The job, in the employer's words
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
This role bridges infrastructure and product engineering: you'll build genuine partnerships across product, AI, and enterprise teams so that ownership is shared and velocity is never blocked by platform constraints. As a leader, you'll set a forward-looking cloud vision, proactively align with stakeholders across the business, and ensure the platform scales for multi-shard, multi-region growth while meeting security and compliance commitments (SOC 2, business continuity/disaster recovery, and enterprise security frameworks). You'll implement and drive the adoption of AI-powered tooling and autonomous agents within the infrastructure organization.
The Role:
Cost Efficiency: Deliver measurable annual infrastructure savings by executing the migration of data workloads to EKS and self-hosting key services.
Ingress Convergence: Deprecate legacy frontend ALBs and consolidate to a single EKS-managed ALB per shard, unblocking faster deployments across the org.
Coverage & Bench Depth: Eliminate single points of ownership across Networking, OpenSearch, and Terraform through cross-training and targeted hiring.
Stakeholder Alignment: Stand up a recurring alignment cadence with Product, AI, Enterprise, and Security so infra planning is driven by demand, not ad-hoc interrupts.
Automation: Ship automated shard buildout via Backstage to remove manual toil from enterprise scaling.
Reliability: Cut P0/P1 incidents attributed to Cloud Platform (DNS, ALB misconfiguration, EKS) through hardened ingress patterns and Terraform-policy guardrails. Own incident response and RCA follow-through for the team.
Roadmap Ownership: Own and deliver against the team's roadmap for Agent enablement, centralized IaC, and deployment rollout acceleration, and contribute to the broader Cloud Platform strategy tied to AI and Enterprise revenue goals.
Technical Leadership: Architect and contribute code to key initiatives (EKS migration, ALB consolidation, Backstage shard automation), and lead design reviews with senior engineers.
People Leadership: Lead, grow, and retain a senior-heavy team distributed across the US, Canada, and Europe, spanning FTEs and contractors, with a focus on career development, cross-training, and bench depth.
Vendor Management: Partner with Finance and leadership on AWS spend visibility and savings targets, manage contractor performance and budget, and keep a savings-pipeline mindset baked into planning.
Qualifications:
Experience: 9+ years in infrastructure/platform engineering, including 5+ years in engineering management leading distributed teams of senior engineers while remaining hands-on.
Deep AWS infrastructure mastery: EKS, networking (VPC/TGW/DNS), and Terraform at scale, with strong architectural judgment; able to review designs and guide senior engineers' technical decisions.
Hands-on technical leadership: Actively architects, writes code, and develops systems alongside the team. You are a working engineer as well as a manager.
Strategic roadmap ownership: Experience translating cloud priorities into 3–9 month team roadmaps tied to business outcomes across enterprise, AI, and cost, and delivering against them.
Cross-team influence: Builds genuine partnerships across Product, Security, SRE, and DB orgs, driving shared ownership across traditional infra/product boundaries.
Application-level curiosity: Genuinely understands what the product does, not just the infrastructure underneath, and extends ownership past traditional platform boundaries.
People leadership: Proven experience managing, growing, and retaining senior, geographically distributed teams across FTE/contractor blends; builds bench depth and contributes to succession planning.
Hiring: Experience running structured hiring loops and closing senior engineers, including into specialized gaps (networking, search, IaC).
Operational rigor: Strong on-call instincts, incident ownership, and RCA follow-through.
Security-first instincts: This team touches blast radius (auth enforcement, network isolation, shard boundaries). A verify-first, never-assume mindset is non-negotiable.
AI & automation mindset: Uses AI tools daily in your own engineering work, with demonstrated appetite for DevSecOps agents, AI-assisted IaC migrations, and skills-based automation — a core part of the near-term roadmap.
AI/ML infrastructure experience (strong plus): Scaling workloads like GPU orchestration, model-serving infrastructure, or cost-optimized compute for inference.
Education: BS/MS in CS, Engineering, or equivalent.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
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Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
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ClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Requirements mentioned
- Experience: 9+ years in infrastructure/platform engineering, including 5+ years in engineering management leading distributed teams of senior engineers while remaining hands-on.
- Deep AWS infrastructure mastery: EKS, networking (VPC/TGW/DNS), and Terraform at scale, with strong architectural judgment; able to review designs and guide senior engineers' technical decisions.
- Hands-on technical leadership: Actively architects, writes code, and develops systems alongside the team. You are a working engineer as well as a manager.
- Strategic roadmap ownership: Experience translating cloud priorities into 3–9 month team roadmaps tied to business outcomes across enterprise, AI, and cost, and delivering against them.
- Cross-team influence: Builds genuine partnerships across Product, Security, SRE, and DB orgs, driving shared ownership across traditional infra/product boundaries.
- Application-level curiosity: Genuinely understands what the product does, not just the infrastructure underneath, and extends ownership past traditional platform boundaries.
- People leadership: Proven experience managing, growing, and retaining senior, geographically distributed teams across FTE/contractor blends; builds bench depth and contributes to succession planning.
- Hiring: Experience running structured hiring loops and closing senior engineers, including into specialized gaps (networking, search, IaC).
- Operational rigor: Strong on-call instincts, incident ownership, and RCA follow-through.
- Security-first instincts: This team touches blast radius (auth enforcement, network isolation, shard boundaries). A verify-first, never-assume mindset is non-negotiable.
- AI & automation mindset: Uses AI tools daily in your own engineering work, with demonstrated appetite for DevSecOps agents, AI-assisted IaC migrations, and skills-based automation — a core part of the near-term roadmap.
- AI/ML infrastructure experience (strong plus): Scaling workloads like GPU orchestration, model-serving infrastructure, or cost-optimized compute for inference.
- Education: BS/MS in CS, Engineering, or equivalent.
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