Top Engineering Jobs

The Staff Software Engineer, Backend will lead backend development, modernize the tech stack, ensure service quality, and mentor engineers.

The Industrial Engineer will lead projects to improve production processes, prepare cost estimates, maintain BOMs, conduct training, and analyze efficiency trends.

The Business Advisor, SAP Technical serves as a liaison between business users and IT, managing technical issues, enhancing SAP solutions, and providing support.

The role involves managing onboarding tasks for funds, monitoring fund health, supporting engagement with Advent services, and sprint activities like system enhancements and report delivery.

The role involves ensuring the integrity of network devices and systems, supporting and configuring network infrastructure, and conducting in-service training. Requires 10 years of hands-on experience with network technologies and cloud platforms.

The Staff Software Engineer will lead architecture for high-scale software systems, manage product lifecycles, mentor team members, and ensure performance and reliability for money movement products.

Develop new products from concept to deployment, shape product roadmap, and establish engineering standards in a collaborative environment.

As a Senior Software Engineer at Unify, you will focus on scaling the platform, driving the technical roadmap, establishing engineering standards, evaluating new tech, and mentoring engineers.

Lead a team delivering integrations, automation, AI-enabled solutions, and digital workflows. Manage SDLC activities, Agile delivery, stakeholder partnerships, change management, and talent development to ensure safe, scalable, and value-driven application services.

As an Engineering Intern, you'll assist with manufacturing projects, support process improvements, troubleshoot issues, and gain hands-on engineering experience.

Lead and own Mirum's Salesforce Life Sciences Cloud platform for Patient CRM and HCP Portal. Drive post-go-live stabilization, platform governance, integrations, support models, stakeholder prioritization, and continuous improvement to ensure scalable, compliant operations.

The AI Engineer will develop and optimize AI models and high-performance software systems for drug discovery, collaborating with researchers and maintaining infrastructure.