Top Remote Python Jobs in San Diego, CA

As Staff Engineer, you will lead a data engineering team, architect data pipelines, mentor engineers, and optimize performance while ensuring system reliability and adherence to standards.

Develop and maintain web applications, focusing on user interfaces. Collaborate with teams, optimize app performance, and ensure compliance with DoD standards.

The Site Reliability Engineer will support IaaS services, monitor infrastructure health, perform root cause analysis, automate processes, and collaborate with teams for service reliability.

The Test Engineer will design, develop, and execute automated tests, collaborate with engineering teams, and advance quality and deployment in a DevOps environment.

As a Senior Cloud Services Consultant, you will lead cloud projects, ensure compliance, mentor teams, and develop strategies for effective cloud solutions.

As an SDET, you'll develop and maintain test automation frameworks, ensure API quality, collaborate with teams, and mentor others in testing practices.

The Staff Engineer will design, implement, and maintain the Aviatrix platform, focusing on scalable distributed systems, mentoring engineers, and collaborating with product teams.

The Senior Systems Automation Engineer will design and implement automation solutions across various internal systems, focusing on workflow automation and integration to enhance operational efficiency. The role involves collaborating with multiple teams to identify needs, develop automation designs, and ensure successful deployment and maintenance of automated systems.

The Principal Architect will design scalable cloud infrastructure, oversee AI service provisioning, and optimize data pipelines using Kubernetes and Azure technologies, mentoring teams in best practices.

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

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.

The ML Engineer will leverage deep learning for natural language processing tasks, impacting Entefy's products while requiring strong machine learning fundamentals and NLP expertise.

Develop and maintain a digital ordering platform for medical equipment, ensuring stability and performance while collaborating with product and design teams.

The Backend Engineer will design, build, and scale Veda's backend systems, ensuring reliability and performance for DeFi applications.

The Detection & Response Engineer will manage detection engineering, response automation, incident management, and threat hunting in a hybrid Web2/Web3 environment, protecting the DeFi platform from various security threats.

As a Site Reliability Engineer, you will enhance system reliability through scalable infrastructure, observability practices, automation, and collaboration with engineering teams.

Lead the development and verification of behavioral requirements for autonomous vehicle systems, collaborating across teams to enhance safety and evaluation capabilities.

As a VP, Protocol Engineer, you will design, deploy, and manage validator infrastructure, optimize workflows, and enhance monitoring and security in blockchain networks.

You will drive feature delivery for the flight booking funnel, integrating with airline loyalty programs and building award ticket pricing logic.

Develop platform driver code, perform diagnostics testing, collaborate with hardware engineers, and support system deployment in AI datacenters.

Design and implement REST APIs and backend services, optimize performance, and ensure system reliability while working with cross-functional teams.

The AEM Technical Lead will oversee AEM environments, implement CI/CD pipelines, manage cloud services, and guide teams on best practices.

Lead development and integration of automation systems and semiconductor equipment for diamond processing, collaborating with teams to enhance system efficiency.

As a Senior Integration Engineer, you will lead the design, development, and validation of healthcare integrations, collaborate with IT stakeholders, manage workflows, and ensure data integrity while troubleshooting issues and advising on best practices.