Top Software Engineer Jobs

The Senior Staff DevOps Engineer will lead the development and implementation of scalable cloud-native infrastructure using AWS and Kubernetes. Responsibilities include architecting complex environments, driving cloud migrations, developing observability solutions, and mentoring junior engineers while aligning technology with business goals.

As a Linux Engineer, you will manage the health of systems in a trading environment, lead infrastructure projects, automate processes, develop monitoring systems, and collaborate with development teams on performance tuning. You will also be involved in R&D efforts to evaluate new technologies.

The Systems Engineer will lead the design and development of medical devices, focusing on user requirements, risk management, and compliance with FDA regulations. Responsibilities include managing the device user manual, collaboration with cross-functional teams, maintaining traceability, and ensuring the implementation of design controls.

The Lead Software Engineer will design, code, and troubleshoot features for Instnt’s financial technology product, focusing on API and backend services. Responsibilities include mentoring engineers, collaborating with other teams, and ensuring software quality and security while keeping up with tech advancements.

The Quality Assurance Specialist II oversees quality systems management, including deviations, change controls, and document management, and is responsible for batch release decisions, ensuring compliance with regulatory standards, and supporting continuous improvement initiatives in quality operations.

The Stress Engineer will analyze damage and repair scenarios, calculate fatigue stress and section properties, conduct crack growth analysis, and prepare detailed reports. Responsibilities include understanding structural integrity and inspection requirements while supporting aerospace repair engineering and collaborating with technical teams.

The Enterprise Data Integrations Specialist is responsible for managing data integration projects across internal and external systems, ensuring high-quality and optimal performance. Key responsibilities include system discovery, integration strategy, data mapping, and onboarding new data sources into the data architecture while supporting operational cutover and improving data quality.