Top Remote Python Jobs in San Diego, CA

Lead design and build of read/write EHR integrations using FHIR/HL7/C-CDA, deliver clinical notifications into provider workflows, apply AI to extract and route unstructured data, support payer and partner data flows, and implement monitoring, error-handling, and documentation to scale integrations.

Lead end-to-end feature development across frontend and backend for an enterprise data analytics platform. Design, implement, and maintain React UIs, backend services, APIs, databases, and distributed systems. Collaborate with Product, UX, and Engineering, mentor engineers, improve quality through testing/CI, and introduce new technologies including AI-assisted development.

Lead design and implementation of scalable data ingestion, transformation, and search systems for security telemetry. Build and maintain event-streaming pipelines, integrate third-party data sources, partner with product stakeholders, apply AI agents for data mapping and correlation, set engineering standards, improve observability and testing, and mentor junior engineers.

Develop automated production-level test solutions and functional test software for photonic integrated circuits and optical modules. Monitor production data, troubleshoot test stations, perform GRR, support manufacturing partners with failure analysis, and transition R&D tests to high-volume manufacturing while interfacing with cross-functional teams.

Design, automate, and manage AWS infrastructure using Terraform; build CI/CD pipelines with Jenkins, Git, and Docker; operate container workloads on ECS; implement monitoring (Splunk, Zabbix, AppDynamics); ensure security/compliance (NIST, CIS, FedRAMP/FISMA); participate in on-call support, incident response, and cross-team documentation for federal stakeholders.

Maintain and operate CI/CD pipelines, containerized infrastructure, and AWS cloud environments (ECS/ECR Fargate). Monitor systems, support incident response, perform steady-state operational work, and ramp into existing tooling. Use Terraform/IaC and Python for automation; Kubernetes and cybersecurity experience are valuable. Collaborate with platform team to keep deployments reliable while scaling.

Own and operate the AI-native platform runtime including Kubernetes (GKE), Terraform, GCP, CI/CD, observability, orchestration (Temporal, Kong). Improve reliability, performance, cost, multi-tenant provisioning, developer experience, and lead on-call and incident response.

Lead design, build, and operation of AI-powered product features across backend, frontend, and AI systems. Make architecture decisions, drive production deployments, improve code quality and reliability, mentor engineers, and own features end-to-end.

Design, operate, and evolve CI/CD and delivery infrastructure for ~400 engineers. Build developer-facing tooling, champion progressive delivery (canaries, automated rollbacks), own end-to-end delivery from merge to production, improve pipeline reliability and speed, evolve the Internal Developer Portal, and embed AI-assisted workflows into the software development lifecycle.

Lead architecture and implementation to scale a large Kubernetes-native microservice platform into cell-based deployments. Decompose services, build shared libraries and configuration frameworks, enable private/isolated cloud deployments, land changes in product services, set architecture patterns, partner with Cloud Platform/SRE/DevEx, mentor senior engineers, and embed AI tooling into development workflows.

Lead design, operation, and evolution of AlphaSense’s cloud and Kubernetes platform. Improve security, reliability, cost, and performance; build tooling and AI integrations; enable self-service workflows; support global engineering teams and drive platform standards and automation.

Senior backend engineer on an education-focused technology consulting team. Own complex backend systems end-to-end: estimate scope, build and support production Python services, design REST/GraphQL APIs, work with cloud and Docker, use relational databases, maintain strong automated tests and Git workflows, and represent technical work to clients. Role values mentorship, ownership, and mission-driven work.

Lead technical strategy to scale a multi-ecosystem libraries platform: generalize package indexing, build orchestration, and remediation automation from CVE detection to verified release. Drive agentic/AI-driven patch generation, set platform architecture and SLOs, mentor senior engineers, own incident response, and get hands-on resolving toolchain, compiler, and packaging failures for new ecosystems (.NET, Go, Rust).

Design, build, and operate CI/CD pipelines, automate releases and environment promotion, manage build/artifact systems and container image workflows, integrate DevSecOps and compliance automation, instrument observability for build/release systems, and support release execution and incident response for a cloud-first SaaS platform.

Design, validate, and build a scalable Salesforce-to-AWS outbound email workflow. Assess integration patterns, implement AWS components (API Gateway, Lambda, SQS/DLQ, S3), automate S-Docs templates, implement error handling, run high-volume testing, deploy via CI/CD, document architecture, and hand off runbooks and training. Ensure security, compliance, observability, and VA Notify integration.

Deploys, supports, and improves Managed Services Gateways across cloud and virtualization platforms. Administers Linux, Kubernetes (Rancher), VMware/Hyper-V, networking and firewalls; automates workflows; triages escalations; documents runbooks; coordinates with clients and teams; participates in on-call and lifecycle/security initiatives.

Build and operate full-stack web applications and backend services for real-time AI calling workflows. Design, implement, deploy, and monitor frontend components, REST and real-time backend services, databases, background processing, CI/CD, and cloud infrastructure. Integrate telephony, AI, payment, and third-party APIs. Own features across planning, implementation, testing, deployment, monitoring, and maintenance while improving performance, reliability, security, and operational processes.

Design, operate, and evolve multi-cloud and hybrid network architectures (AWS/Azure/GCP). Lead connectivity, segmentation, routing, security enforcement, observability, automation (IaC), incident response, and mentor engineers. Manage enterprise switching/routing/wireless platforms, troubleshoot complex issues, and participate in on-call rotations and audits.

Lead systems engineering for autonomous construction vehicles: define and maintain requirements and traceability, design and execute V&V plans, build simulation and validation tooling, perform FMEAs/FTAs/HARAs, validate perception and safety-related components, and collaborate across ML, software, hardware, and safety teams to enable safe field deployment.

Design and document scalable, secure post-sales architectures for Veeam deployments. Lead technical discovery, produce high- and low-level designs, support implementations (on-prem, cloud, Kasten), run PoCs, guide partners, troubleshoot complex issues, and contribute reference architectures and best practices.

Own day-to-day AWS and database operations for a serverless production platform, manage backups and disaster recovery, monitor and debug production, lead incident response and on-call, maintain infrastructure-as-code (SST/Pulumi), optimize costs, and mentor the team on operational best practices.

Own end-to-end quality validation for new features and releases on a genomics platform. Design, build, and maintain scalable automated regression suites (Playwright/Cypress/Selenium), run API/integration tests (Postman/Swagger), integrate tests into CI/CD, lead exploratory testing and release readiness, track defects to resolution, improve QA processes, and mentor junior QA engineers while communicating quality risks across teams.

As a QA Engineer, you will define and execute test plans, perform various types of testing, and collaborate with teams to ensure quality software releases.

As an iOS Engineer, you'll design and implement the mobile app's upload flows, optimize performance, and collaborate with backend and ML teams on features.

The Full Stack Engineer will architect, implement, and maintain user-facing applications, improve UX, and design internal tools while collaborating with a team in a startup environment.