Top Remote Python Jobs in San Diego, CA

Lead verification testing for high-speed coherent and direct-detect photonic components and subsystems. Design test plans/algorithms, execute module performance validation, and collaborate with PIC, ASIC, module, and system teams to ensure quality product releases.

Own and improve the end-to-end developer experience for AIMS ML teams: local/remote dev environments, build/test infrastructure, CI/CD, and internal platforms. Design, build, and operate large-scale build and CI systems, remove developer friction, instrument workflows, drive adoption, and set technical standards. Partner with ML researchers to prioritize productivity investments and evaluate/integrate GenAI-powered developer tooling with safety guardrails.

Design, build, and maintain FinOps tooling, data pipelines, dashboards, and automation to improve cloud cost visibility, allocation, and optimization across Azure, AWS, and GCP. Support budgeting, variance analysis, anomaly detection, and executive reporting. Collaborate cross-functionally to implement tagging, chargeback/showback, governance, and AI-enabled automation while documenting operational processes for scalable FinOps practices.

Own and scale the search, indexing, and data-scanning infrastructure for petabyte-scale data. Optimize hybrid lexical and vector retrieval for sub-second latency, design cost-effective hot/warm/cold data tiering and massive asynchronous scans, drive down latency and cost, and provide technical leadership for resilient, highly available indexing and retrieval systems.

Build and maintain developer platform tooling that ensures SIL-4 safety compliance: automation for certification evidence, CI/CD improvements, Bazel build maintenance, lightweight web dashboards, developer workflow automation, monitoring, and on-call support.

Own and improve uptime for backend services, APIs, workers, and ML pipelines; build monitoring, alerting, auto-remediation, optimize GCP infrastructure and Postgres performance, run on-call rotation and blameless postmortems.

Design and build backend services, APIs, SDKs, and user-facing systems enabling secure agent-to-agent financial interactions. Implement cryptographic identity, payment workflows, transaction processing, reputation tools, and scalable infrastructure for AI-native financial products.

Serve as the primary technical owner working onsite with enterprise customers to design, build, and deploy secure AI-agent integrations. Architect and ship full-stack features (APIs, SDKs, apps), configure identity and credentialing, drive end-to-end deployments, troubleshoot legacy financial systems, and feed field learnings into the product roadmap to ensure reliable, auditable autonomous agent operations.

Lead the Technical Art discipline: design and deliver character rigs, pipelines, and tools; manage and mentor tech artists; optimize performance across PC and consoles; build workflows, documentation, and cross-team collaboration to support production and prototyping.

Develop platform driver code, perform diagnostics testing, collaborate with hardware engineers, and support system deployment in AI datacenters.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

The Staff Software Engineer will enhance developer productivity by designing tools, automating workflows, and mentoring teams on best practices in developer experience.

The Senior DevOps Engineer ensures uptime, availability, and performance of the BrightEdge S3 platform, maintaining cloud infrastructure and automating operations.

Seeking a Senior Backend Engineer for a payment modernization project, focusing on API integrations, payment routing logic, and payment orchestration systems under the CTO's guidance.

Design, develop, test, and debug features for autonomous construction equipment while optimizing controls systems and maintaining code quality standards.

Lead the design, development, and deployment of autonomous systems for heavy construction equipment while mentoring engineering teams and improving system performance.

Design and develop full-stack applications for controlling autonomous construction robots, including backend services and front-end interfaces. Collaborate in rapid deployment cycles.

The Software Test Engineer will design, implement, and maintain test frameworks for back-end services, ensuring product quality through test case creation and automation, and collaborating with cross-functional teams.

Design, build, and operate AI-native automations and integrations across GTM systems (Salesforce, NetSuite, iPaaS). Develop LLM-powered agents, MCP integrations, and reusable automation patterns; own lifecycle, reliability, observability, and stakeholder collaboration for quote-to-cash and revenue workflows.

Build full-stack product features, prototype AI-enabled functionality, work directly with customers to define workflows, own projects from discovery to launch, design scalable systems and APIs, and improve reliability and developer experience.

Design and manage cloud infrastructure and applications, optimize performance, automate with IAC tools, and educate teams on best practices.

The Full Stack Engineer will design, develop, and deploy applications, build RESTful APIs, optimize for performance, and mentor junior engineers while working in Agile teams.

The Research Engineer will develop automated security analysis solutions for mobile applications and conduct research to identify security issues.

The Software Engineer will build scalable backend systems, integrate third party software, and optimize performance, aiming to enhance efficiency in the moving industry.

Design and implement cloud solutions for clients, leading teams, solving technical challenges, and utilizing modern technologies like Kubernetes and AI.