Top Remote Python Jobs in San Diego, CA

Owns and optimizes resilient, ultra-low-latency network and physical data-center infrastructure for institutional trading across cloud and on-premises environments. Designs routing, multicast, segmentation, firewall, VPN, telemetry, and automation systems. Leads production changes, incident response, failover testing, maintenance, and on-call support for 24/7 trading platforms. Mentors engineers and partners with SRE, product, and trading-system teams to improve reliability and developer velocity.

Develop and operate backend systems supporting post-transaction processing for Affirm Card. Break down projects, write tested and extensible code, collaborate with product and engineering teams, monitor system health, troubleshoot issues, participate in on-call support, and contribute to code reviews and team development.

Lead and mentor the software engineering team responsible for PSA Set Registry, a large-scale consumer web and mobile product. Drive architecture, development, delivery, code quality, release management, production troubleshooting, and technical strategy. Partner with product, design, and business teams to translate requirements into scalable solutions while promoting agile practices, collaboration, continuous learning, and an inclusive engineering culture.

Research intern supporting next-generation memory and system architecture development for AI and datacenter workloads. Responsibilities include characterizing AI training and inference workloads, building analytical and simulation performance models, evaluating memory and integration technologies, validating models against reference data, and producing performance, efficiency, and cost analyses. The intern will document findings, contribute to technical reports and invention disclosures, and help quantify architectural tradeoffs for future memory products.

Lead technical strategy, build and maintain software systems using AI, mentor early-career engineers, collaborate across disciplines, and protect user privacy and security. The role involves developing scalable systems on AWS and Kubernetes while working with healthcare data and adhering to HIPAA and data-security best practices.

Investigate autonomous-vehicle safety issues through large-scale telemetry and time-series analysis. Integrate vehicle, incident, software-release, location, and operational data into analysis-ready datasets; perform root-cause investigations; distinguish data-quality problems from meaningful outliers; and communicate rigorous findings to safety, operations, and engineering teams. Develop reusable metrics, detection methods, pipelines, and analytics tooling using engineering and physics-based signal-processing techniques.

Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Design, build, and operate backend services for Bestow’s insurance platform using Python, Go, Java, and PostgreSQL. Collaborate on technical decisions, integrations, carrier onboarding, and scalable platform capabilities. Mentor engineers through reviews and pairing, improve production reliability and observability, participate in on-call support, and communicate technical decisions in a remote-first environment. Use agentic AI coding tools daily and help establish effective AI-assisted development practices.

Administer hybrid Windows Server infrastructure across colocation, on-premises, Azure, and GCP environments. Manage virtual machines, cloud resources, patching, upgrades, backups, monitoring, alerts, incident response, vulnerability remediation, and root cause analysis. Develop automation using PowerShell, Python, Ansible, and infrastructure-as-code tools for provisioning, remediation, and self-healing workflows. Maintain documentation and runbooks while collaborating with engineering, IT support, security, and operations teams.

Owns delivery of backend money movement and card ledger systems, leading engineers through complex problems and ambiguity. Collaborates with product, design, analytics, and engineering stakeholders; defines scalable technical solutions; supports system availability, monitoring, on-call operations, code quality, and engineering standards. The role also includes mentoring and developing team talent while building highly available distributed systems for Affirm’s financial products.

Define the technical vision and multi-quarter strategy for Coinbase’s FinHub financial infrastructure. Architect scalable ledger and money-movement primitives across fiat and crypto, ensuring double-entry accounting, idempotency, reconciliation, auditability, reliability, and safe failure recovery. Lead complex cross-team architectural initiatives, collaborate with finance, risk, compliance, and operations stakeholders, and mentor senior engineers while improving system design and operational excellence.

Leads more than 10 engineers across Agent Tools, Agent Observability, and Runner Execution. Responsibilities include hiring, coaching, prioritization, technical design, AI tool standards, safe agent execution, sandboxing, observability, and cross-functional partnership across GitLab’s AI organization.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Leads the data infrastructure platform team responsible for production services supporting batch, streaming, analytics, and machine learning workloads. Oversees people leadership, platform strategy, reliability, security, scalability, cost efficiency, incident response, roadmap execution, and cross-functional collaboration. Builds self-service developer experiences, standardized CI/CD, observability, infrastructure automation, and service ownership practices across Airflow, Flink, Spark, Kafka, Snowflake, Iceberg, AWS, and ML platforms.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Perform FEA and hand calculations to evaluate and optimize UAV airframe structures. Conduct static, modal, fatigue, and vibration analyses, support structural test planning and data correlation, define loads and material properties, and produce structural analysis reports while collaborating with cross-functional engineering teams.

Lead and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.

Lead and grow a small autonomy engineering team to design, integrate, validate, and field autonomy software for launched effects. Own delivery, hiring, mentoring, technical direction, ICDs, pre-deployment validation, live test support, hardware/software debugging, and cross-team collaboration for multi-agent and air-gapped fleet deployments.

Lead integration and validation of the Hivemind autonomy stack across simulation, HIL, and flight platforms. Configure sensors, drivers, communication interfaces, and platform adapters; develop integration tooling and CI/CD; analyze logs/rosbag to triage defects; collaborate with engineering and product teams to ensure interoperability, release readiness, and end-to-end system compliance.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.