Top Remote Software Engineer Jobs in Santa Cruz, CA

The Senior Manager of Software Engineering will lead multiple teams of full stack engineers and BI developers, overseeing the product roadmap and ensuring the quality of software architecture. Responsibilities include technical requirement gathering, fostering innovation, developing secure code, and mentoring team members while solving complex technical problems.

As a DevOps Engineer at Checkmarx, you will design, build, and secure production environments using infrastructure-as-code practices with various tools. Your responsibilities include monitoring production environments, implementing security best practices, and collaborating with engineering teams to define infrastructure requirements.

As a Machine Learning Engineer, you'll develop AI-driven solutions to combat vehicle theft by training and evaluating models. Tasks include exploratory data analysis, collaborating with data teams, and integrating machine learning solutions to enhance user experiences.

As a Solutions Engineer at ArcSite, you will collaborate with customers to understand their AEC needs and develop custom technology solutions. Your role involves conducting research, designing tailored solutions, delivering technical demonstrations, and providing post-sale support to ensure customer satisfaction and ongoing product optimization.

The Entry-Level Quality Assurance Specialist will perform quality checks on websites and digital assets, collaborating with project managers and developers to ensure the client’s goals are met. The role involves documenting bugs, providing feedback, and participating in training while supporting ongoing tasks related to accuracy and detail.

The AWS Presales Solutions Architect leads a professional services team in implementing and designing cloud solutions using AWS technology. Responsibilities include understanding customer requirements, providing architectural guidance, leading workshops, and ensuring successful cloud deployments. The role requires extensive experience in enterprise IT, strong presentation skills, and a passion for cloud computing.

The Senior Machine Learning Developer will design and deploy scalable machine learning models and develop data pipelines for AI-driven construction planning tools. Responsibilities include optimizing real-time AI models, guiding junior developers, and collaborating with stakeholders to create effective AI solutions.