Top Remote Python Jobs in San Diego, CA

The Forward Deployed Engineer will serve as a technical bridge between clients and engineering teams, writing custom code and integrations, while ensuring customer success with Socket's security platform through strong relationships and expert technical guidance.

The Senior Software Developer will design and develop web and mobile applications, collaborate with scientists, implement APIs, and mentor developers.

The role involves developing features for a product, managing codebase areas, interacting with customers, and taking on challenging projects.

As a Founding Engineer, you'll design and build backend services, improve cloud infrastructure, and contribute to sustainable software solutions for the fishing industry.

As a Senior Software Engineer, you will lead your team in delivering features according to specifications, ensuring scalable technical decisions, and mentoring team members.

Join Cerebras Systems to optimize and develop frontend compiler infrastructure for PyTorch models on their unique wafer-scale AI platform, focusing on model representation and optimization.

Develop, test, deploy, and maintain UiPath RPA solutions focused on identity and access processes. Integrate bots with APIs, databases, and third-party systems; document workflows and designs; monitor and support production bots (including after-hours/24/7 support); collaborate with business units and follow agile/Scrum practices while ensuring security and compliance.

Serve as engineering lead for Fool.com and Motley Fool Money: set technical direction, write and review code, mentor engineers, own production reliability (incident response, observability), integrate AI/LLM features, and collaborate with cross-functional partners to align technical strategy with business goals.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Design and implement AI-powered educational software, focusing on generative AI systems, mentor peers, and ensure scalable, secure architecture.

The role involves designing data ingestion and processing systems, writing scalable backend applications, and optimizing performance of business-critical endpoints.

As a Senior DevOps Engineer at Scribe, you will design and optimize AWS cloud infrastructure, manage CI/CD pipelines, and support product development while ensuring reliability and performance of services.

Lead full-stack development across backend and frontend systems, implement and maintain features, fix bugs, collaborate with product and design, support client projects, and contribute to a distributed remote engineering team focused on high-impact startup missions.

Lead architecture and delivery of AI-native contact center solutions using Amazon Connect and generative AI. Design AI agents, contact flows, serverless backends, analytics lakes, IaC, CI/CD, observability, and migration plans. Mentor engineers, drive technical decisions, manage risk, and support pre-sales and customer enablement.

Build and deliver AI-assisted QA curriculum as part-time instructors, authors, or subject-matter experts. Create and review course content, lead workshops, design exercises, advise on AI QA workflows, and support curriculum improvement with hands-on tool experience.

Support and improve production SaaS infrastructure across AWS, colocation, and hosted platforms. Administer Windows and Linux systems, virtualization, storage, networking, and database support. Lead incident troubleshooting, root cause analysis, monitoring improvements, vulnerability remediation, automation initiatives, and medium-sized infrastructure projects. Collaborate on compliance (SOX/PCI/HIPAA), disaster recovery, and documentation to increase operational reliability.

The Software Engineer in Platform Operations designs and manages core infrastructure, ensuring secure, scalable, and reliable platform operations while collaborating with software engineers to improve deployment experiences.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

The Lead Software Engineer will design and develop full-stack applications for construction project management, ensuring intuitive data workflows and collaborating across teams to enhance user experience and performance.

Customer-facing senior Solutions Architect leading and mentoring engineers to design and deliver cloud-native, secure CI/CD solutions. Own POCs and packaging (Zarf/UDS), build CI/CD pipelines, deploy and troubleshoot containers and Helm/Kustomize artifacts across AWS/GCP/Azure, and drive process improvements and enablement for Defense customers.

Design and perform physical layout for silicon interposers using Cadence Virtuoso; run DRC/LVS and verification (Calibre, ICV, Thunder); perform feasibility studies, floorplanning, custom layout, and collaborate with package, SI, and technology teams to meet schedule, cost, manufacturability, and electrical goals.

Lead full-stack engineering for a B2B partner portal: design and deploy React/TypeScript front ends, .NET services, and Python data pipelines (Databricks). Integrate LLMs and agentic development into product and workflows, mentor engineers, ensure quality engineering practices, and resolve production issues end-to-end.

Lead reliability, observability, and resilience for cloud-based financial SaaS. Define SLOs/SLIs, design monitoring/tracing, own incident response and runbooks, build IaC and automation, implement AIOps, perform chaos and load testing, and write production-grade Python tooling while ensuring security and compliance.

Design, build, and lead AWS-based contact center solutions (Amazon Connect, Salesforce Service Cloud Voice). Develop integrations, implement CloudFormation/Lambda, apply IaC and CI/CD, perform code reviews, provide technical advisory, documentation and training, and ensure secure, scalable architectures.

Build end-to-end production features across backend, frontend, and database. Integrate LLM APIs and agentic workflows into products and internal developer tools. Improve CI/CD, deployment, and developer infrastructure. Debug production issues on GCP and containerized services; participate in code reviews and architecture discussions on a small collaborative team.