Top Remote Senior Level Software Engineer Jobs

As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.

You will develop custom software solutions using Go and SQL for top customers, guide them through complex deployments, improve deployment processes, and collaborate with other teams. Your role involves understanding customer requirements and providing effective solutions for high-scale enterprise deployments.

The Systems Engineer will define and manage system requirements for remote operations of L4 trucking, translating customer needs into actionable system objectives while ensuring requirements are verified throughout the development process.

Our team seeks a Senior Software Engineer responsible for developing high-quality features, collaborating across teams, and ensuring proper testing and documentation. The role involves coding in Java, Ruby, Scala, and JavaScript, along with operating in production, and mentoring junior engineers.

As a Sr. Embedded Algorithms Engineer, you will prototype and implement algorithms for BioIntelliSense products, focusing on vital sign signal extraction from high frequency sensor data. This role involves optimizing algorithms for processor and power constraints, developing testing protocols, and contributing to internal tools for improving algorithm benchmarking and testing capabilities.

The Senior Software Engineer will build and deliver innovative solutions to complex problems, specializing in large-scale web applications, primarily using Go. Key responsibilities include ensuring technical decisions align with business objectives, unblocking the team, leading the adoption of new technologies, and improving team efficiency within an Agile framework.

As a Lead AI ML Engineer, you will design, develop, and deploy machine learning models and data pipelines. Responsibilities include collaborating with data teams to create scalable solutions, using tools like Databricks and Snowflake, while leveraging SQL and Python for data analysis and model training.