Top Remote Python Jobs in San Diego, CA

Lead mobile QA strategy for iOS and Android: design and scale automation frameworks (Appium, Espresso, XCUITest), integrate test suites into CI/CD, test on real devices via BrowserStack, perform API and exploratory/manual testing, analyze defects, and mentor junior QA engineers to ensure performance, stability, and excellent UX.

Lead mechanical systems design for industrial thermal-fluid equipment from concept through fabrication and field support. Create and review P&IDs, CAD models, specs, and vendor engagements, improving operability, reliability, and cost while working across disciplines and with suppliers and fabricators.

Build and maintain the AI-powered learning platform across a TypeScript/React frontend and Python/FastAPI backend. Integrate LLMs for classification, extraction, personalization, and conversation practice. Design scalable APIs, develop real-time interactive features, apply AI-assisted development workflows, write well-tested code, and collaborate with product, design, and education teams to optimize learning experiences and A/B tests.

Design, implement, and maintain Atlassian/ALM toolchains and CI/CD build/deployment environments. Administer systems (Linux/Windows), version control (Git), DevOps practices, and support database deployment/tuning. Collaborate on Agile teams and automate deployments using CI/CD tools.

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

Develop and optimize detection, tracking, and multi-sensor fusion algorithms (Kalman/particle filters, multi-target tracking) for resource-constrained UAVs. Train and deploy neural networks for ATR, design distributed swarm fusion, validate against flight data and simulation, and optimize models for real-time edge inference. Travel up to 25% for tests.

Build and scale backend services for identity, access control, secure content sharing, and data access. Contribute to Dgraph internals, collaborate with platform and infrastructure teams, drive architecture and permissions models, and write high-quality Go and Python code focused on reliability, security, and performance.

Lead design and implementation of scalable backend services and member-facing APIs using Python/Django, PostgreSQL, BigQuery/dbt and GCP. Own infrastructure as code (Terraform), container orchestration (Docker, Kubernetes), async/event-driven systems, observability, and performance tuning. Mentor engineers, collaborate with Product and Data teams, and ensure secure, low-latency, AI-driven member experiences.

Lead technology vision, strategy, and execution for the company. Oversee R&D goals, architecture, development timelines, budgets, regulatory compliance, and mentor engineering teams. Drive delivery of consumer-focused products, stay on technology trends, and support deployments across web, data, realtime, and AI/ML systems.

Lead QA automation efforts: design test strategies and architecture, build automation frameworks for front- and back-end, integrate tests into CI/CD, mentor QA team, evaluate tools, run performance testing, define quality KPIs, and ensure product release quality.

Owner of end-to-end full-stack features with primary focus on elite Angular/TypeScript frontends. Build real-time UI components (WebSockets/SSE), enforce feature-domain driven Angular architecture, harden API integrations and auth (JWT/OpenID Connect/OAuth2), optimize performance and i18n, and develop high-concurrency backend microservices (Python/FastAPI/Django). Use autonomous coding agents to accelerate and maintain code quality.

The HPC Engineer will manage HPC software, support customers, optimize performance, advocate for customer needs, and innovate automation solutions.

Own and improve end-to-end release processes for iOS and Android: manage branches, versioning, build promotion, app store submissions, rollouts, hotfixes, and rollbacks. Coordinate release readiness, lead go/no-go decisions, troubleshoot build/signing/submission issues, monitor release health, automate release tasks, and maintain release documentation and runbooks.

Design, test, and validate next-generation server hardware and components for performance, power, and reliability. Diagnose and resolve hardware issues across engineering and manufacturing, document results, and develop/maintain test scripts. Collaborate with internal teams and OEM/ODM partners to scale platforms for global deployment.

Deploy, maintain, and automate application infrastructure on GCP using Kubernetes, Docker, Helm, ArgoCD, and Terraform. Build automation pipelines, support and troubleshoot in-house and third-party apps, document processes, and participate in on-call rotation.

The Deployed Engineer will build demos and POCs, support customer questions, manage technical relationships, update documentation, and collaborate with engineering to drive customer success.

Seeking an experienced Frontend Engineer to enhance user experience for multimodal data management applications. Responsibilities include optimizing user interfaces, collaborating with designers, and building scalable backends.

As a Software Engineer, you'll develop and deploy software for cyber defense, handle digital twin model construction, and perform site reliability operations.

Lead full‑stack development of complex research platforms, set technical direction and architecture, integrate data pipelines and evaluation frameworks, mentor engineers, promote AI-assisted engineering practices (e.g., Claude Code), assist hiring/onboarding, and represent technical work across teams to deliver scalable, secure software for digital safety research.

Lead design, implementation, and delivery of software via CI/CD; maintain and optimize applications; drive architecture, code reviews, testing, security, and PCI DSS compliance; mentor engineers and lead scrum team activities.

As a Database & Infrastructure Engineer, you will optimize PostgreSQL infrastructure, improve performance, build internal tools, and design data delivery pipelines for a large-scale application.

Own the operational lifecycle of cloud-native data infrastructure: design and automate reliable deployments, observability, incident response, SLIs/SLOs, autoscaling and IaC, and improve platform efficiency and data freshness across GKE and Cloud Run.

Lead mission readiness and performance across the Mission Foundry lifecycle: define V&V campaigns, streamline AI&T workflows, analyze on-orbit telemetry, improve autonomy and fault management, feed performance data into design iterations, and support internal tooling roadmaps to scale spacecraft production and operations.

Lead mission formulation and architecture for EO/IR and persistent infrared/MW missions. Perform mission-level analyses, define requirements and top-level budgets, design payloads and constellations, run trade studies using software/code, and coordinate with instrument, engineering, and science teams to deliver cost-effective space mission solutions.

Lead mission formulation and architecture: develop mission concepts from customer needs, perform mission-level analyses and top-level budgets, define requirements and design for spacecraft and RF/optical instruments, run engineering trade studies using code/tools, evaluate constellation configurations, and coordinate across disciplines.