Top Remote Python Jobs in San Diego, CA

As a Lead Site Reliability Engineer, you will drive the reliability strategy, improve system health, lead incident management, and mentor engineers for a multi-region SaaS platform.

Lead cloud-native platform engineering initiatives: migrate Jenkins pipelines to Harness, move GCVE/on‑prem workloads to GKE, implement GitOps, IaC (Terraform/Ansible), enforce cloud governance and security, build observability and scalable GKE infrastructure, and coach teams on agile and best practices to improve developer productivity.

Design, build and maintain Microsoft Cloud applications using Power Apps/Pages and Azure services. Implement Entra ID authentication, Azure Functions/App Services, Logic Apps and Blob storage. Create Azure Data Factory pipelines and APIs (REST/GraphQL), integrate external services and LLM data pipelines, and ensure performance, security, and scalability while collaborating with customers to turn requirements into streamlined apps.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Designs and implements scalable software solutions as a Calypso SME, integrating Calypso with market utilities, developing Java/MQ/APIs, applying Agile best practices, conducting code/design reviews, and mentoring engineers.

Architect and lead enterprise multi‑cloud and datacenter infrastructure with automation (Python, Ansible, Terraform, PowerShell). Ensure security/compliance (SOC1/2, SOX, HIPAA, PCI, ISO27001), disaster recovery, observability, and 24x7 operational support. Lead large technical teams, translate business requirements into reliable, scalable solutions, and manage DR/BCP testing and maintenance windows.

Design and lead Twilio-based communication architectures, mentor engineering teams, translate product requirements into scalable, secure SaaS solutions, integrate new Twilio features, and troubleshoot complex platform issues to ensure enterprise-grade reliability.

Lead platform engineering strategy and execution across application, AI, integration, and data platforms. Build reusable platform services, agentic AI capabilities, integrations, and data/analytics infrastructure. Hire and develop senior technical leaders, define adoption and service maturity standards, and partner with product, security, and ops to deliver scalable, secure, AI-native enterprise software.

Lead and mentor full-stack teams to design, architect, build, test, and deploy cloud-native AWS applications. Provide hands-on solution architecture, define standards and patterns, drive POCs and RFP responses, and ensure secure, scalable microservices, containerized, and serverless solutions aligned with AWS Well-Architected principles.

As a Senior Software Engineer, you'll collaborate to build and maintain automation capabilities, contribute to AI solutions, and ensure scalability, improving the user experience with software solutions.

Lead and support design, deployment, administration, and Tier-2/3 support of AWS and hybrid-cloud systems. Maintain Linux/Windows servers, IP networking, automate operations with IaC/configuration management, produce documentation, and troubleshoot mission-critical infrastructure in a secured, fast-paced environment.

Lead development and optimization of fabrication processes for integrated photonic devices (electro-optic materials). Design experiments, own wafer lots at foundries, define metrology and failure analysis, improve yields, collaborate with internal and external photonics engineers, and implement process improvements to reduce loss and scale production.

Design, deploy, and maintain Apache Kafka clusters and streaming solutions across cloud/hybrid environments. Build producers/consumers, Kafka Streams/ksqlDB, and Connect connectors. Implement security (SSL/SASL/ACLs), schema management, monitoring, HA/DR, and compliance (HIPAA/FedRAMP/NIST). Integrate with API gateways and observability tools, troubleshoot production incidents, support audits, and collaborate with DevSecOps, data engineers, and security teams in Agile processes.

Provide expert-level technical support for NVIDIA DGX compute/GPU platforms: triage and resolve hardware and software issues on multi-distro Linux, debug installations and interoperability, coordinate with engineering/marketing, create KB articles, and improve support processes. Interact directly with customers via phone/email/conference and apply AI tools for debugging and documentation.

Design, develop, and maintain advanced software systems. Collaborate with product, design, and engineering teams. Write clean, scalable code, perform code reviews, debug complex issues, and stay current with technologies.

Develop, test, and deploy features for the core product while collaborating with product, design, and QA. Participate in code reviews, write clean documented code, troubleshoot and optimize existing systems, and contribute to process and tooling improvements. Gain hands-on experience and mentorship in a fast-paced engineering environment.

Design, develop, and maintain software applications; collaborate with product, design, and engineering teams; write clean, scalable code; participate in code reviews; troubleshoot defects; stay current with emerging technologies.

Design, build, and operate scalable full-stack systems for an AI-native enterprise platform: backend services, APIs, frontend React apps, workflow orchestration, integrations, testing, CI/CD, monitoring, and production readiness while collaborating with product and customers.

Design, develop, and maintain software applications. Collaborate with product, design, and engineering teams. Write clean, scalable code, participate in code reviews, troubleshoot defects, and stay current with technologies.

Build, maintain, and improve automated test frameworks and tooling to validate backend services, APIs, distributed workflows, and data pipelines. Reduce flaky tests, increase coverage, and contribute automated performance and scalability testing. Collaborate with software and QA engineers to improve testability, run tests in CI/CD, and operate primarily in Linux environments.

Design, develop, and maintain scalable software solutions. Collaborate with product, design, and engineering teams. Write clean, efficient code; participate in code reviews; troubleshoot complex defects; and stay current with emerging technologies.

Design, build, and maintain scalable backend services and frontend experiences. Write clean code, participate in reviews, collaborate cross-functionally to define and ship features, improve engineering practices and infrastructure, and help shape the company's engineering culture.

Own the technical relationship with manufacturing customers from discovery through production handover. Scope and implement integrations between edge AI and enterprise IT/OT (ERP, cloud, APIs), build full-stack web tooling, deploy and commission edge vision models (Jetson/industrial PCs), bridge IT/OT teams, write production Python integration code, and support long-term monitoring and retraining.

Support design, implementation, and operation of cloud infrastructure across AWS and Azure. Develop Infrastructure as Code, contribute to CI/CD pipelines, monitor and troubleshoot environments, participate in incident response and on-call rotation, and collaborate with engineering teams to improve reliability, security, and automation.

Owner of end-to-end full-stack features with primary focus on elite Angular/TypeScript frontends. Build real-time UI components (WebSockets/SSE), enforce feature-domain driven Angular architecture, harden API integrations and auth (JWT/OpenID Connect/OAuth2), optimize performance and i18n, and develop high-concurrency backend microservices (Python/FastAPI/Django). Use autonomous coding agents to accelerate and maintain code quality.