--- title: 'Principal Frontend Engineer at Acceldata' canonical: 'https://feeny.ai/job/principal-frontend-engineer-acceldata-bengaluru-p4pahvbdzpb8' type: 'job' last_seen: '2026-09-10' --- # Principal Frontend Engineer at Acceldata - **Company:** Acceldata - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-10-28 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.lever.co/acceldata/040901c5-dbe2-4858-a893-b10b394ea2ae ## Job description 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. ## About Acceldata ## Company Overview - **One-liner**: Acceldata provides an autonomous agentic data management platform that enables enterprises to observe, govern, and optimize complex data and AI workloads across hybrid cloud environments. - **Entity Type**: Private (Series C) - **Headquarters**: Campbell, California, USA - **Founded**: 2018 - **Founders**: Rohit Choudhary (CEO), Ashwin Rajeeva (CTO), Raghu Kandikonda (Co-Founder & VP Engineering) ## Core Business - **Primary industry**: Data Observability, Agentic Data Management, AI Infrastructure - **Target customers**: Large enterprises (B2B, Enterprise) – customers include Dun & Bradstreet, AT&T, Oracle, DBS - **Mission statement**: Deliver the promise of data quality and reliability at exabyte scale, blending the best of on-premises and cloud worlds, and providing real-time AI monitoring with structured, unstructured, and streaming data inputs. ## Products & Services - **Data & AI Observability**: End-to-end visibility into AI agents, Hadoop, data quality, pipelines, and platforms. - **Agentic Data Management**: Autonomous detection, diagnosis, and resolution across the data estate. - **Data Warehousing**: Modern data warehousing capabilities built on the xLake platform. - **Data Platform Modernization**: Open-source foundation for Hadoop modernization across cloud, on-prem, and hybrid environments. - **xLake Platform**: The unified, customer-controlled control plane that runs every Acceldata product. Federated compute planes execute workloads where data resides, with built-in governance, observability, and lineage. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Total Funding – Series C round (amount undisclosed); over 1 trillion data and agent interactions daily; 200+ teams worldwide rely on Acceldata. - **Notable Investors/Partners**: Insight Partners (lead investor); key customers include Dun & Bradstreet, AT&T, Oracle, DBS. - **Growth Signals**: Headcount growth to 201–1000 employees; expansion into Canada (Kitchener) and UK (London); new product launches (xLake, Agentic Data Management); recognition as pioneer and leader in data observability category. ## Competitive Advantages - First to coin the term “Data Observability” and pioneer the category. - Unified xLake platform with a single control plane that works across hybrid cloud, on-prem, and edge. - Patented technology in data processing and related fields; contributions to Apache Ambari and Apache Zeppelin. - Deep expertise in complex data systems from founders’ experience at Hortonworks, Zalando, and Adobe. - Agentic approach – autonomous detection and resolution reduces manual intervention. ## Strategic Focus - Accelerating enterprise adoption of autonomous data management and AI agents. - Expanding hybrid cloud capabilities so workloads run where data lives. - Enhancing the agentic brain for orchestration, governance, and observability of AI agents and data pipelines. - Growing the platform from a single product to a suite of products (Observability, Data Management, Warehousing, Modernization) that can be used individually or together. ## Why Work Here - **Culture highlights**: Acceldata describes itself as a dynamic, innovative environment where creativity thrives, ideas flourish, and collaboration fuels breakthroughs. Values curiosity, diversity, and a shared commitment to excellence. - **Remote/hybrid/office policy**: Multiple office locations (Campbell HQ, Bangalore, Kitchener, London). Job postings indicate on-site, hybrid, and full-time remote options depending on role. - **Notable perks/engineering culture**: Deep technical roots in open-source (Apache projects) and big data systems. Opportunity to work on cutting-edge data observability and AI agent infrastructure at scale. Leadership team includes experienced executives from Hortonworks, Adobe, and other tech leaders. Series C funding provides stability and growth trajectory. ## Sources 1. [acceldata.io/about-us](https://www.acceldata.io/about-us) 2. [acceldata.io/careers](https://www.acceldata.io/careers) 3. [acceldata.io](https://www.acceldata.io/) 4. [jobs.lever.co/acceldata](https://jobs.lever.co/acceldata) 5. 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