Top Remote Software Engineer Jobs in San Diego, CA

Design, build, and ship native Android features in Kotlin for BJAK's AI Neobank app. Integrate backend APIs, improve performance, reduce crashes, collaborate with product/design, use analytics to iterate, and add on-device AI where it improves UX.

Build and maintain low-latency connectivity APIs and integrations with crypto exchanges, OTC desks, brokers, and other trading venues. Develop order routing, trade execution, and real-time data ingestion systems using REST, WebSocket, and FIX. Monitor connections and data pipelines, improve reliability and observability with Grafana and Prometheus, collaborate on exchange onboarding, and create automated tests for production readiness.

Develop and maintain high-quality Android applications across their full lifecycle. Responsibilities include writing reusable code, creating unit and UI tests, debugging and optimizing performance, monitoring stability with Crashlytics and ANR reports, implementing analytics tracking, supporting feature rollouts and A/B testing, maintaining legacy apps, and collaborating with Product, QA, Backend, and Design teams.

Develops and maintains ServiceNow ITSM applications, workflows, integrations, Service Catalog, and CMDB capabilities. Leads sprint development, testing, demonstrations, UAT, stakeholder acceptance, secure coding, release documentation, and platform change processes. Implements customer-confirmed ticket closure workflows, supports Service Portal and analytics integrations, mentors developers and testers, and maintains technical standards. The hybrid Quantico role supports a government IT program and requires active Secret clearance, U.S. citizenship, and up to 10% travel.

Administer and develop SharePoint and Power Platform solutions, including sites, forms, workflows, apps, reports, dashboards, migrations, and automations. Gather requirements, design and test solutions, troubleshoot issues, maintain documentation, provide technical support and user training, and communicate directly with clients. The role requires adherence to governance standards, independent testing, and delivery of customer-focused solutions.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.

Design, build, deploy, and operate scalable backend platform services and shared libraries. Contribute to architecture, reliability, developer experience, continuous delivery, monitoring, alerting, and incident response. Investigate production issues, implement lasting fixes, participate in technical reviews, mentor engineers, and collaborate cross-functionally to deliver business value. The role also encourages thoughtful use of AI tools to improve productivity.

Provides technical leadership across teams by setting direction for complex systems, leading architecture and design, resolving ambiguous high-impact problems, and improving scalability, reliability, security, observability, developer experience, and engineering effectiveness. The role partners with product and engineering leaders, contributes hands-on to critical projects, mentors engineers, and influences outcomes without direct management authority.

Build, patch, customize, and test Linux userspace packages for Rocky Linux products. Remediate CVEs, improve package-building automation, develop automated system tests, and support deployments across servers, virtual machines, and cloud infrastructure. Collaborate on architecture, proofs of concept, documentation, capacity planning, and launch reviews while contributing to open-source development and CI/CD practices.