СШАEngineering Manager, Deployment
3 нед. назад
СШАLeadOnsite
Lead the deployment engineering team responsible for scaling high-performance compute and GPU-based AI infrastructure.
О компании
- Cloud is seeking an Engineering Manager, Deployment to help lead the organization responsible for physically and logically bringing our global network online. As we rapidly scale our footprint of high-performance compute (HPC) and GPU-based AI infrastructure, you will manage a deployment team's people, process, and delivery across a portion of our growing portfolio of concurrent global builds, working closely with Network Deployment technical leadership to execute against strategy.
- You're accountable for your team's output: every site, every quarter, at hyperscale pace. You build and grow your team, help drive adoption of deployment standards in day-to-day practice, and contribute to planning conversations with Data Center Ops, Supply Chain, and Site Reliability leadership.
Требования
- 6+ years of experience in network engineering or data center deployment, including 2+ years managing engineers in a large-scale infrastructure environment.
- Proven People Leadership: Track record of building and retaining a high-performing technical team.
- Program Execution: Demonstrated ability to deliver on multiple concurrent, complex projects spanning sites, time zones, and vendors, with solid reporting and risk management.
- Strong Technical Fluency: Solid grounding in physical layer standards (structured cabling, optics, 400G/800G and beyond), leaf-spine fabric (Arista/Juniper/NVIDIA-Mellanox), and protocols (BGP, EVPN-VXLAN, LLDP), enough to guide your team and engage credibly with Architecture.
- Automation Fluency: Working understanding of Python/Ansible/ZTP-based deployment automation and CI/CD patterns, sufficient to drive adoption within your team.
- Vendor and Partner Management: Experience holding external partners to SLAs, including escalation when performance slips.
- Clear Communication: Comfortable setting context and managing expectations with stakeholders across Ops, Supply Chain, and Architecture.
- Operational Judgment: Able to balance near-term delivery pressure against team health and sustainability.
- Education: Bachelor's degree in a technical field or equivalent practical experience in hyperscale or ISP environments.
Условия
- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
- Additional perks & programs specific to location
- Compensation will be paid in the range of up to $200,000 - $240,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.
Другое
- is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join , you join a team that is building the future, faster.
- We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
- We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
- If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at .
- Build and Lead Your Team: Manage your team's structure and growth. Hire and develop Network Production Engineers across multiple sites and time zones.
- Drive Deployment Automation Adoption: Help execute the automation strategy across the deployment lifecycle, including ZTP-based provisioning, Ansible-driven configuration, and CI/CD pipelines for network turn-up. Hold your engineers accountable for replacing manual, repeatable steps with automated workflows as the site pipeline scales.
- Deliver Your Portion of the Portfolio: Be accountable for on-time, zero-defect delivery across your assigned site build-outs. Manage the operating cadence and staffing for your team within the broader program.
- Execute Against Strategy: Work with Network Deployment technical leadership to turn deployment strategy and standards into execution plans for your team, and surface field realities that should inform how those standards evolve.
- Report on Program Status: Provide program reporting and risk escalation on your team's work to Data Center Ops, Supply Chain, and Site Reliability leadership as needed.
- Manage Vendor and Partner Performance: Hold structured cabling vendors, remote hands, and data center providers to defined SLAs and quality bars for your sites. Escalate systemic partner issues.
- Champion Validation Rigor: Ensure burn-in and site acceptance testing (SAT) standards are consistently met across your sites. Partner with Operations leadership on handoff quality and root-cause resolution.
- Support Capacity Planning: Provide input to Supply Chain and Infrastructure leadership on hardware lifecycle, lead-time risk, and turn-up cadence for your team's site pipeline.
- Contribute to Continuous Improvement: Participate in cross-site retrospectives and post-incident reviews. Surface gaps in tooling, staffing, or process for your team.
- Develop Team Members: Coach engineers into stronger technical and people contributors.
- Apply Frontend Network Reference Architecture: Build sites against established reference architectures for the frontend GPU/compute fabric (leaf-spine design, RDMA/RoCE, optics, scale-out topology), and provide field feedback to Architecture as GPU generations and interconnect standards evolve.
- Apply Backend Network Reference Architecture: Build sites against established reference architectures for backend networks (storage fabric, management, out-of-band connectivity), ensuring your team's builds integrate cleanly with frontend fabric during turn-up.