2 years ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, build, and improve key product capabilities for the data observability suite.
- Investigate software-related complaints and make adjustments to improve performance.
- Optimize open-source data engines.
- Design, build, and maintain low-latency APIs.
- Develop services consumed by frontend and solutions engineering teams.
- Collaborate with frontend and product teams and participate in project and technical discussions.
Requirements
- 4–8 years of experience with JVM technologies including Java, Scala, or Kotlin.
- Strong data structure, algorithm design, and problem-solving skills.
- Experience with database systems, RDBMS, Mongo, and Elastic Search.
- Experience with cloud technologies.
- Knowledge of distributed systems, enterprise software, and SQL.
- Experience with Spark or Kafka is a bonus.
- Experience with data quality or data catalogs 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.