Top Remote Software Engineer Jobs in St. Louis, MO

As a Software Engineer at Warp, you will engage in design, coding, testing, and documentation while collaborating with teams to enhance developer productivity. Your role involves improving performance and reliability, prototyping ideas, and mentoring peers in a user-centric product environment.

The role involves guiding Plaid's strategic Fintech customers in leveraging Plaid's solutions to achieve their technical and business objectives. Responsibilities include managing post-sales technical strategy, directing technical product usage, advocating for innovation, and resolving technical issues.

The Staff Software Engineer will lead the development of core frontend architectures, enhance team productivity, manage complex projects, and provide technical guidance while mentoring team members. This role requires significant input in shaping product strategies and ensuring the delivery of high-quality software solutions.

As a Senior Backend Engineer on the Audience team at VideoAmp, you will build APIs for media planning in advertising campaigns, collaborate with teams to ensure data accuracy, and implement reliable data pipelines. You'll primarily use Go and Python to develop RESTful APIs and work with cloud technologies like AWS and Kubernetes.

The Senior Autonomy Systems Engineer at Cruise will define requirements for autonomous vehicle operations, perform analyses on vehicle behaviors, develop simulation tests, and utilize risk management tools for decision-making. The role requires leading data analyses to improve systems and create methods for verifying software changes' impacts on engineering requirements.

Design and build data warehousing and analytics capabilities, maintain existing systems, develop new features, and implement performance improvements using various data tools and technologies.

The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.