Design, build, and operate high-throughput backend services that power insurance and fintech products across the Expedia platform
Compensation
The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Design, build, and operate high-throughput backend services
Lead and contribute to complex, cross-team initiatives
Develop scalable APIs, pricing engines, and data models
Contribute to zero-to-one product launches
Write clean, maintainable, and testable code
Requirements
Bachelor’s degree in Computer Science or a related technical field
A senior-level technical leadership role involving ownership of production systems and large-scale delivery initiatives, focusing on AI application patterns like RAG, semantic search, and agent-based systems.
Responsibilities
Ownership of production systems and large-scale delivery initiatives
Building backend services, APIs, and scalable production systems
Operate across architecture, data, and platform layers
Requirements
Bachelor’s degree in Computer Science
Engineering
related field
Nice to have: advanced degree
Nice to have: experience in financial services or other regulated industries
Building infrastructure, tools, and services for the theory physics part of a quantum computing system, focusing on software architecture, APIs, and workflow orchestration.
Responsibilities
Design, develop, and maintain software infrastructure, tools, and services supporting the quantum compiler and algorithms team.
Collaborate with researchers and algorithm developers to translate their outcome and software needs into robust, reusable components.
Build frameworks for configuring, executing, and monitoring workflows that use compilation and algorithmic components developed by the other team.
Define and implement APIs, data models, and interfaces connecting those components with runtime environments and other software services.
Develop integration environments that support research, development, simulation, and hardware execution.
Requirements
B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or a related field
Lead the design and implementation of production-grade AI agent systems, including backend services, orchestration, retrieval, evaluation, observability, and deployment.
Own the technical design and implementation of AI agent systems
Build robust backend services, APIs, adapters, and connectors
Design agent workflows involving tool use, routing, state management, memory, retrieval, human-in-the-loop steps, and controlled multi-step execution
Develop retrieval and knowledge-grounding capabilities, including RAG pipelines, SQL-based agents, web search, reranking, citation, and context management
Define and implement evaluation strategies using representative datasets, golden tests, failure taxonomies, regression testing, human review, and production feedback
Requirements
Master’s degree in Computer Science, Software Engineering, or a related technical field
Design, develop, and maintain secure, scalable backend systems for an Intelligence Community customer.
Locations (3)
Annapolis Junction, Maryland, United States
Washington, District of Columbia, United States
Reston, Virginia, United States
Responsibilities
Design, develop, implement, and maintain backend application functionality using Python, Docker, Kubernetes, OpenSearch, PostgreSQL, and other approved technologies.
Develop and maintain backend services and RESTful APIs, incorporating request validation, comprehensive error handling, and secure authentication and authorization mechanisms.
Utilize Pydantic for data validation and SQLAlchemy for database access, object-relational mapping, and efficient data management within Python applications.
Own quality assurance across the full testing lifecycle while contributing to modernization of legacy systems for DHS ICE.
Compensation
$90-100k DoE
Responsibilities
Design, implement, and optimize comprehensive test scripts and test plans that align with system modernization objectives
Identify, document, and track defects through resolution, ensuring clear and actionable reporting
Coordinate with the development team and stakeholders to ensure requirements are comprehensively understood and tested
Actively participate in all relevant meetings (sprint ceremonies, planning sessions, stakeholder reviews) to ensure testing activities and effort are clearly communicated
Seek to continuously improve testing processes to align with evolving requirements and rapid delivery cadences
Requirements
Bachelor's degree in Computer Science, Information Technology, or related field
Design, build and operate the core platform powering JazzX AI’s enterprise digital workers, including agent runtime, workflow orchestration, and integration capabilities.
Responsibilities
Design and build production‑grade backend services and reusable platform capabilities for agent runtime, orchestration, state, memory, guardrails and model access.
Develop agentic workflows using planning, tool use, multi‑agent collaboration, parallel execution, reflection and human‑in‑the‑loop.
Build durable, long‑running workflows with retries, timeouts, state management, recovery and compensation.
Design asynchronous and event‑driven systems using queues, messaging and distributed processing.
Build secure enterprise integrations, APIs and protocol‑based interfaces for tool invocation and agent‑to‑agent communication.
This role focuses on supporting as the Embedded QA for the teams in their tasks within our multiplayer online game, Star Citizen, and our story-driven single player epic Squadron 42.
Responsibilities
Support the teams by improving existing testing procedures and identifying requirements
Verify game features, systems, and tools daily and provide feedback for the team
Create, execute and maintain test cases on assigned projects as well as ad-hoc testing on focused areas
Act as point of contact and liaison for QA support
Compose regular progress updates and reports for leadership
Requirements
Nice to have: Passion for video games especially for sim/space games
Build and deploy AI-enabled solutions across investment, finance, compliance and operations teams, combining full-stack engineering, data pipelines, system integrations and AI experimentation.
Compensation
Compensation range: CAD$90,000 to CAD$130,000
Responsibilities
Partner with business units across investment, finance, compliance and operations to understand operational problems, scope technical solutions, and rapidly prototype and iterate based on real-world feedback.
Design and build data pipelines that move, transform, and prepare data from internal systems for use in AI and analytics workflows.
Own end-to-end integrations between internal platforms and third-party APIs, including authentication, error handling, and ongoing maintenance.
Contribute to foundational infrastructure decisions – data storage, service architecture, deployment patterns – as the firm's data and AI platform matures.
Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale.
Requirements
Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience.
Nice to have: experience in financial services or alternative asset management
Nice to have: familiarity with structured financial data
Design, implement, and maintain PostgreSQL database schemas, queries, indexes, and migrations, ensuring optimal performance, scalability, and data integrity.
Develop and maintain Docker images and containerized applications, including writing Dockerfiles, configuring containers, and troubleshooting deployment-related issues.
Requirements
Bachelor's degree
Master's degree
Nice to have: Advanced Python
Nice to have: Familiarity with U.S. Department of Defense and Intelligence Community
Nice to have: Experience with continuous integration/continuous deployment
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