Top Remote Python Jobs in San Diego, CA

The Senior Product Engineer will design and build AI-driven, full-stack financial workflows, oversee architecture, and mentor engineers while ensuring high-quality, reliable systems.

Lead end-to-end platform engineering projects to build and operate a multi-tenant data lakehouse and scalable compute infrastructure, partner with cross-functional teams, improve reliability/observability, support platform users, and drive platform usability and ML/analytics enablement.

Conduct audits of AWS infrastructure and Python/Django applications, provide recommendations for scalability and security, and implement high-availability solutions.

The ERP Project Technical Lead manages and oversees the technical development team, ensures project scope is tracked, facilitates communication between functional and technical teams, and enforces development standards.

Lead technical initiatives and oversee product delivery, translating requirements into scalable software designs while collaborating with cross-functional teams.

The Senior Software Engineer will develop features, maintain quality, review code, and collaborate on product design for the EnrollWise platform, focusing on back-end and some front-end work.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Manage and evolve enterprise-scale API Gateway integration platforms, implement IAC and AWS-based infrastructure, ensure observability and reliability, mentor engineers, lead platform enhancements, drive SRE practices (SLOs/SLIs), perform debugging/testing, and produce operational documentation.

The Software Development Manager will lead a team to develop new products, oversee project management, and enhance software solutions while ensuring timely delivery and team performance.

As a Senior DevOps / Platform Reliability Engineer, you will manage CI/CD pipelines, automate infrastructure, operate Kubernetes, and enhance observability while ensuring security and compliance for enterprise systems.

Lead architecture, delivery, and operation of large distributed telemetry databases. Define technical strategy, SLOs/SLIs, and reliability practices; drive performance, cost, and observability improvements; lead incident response and cross-team projects; mentor engineers; and represent engineering to stakeholders.

You will develop and maintain components of the LLVM based toolchain, collaborating with the community while ensuring platform-specific optimizations and tests.

Define the architectural foundation for processing unstructured data for LLM applications. Oversee the core platform's development and mentor engineering teams.

The Staff Engineer will build data-driven experimentation systems, lead statistical engine design, ensure correctness in A/B testing, and mentor team members while collaborating cross-functionally.

Lead Fullstack Developer responsible for team leadership, architectural decisions, and implementation of backend and frontend solutions using various technologies, with a focus on AI.

The Forward Deployed Engineer integrates CrewAI's products into client systems, ensuring successful implementation by understanding technical requirements and business contexts. They lead deployable solutions, conduct workshops, and monitor performance, ultimately enhancing client satisfaction and value delivery.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

The Software Engineer will design and implement reliable services and APIs using Golang and Python, ensuring performance, scalability, and system reliability while collaborating with cross-functional teams.

Deploy, operate, and support the Istari platform across customer environments, including cloud, on-premises, Kubernetes, and air-gapped deployments. Configure infrastructure as code, networking, identity federation, IAM, secure data sharing, and production services. Troubleshoot complex infrastructure issues, build reference architectures, and communicate with technical and non-technical customer stakeholders. The role requires strong DevOps and Kubernetes expertise, automation skills, customer-facing consulting experience, and familiarity with regulated environments.

Build and mature DevOps automation processes and infrastructure. Own the GitLab foundation, including repository standards, CI/CD pipelines, testing, releases, and deployment coordination. Maintain automation and orchestration platforms, define cloud, virtualized, and physical infrastructure requirements, and establish safe AI-assisted automation policies. Partner with security, risk, systems, NOC, and business teams on requirements and deployment. The role requires Python, AWS, Ansible, Terraform, Docker, network automation, and release management expertise.

The Senior Software Engineer will develop reliable systems for IoT fleet management, create user interfaces, and support data engineering tasks.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The Senior Platform Engineer designs and operates Kubernetes infrastructure, automates tasks, enforces platform standards, and collaborates across teams to improve engineering velocity and scalability.

Design, build, and support cloud-native full stack or backend Java products using TDD, CI/CD, microservices and event-driven patterns. Collaborate with product teams, provide production support, implement monitoring and ensure secure, performant systems.

The Engineering Manager will lead teams building a scalable device passport platform, mentor engineers, manage backlog, and contribute coding while ensuring quality and documentation standards.