Top Remote Python Jobs in San Diego, CA

Design, build, test, and continuously deploy scalable infrastructure and platform tooling. Create technical specs and rollout plans, collaborate with stakeholders, mentor teammates, support services in production, and shape engineering practices across teams.

Design, build, test, and maintain scalable web applications. Create responsive UIs with Angular or React (TypeScript), implement Python/Flask backends and RESTful APIs, design relational schemas, troubleshoot production issues, perform code reviews, and mentor junior developers.

Lead and grow an 8-10 person engineering team to design, build, and operate a multi-cloud data plane platform. Drive roadmap, delivery, release readiness, operational excellence, CI/CD, observability, incident management, and cross-functional partnerships with Product, Security, Infrastructure, and SRE.

Deploy, manage, validate, and optimize large-scale AI compute and HPC infrastructure in Linux environments. Serve as a technical liaison among NVIDIA, partners, and enterprise customers; lead planning through implementation, document handoffs, transfer knowledge, troubleshoot hardware and software, and provide feedback for product and architecture improvements. The role involves networking, system design, automation, benchmarking, cluster provisioning, and customer-site travel up to 30%.

Designs and delivers scalable software, data, and cloud solutions for client and internal projects. Translates requirements into technical designs, owns engineering workstreams, troubleshoots systems, integrates APIs and data pipelines, and communicates with technical and non-technical stakeholders. Collaborates with architects, project managers, and clients while maintaining engineering, security, testing, documentation, and quality standards in agile environments.

Design, architect, build, and scale reliable backend systems operating at Internet scale. Develop distributed, event-driven applications; design RESTful APIs and NoSQL data solutions; deploy cloud and serverless applications; containerize services; and establish CI/CD pipelines. The role emphasizes software development best practices, testing, clean architecture, reliability, scalability, and potential Open-Source Intelligence community experience.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.

Lead the architecture and development of scalable backend APIs for music catalog, search, recommendation, personalization, and user interaction. Design data models, integrate third-party metadata and streaming services, optimize performance, implement observability, and ensure reliability. Establish engineering standards, review code, mentor developers, evaluate technologies, and collaborate with product, frontend, and data teams. The role requires extensive backend experience and expertise across cloud platforms, deployment, databases, caching, messaging, and CI/CD.

Supports the design and progressive ownership of Azure-based SaaS integrations, centralized data repositories, automated ETL/ELT pipelines, Power BI data models, and secure cloud workflows. Develops automation using Python, JavaScript, and JSON; troubleshoots APIs and authentication issues; documents integration processes; and collaborates with stakeholders. The role is intended for an early-career cloud engineer who will grow toward independently managing cloud data architecture and integration solutions.

Design and build RL post-training infrastructure for AI, optimizing training-inference-rollout on distributed systems while ensuring fault tolerance and scalability.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Build and operate internal IT systems across identity, endpoints, Google Workspace, Slack, SaaS governance, and automation. Own Okta access engineering, Workspace ONE macOS fleet management, lifecycle workflows, compliance controls, audit evidence, and technical escalations. Partner with Security, Engineering, People, and Finance to improve security, reliability, and scalability while reducing manual IT support through automation.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Own identity and access engineering in Okta, macOS endpoint management in Workspace ONE, Google Workspace and Slack administration, SaaS governance, and IT automation. Build onboarding, deprovisioning, access reporting, device compliance, and audit-evidence workflows. Serve as a technical escalation point for identity, endpoint, access, and internal infrastructure issues while translating security and compliance requirements into durable IT controls.

Build and maintain scalable, highly available payments risk systems that detect, mitigate, and resolve fraud and other malicious activity. Develop service-oriented APIs, real-time risk services, vendor and payment-network integrations, monitoring, and alerting. Collaborate with product managers, data scientists, operations, and engineering teams to evolve risk strategies, deliver product features, conduct experimentation, and maintain high engineering standards.

Build high-fidelity wireless network models in Spacetime, develop Python or Go adapter layers, create Protobuf/JSON/gRPC data schemas, perform link-budget and propagation analyses, and support live customer networks as a tier-three escalation lead. Collaborate with product and software engineering teams to convert custom integrations into reusable features. The role requires software engineering fundamentals, physical-layer communications knowledge, system modeling experience, and at least three years of engineering experience.

Designs, executes, and analyzes orbital maneuvers; monitors satellite orbits and pointing performance; generates precise ephemerides; develops automated satellite maintenance tools; supports Space Situational Awareness; and assists with launch commissioning, tracking strategies, communications, and subsystem calibration.

Leads the Engineering organization across two remote teams, directly managing, coaching, and developing engineers. Partners with Product to drive timely, high-quality delivery; staffs initiatives, develops technical leads, resolves cross-team risks, supports hiring, and contributes to architecture, technical debt, and scaling decisions. The role oversees execution, engineering process, quality, and team engagement while guiding a high-scale SaaS platform built with TypeScript, Python, Django, React, AWS, Postgres, and Redis.

Leads engineering managers and software teams building customer-facing front-end applications and internal and external APIs. Sets technical direction, oversees delivery, manages risks and dependencies, improves engineering quality and security, develops talent, supports hiring, and partners with product and design. The role drives innovation and scalable software solutions for connected vehicle and fleet operations.

Deploy and operate scalable, highly available cloud systems; improve application and network security, reliability, speed, and capacity; automate cloud deployments; monitor and troubleshoot services to meet SLAs; analyze logs and events; and resolve infrastructure issues across large-scale cloud infrastructure.

Designs, develops, and maintains infrastructure for ML pipelines and CI/CD. Analyzes infrastructure performance, collaborates with data and software teams, manages feature stores and model registries, writes maintainable code, and documents technical processes. The role requires experience with cloud, big-data, programming, workflow orchestration, version control, and continuous integration technologies.

Deploy and operate scalable, highly available cloud systems; improve application and network security, reliability, speed, and capacity; automate cloud deployments; monitor and troubleshoot services to meet SLAs; analyze logs and events; and resolve infrastructure issues across large-scale distributed systems.

Develop and deploy automated system tests for distributed software environments. Collaborate with developers and QA teams, create test plans, verify requirements and coverage, troubleshoot features, improve testing methodologies, and solve large-scale automation and verification problems using software development and related internet technologies.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.