Top Remote Python Jobs in San Diego, CA

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Build and ship high-quality product features, design robust architectures, lead technical execution, collaborate on product roadmap with leadership and GTM, and take projects end-to-end from planning through CI/CD and productionization.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Build and ship backend systems and robust architectures for SMB and enterprise restaurant customers. Drive end-to-end development including planning, CI/CD, and productionization. Collaborate on product roadmap, iterate from user feedback, and contribute to team culture and growth.

Build and scale backend data platforms and services for real-time loan origination and financial reporting. Lead quarterly delivery, guide engineers, define technical plans, collaborate with product and design partners, improve reliability and operational practices, monitor service metrics, participate in on-call support, uphold engineering quality standards, and mentor team members. The role requires developing highly available distributed systems and scalable data pipelines using technologies such as Python, Kotlin, AWS, MySQL, Kubernetes, Spark, and Airflow.

Leads the architecture and execution of large-scale enterprise migrations to Nutanix HCI. Assesses existing infrastructure, designs target environments, develops migration strategies, and guides engineering teams through deployment, testing, cutover, and stabilization. Responsibilities include cluster architecture, capacity planning, virtualization migration, disaster recovery, backup, performance optimization, risk mitigation, technical documentation, and client-facing design reviews. Serves as the senior escalation point for complex infrastructure, storage, networking, and virtualization issues.

Deploys, configures, migrates, troubleshoots, and optimizes Nutanix HCI environments. Executes enterprise workload migrations from VMware, Hyper-V, and other platforms; manages clusters, storage, networking, replication, backup, disaster recovery, and high availability. Performs readiness assessments, migration cutovers, validation, stabilization, documentation, performance tuning, and knowledge transfer while collaborating with architects, application owners, and infrastructure teams.

Build and manage Ironclad workflows, integrations, automations, reporting, permissions, and secure AI connections across Legal, Finance, RevOps, Sales, and other business systems. Develop reliable API integrations with monitoring, error handling, and retries; improve contract data visibility; administer releases and change management; troubleshoot issues, manage vendors, document processes, and train users.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Design and improve observability (monitoring, logging, tracing, SLIs/SLOs), build automation and CI/CD, lead incident response and reliability improvements, mentor SREs, run on-call, and apply AI/ML to operational signals to forecast and reduce risks.

Lead system-level loads, structural dynamics, vibration, aeroelastic, and store separation analysis for unmanned aircraft, interceptors, and munitions. Build full-vehicle finite element models, guide ground and flight-test correlation, conduct trade studies, support design decisions, document results, present to customers, and mentor engineers. Requires collaboration across structures, aerodynamics, propulsion, GNC, and systems engineering.

Develop and optimize global websites for technical SEO, GEO, crawlability, indexing, performance, internationalization, and user experience. Conduct audits, resolve technical defects, implement metadata, structured data, redirects, canonicalization, internal linking, sitemaps, and robots directives. Collaborate with marketing, search, design, and engineering teams, automate recurring audits, troubleshoot web technologies, validate launches, monitor regressions, and improve visibility across traditional and AI search platforms.

Design, build, and operate distributed storage and file-system platforms for cloud-scale AI training and inference. Architect storage and caching for Kubernetes and GPU workloads, improve performance, reliability, observability, and resiliency, diagnose cross-layer production issues, and lead architecture reviews. Partner across infrastructure, networking, operating systems, and AI platform teams while mentoring engineers and shaping long-term storage strategy.

Leads complex SaaS and digital banking implementations, including configuration, customization, validation, troubleshooting, third-party integrations, and post-go-live stabilization. Serves as the primary technical resource for client engagements, coordinates with project managers, engineers, vendors, and customers, and translates technical issues into actionable solutions. Develops implementation documentation, improves processes, mentors junior engineers, manages concurrent priorities, and communicates platform enhancement opportunities to product and engineering teams.

Analyze cloud and Kubernetes usage to identify cost inefficiencies, anomalies, and optimization opportunities. Build scripts, API integrations, dashboards, forecasts, and repeatable workflows to improve cloud-cost visibility and efficiency. Partner with engineering, product, finance, architecture, and leadership teams to implement recommendations, support commitment planning, and expand FinOps practices through tools, standards, documentation, and education.

Own and extend Airbnb’s Minerva semantic layer and data-authoring platform. Build core services, including query rewriting, and deliver reliable systems that help internal users define and consume business metrics. Scope ambiguous, cross-team initiatives, partner with users and product teams, evaluate data and database technologies, and manage design, implementation, testing, deployment, and on-call responsibilities.

Own the reliability, availability, security, and observability of Tradeweb’s global AWS platform. Responsibilities include infrastructure-as-code automation, monitoring, SLO development, incident triage and resolution, performance analysis, architecture collaboration, and regular on-call support. The role requires cloud-native engineering, scripting, networking, Linux/Unix, security, and reliability expertise while contributing to an Agile engineering organization.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Build and maintain responsive web, PWA, and mobile app experiences; design secure APIs and third-party integrations; develop conversational AI and voice bots; implement targeted messaging, ad-tech, analytics, and A/B testing; and optimize performance, reliability, and uptime. The role requires full-stack development, marketing technology integration, cloud and DevOps fundamentals, and collaboration in a fast-paced startup environment.

Owns production reliability for a B2B SaaS platform, including SLOs, error budgets, observability, alerting, incident response, recovery exercises, performance and capacity engineering, load testing, disaster recovery, and production readiness. The role writes automation and production code, leads incidents, coaches engineering teams, and improves reliability across Kubernetes, Azure, databases, messaging, and service infrastructure.

Build and maintain full-stack features for Suwali, translating broad goals into practical plans and delivering work from exploration through deployment and follow-up. Collaborate with technical and non-technical colleagues, assess user feedback and data, communicate progress clearly, and contribute to product decisions. The role requires production engineering across frontend and backend systems, with potential future responsibility for managing and mentoring engineers.

Build full-stack applications for an AI-driven pipeline risk platform. Primary responsibilities include developing TypeScript and React interfaces, building TypeScript and Python APIs, designing asynchronous analytical workflows, integrating Databricks and Azure services, and enabling customer model deployment. The role also covers testing, security, performance optimization, database development, CI/CD, accessibility, API documentation, and collaboration with design, data science, product, QA, and engineering teams.

Develop and enhance the LEXSO security operations platform across frontend and backend systems. Build microservices, REST APIs, Kafka consumers, React interfaces, real-time visualizations, and integrations for cameras, sensors, drones, and other devices. Contribute to architecture, data modeling, CI/CD, testing, debugging, optimization, and Agile delivery while collaborating with distributed systems and automation specialists.

Own and re-architect Filevine’s end-to-end CI/CD systems across .NET, Python, and Svelte. Build internal developer tooling, improve testing and feedback cycles, enhance local development and onboarding, instrument DORA delivery metrics, and introduce AI-assisted development practices. The role includes infrastructure-as-code, containerization, mentorship, cross-team process improvement, and on-call ownership for delivered systems.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.