Acceldata is reimagining the way companies observe their Data!
Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.
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 using
Node.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)
We care for our team
- Mentorship & Growth
- ESOPs
- Medical and Life Insurance
- Paid Maternity & Parental Leave
- Corporate Uber Program
- Learning & Development Support
Acceldata for All
We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual.
Why Acceldata
Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments.
Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
