Member of Technical Staff - Engineering Lead, Shared Services

Reflection AI
San Francisco, London, New York
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceSkills: ["Technical judgment","Prioritization","Communication","Execution"]

Lead the Shared Services team that powers Reflection’s research, training, and production environments. Own the build-out and scaling of distributed systems for sharding, replication, coordination, and high-concurrency correctness, while guiding reliability practices like SLI/SLO design, on-call health, and tail-latency optimization. Manage day-to-day execution, mentor systems engineers, and partner with research and training teams to turn their needs into durable platform primitives.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Reflection AI
Reflection AI
1 month ago

Member of Technical Staff - Engineering Lead, Shared Services

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Lead the Shared Services team that powers Reflection’s research, training, and production environments. Own the build-out and scaling of distributed systems for sharding, replication, coordination, and high-concurrency correctness, while guiding reliability practices like SLI/SLO design, on-call health, and tail-latency optimization. Manage day-to-day execution, mentor systems engineers, and partner with research and training teams to turn their needs into durable platform primitives.
Location: San Francisco, London, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Build, mentor, and grow a high-performing team of systems engineers.
  • •Provide front-line leadership to build and scale shared services and the distributed systems design underlying them.
  • •Stay hands-on enough with the stack to make targeted individual contributions.
  • •Manage day-to-day execution by prioritizing work and managing projects in a fast-paced environment.
  • •Guide technical and architectural decisions focused on scalability, robustness, reliability, and tail-latency under load.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityHealth InsuranceDentalVisionLife InsuranceParental LeavePaid LeaveMeal Allowance

Key Requirements

  • •Experience building, mentoring, and growing engineering teams while staying hands-on technically.
  • •Deep distributed-systems engineering experience owning production-grade systems at scale.
  • •Strong coding ability and credibility to earn technical trust.
  • •Depth in distributed systems architecture, service reliability, or the container/service platform with the ability to learn the rest.
  • •Fluency with reliability practices including SLIs/SLOs, on-call, sharding and replication, coordination services, and tail-latency optimization.
Experience:Distributed systemsPlatform engineering
Skills:Technical judgmentPrioritizationCommunicationExecution
Tech Stack:Distributed systemsSLIs/SLOsOn-callShardingReplicationCoordination servicesTail-latency optimizationKubernetesContainer

Company Brief

Reflection AI
Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedInGlassdoor