12 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect and build a scalable frontend platform using React and TypeScript for a Kubernetes-native data product.
- Design user interfaces for Kubernetes cluster visibility, Spark job lifecycle management, and data pipeline observability.
- Define frontend patterns for real-time streaming, polling, state synchronization, and large datasets such as tables, logs, metrics, and traces.
- Collaborate with backend teams to integrate Kubernetes APIs and Spark execution and monitoring systems.
- Build high-performance dashboards using efficient rendering and virtualization techniques.
- Define frontend architecture, API contracts, data-fetching strategies, and error-handling standards for distributed systems.
- Optimize frontend performance through lazy loading, code splitting, caching, and minimizing re-renders.
- Implement frontend error tracking and performance monitoring for production systems.
- Mentor engineers and establish frontend best practices, coding standards, and design guidelines.
- Develop and integrate backend services using Node.js.
- Write unit and integration tests using Jasmine and Karma.
Requirements
- 12–15 years of experience building modern, scalable frontends using frameworks such as Angular, React, or TypeScript.
- Strong experience with frontend architecture and system design, including modular design, state management, and API layers.
- Proven experience building data-intensive user interfaces such as dashboards, large tables, logs, and analytics tools.
- Expertise in JavaScript, TypeScript, HTML, CSS, Material UI, and Vue.js.
- Strong frontend performance optimization skills, including rendering, virtualization, lazy loading, and re-render control.
- Solid experience with API integration and asynchronous data handling, including pagination, retries, and error states.
- Experience handling real-time or near-real-time data in frontend applications.
- Strong code-quality practices, including clean code, code reviews, and testing.
- Experience using development tools such as VS Code and Cursor.
- Working knowledge of Kubernetes, including pods, deployments, logs, and metrics, is preferred.
- Basic understanding of Apache Spark, including jobs, stages, and execution lifecycle, is preferred.
Benefits
- Mentorship and growth opportunities.
- ESOPs.
- Medical and life insurance.
- Paid maternity and parental leave.
- Corporate Uber program.
- Learning and development support.
Tech Stack
Categories
About Acceldata
Acceldata builds an agentic data management and data observability platform for enterprises to monitor data pipelines, data quality, and compute performance, and deliver trusted data for AI and analytics. It sells enterprise software, delivered as a cloud service or on‑premises, with subscriptions and professional services for deployment and integration. Founded in 2018 and headquartered in Campbell, California, it serves global enterprises including Nestlé, Dun & Bradstreet, Hershey, PhonePe, and TPG Telecom, and raised a Series C in 2023.