Member of Technical Staff - Engineering Lead, Compute Platform
San Francisco · London · New York, NY · Full-time · Onsite · Posted Sep 30, 2026
At a glance
- Employment
- Full-time
- Workplace
- Onsite
- Location
- San Francisco · London · New York, NY
- Visa sponsorship
- Visa sponsorship available
About the role
- Reflection's Compute Platform team keeps our compute layer healthy and highly available, running a Kubernetes-based platform distributed across multiple neo-clouds.
- As Compute Platform Lead, you'll provide front-line leadership of the team that builds and operates this layer, guiding technical and architectural decisions across multi-cloud scheduling, cluster management, and next-generation GPU deployments.
Responsibilities
- Build, mentor, and grow a high-performing team of systems engineers, and coach and support your reports in their professional growth.
- Provide front-line leadership of engineering efforts to keep the compute fleet reliable and highly available across multi-cloud scheduling, cluster management, and next-generation GPUs.
- Stay hands-on by becoming familiar with the team's technical stack enough to make targeted contributions as an individual contributor.
- Manage day-to-day execution by prioritizing the team's work and managing projects in a dynamic, fast-paced environment.
- Guide technical and architectural decisions emphasizing scalability, robustness, and reliability such as automatic remediation, topology-aware scheduling, capacity planning, rapid hardware debugging, and cluster-wide monitoring.
- Work closely with training teams to co-design fault tolerance, node health checks, and remediation.
- Manage vendor relationships and important deals that the compute fleet depends on.
- Prepare the fleet for next-generation GPUs, larger clusters, multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance.
- Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
Requirements
- Experience building, mentoring, and growing systems or infrastructure teams while staying technically hands-on.
- Deep systems-level engineering experience with a focus on cluster-wide behavior and maintenance.
- Strong coding ability and the credibility to earn the technical trust of a strong team.
- Depth in at least one of orchestration, storage, or GPU hardware, with the ability to learn the rest.
- Alignment with a Kubernetes-first architecture.
- Experience managing vendors, including negotiating and operating important deals.
- Ability to guide strategy and drive execution across a multi-cloud, large-fleet environment and partner effectively with research and training teams.
Preferred qualifications
- Deep GPU knowledge beyond standard Kubernetes (e.g., NCCL)
- Cloud storage expertise managing high-performance data products (like VAST) across multiple data centers and handling datasets and checkpointing at scale
Benefits
- Top-tier compensation: Salary and equity structured to recognize and retain talent globally
- Stock options
- Comprehensive medical, dental, vision, and life insurance, with an annual wellness allowance
- Lunch and dinner provided in the office daily
- 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys
- Unlimited paid time off in the U.S. and 30 days in the U.K.
- Visa sponsorship support
- Regular off-sites, happy hours, and team celebrations
Skills
- Kubernetes
- NCCL
- VAST
