Looking for a Fullstack (Product) Engineer to design, build, and ship core product experiences using Go, React, Ember, and AI.
Compensation
Starting salary for this role is $150,000 - $250,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.
Responsibilities
Build fullstack features in Go, React, and Ember that power key customer workflows
Collaborate with others to turn ideas into shipped customer value
Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Help evolve our systems to scale with more customers, messages, and use cases
Lead customer implementations from technical discovery through onboarding, go‑live, and stabilization, partnering with sales, product, and engineering to deliver value to shippers.
Compensation
Competitive compensation and meaningful equity ownership.
Responsibilities
Lead implementation and value delivery
Translate customer requirements into implementation plans
Work directly with customer teams to map source data and configure workflows
Analyze and validate customer data
Manage implementation timelines and communicate progress
Requirements
Bachelor’s degree in Business, Information Systems, Supply Chain, or a related field
Nice to have: experience in transportation, logistics, supply chain
Build backend services and APIs for Expedia Group Advertising, focusing on scalable distributed systems, AI-powered optimization, and advertiser-facing experiences.
Compensation
The total cash range for this position in Seattle is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00
Responsibilities
Implement backend APIs and services that power high-quality UI experiences
Build and optimize services that support campaign management and optimization across Expedia Group's advertising network
Improve reliability, scalability, and latency of mission-critical systems
Use LLMs and generative AI to simplify advertiser workflows and automate repetitive tasks
Integrate personalized recommendations and AI-assisted decision support with data scientists and ML engineers
Requirements
Bachelor’s degree in Computer Science or related technical field
Design, build, and support a laboratory operations platform that connects day-to-day lab workflows with our Laboratory Information Management System (LIMS).
Compensation
United States Base Compensation: $114,000.00 - $142,000.00
Responsibilities
Design, develop, test, deploy, and maintain full-stack capabilities across user interfaces, services, APIs, integration middleware, and data layers.
Translate user requests and operational needs into intuitive workflows and user experiences that simplify laboratory work and improve usability.
Define data models and build secure, traceable APIs for exchanging core sample, workflow, status, and metadata between the platform and the LIMS.
Contribute to architecture decisions and optimize application performance, scalability, reliability, security, observability, and supportability.
Extend the platform to integrate with laboratory instruments and automation systems.
The role involves prototyping, designing, developing, and supporting a highly scalable SaaS-based cloud security platform using open-source technologies.
Responsibilities
Research, prototype and develop solutions to innovate and improve Qualys’ technology platform.
Design and implement distributed, scalable, high-performance micro service-based applications
Produce high-quality software with a scalable architecture and design principles
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