Top Remote Python Jobs in San Diego, CA

Lead design and implementation of scalable, reliable platform systems; define SLIs/SLOs and observability; drive cross-team strategic initiatives; mentor engineers; own production standards, incident management, and cost/operational optimization to improve platform reliability and scalability.

Lead development and improvement of ASIC integration, build, simulation, CI, and debug infrastructure for high-speed IO GPU IP. Apply automation, metrics, and AI-assisted workflows to improve reliability, turnaround, and debuggability. Collaborate across design, verification, firmware, methodology, and infrastructure teams to root-cause failures and deliver durable process improvements.

Design, build, and maintain secure, scalable data pipelines and ML data workflows to support IRS fraud detection and compliance analytics. Collaborate with data scientists and stakeholders, troubleshoot production issues, produce documentation and briefings, and operate in restricted government environments.

Lead a software engineering team to deliver scalable, reliable systems. Own delivery, technical quality, hiring and talent development, cross‑functional collaboration, and continuous improvement across modern front-end and back-end stacks and cloud environments.

Design, build, and launch backend services to process and analyze clinical data at scale. Collaborate cross-functionally, enforce secure coding and privacy, support production systems, and drive technical improvements.

Lead RTL-to-GDS physical implementation of SoCs for space applications, perform signoff closure (STA, PV, LEC, EM/IR), debug timing, integrate mixed-signal verification, develop PV runsets and flow automation, implement DFT, collaborate with front-end and analog teams, interface with foundries, and support post-silicon validation.

Design, build, and operate a reliable, scalable developer platform and cloud infrastructure (GCP/GKE). Lead SRE practices: SLO/SLI, observability, incident response, on-call, automation, security-by-default, Terraform IaC, CI/CD, capacity planning, mentoring, and platform enablement across teams.

Design, develop, and optimize GPU- and CPU-accelerated image and data-processing libraries. Perform performance tuning, benchmarking, and optimization across architectures; collaborate with product management and partners; provide technical leadership and guidance to library engineers; and improve library performance and maintainability.

Design, build, deploy, and run large-scale infrastructure services on NVIDIA hardware. Define SLOs and observability, automate toil, participate in on-call incident response, and consult with peer teams on systems design and reliability.

Lead architecture, implementation, and optimization of Azure cloud infrastructure across multiple subscriptions. Build IaC standards and automation, mentor engineers, support mission-critical applications, improve deployment speed and cost control, monitor system health, participate in on-call rotation, and collaborate with cross-functional teams to deploy scalable, secure, production-grade systems.

The Workato Integration Architect will design and implement integrations using Workato, lead development of recipes and connectors, and collaborate with teams to define and optimize integration strategies.

Own and modernize billing systems: define plans, pricing, entitlements, usage metering, and billing APIs. Decompose monoliths into independently deployable services, ensure end-to-end correctness (reconciliation, idempotency), operate SLOs/alerting, and run on-call. Integrate with billing, CRM, and finance systems.

Design, implement, and maintain cloud infrastructure in compliance with IL5 and FedRAMP High standards, focusing on automation, security, and collaboration with security and compliance teams.

Design and lead architecture for scalable, secure cloud-native applications on GCP; define agentic AI architectures, APIs, and integration strategies; mentor teams, enforce governance, and drive DevOps, observability, and performance best practices.

Design, develop, modernize, test, and maintain data-driven software and relational databases for FAA aeronautical information distribution. Gather requirements, implement COTS integrations, troubleshoot production issues, produce technical documentation, participate in reviews, and provide technical leadership and mentoring across the software development lifecycle.

Design and develop Presidio's internal Managed Services platform and automations. Provide technical guidance and mentoring, identify automation opportunities, perform proofs of concept and pilots, collaborate on production security improvements, author technical documentation, and engage with stakeholders to capture requirements and operationalize solutions.

Lead architecture and scaling of the AV simulation engine, develop high-fidelity vehicle dynamics and multi-body physics, integrate rendering and sensor-simulation, ensure determinism and performance, own unified evaluation metrics backend, collaborate with HiL partners, lead design/code reviews, and mentor engineers.

The role focuses on developing and maintaining continuous integration systems for NVIDIA's AI software ecosystem, ensuring optimal performance and quality of software stacks.

Develop, calibrate, and validate RF propagation models for Wi‑Fi, 5G NR, and NTN; produce coverage predictions and heatmaps; perform capacity planning and throughput modeling; build simulation environments and automation tools; conduct field surveys and collaborate with RF design and systems teams.

Design, build, and maintain backend BI tooling, data pipelines, and platform features to generate operational metrics. Improve code quality, scalability, reliability, and performance; implement testing strategies; translate business requirements into technical plans; and mentor junior engineers while collaborating with product and stakeholder teams to deliver data-intensive analytics and reporting solutions.

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

Lead installation, configuration, maintenance, and support of IBM z/OS mainframe environments. Plan upgrades, perform system maintenance, troubleshoot complex incidents, optimize performance and capacity, automate operations, support resiliency and disaster recovery, coordinate with vendors and cross-functional teams, and mentor junior staff to ensure secure, highly available banking services.

Lead the cloud hosting strategy and operations to ensure 99.9% uptime, optimize cloud costs, enforce scalability and security standards (ISO 27001), maintain disaster recovery and business continuity, partner with product teams, and mentor cloud engineers to improve operational discipline and service quality.

Lead technical design and delivery for multiple product/platform areas: break monoliths into domain microservices, own full‑stack vertical slices, ensure production reliability, mentor engineers, run design reviews, manage on‑call/incident ownership, and co‑deliver AI agents integrated into dealer workflows.

Join the ROOST Osprey team to design, implement, test, and maintain a high-performance, real-time safety rules engine. Work includes building data/event pipelines, scaling and containerizing services, integrating with Kafka and gRPC, reviewing community contributions, maintaining code quality and security, and engaging with users and open source contributors to prioritize and deliver features.