Top Engineering Jobs

As a Network Engineer IV at Spectrum, you will design and develop complex network systems ensuring stability and scalability, mentor junior engineers, and manage projects. Responsibilities include troubleshooting network issues, collaborating with architects, and documenting project requirements to support business operations effectively.

The Desktop Engineer will manage the VDI environment, ensuring access to crucial applications and optimizing performance for financial services, with a focus on AWS solutions.

Lead and mentor a team of software engineers in developing high-quality, maintainable software applications while partnering with stakeholders and promoting continuous delivery and learning.

As a Cloud Security Engineer, you'll secure cloud infrastructure, manage AWS and Kubernetes security solutions, conduct assessments, and mentor engineers.

Join InterSystems to enhance and develop clinical software in a cross-functional Agile team, focusing on application quality and testing strategies.

Design, build, and maintain scalable backend services and APIs for commerce workflows using Python/Django. Improve reliability, performance, and observability, operate AWS deployments, work with PostgreSQL and event-driven architectures (SNS/SQS), modernize legacy systems, and support CI/CD, testing, and production troubleshooting.

The Backend Product Engineer will enhance the Radar platform, manage API traffic, engage with customers, and work across various backend technologies to drive product success.

The Senior QA Engineer will develop and maintain automation frameworks, write test cases, and ensure software quality while collaborating with various teams. Key responsibilities include managing testing lifecycles and participating in system design discussions.

Lead the design and development of data systems for cancer detection, collaborating with scientists and engineers to deliver robust datasets and improve data quality.

Lead incident response and reliability improvements for iManage Cloud. Triage large-scale production issues, build observability and automation, run postmortems, partner with product and engineering, and proactively detect and eliminate systemic problems to improve uptime and customer experience.