Top Remote Python Jobs in San Diego, CA

Designs, builds, tests, deploys, and optimizes full-stack product features using React and Python. Develops GraphQL integrations, scalable backend services, data visualizations, analytics instrumentation, and production-ready platform capabilities. Contributes to UX workflows, CI/CD, monitoring, code quality, and stakeholder updates while collaborating in agile sprints and evaluating new technologies.

Lead the design, operation, and scaling of AWS cloud infrastructure and Kubernetes production environments for a fintech platform. Build infrastructure-as-code, CI/CD pipelines, observability, and deployment tooling while improving reliability, security, performance, and resilience. Partner on PostgreSQL administration, scaling, backups, and performance tuning. Participate in incident response, root-cause analysis, and operational standards development for sensitive financial workloads.

Develop and maintain Python-based automated test frameworks for software-, hardware-, and model-in-the-loop environments supporting power plant controllers and SCADA systems. Define verification and validation plans, integrate testing into CI/CD pipelines, execute tests across multiple environments, investigate requirements, analyze failures, and perform root cause analysis using engineering tools and telemetry. Collaborate with controls and systems teams to ensure reliable production-ready software.

Define and lead architecture for scalable, cloud-native backend platforms supporting e-commerce, loyalty, identity, payments, and customer engagement. Design event-driven microservices, APIs, integrations, data platforms, and AWS infrastructure while establishing governance, observability, security, resiliency, and CI/CD standards. Provide technical leadership across engineering programs, modernization initiatives, architecture reviews, and enterprise stakeholder collaboration for high-volume QSR and consumer digital ecosystems.

Designs, develops, and maintains complex distributed software systems. Writes high-quality code, leads design and code reviews, translates product requirements into scalable architectures, leads sprint delivery, collaborates with stakeholders, and mentors engineers. The role requires expertise in programming, databases, APIs, messaging, microservices, containerization, DevSecOps, and technical strategy.

Design, develop, and maintain complex distributed software systems. Write tested, high-quality code; translate product requirements into scalable designs; lead design, code, and sprint activities; collaborate with stakeholders; and mentor engineers. The role also drives technical strategy, resolves delivery impediments, and promotes secure, maintainable, and reusable engineering solutions.

The role involves architecting and operating NVIDIA's cloud-native attestation platform, developing high-availability services, collaborating with cross-functional teams, and mentoring engineers.

Designs and maintains scalable AWS infrastructure, Kubernetes environments, Terraform-based IaC, and CI/CD pipelines. Integrates MLOps and DevSecOps practices, automates deployment and system administration, monitors performance and cost, supports incident response, and collaborates with engineering teams to improve platform architecture and reliability.

Deploys and operates AI-powered customer solutions, owning integrations, authentication, secrets, hosting, monitoring, and releases. Builds reusable tooling and platform components, develops customer-facing AI applications and workflows, leads technical discovery, translates business needs into deployable designs, and partners with Product, R&D, and Customer Success. Requires strong customer communication, software delivery ownership, cloud and DevOps expertise, product thinking, and experience with Python or TypeScript, SQL, REST APIs, and LLM-based systems.

Architect and lead RapidFort’s scalable build platform for producing hardened container images. Responsibilities include designing distributed build systems, automating image creation and validation, improving reliability and performance, solving Linux and container infrastructure challenges, establishing software supply chain standards, influencing cross-team architecture, and mentoring engineers. The role requires deep expertise in Linux, Docker, Kubernetes, Python, Bash, CI/CD, distributed systems, and build automation.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

Lead architecture and development of scalable full-stack software solutions, make strategic technical decisions, collaborate with product and business stakeholders, conduct code reviews, promote engineering best practices, mentor junior engineers, research emerging technologies, and solve complex technical challenges. The role focuses on building and optimizing distributed systems and consumer-facing platform experiences.

Build, configure, administer, and support enterprise SaaS applications, ERP/CRM integrations, SQL data models, ETL processes, and automated workflows. Diagnose production issues, improve reliability, manage testing and deployments, document systems, coordinate vendors, and partner with business, data, security, and validation teams to deliver dependable commercial applications.

Build and maintain reliable data pipelines, APIs, integrations, and event-driven or batch processing systems. Transform data from advertising, ecommerce, order management, and event sources while improving monitoring, freshness, performance, and scalability. Collaborate with data engineering, infrastructure, product, and business teams to extend the integration platform in a cloud-native, multi-tenant environment.

Lead backend-focused software architecture and development across distributed systems, data ingestion, experimentation platforms, AI workflows, and product capabilities. Build primarily in Python while contributing to React and TypeScript frontend work. Translate ambiguous product needs into scalable production systems, guide technical direction, partner with product and data teams, mentor engineers, and improve engineering practices.

Build backend services, APIs, data-processing systems, and frontend features for Northbeam’s marketing intelligence platform. Work on experimentation, near-real-time data infrastructure, AI-powered workflows, data integrations, RBAC, and end-to-end product delivery. Collaborate with data scientists, product managers, designers, and senior engineers while contributing across backend, frontend, pipelines, and infrastructure in a fast-moving environment.

Owns the reliability, security, performance, and availability of AWS-hosted healthcare infrastructure. Builds infrastructure as code, CI/CD automation, monitoring, observability, backup and disaster recovery capabilities. Leads incident response, optimizes cloud resources, implements security controls, supports customer onboarding and migrations, and ensures compliance with healthcare privacy and software lifecycle requirements. Participates in on-call rotations and provides technical guidance to engineering and support teams.

Support Juniper MX and Routing Director platforms in large-scale ISP and data center environments. Plan network deployments, develop implementation plans, test solutions, troubleshoot hardware and software issues, manage JTAC cases, provide root-cause analysis, and advise customers on network operations. The role requires deep routing and switching expertise, customer communication, technical documentation, and collaboration with resident engineers. Automation and DevOps knowledge, including Python, Ansible, APIs, and Junos scripting, is preferred.

Build and maintain Clay-based GTM automation, enrichment pipelines, lead scoring, CRM and outbound-tool integrations, and reporting systems. Automate workflows using APIs, webhooks, Python, or JavaScript; improve data quality, deliverability, and campaign performance; and partner with sales and marketing to convert business needs into scalable technical solutions.

Administer and secure the organization’s GitHub environment, including repositories, permissions, branch protections, security controls, and CI/CD workflows. Build automation with GitHub Actions, APIs, and scripting; monitor reliability against SLOs; troubleshoot incidents; and improve developer experience. Integrate identity providers and security tools, support migrations, maintain documentation, and guide teams on GitHub usage and Copilot adoption. The role requires SRE or DevOps experience, infrastructure-as-code, containers, cloud platforms, and observability tooling.

Supports and enhances software, data, reporting, integration, and internal systems. Responsibilities include troubleshooting applications and data pipelines, maintaining SQL and Power BI environments, writing code, debugging APIs, supporting deployments and incident response, documenting solutions, working helpdesk tickets, and applying approved AI tools securely. Collaborates with engineers, analysts, developers, and business stakeholders to resolve issues, automate work, improve systems, and reduce operational burden.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Lead architecture and delivery of Control Center platform capabilities (MCP tool registries, AI orchestration, access automation). Design agentic AI integrations, HITL workflows, and evaluation/guardrail frameworks. Own backend services, SLOs, observability, incident response, and operational readiness for Tier-1 systems. Drive cross-team technical direction, author TDDs, run design reviews, mentor engineers, and partner with Product and Security to deliver secure, scalable platform primitives.