Top Remote Python Jobs in San Diego, CA

Seeking experienced Senior Backend Engineers to join a collaborative team, focusing on backend systems, shared services, and product features aimed at improving user experiences and monetization.

As a Staff Software Engineer at Juniper Square, you'll lead architectural decisions and develop AI-powered systems, mentoring engineers and ensuring high-quality technical standards while collaborating with cross-functional teams.

The Senior HPA Architect will lead architecture for AI Factory environments, focusing on complex GPU infrastructure solutions and business outcomes, while mentoring team architects and engaging C-suite stakeholders.

The Site Reliability Engineer will manage infrastructure stability and scalability, lead cloud migrations, and optimize performance across systems while mentoring team members.

The Senior Data Engineer will design and develop data systems and pipelines, perform analyses, and collaborate with stakeholders to improve decision-making in healthcare.

As a Senior Platform Engineer, you will design, implement, and maintain data models and infrastructure while improving data quality and scalability. You'll collaborate across teams and mentor fellow engineers to enhance data usability and reliability.

As a Data Engineer, you will design, build, and maintain data pipelines and workflows, transforming raw data sources into clean, reliable data streams for healthcare clients.

Lead architecture and implementation of scalable, resilient insurance application systems across Life, Health, and Annuity. Drive technical strategy, design integrations, mentor engineers, evaluate vendors, and ensure reliable CI/CD, DevOps, and platform standards while collaborating with product, underwriting, and cross-functional teams.

Design, build, and operate backend platform services and infrastructure, owning features end-to-end from design through production. Improve reliability, performance, and scalability across services and the data layer, investigate and resolve production incidents, and convert fixes into durable improvements. Perform database work as needed (query/index tuning, sharding, capacity planning) and collaborate with SRE and application teams to meet zero-downtime SLAs. Mentor peers and raise engineering quality through reviews and best practices.

Lead enterprise cloud strategy and architecture on Google Cloud, drive multi-cloud interoperability, enforce governance and security, optimize cost, deliver large-scale implementations (GKE, BigQuery, Vertex AI), mentor senior engineers, and promote GitOps and automation across the delivery lifecycle.

Own CI/CD, reliability, and deployment infrastructure for GTM systems (Salesforce, NetSuite, MuleSoft, Workato) and AI agent workloads on GCP and AWS. Build pipelines, observability, environment lifecycle, secrets management, IaC, container security, and runbooks. Partner with developers, Security, and IT to enforce guardrails, perform incident RCAs, and automate tooling to increase deployment safety and velocity.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.

Design, build, and lead scalable API and platform features. Mentor junior engineers and drive technical initiatives from design to delivery.

The Sr. Network Engineer designs, implements, and operates cloud and hybrid network infrastructure, emphasizing automation and customer-centric solutions while supporting 24x7 operations.

The role involves setting up and managing cloud infrastructure, implementing CI/CD pipelines, and programming in modern languages with a focus on DevOps practices.

The Senior DevOps Engineer will design and manage infrastructure, CI/CD pipelines, and ensure reliable operations for scalable systems.

Design, develop, test, and own SDKs and REST APIs for a next-generation analytics platform. Collaborate with Product Management, contribute to DevOps and quality frameworks, perform code reviews, and mentor teammates to deliver performant, well-tested software.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

As a Pre/Post Sales Solutions Architect, you will demonstrate Gremlin's reliability solutions to customers, consult on architectures, and engage in technical projects while collaborating with internal teams.

Build and maintain data integration interfaces and ingestion pipelines between EHR systems and the Bayesian platform. Collaborate with client technical teams, implement automated integration tests, deploy and support go-lives, troubleshoot data correctness end-to-end, and develop tooling and automation (including LLM-driven) to scale integrations.

Own FPGA prototyping and silicon bring-up for next-generation communications ASICs. Build FPGA-based platforms, support first-silicon debug, validate high-speed interfaces, develop automated test infrastructure, and collaborate across ASIC, firmware, software, and systems teams.

Lead full-stack product engineering for AI-powered healthcare features. Build frontend experiences, backend services, APIs, relational data models, and AI workflows. Prototype, ship, and iterate production systems; improve AI via evaluation and product signals. Ensure reliability, privacy, observability, and operational readiness while collaborating with product, design, customers, and engineers.

Design, build, and scale backend services and APIs (checkout, payments, scheduling, accounts) using Python, FastAPI, and PostgreSQL. Integrate third-party platforms, ensure resiliency and observability with Datadog, optimize performance, write automated tests, and mentor engineers while partnering with Product and Design to deliver customer-facing features.

Design, build, and ship full-stack features across mobile (Vue/TypeScript/Capacitor) and backend systems (Python/Flask/Postgres/Redis/AWS). Drive architecture, partner with Product and Design, decompose ambiguous problems into iterative work, participate in on-call rotation, and mentor through design and code reviews to support millions of users accessing government benefits.

The Principal Software Engineer will architect and oversee the development of distributed systems, mentor engineers, and drive architectural initiatives for large platforms.