Top Remote Software Engineer Jobs

As an engineering intern, you will develop AI solutions, collaborate with teams, optimize algorithms, document your work, and showcase projects.

Develop high-reliability software for safety-critical applications in UAS technology. Collaborate with teams, maintain solutions, and automate processes.

The Salesforce Developer is responsible for designing and maintaining Salesforce solutions, collaborating with various teams, and enhancing platform capabilities, including Revenue Cloud and AI automation.

The Forward Deployed Engineer will manage customer deployments, handling all aspects from initial contact to ensuring successful usage, including data engineering, backend services, frontend development, and customer training.

Lead design, development, maintenance, and troubleshooting of intranet applications using Angular and SQL Server. Architect systems, integrate APIs, ensure information security, mentor junior staff, and manage project timelines and stakeholder communications.

Work with clients to gather and document requirements, rapidly prototype solutions (including AI tools), present and iterate on designs, bridge business and technical teams, collect user feedback, and support product quality and decision-making.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

The Forward Deployed Engineer is responsible for customer onboarding, running demos, building POCs, and driving account expansion while being the technical face of the company.

The Senior Data Engineer will design and build scalable data platforms, implement data pipelines, and improve data operations using Azure and various modern tools.

Design and build the control plane for Postgres clusters, ensure data protection, automate database operations, and collaborate with customers to enhance the platform.