Top Remote Python Jobs in San Diego, CA

Designs and delivers secure, scalable cloud solutions across AWS and Azure for application, data, scientific, and research workloads. Partners with customers to translate requirements into architectures, develops Terraform infrastructure and automation, integrates DevOps and CI/CD capabilities, and manages solutions through implementation and transition to operations. Responsibilities include cloud networking, identity, security, monitoring, backup and recovery, troubleshooting, documentation, technical reviews, and collaboration within an Agile Cloud DevOps team.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Develop and maintain microservices-based, real-time software for mission-critical air traffic systems. Collaborate with product, systems engineering, QA, DevOps, and platform teams in an Agile/SAFe environment. Translate requirements into reliable solutions, integrate APIs, databases, messaging systems, and external services, and contribute to design and technical decisions. Apply CI/CD, DevSecOps, automated testing, troubleshooting, performance tuning, and AI-assisted development tools. The role is fully remote and requires Public Trust eligibility and U.S. citizenship.

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.

Lead the architectural vision for cloud-based platform solutions, including scalable AWS infrastructure, integration flows, APIs, IAM governance, networking, observability, and CI/CD pipelines. Design secure, highly available platforms connecting RPA processes, enterprise applications, internal services, and downstream systems. Provide technical leadership, stakeholder management, architecture documentation, mentoring, and engineering best practices while supporting enterprise DevOps, platform engineering, and integration initiatives.

Provides mainframe patch-management expertise using SMP/E and z/OSMF. Responsibilities include CVE reporting, patch automation, response modeling, validation cadence, package stability reviews, dashboard improvements, baseline dataset development, vulnerability-tool integration, and secure patch deployment. The role also develops AI-driven prompts and automation for testing, RFB validation, and impact analysis while supporting z/OS and ISV software installation, maintenance, customization, and testing.

Validate and implement AI fencing controls across z/OS environments through adversarial testing, monitoring, alerting, forensic analysis, and sanitized validation. Design disruptive AI testing labs, test non-privileged user operations, support secure AI adoption, and assess GenieZ production readiness. Requires deep z/OS internals expertise, catalog management, USS security, software installation, complex troubleshooting, advanced testing, REXX, Python, and 10+ years of experience.

Lead backend development to scale and harden API infrastructures, implement unit testing playbooks, optimize core algorithms, support migration from Supabase to a robust cloud provider, ensure system reliability and scalability, collaborate with frontend and DevOps, and integrate AI workflows and RPA where applicable.

Designs and governs scalable, secure, cost-effective Google Cloud solutions across enterprise IT environments. Leads cloud adoption, develops standards and roadmaps, integrates GCP with on-premise and third-party platforms, applies AI and automation, supports high-priority troubleshooting, manages vendors, and communicates architecture decisions to technical and executive stakeholders. Provides training and ensures compliance with enterprise security and technology standards.

Develop distributed, production-grade microservice systems and scalable data-processing infrastructure on Linux. Lead service mesh, contract-first API, gRPC, and Protocol Buffers initiatives; design fault-tolerant architectures and observability systems; operate containerized distributed platforms; and mentor junior and mid-level engineers. The role also emphasizes AI-assisted development, technical communication, and documentation, with preferred experience in industrial automation, monorepos, real-time processing, edge computing, and infrastructure as code.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Leads functional and automated testing for complex modern, cloud-based applications. Develops test strategies, plans, cases, and automation for unit, API, integration, UI, performance, security, and regression testing. Validates Kafka-based workflows, microservices, serverless systems, data pipelines, and CI/CD releases. Partners with engineering and DevSecOps teams on defect prevention, security, observability, environment readiness, root-cause analysis, and operational quality. Maintains audit-ready documentation and communicates risks and recommendations to stakeholders.

Build full‑stack web features from zero to one, integrate with third‑party APIs, design and manage state machines for financial workflows, own features through launch and post‑launch customer iteration, and maintain high code quality and accountability.

Lead enterprise EKS consolidation and architecture: assess 20+ clusters, design a multi-tenant golden-cluster standard, define CNI/service-mesh strategy, enforce zero-trust IAM, implement IaC with Terraform, enable resilient ingress and storage patterns, validate via pilot Python workloads, and define lifecycle, DR (Velero/S3), and CI/CD (GitHub Actions runners) governance.

Build scalable automated solutions for device fleet management, own and optimize MDM platforms, write OS-level scripts for self-healing, gather telemetry to prevent end-user disruption, translate compliance (CMMC) into code-managed baselines, and create dashboards and alerts measuring end-user SLOs.

Support environmental and laboratory testing of sensor systems: create qualification test procedures/reports to MIL-STD/RTCA standards, perform test setups, develop/maintain automated test software (LabVIEW/Python), integrate lab equipment, coordinate with program managers, customers, and cross-functional teams, and occasionally travel to external test labs.

Technical lead for public-facing gRPC APIs and SDKs powering provider search, ranking, and dynamic copay lookups. Own API design, versioning, ranking/steerage logic, and reliability at scale. Write and review code and designs, mentor engineers, drive technical direction, partner with product and partner engineering, and support production operations and scaling decisions.

Lead end-to-end delivery of 2-3 large SaaS customer implementations, triage cross-functional issues, build repeatable tooling and processes, mentor teammates, and feed implementation learnings into Product and Engineering while advancing AI-enabled workflows.

Lead and grow a DevOps team responsible for AWS/Azure infrastructure, CI/CD, reliability, observability, incident response, and FinOps. Set technical direction for IaC, pipelines, and service management while partnering with Product, Engineering, and Security and participating in on-call rotation.

Design, build, and maintain cross-platform mobile applications and end-to-end web features. Implement front-end interfaces, back-end services and RESTful APIs, optimize databases, write tests and documentation, perform code reviews, and collaborate with UX, QA, and DevOps to deliver high-quality, secure, and performant solutions.

Own architecture, development, and reliability of ecommerce web applications (Symfony storefront and Laravel back-office). Lead front-end JavaScript/CSS direction, optimize SQL schemas/queries, improve observability and incident response, reduce legacy technical debt, establish AI-assisted development workflows, mentor engineers, and drive end-to-end delivery of scalable customer-facing features.

Build and ship full‑stack product features on a Python/Flask backend and React frontend. Design REST/GraphQL APIs, work with SQLAlchemy and relational data models, integrate LLM/AI features, use async task queues (Celery), and collaborate with product, design, and engineers to deliver reliable, well-tested features end-to-end.

Design, build, and operate enterprise-scale multi-cloud infrastructure (primarily Azure, also AWS). Implement IaC (Terraform, ARM/Bicep, CloudFormation), CI/CD (GitHub Actions), monitoring, security/compliance, FinOps, automation scripting, and platform engineering to support reliability, performance, and AI/ML workloads.

The Lead Technology Engineer will lead IT systems implementation, ensure network security, manage integrations, and enhance operational efficiency through automation.