Engineering Manager, Production Platform and Orchestration

Accountabilities

Lead, coach, and grow a distributed engineering team focused on production platforms, fleet orchestration, reliability, and operational automation.
Establish clear ownership boundaries, develop emerging technical leaders, recruit effectively, and create an organization capable of scaling with the infrastructure footprint.
Translate customer and business priorities into a coherent engineering roadmap while protecting the team from reactive or unstructured operational demands.
Define the technical strategy for provisioning, deployment, environment lifecycle, fleet health, capacity, upgrades, rollback, and production control-plane capabilities.
Build reliable orchestration systems covering inventory, placement, configuration, health management, and multi-system operations across a heterogeneous accelerator environment.
Establish service-level objectives, operational metrics, alerting standards, and sustainable on-call practices for customer-facing production systems.
Own the operating cadence for incidents, escalations, postmortems, corrective actions, launch readiness, and reliability reviews.
Drive automation across deployment, upgrades, remediation, diagnostics, capacity planning, and common support workflows to prevent fleet growth from creating proportional operational overhead.
Partner with hardware and data center teams on rack bring-up, networking, firmware, sparing, failure handling, and infrastructure transitions.
Collaborate with serving/API, model enablement, and compiler/runtime teams to turn new platform capabilities into reliable, supportable production services.
Monitor fleet health, incident patterns, deployment reliability, operational toil, and critical failure points, using these insights to prioritize platform investments.
Establish durable operating practices and specialized ownership as the production organization grows across fleet orchestration, deployment lifecycle, observability, data center operations, and operational tooling.
Requirements
Demonstrated success managing and growing engineering teams responsible for distributed systems, cloud infrastructure, production platforms, SRE, or closely related technical domains.
Strong technical judgment across Linux systems, networking, orchestration, deployment systems, observability, and production reliability.
Proven ability to turn ambiguous operational challenges into clear roadmaps, explicit ownership models, and measurable engineering outcomes.
Experience recruiting, coaching, developing, and retaining engineers across experience levels while maintaining a high technical bar.
Ability to operate effectively across software, hardware, data center, customer, and business boundaries.
Excellent written and verbal communication skills, including the ability to make technical tradeoffs, priorities, risks, and decisions clear to both technical and executive stakeholders.
Hands-on leadership style with sufficient technical and operational depth to engage in architecture and production discussions without becoming a bottleneck.
Experience operating services with meaningful availability expectations, including on-call programs, incident management, root-cause analysis, and reliability planning.
Experience with control planes, schedulers, placement systems, capacity-management systems, or multi-rack orchestration is highly valuable.
Experience working with GPU, FPGA, ASIC, or other accelerator fleets in production is strongly preferred.
Background in data center deployment, hardware lifecycle management, firmware coordination, sparing/RMA processes, or production networking is advantageous.
Demonstrated ability to scale infrastructure from early deployments to multiple sites or hundreds of systems.
Experience with customer-facing infrastructure where engineering teams participate in production escalation and service readiness.
Proven automation experience that has materially reduced operational toil, incident frequency, recovery time, or manual intervention.
Ability to develop a sustainable production organization with clear specialties, healthy management spans, and scalable operational coverage.
Benefits
Base salary range of $200,000–$300,000, with flexibility based on experience, specialized expertise, qualifications, internal equity, and expected impact.
Competitive equity as part of the overall compensation package.
Fully company-paid medical, dental, and vision insurance for employees and dependents.
Company-paid life and disability insurance, with additional voluntary coverage options.
Supplemental hospital, critical illness, and accident insurance options.
Unlimited paid time off designed to support meaningful rest and flexibility.
13 paid company holidays.
Remote-first work culture with a company-provided computer and home-office setup.
401(k) plan with company matching, eligible from day one.
Opportunity to shape both the technology and organizational foundations of a rapidly growing AI infrastructure environment.
Visa transfer support for eligible H-1B candidates; new visa sponsorship is not available for this role.
Position is remote within the United States and requires current authorization to work in the U.S.