Top Remote Python Jobs in San Diego, CA

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.

The Energy Engineer evaluates energy savings opportunities, analyzes utility data, oversees MBCx workflows, and delivers technical reports and presentations.

The Senior Network Engineer will design, manage, and optimize large-scale data center networks for AI workloads, ensuring reliability and performance.

Lead multi-year technical vision and architecture for Payments, Scheduling, Forms, RCM and mobile platforms. Drive cross-team solutions, evaluate build-vs-buy, mentor senior engineers, set company-wide engineering standards, and ensure scalability, reliability, and observability for high-throughput distributed systems.

Design and implement production-grade VLSI/EDA tools and methodologies for multi-die package design. Build flows, applications, and automation to construct, analyze, validate, and optimize package designs to accelerate tape-out and scale engineering teams.

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.

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%.

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.

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

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 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.

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.

Own backend and AI infrastructure for autonomous trading agents. Build the Go-based agent runtime, execution and data layers, real-time trading systems, deployment platform, model hosting migration, telemetry, CI/CD, monitoring, and incident response. Develop production services primarily in Go, Python, and TypeScript while operating AWS EKS infrastructure. The role requires end-to-end ownership of reliable, low-latency systems managing real-time trading and financially sensitive positions.

Manage AWS cloud infrastructure, CI/CD pipelines, Terraform-based infrastructure, containers, monitoring, and operational automation. Administer Microsoft 365, Entra ID, Intune, Windows, and macOS devices. Support onboarding, offboarding, remote technical issues, identity and access management, IT assets, documentation, security standards, and incident troubleshooting while collaborating with engineering, security, operations, and vendors.

Designs, implements, secures, and supports hybrid enterprise networks across Azure, AWS, on-premises data centers, offices, and remote locations. Responsibilities include cloud connectivity, routing, switching, firewalls, VPNs, monitoring, troubleshooting, Zero Trust controls, high availability, disaster recovery, and Infrastructure as Code automation. The engineer leads migration and modernization initiatives, coordinates with vendors, supports office deployments, documents network environments, participates in on-call support, and mentors junior staff.

Leads and develops software engineers through mentorship, feedback, hiring, and career growth. Partners with product and design to deliver secure, scalable, reliable features; guides architecture and engineering best practices; improves processes, velocity, and execution; and translates customer and business needs into technical roadmaps. The role requires hands-on leadership in a high-growth startup environment and ownership of engineering culture, performance, reliability, and talent development.

Develop data integration, health information exchange, and IRIS application solutions for healthcare and other clients. Responsibilities include designing robust distributed applications, defining project specifications, selecting implementation strategies, collaborating directly with clients, and contributing to large-scale InterSystems IRIS and HealthShare implementations. Strong communication and software development skills are essential, with healthcare IT and healthcare data integration expertise highly valued.

Develop and maintain C/C++ swarm autonomy code for ground stations and drones, implement swarming algorithms and communications protocols, extend Python web services, collaborate on architecture, and support field testing and demonstrations.

Build and scale a growth data platform: design queues and workers for enrichment, routing, assignment, and activation; integrate CRM, ads, intent, and enrichment vendors; convert experiments into reusable platform primitives; and debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream systems.

The Staff Research Engineer - Code will lead the creation of datasets and reinforcement learning environments for coding agents, collaborating with AI labs to influence model improvements and operational excellence, while managing a technical team.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.