lever
Full Stack Engineer / Senior Full Stack Engineer
Leadership Connect
Remote, CAN
Full-time
Senior · 2+ years experience
Remote
Discovered 1 weeks ago
KotlinJavaSpringReactViteTypeScript
Free
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KotlinJavaSpring
Key Skills for This Role
KotlinJavaSpringReactViteTypeScript
Full Job Posting
- Design, build, test, deploy, and maintain full-stack applications that distribute high-value information to our customers.
- Develop backend services and APIs using Kotlin/Java, Spring, and related technologies.
- Build modern frontend experiences using React, Vite, and TypeScript.
- Apply sound component architecture, state-management, asynchronous data-fetching, accessibility, and render-performance practices.
- Work with relational and NoSQL databases, Elasticsearch, and large datasets.
- Participate throughout the Agile development lifecycle, including sprint planning, design sessions, development, testing, deployment, and continuous improvement.
- Collaborate with engineers, product managers, and stakeholders to deliver high-quality client experiences.
- Contribute to code reviews, technical design, engineering standards, and improvements to team practices.
- 2+ years of professional software development experience for mid-level candidates or 6+ years for senior-level candidates.
- Strong computer science and software engineering fundamentals through a CS-related degree or equivalent professional experience.
- Strong proficiency in Kotlin and Java, with experience building server-side applications using Spring or an equivalent framework.
- Strong proficiency building React/Vite applications with TypeScript.
- Strong understanding of relational and NoSQL databases, query languages, and data best practices.
- Knowledge of HTTP, REST, and API design and development.
- Familiarity with state management and asynchronous data-fetching patterns such as TanStack Query.
- Attention to frontend component architecture and render performance.
- Working knowledge of accessibility standards such as WCAG/ARIA.
- Experience with automated testing, including unit and integration/end-to-end testing.
- Experience with Git or other source-control software.
- Use AI to understand unfamiliar codebases, research technologies, plan implementations, write and modify code, develop tests, debug problems, refactor systems, and automate repetitive work.
- Critically evaluate AI-generated solutions, recognize incorrect assumptions, validate implementations, and know when direct engineering investigation is the better approach.
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