Top Remote Python Jobs in San Diego, CA

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

Develop and maintain front-end and back-end components of AI-driven products, collaborating with teams to enhance user experience and build proof of concept products.

The Full Stack Software Engineer will develop, innovate, and maintain features for a SaaS platform using technologies like React and Python, contributing to a collaborative team to enhance product performance.

Implement and support DNS and Kubernetes architecture in a private cloud environment, ensuring scalability, resilience, and performance optimization through IaC tools, while collaborating with teams and managing incidents.

Design, build, and operate a scalable demo environment platform. Implement IaC and automation, CI/CD, container orchestration, and observability. Create golden templates, seed data, access controls, and tooling to support Sales Engineering and internal users while ensuring reliability and security.

The Test Automation Engineer will develop automated testing frameworks for Esri software, execute tests, manage defects, and ensure compliance with federal standards.

Support and evolve internal infrastructure across cloud and on‑prem environments. Administer enterprise systems, identity and access (SSO/MFA), endpoint protection, backups and DR. Automate workflows with scripting and API integrations, monitor system health, participate in on‑call rotations, and collaborate with IT Support, Security, and Engineering to improve reliability, security, and scalability.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

Lead enterprise deployments, design scalable architectures, and guide customers in integrating AI solutions while ensuring high performance and stability.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

Migrate and operate customer experience applications on Google Cloud. Perform lift-and-shift to GCP, deploy and validate releases, manage containerized microservices (GKE/Docker/Terraform), query and configure apps, use Jenkins/git for pre-staging, and troubleshoot Linux/Unix systems with scripting.

Design, develop, and administer databases and web applications for IVR and call center software. Build cloud-based integrations, write and maintain SQL, and participate in call center analytics system development and integration.

Lead architecture and implementation of enterprise AWS and Kubernetes (EKS) environments, drive cloud migrations and IaC, build GitOps/CI-CD pipelines (ArgoCD, GitLab CI), implement observability and security/compliance (HIPAA, SOC2, SOX), mentor engineers, lead PoCs, and manage incident response and on-call for critical cloud infrastructure.

Own product problems end-to-end: gather requirements, build full‑stack features using AI, verify production quality, monitor and support services, and iterate to improve outcomes.

The Associate Staff Engineer will lead automation testing efforts utilizing various tools and frameworks while mentoring teammates and implementing agile practices.

Nagarro seeks an Associate Principal Engineer with extensive IT experience in Python to drive strategic value and innovation in product engineering.

This role involves ensuring the reliability and performance of ClickHouse's cloud infrastructure, collaborating with engineering teams, incident management, and driving continuous improvement in service availability.

The Forward Deployed Engineer will engage with clients, prototype solutions, deploy machine learning models, and collaborate across teams to address national security challenges. Requires technical expertise in software engineering and strong communication skills.

The Senior Software Engineer will architect and optimize AI-powered developer tools, enhance the SDLC, collaborate across teams, and mentor peers to improve engineering productivity.

Build and improve the end-to-end experience for new customers by implementing features across Python services, a GraphQL gateway, Auth0-based auth, and Terraform-managed GCP infrastructure. Collaborate cross-functionally to redesign discovery, evaluation, onboarding, and time-to-value while ensuring reliability, testing, and stable deployments.

Lead development and adoption of Warp by implementing CUDA C++ and Python integrations, turning CUDA features into supported functionality, integrating CUDA-X libraries, partnering with internal teams for production integration, and designing APIs and abstractions to expand simulation, optimization, and AI workloads.

Lead design, implementation, and operation of production-quality DevOps platforms and automated test infrastructure for heterogeneous edge hardware. Improve CI/CD, build/release, deployment automation, developer tooling, and platform reliability. Enable reproducible tests, diagnose failures across devices, partner with engineering and QA, and drive major infrastructure initiatives from ambiguity to production.

Design, analyze, and test propulsion systems (primarily solid, with liquid/hybrid as needed) across the product lifecycle. Perform internal ballistics, structural and thermal analysis, develop propulsion performance models, support static/hot-fire and flight tests, integrate propulsion with airframe and avionics, advise on hardware fundamentals and producibility, and contribute to propulsion design standards and design reviews.

Lead hands-on development of scalable, secure enterprise applications. Partner with business stakeholders to design and deliver full-stack solutions using Python, React/Next.js, REST APIs, microservices, and cloud platforms (AWS). Work with enterprise data platforms (Snowflake, Databricks, PostgreSQL, SQL Server) to prototype and productionize impactful software.