Top Remote Software Engineer Jobs in Minneapolis, MN

As an Engineering Manager at HeartFlow, you will lead a team of engineers to develop and improve customer-facing web applications. Responsibilities include overseeing project lifecycles, collaborating with other teams, maintaining high code quality, and ensuring compliance with medical software regulations.

The Principal DevOps Engineer at interface.ai is responsible for creating deployment strategies, designing and optimizing automation systems for web and data infrastructure platforms, and maintaining build systems. The role involves significant hands-on work with Python, Docker, Kubernetes, Ansible, and AWS, focusing on infrastructure management, automation, and ensuring high availability and disaster recovery planning.

As a Scala Software Engineer at Avetta, you will collaborate with a small agile team to design, build, and enhance SaaS RESTful APIs. Your role involves writing clean and scalable code, participating in pair programming, automating testing and deployment, and continuously innovating features to improve the integration platform.

The Intermediate Data Engineer will enhance data warehousing and clean room architecture, collaborate to build data models, and develop features using agile methodologies while working with various teams on requirements.

The Solutions Engineer at Algolia will focus on technical pre-sales, working closely with sales teams to drive product adoption and success. Responsibilities include facilitating technical demos, understanding customer needs, and ensuring successful onboarding post-sales. The role requires strong communication skills and the ability to relay customer feedback to product and engineering teams.

The Senior IMS Systems Programmer will provide software support for Ensono's mainframe clients, manage IMS systems programming, assist with IMS upgrades, and troubleshoot IMS-related issues. The role requires adhering to best practices and resource management for timely implementations.

The Senior Software Engineer will design and maintain ML infrastructures using Kubernetes, optimize ML inference with CUDA, and enhance CI/CD processes. The role involves leading model scheduling and resource allocation efforts while collaborating with teams to innovate ML deployment systems.