Top Remote Python Jobs in San Diego, CA

Lead the design and implementation of end-to-end quality systems and testing frameworks. Own multiple testing layers (unit, integration, E2E, contract, performance, chaos), integrate automated tests into CI/CD, drive load/performance testing and monitoring, troubleshoot failures, apply AI tooling to improve workflows, and collaborate with engineers, PMs, and designers to improve coverage and reliability.

Lead design and implementation of real-time, event-driven data ecosystems powering personalization. Define self-service data infrastructure, governance, and architecture standards. Provide cross-team technical oversight, mentor engineers, ensure production reliability and cost optimization, participate in deployments and on-call, and collaborate on roadmaps and OKRs.

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.

Lead full‑stack development of microservices-based case management and workflow automation for DoD systems. Build REST APIs, responsive front ends, CI/CD pipelines, and cloud IL2–IL5 deployments while ensuring DISA STIG/RMF compliance, data protection, performance optimization, automated testing, Agile delivery, documentation, mentoring, and Tier 3 support during critical incidents.

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.

Build and own foundational data infrastructure for Member Marketing and Coverage Eligibility: define data contracts, ensure identity and lineage, implement observability and reconciliation, modernize file/API integrations, design for correctness and auditability in regulated workflows, and lead cross-functional delivery and technical standards.

Lead modernization and automation of infrastructure, migrate services to AWS serverless, build developer tooling (including AI-agent workflows), maintain WordPress backends, design secure highly available systems, troubleshoot complex issues, and provide rotating 24/7 on-call support.

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.

Lead development and maintenance of large-scale distributed systems and software platforms; design, test, deploy, and optimize applications used by physicians and patients; manage EDI analysts; collaborate with cross-functional teams to deliver technical solutions, monitor reliability, and drive system scalability and performance.

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.

Develop and deploy ML-based perception algorithms for robotics, optimize pipelines, and collaborate across disciplines for integration.

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

The role involves developing AI-driven compiler technologies, optimizing workflows, integrating learning systems, and collaborating on next-gen compiler capabilities for improved performance.

The role involves developing cloud-native database solutions, particularly focusing on autoscaling functionality, and collaborating with various teams to enhance cloud infrastructure and performance.

The Staff Software Engineer will design and operate high-integrity financial systems including ledgering, transaction processing, and money movement while ensuring system correctness and resilience.

The Senior Principal Energy Storage DevSecOps Solutions Engineer will design and operate backend services, write production code in Python, and manage cloud infrastructure in AWS, emphasizing automated workflows and CI/CD pipelines.

The Staff Software Engineer will design and operate financial systems involving ledgering, transaction processing, decisioning, and money movement, ensuring correctness and reliability while mentoring engineers and improving system resilience.

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.

Build information-rich legal data visualizations using JavaScript, React, D3, and SVG. Use Python and Pyramid to retrieve and prepare data. Design for accessibility and usability, integrate new legal content with subject-matter experts, collaborate with frontend/back-end and NLP engineers, and participate in code reviews. Provide a portfolio of reviewable code samples.

As a Deployed Customer Engineer, you serve as a technical partner, implementing Couchbase solutions and collaborating with customers to achieve technical milestones and business outcomes. Responsibilities include coding, database architecture design, and troubleshooting deployment challenges.

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.