• Ship full-stack features end-to-end as a member of a Pod • Develop APIs and integrate with external services and databases • Build front-end interfaces with a focus on user experience • Design and implement AI-powered features • Collaborate with product managers and engineers • Optimize application performance through caching and efficient algorithms • Write thorough unit and integration tests • Participate in code reviews and mentor junior engineers • Share production support responsibility on a rotating basis • Stay current with emerging AI tools and full-stack technologies

• Ship full-stack features as part of a Pod, working alongside senior engineers using technologies like Node.js, React, Golang, MongoDB, ElasticSearch, and AWS • Build and maintain APIs, and learn how to integrate with external services and databases the right way, with an eye toward data integrity and security • Build front-end interfaces with growing attention to user experience, responsiveness, and accessibility • Get exposure to AI-powered feature development and start contributing to it as your skills grow • Work closely with product managers and more senior engineers to understand requirements, and start forming your own opinions on design and UX along the way • Write unit and integration tests, and build the habit of testing thoroughly from the start of your career • Participate in code reviews, both giving and receiving feedback, as a core part of how you grow • Share in production support responsibilities on a rotating basis, including on-call and bug triage, so you learn what it really takes to run software in the real world • Explore new AI tools and full-stack techniques, and bring what you learn back to the team • Ramp up on unfamiliar parts of the codebase using AI tooling, documentation, and the people around you, and get comfortable asking questions early and often

• Lead the design, development, and maintenance of Linux kernel components for our products/services at CIQ. • Collaborate with cross-functional teams to gather requirements and translate them into efficient and scalable kernel designs. • Write high-quality, modular, and well-documented code in C and other relevant languages, adhering to coding standards and best practices. • Develop and maintain kernel-specific testing and automation tools to improve how we build, test, and release kernels. • Debug and resolve complex kernel-level issues, including memory management, process scheduling, and inter-process communication. • Collaborate with hardware engineers and other stakeholders to ensure seamless integration of kernel components with hardware platforms. • Stay updated with the latest advancements in the Linux kernel community and relevant technologies, evaluating their potential impact on our products and services. • Review code submissions from team members and provide constructive feedback to maintain code quality and consistency. • Conduct performance analysis and optimization of kernel components to meet specified performance targets. • Document design decisions, APIs, and processes for future reference and knowledge sharing. • Provide guidance and mentorship to junior developers, fostering their growth and development.

• Build Blazor WASM components with clean, reusable patterns and accessibility in mind • Implement Minimal API endpoints in .NET with OpenAPI, validation, and performance in focus • Contribute to our MAUI mobile app, including shared component libraries • Work with EF Core and SQL (Postgres); define/maintain database relationships and manage code-first EF Core migrations • Support real time UI behavior using SignalR where needed • Leverage Claude Enterprise to generate, refactor, and maintain test scripts efficiently, and help define best practices for AI-assisted testing on the team. • Integrate authentication/authorization via Microsoft Entra ID (OIDC/OAuth2, MSAL, roles/scopes) • Ship via Azure DevOps (repos, pipelines, environments), following branch policies and PR reviews • Improve code quality through SonarCloud rules aligned with our standards • Generate and consume API clients from OpenAPI/Swagger for typesafe integration • Instrument services with distributed tracing and logging using Azure Application Insights • Help monitor service health, failure rates, and performance; participate in alert triage for staging/production • Work in three-week sprints with Product to refine user stories and acceptance criteria