Staff Frontend Engineer
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 28, 2025. Acceldata scores B on the Alion truth index.
A day in the life of a Principal Frontend Engineer
Architect and build a scalable frontend platform using React and TypeScript for a Kubernetes-native data product.
Design intuitive UIs for:
-Kubernetes cluster visibility (nodes, pods, workloads).
-Spark job lifecycle management (submission, monitoring, debugging).
-Data pipeline observability and performance metrics.
Define frontend patterns for:
-Real-time data streaming, polling, and state synchronization
-Handling large datasets (tables, logs, metrics, traces)
Collaborate with backend teams to integrate with:
-Kubernetes APIs (resources, events, logs)
-Spark execution and monitoring systems
Build high-performance, data-intensive dashboards with efficient rendering and virtualization.
Establish a lean, extensible frontend architecture suitable for an early-stage product (avoid over-engineering).
Define API contracts, data-fetching strategies, and error-handling standards for distributed systems.
Optimize frontend performance (lazy loading, code splitting, caching, minimizing re-renders).
Implement frontend observability (error tracking, performance monitoring) for production systems
Mentor engineers and establish frontend best practices, coding standards, and design guidelines
You are a great fit for the role, if you have
12-15 years of experience in building modern, scalable frontends using frameworks such as Angular,React or Typescript.
Strong experience in frontend architecture & system design (modular design, state management, API layers).
Proven experience building data-intensive UIs (dashboards, large tables, logs, analytics tools).
Expertise in JavaScript / TypeScript, HTML, CSS, Material UI, Vue.JS.
Develop and integrate backend services usingNode.JS
Write unit and integration tests using Jasmine and Karma to ensure code quality.
Strong performance optimization skills (rendering, virtualization, lazy loading, re-render control).
Solid experience with API integration & async data handling (pagination, retries, error states).
Experience handling real-time / near real-time data in frontend applications.
Strong code quality practices (clean code, code reviews, testing).
Work efficiently with development tools such as VS Code and Cursor.
Good to have
Working knowledge of Kubernetes (pods, deployments, logs, metrics)
Basic understanding of Apache Spark (jobs, stages, execution lifecycle)