Potential starting salary range: $123,000 - $142,000. Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.
Potential yearly incentive pay up to 15% of base salary
Responsibilities
Bring federated GraphQL expertise to the team: entity design, schema composition and evolution, and patterns other domains can follow.
Design the Policy GraphQL schema with architects and data model stewards.
Work closely with partner teams: architecture, consuming domains, policy administration system teams and the GraphQL platform team.
Build federated subgraphs that read close to the source: straight from databases, policy administration system APIs, or a read model we own.
Own performance against p99 targets: load test, profile and tune.
Own the data layer that underpins every product surface, designing and executing a robust, multi-database storage architecture for SpaceXSI.
Compensation
The annual compensation range for this role is listed below.
Annual Salary:
$140,000 - $225,000 USD
Responsibilities
Design the next-generation data architecture: evolving our storage layer into a partitioned, resilient topology that keeps pace with SpaceXSI's rapid growth
Build query attribution and guardrails: instrumenting every database query by service, catching bad patterns before they hit production, and making it impossible to ship problematic queries without review
Define the "when to use what" strategy for data stores: creating clear guidance and golden pathways so every team picks the right engine for their workload without second-guessing
Own cache infrastructure end-to-end: reliability, capacity planning, and patterns that let product teams move fast without worrying about cache correctness
Lead architect and operator of the data layer for a vertically integrated AI cloud, managing worldwide storage environment and influencing vendor roadmaps.
Compensation
Compensation will be paid in the range of up to $215,000 - $255,000 + Bonus. Restricted Stock Units are included in all offers.
Responsibilities
Evaluate performance of block, file, and object storage systems
Design and execute PoC exercises
Own bring-up, configuration, and performance tuning of large enterprise arrays
Collaborate with Compute and Networking teams to build cloud infrastructure
Lead technical evaluation of new storage technologies
Lead architecture and development of next-generation CLM platform components, build high-scale identity ingestion pipelines, drive roadmap delivery, collaborate with cross-functional teams, mentor engineers.
Responsibilities
Lead architecture and development of next-generation CLM platform components
Build high-scale identity ingestion and processing pipelines
Drive roadmap delivery across ACME v2, SPIFFE/SPIRE integration, Kubernetes/service-mesh discovery
Collaborate with Product, SRE, Security, VMDR, and TotalCloud teams to ship resilient, production-ready features
Mentor engineers on design, performance, distributed systems, and secure coding for PKI/identity systems
Requirements
Bachelor’s degree or higher in Computer Science (or related field)
Design and scale real‑time dispatch and matching platform for Uber’s global marketplace.
Locations (3)
San Francisco, California, United States
Seattle, Washington, United States
Sunnyvale, California, United States
Compensation
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
Responsibilities
Design and scale distributed, fault‑tolerant services
Modularize platform with domain‑driven abstractions
Senior Full Stack Engineer to design and build integrations between agents and external sources, package them as tools, and evolve orchestration for multi-step agent workflows.
Compensation
$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Design and build integrations between agents and external sources
Package integrations as agent-callable tools
Own production concerns for data trustworthiness
Build and evolve orchestration for multi-step agent workflows
Contribute across the stack including FastAPI, React, Postgres, Docker
Requirements
BS degree with 8 years professional experience
Associates degree with 10 years professional experience
MS degree with 6 years professional experience
High school diploma/equivalent with 12 years professional experience
Hands‑on software engineer with strong system design skills, deep server‑side engineering experience, and the curiosity to work across a complex enterprise platform.
Compensation
The pay range for this opportunity is from $179,127 to $234,100 + benefits. This range represents the anticipated low and high end of the salary plus bonus for this position.
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