Top DevOps Jobs in Santa Cruz, CA

As a Senior Backend Engineer at Symbl.ai, you will develop and maintain backend systems, particularly for the Nebula platform. Your role involves collaborating with teams to create high-performance solutions, troubleshooting technical challenges, and contributing to API and microservice evolution while utilizing your expertise in backend engineering and machine learning.

The Software Engineer will be responsible for end-to-end development of features and services, ensuring code quality and maintainability. They will collaborate with cross-functional teams, drive continuous improvements, and innovate technical solutions to complex problems while monitoring system reliability.

As a Lead Backend Engineer, you will design, develop, and maintain scalable backend systems, optimize existing systems, conduct code reviews, and collaborate with engineering and product teams to enhance user experience while mentoring junior engineers.

The Senior Fullstack Engineer will lead technical innovation at Sotheby’s by designing and developing modern marketplace solutions. Responsibilities include building internal and consumer tools, improving user experiences, and collaborating with multicultural teams to optimize processes. The role requires strong communication skills and eagerness to learn while leveraging expertise in distributed systems, microservices, and database management.

As Systems Engineering Manager at NationBuilder, you will lead a team focused on enhancing the platform's reliability and performance. Responsibilities include managing cloud infrastructure, security compliance, and developing engineers. You will collaborate with various teams and drive improvements in operational processes using data-driven insights.

As a Senior Software Engineer specializing in Frontend Engineering, you'll design and develop high-quality user interfaces, collaborating with product managers, designers, and backend engineers. You'll use your expertise in frontend technologies to create responsive, cross-platform applications, implement automated testing, and promote best practices within the team.

The AI Engineer will build and maintain AI-driven solutions, implementing features rapidly, and collaborating on innovative projects in a high-growth environment. Responsibilities include project development from scratch, optimization for LLM-based applications, and writing scalable code.