevOps @ 4
Engineering Management @ 6
Jenkins @ 3
Kubernetes @ 7
Leadership @ 6
Machine Learning
SRE
Security @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
SentinelOne is seeking a Director of Developer Experience to lead the organization responsible for how engineers build, test, ship, and operate software. The role owns two interconnected functions: Infrastructure Services, including CI/CD orchestration, GitOps continuous delivery, and artifact management, and Developer Tooling, including CI/CD pipelines and internal developer platforms.
The Director will define and execute the strategy for integrating AI across the software development lifecycle, including AI-assisted code generation and review, AI-driven engineering intelligence, automated test generation, intelligent test selection, and AI-assisted incident response. The role has executive visibility and responsibility for improving engineering productivity, software delivery speed, production confidence, and the safe adoption of AI across the SDLC.
Responsibilities
- Lead, grow, and develop a multi-team organization of managers and senior engineers across Infrastructure Services and Developer Tooling.
- Define and execute the developer experience vision covering build, test, deployment, artifact management, internal platform capabilities, and AI-augmented developer workflows.
- Own the strategy and rollout of AI tooling across the SDLC, including AI coding assistants, AI code review and pull request automation, AI-assisted test generation, and AI engineering intelligence platforms.
- Drive AI tooling adoption, measure its impact, and ensure tools are deployed safely and effectively.
- Ensure the availability, performance, and security of systems used by engineers.
- Evolve CI/CD pipelines to be faster, more reliable, self-service, and secure.
- Establish metrics and use them to drive measurable improvements in developer productivity.
- Partner with security, legal, and AI leadership to establish policies for AI-generated code, intellectual property and licensing, data handling, model selection, and acceptable-use guardrails.
- Partner with security, SRE, product engineering, architecture, and AI/ML teams on standards, golden paths, and shared platforms.
- Own the budget, tooling investments, and vendor relationships for the developer experience portfolio, including AI tooling expenditure.
- Recruit, mentor, and retain engineering leaders and individual contributors.
Requirements
- 10+ years of progressive engineering experience.
- 5+ years of engineering management experience.
- At least 2 years of experience leading managers.
- Demonstrated experience building and scaling developer experience, platform engineering, or DevOps organizations in a mid-to-large engineering organization.
- Deep, hands-on familiarity with modern CI/CD and developer tooling, including Jenkins, ArgoCD, Artifactory, or equivalent technologies.
- Practical experience evaluating, deploying, and measuring the impact of AI developer tooling.
- A clear perspective on how AI changes the SDLC while maintaining security, code quality, and developer trust.
- Strong understanding of Kubernetes, GitOps, containerization, and cloud-native deployment patterns.
- Experience defining and operating internal developer platforms and golden paths.
- Strong strategic thinking combined with the ability to engage deeply in technical decisions.
- Excellent communication and executive presence, with the ability to influence engineering and partner with security, compliance, legal, and product leadership.
- A demonstrated focus on developer empathy, self-service, and reducing toil.
Benefits
- Restricted Stock Units (RSUs)
- Employee Stock Purchase Plan (ESPP)
- Flexible time off, paid company holidays, and paid sick time
- Gender-neutral parental leave and grandparent leave
- Medical, dental, and vision coverage
- 401(k) retirement plan with company match
- Life and disability insurance
- Health and dependent care FSA
- Voluntary hospital, accident, and critical illness benefits
- Employee Assistance Program (EAP)
- ARAG prepaid legal services
- Nationwide pet insurance
- Cancer Care program
- Global business travel medical insurance
- Home office allowance
- Mobile phone reimbursement
- Wellness coach and wellness/gym reimbursement
- Fertility coverage
- Adoption and surrogacy reimbursement
Compensation
The U.S. base salary range is $206,250–$275,000 USD. The range may vary based on the candidate's location, and a different range may apply in some locations.