Top Remote Python Jobs in San Diego, CA

As a Deployed Customer Engineer, you serve as a technical partner, implementing Couchbase solutions and collaborating with customers to achieve technical milestones and business outcomes. Responsibilities include coding, database architecture design, and troubleshooting deployment challenges.

Design, develop, test, and debug features for autonomous construction equipment while optimizing controls systems and maintaining code quality standards.

Lead the design, development, and deployment of autonomous systems for heavy construction equipment while mentoring engineering teams and improving system performance.

Design and develop full-stack applications for controlling autonomous construction robots, including backend services and front-end interfaces. Collaborate in rapid deployment cycles.

The Software Test Engineer will design, implement, and maintain test frameworks for back-end services, ensuring product quality through test case creation and automation, and collaborating with cross-functional teams.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.

Design, implement, and manage scalable AWS infrastructure (EC2, S3, RDS, VPC, EKS) using IaC (Terraform/CloudFormation), automation, containerization (Docker, Kubernetes), and CI/CD (GitHub Actions). Enforce cloud security (IAM, encryption, network segmentation), monitor and optimize performance/cost, troubleshoot infrastructure and deployment issues, and collaborate with development teams. Support VA project requirements, undergo background checks, and complete fingerprinting.

Design, build, and operate AI-native automations and integrations across GTM systems (Salesforce, NetSuite, iPaaS). Develop LLM-powered agents, MCP integrations, and reusable automation patterns; own lifecycle, reliability, observability, and stakeholder collaboration for quote-to-cash and revenue workflows.

Build full-stack product features, prototype AI-enabled functionality, work directly with customers to define workflows, own projects from discovery to launch, design scalable systems and APIs, and improve reliability and developer experience.

Design and manage cloud infrastructure and applications, optimize performance, automate with IAC tools, and educate teams on best practices.

The Full Stack Engineer will design, develop, and deploy applications, build RESTful APIs, optimize for performance, and mentor junior engineers while working in Agile teams.

Perform manual and automated testing across web, mobile, APIs, backend services, and blockchain integrations. Build and maintain Python-based test frameworks, investigate issues across distributed systems, analyze logs/metrics/network traffic, contribute to release validation and automation, and collaborate with product, engineering, and DevOps. Use AI tools to accelerate testing, support incident analysis, and proactively improve testing coverage and product reliability.

Owner of full-stack features and platform reliability: build scalable web applications, optimize PostgreSQL performance, maintain asynchronous infrastructure (Celery), migrate frontend to server-side HTMX, ship revenue-driving features, ensure observability and SLO-driven reliability, collaborate cross-functionally, write testable code, and participate in architecture and code reviews.

The Senior Software Engineer will develop and maintain big data applications, focusing on distributed computing, automation, and collaboration with teams to enhance healthcare solutions.

The Research Engineer will develop automated security analysis solutions for mobile applications and conduct research to identify security issues.

The Software Engineer will build scalable backend systems, integrate third party software, and optimize performance, aiming to enhance efficiency in the moving industry.

As a Senior Full-Stack Engineer, lead development of secure AI-driven SaaS applications, focusing on backend architecture, frontend design, and AI integrations. Collaborate with teams to operationalize models and enhance application functionality through cutting-edge AI solutions.

Design and implement cloud solutions for clients, leading teams, solving technical challenges, and utilizing modern technologies like Kubernetes and AI.

Design and implement backend services for an AI-driven automation platform, focusing on LLM orchestration, API development, and system reliability.

Teravision Technologies seeks a DevOps Engineer with 4+ years of AWS experience, proficiency in Terraform, Python automation, and knowledge of containerization and Docker for remote work.

The Data Engineer will design and develop data solutions utilizing big data frameworks and tools, while ensuring effective data management and BI dashboard creation in a remote environment.

The Senior Technical Architect will design secure application platforms, oversee engineering teams, define architecture standards, and ensure system performance across a distributed environment using various technologies.

Design and implement automated quality systems for disaster recovery and production environments, enhancing reliability through automation and intelligent diagnostics, while collaborating with QA and engineering teams.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

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.