Top Software Engineer Jobs in Seattle, WA

The Staff Backend Developer will focus on transforming the Money product architecture, enhancing banking core functionalities, and managing member-facings services, including data management and entitlements. Responsibilities include overseeing the development lifecycle, project management, code contributions, and process improvements while ensuring compliance with guidelines and effective communication with stakeholders.

The Senior Software Engineer for the Test Platform will design, develop, and maintain systems that enhance testing for backend and web applications. They will lead technical initiatives, collaborate with product engineering teams, and promote best practices in code and testing strategies, while also researching solutions to enhance developer productivity.

The Staff Software Engineer will design, develop, and deliver scalable cloud infrastructure solutions using AWS and infrastructure-as-code tools like Terraform. The role includes driving technical strategy, mentoring team members, and collaborating with cross-functional teams to enhance productivity and innovation.

The Senior Staff Software Engineer will design and implement scalable and secure entitlement management systems. Responsibilities include mentoring team members, overseeing user identity data management for compliance, and leading technical innovation within the Digital Identity team.

The Staff Module Engineer will customize and develop ServiceNow's GRC modules, lead implementations, and integrate systems to enhance governance, risk, and compliance processes. Responsibilities include troubleshooting issues, documenting configurations, collaborating with stakeholders, and recommending improvements based on ServiceNow updates.

As a Staff Back-End Software Engineer, you will lead a team in developing and maintaining scalable backend systems for our financial wellness platform. Your responsibilities include shaping technical architecture, mentoring engineers, and ensuring high service quality. You will also work collaboratively on microservice-based applications using Java, Kotlin, AWS, and more.

The Principal Engineer, Machine Learning / AI will drive technical capabilities in ML and AI across multiple teams, mentor data scientists, lead technical standards, and advocate for best practices. The role involves hands-on development of ML/AI products and collaboration across various business units to enhance systems and products.