Top Remote Linux Jobs in San Diego, CA

Lead end-to-end platform architecture across frontend, backend, data pipelines, and AI agent layers. Define standards, build shared enablers, contribute code and reviews, ensure reliability, observability, and HIPAA-compliant handling of PHI, align data architecture on AWS/Databricks, document designs, reduce technical debt, and mentor engineers to raise architectural quality.

Join a development team to take ownership of test automation. Build and run automated UI and API tests using Selenium or Cypress, follow Agile practices, and ensure product quality across UI/UX and REST endpoints.

Develop and maintain Java-based applications using Core Java (Java 8), Spring Boot and Spring JPA. Work with collections, multithreading, and SQL to build robust, concurrent back-end services. Remote role for experienced engineers.

Implement, customize and develop Salesforce solutions (primarily Financial Services, Sales and Marketing Clouds). Build integrations and custom web services, support product owners on requirements and architecture, perform code reviews, maintain platform quality, coach junior engineers, and log/manage incidents in an Agile team.

Lead and manage software engineering teams to design and implement scalable, secure web and data architectures. Drive technology strategy, develop roadmaps, prioritize investments, hire and mentor engineers, and ensure high data quality, monitoring, SLAs, and cross-functional collaboration.

Design, deploy, and maintain Office/Microsoft 365 and Azure AD environments, lead Microsoft 365 projects, coordinate IT staff, support end-users and vendors, perform on-prem and cloud maintenance, and participate in client meetings and on-call rotations.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Build and ship high-quality product features, design robust architectures, lead technical execution, collaborate on product roadmap with leadership and GTM, and take projects end-to-end from planning through CI/CD and productionization.

Build and ship end-to-end features for a restaurant operating system, lead architecture and technical execution, define product roadmap with cross-functional teams, and maintain high-quality CI/CD and productionized systems.

Founding ML Performance Engineer will write custom CUDA kernels, optimize end-to-end model inference for sub-50ms latency, drive 10x stack performance (memory bandwidth, kernel fusion, scheduling), implement zero-copy multi-GPU/multi-node memory, own GPU utilization and memory management, profile and benchmark pipelines, and build performance tooling and standards.

Design and own a cloud-native, low-latency platform for real-time, stateful AI inference and live video generation: manage GPU-heavy Kubernetes clusters, observability, autoscaling, security, and platform primitives while collaborating with ML teams and mentoring engineers.

Founding SRE responsible for defining reliability culture, SLOs, observability, incident response, on-call processes, capacity planning, and automation across a distributed GPU inference platform.

Administer, secure, tune, and manage lifecycle of enterprise Oracle databases supporting mission-critical DoD applications. Implement STIG-compliant security, backup/recovery, CI/CD-integrated migration scripts, cloud-based Oracle support (AWS), and database modernization alongside DevSecOps and Agile teams.

Lead QA and testing for a DoD software modernization program: plan and execute manual and automated tests (functional, regression, integration, security, performance, accessibility), develop automation frameworks, manage defect lifecycle, support RMF and accreditation, validate WCAG and security findings, report metrics, and collaborate with Agile teams and stakeholders to ensure release quality.

Build and integrate Python-based services, adapters, and operator-facing interfaces for USV autonomy. Connect sensors (GPS/IMU, AIS, radar), support simulation/replay, work with containerized deployments and messaging systems, troubleshoot distributed stacks, and produce tests and runbooks for mission concept demonstrations.

Develop and integrate Python-based services, adapters, and tooling to connect USV sensors and platform telemetry to operator-facing interfaces. Support simulation-driven demos, real-time data streams, containerized deployments, messaging systems, and end-to-end troubleshooting to deliver reliable mission software for uncrewed surface vessels.

As a Senior Solutions Architect, you will design API solutions for strategic merchants, lead technical presentations, and collaborate with internal teams to address fraud and data challenges.

Lead the design, standardization, security, and operation of a hybrid network platform (AWS and on-prem). Own AWS networking, Palo Alto firewalls, Terraform IaC, observability, ZTNA/SWG deployment, and team coordination while driving automation, self-service, and platform reliability.