Top Software Engineer Jobs in Seattle, WA

The role involves managing engineering projects related to Personal Flotation Devices by determining project specifications, establishing test programs, and ensuring compliance with UL requirements. Responsibilities include communicating with clients, executing project plans, and preparing technical reports. Occasional travel for tests at client sites is also required.

As a Technical Leader in QA, you will drive the quality assurance of Cisco's Hypershield solution, developing testing methodologies and collaborating across teams. You'll work in an agile environment, taking ownership of product quality while mentoring automation engineers. Your experience in cloud computing and network security will be vital as you define and execute testing strategies.

As a Software Engineer Principal, you'll align business strategy with software solutions, propose and code innovative software addressing complex needs, lead problem-solving efforts, and provide technical guidance while ensuring customer focus and risk management.

The Staff Software Engineer will work with the Customer Experience Engineering team to build tools that automate tasks, enhance product quality, and guide stakeholders in achieving successful outcomes. Responsibilities include collaborating on technical roadmaps, improving processes, and mentoring peers in software development.

The Senior Solutions Engineer provides pre-sales support for complex managed services solutions in a cloud hosting environment, collaborates with sales, product, marketing, and engineering teams, mentors other engineers, and architects solutions to address technical and business challenges. An essential part of the role includes maintaining extensive knowledge of RapidScale products and services while also engaging with clients and assisting in proposal development.

Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.

As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.