Top Java Developer Jobs in Seattle, WA

As an Engineering Manager, you will lead a team in building a transaction management platform, ensuring compliance with data privacy laws, mentoring engineers, and overseeing the software development lifecycle. You will collaborate with various teams to align technical solutions with business objectives and drive innovation while fostering a high-performance culture.

As a Staff Backend Engineer at Coupang's Fulfillment Center Systems Tech, you will lead architecture design for scalable and reliable Fulfillment Center systems, align technology roadmaps with stakeholders, address organizational technical challenges, and mentor engineering talent while driving automation and robotics initiatives.

In this Software Developer role at ABC Legal Services, responsibilities include software development life cycle activities, front-end development, microservices, cloud technologies, automated testing, project ownership, collaboration with colleagues, problem-solving, architectural decisions, and performance improvements.

The Power Platform Senior Solutions Engineer creates and architects software solutions using Microsoft Power Platform. They analyze needs, leverage Microsoft 365 tools, provide technical leadership, and collaborate with teams and partners to deliver effective solutions while staying updated on technology trends.

As a Senior Software Engineer on the Partner Portal team, you will design and develop software, collaborate with teammates, drive complex changes, implement product features, and ensure high-quality releases while promoting diversity and mentorship within a global team.

As a Staff Software Engineer at Robinhood, you will develop data ingestion pipelines processing vast amounts of data daily. This role involves collaboration with data-related teams and requires proficiency in data engineering technologies and coding. You'll also mentor engineers and establish data operation standards.

As a Specialist Solutions Architect in Data Engineering, you will guide customers in building big data solutions on Databricks, providing technical leadership and expertise. Responsibilities include architecting data pipelines, assisting in advanced technical sales, training, and contributing to the Databricks community. Proficiency in big data technologies, such as Apache Spark and data engineering practices, is essential.