Top Remote Linux Jobs in San Diego, CA

Lead design and implementation of reliable, high-performance real-time data collection, processing, and routing for automotive edge devices. Define platform abstractions, APIs, and libraries across Linux and QNX ECUs. Drive QoS, backpressure, privacy, observability, testing strategy, and operational readiness. Partner with cross-functional teams, set technical direction, and mentor engineers to raise systems engineering quality.

Build and operate high-throughput ledger, balance, settlement, and treasury systems. Design durable ledgering APIs, ensure data contracts, run reliable distributed transaction processing, meet SLOs, debug production, use AI tooling, lead projects, and mentor engineers.

Design, build, and operate distributed ledger, transaction, settlement, and treasury systems. Develop durable ledgering APIs, emit trusted data for finance, maintain high-reliability services to SLOs, lead complex cross-team projects, mentor engineers, and integrate AI tooling across the development lifecycle.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.

Build and own a vendor schema registry and semantic validation pipeline that ingests OpenAPI/Swagger/Smithy specs, tracks schema evolution, detects semantic and breaking changes, and provides SDKs and developer tooling to safely map vendor APIs into a canonical knowledge graph used by downstream teams.

The Senior Backend Engineer II will design, build, and maintain backend services for financial workflows, collaborating with product and engineering teams to enhance system reliability and performance.

Lead development of guidance, navigation, and control (GNC) systems from concept to flight-ready software. Design and simulate algorithms, translate requirements into embedded implementations, support HIL and flight test, analyze test data, coordinate across vehicle design, avionics, structures and testing, and document results while mitigating technical risk.

Lead model-based logistics and product support engineering activities to modernize sustainment using MBE/MBPS. Prepare DoD/GEIA-compliant logistics models and deliverables, use MagicDraw/Cameo and ILS tools (COMPASS, SESAME, EAGLE, OPUS), perform analyses (LORA, MTA, spares, SERD, provisioning), develop training and best practices, and collaborate with project teams to implement MBPS across programs. Role supports remote, hybrid, or onsite work.

Serve as an ILS/IPS engineering SME driving Model Based Engineering/Product Support practices. Develop logistics models and deliverables (LORA, MTA, spares, provisioning, SERD), use MagicDraw/Cameo and common ILS tools, collaborate across disciplines, create training/best practices, and support MBPS implementation for defense systems.

Own end-to-end frontend development for core crypto payment flows across web and mobile. Improve latency, availability, and SLOs; build user-facing features (contacts, real-time transaction status); identify and fix performance bottlenecks; partner with product/design/backend; mentor junior engineers to reduce customer friction at scale.

Design, build, and own backend services for prediction markets across market lifecycle: creation, trading, oracle resolution, settlement, and payouts. Build low-latency, high-throughput microservices and event-driven systems, drive reliability via SLOs and observability, lead incident response, set technical standards, and mentor engineers while partnering cross-functionally to deliver product and compliance-aligned roadmaps.

Build and maintain multi-cloud infrastructure standards, self-service tooling, and paved-road defaults across AWS and GCP. Partner with compute, security, and networking teams to embed guardrails, drive standardization, lead cross-team initiatives, and resolve systemic operational issues to ensure secure, scalable, and reliable platform infrastructure.

The role involves overseeing SAP testing activities, mentoring junior team members, analyzing complex requirements, and ensuring high standards in deliverables.

Develop and execute UVM/SystemVerilog-based verification for AR display integrated circuits. Build assertion-based testbenches, create and run verification plans with functional and code coverage, use Siemens Questa for simulation and debug, and automate verification flows while collaborating with digital, analog, software, and verification teams.

Design and implement Android features from design through launch, optimize mobile UX and performance, perform code reviews, evaluate technical tradeoffs, and use AI tools to streamline development while maintaining security and production-quality code.

Design and scale critical, highly-available services; set technical direction across teams; apply best practices for availability, scalability, cost, and operational excellence; leverage AI tools and high-velocity workflows; mentor engineers and solve ambiguous, company-wide technical problems.

The Director of Engineering will lead platform engineering strategy and teams, enhancing developer experience, driving AI integration, and establishing governance for development practices.