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Acceldata

Data observability platform improving data reliability

Staff Backend Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • Have 9–12 years of hands-on experience in backend development using Java.
  • Have a strong understanding of distributed systems, system design, and microservices.
  • Have experience with NoSQL databases such as Cassandra, MongoDB, or DynamoDB.
  • Have hands-on experience with event streaming technologies such as Kafka or Spark.
  • Have solid experience building large-scale, cloud-native systems.
  • Have excellent problem-solving, debugging, and analytical skills.
  • Demonstrate strong ownership and ability to work in a fast-paced product environment.

Responsibilities

  • Design and build scalable, reliable, and performant distributed systems using Java and microservices architecture.
  • Contribute to system design discussions, architecture reviews, and technical decisions.
  • Develop robust APIs and microservices with high availability and low latency.
  • Collaborate with Product, Data, and DevOps teams to deliver high-quality releases.
  • Optimize system performance and scalability across large datasets.
  • Mentor junior engineers and contribute to engineering best practices.

Desired Qualifications

  • Have working knowledge of Databricks, Snowflake, or big data technologies.

About the Company

Acceldata

Data observability platform improving data reliability

Acceldata provides a data observability platform for data teams to improve data reliability, monitor data health, and optimize large data infrastructures while reducing costs. It uses machine learning-driven automation to detect issues, perform data quality checks, and deliver actionable insights, integrating with existing data stacks through features like Spend Intelligence, Data Reliability, and Operational Intelligence. The platform differentiates itself by combining data quality, reliability, and cost optimization in one solution for sizable data environments and transitions to open-source technologies, not just monitoring. Its goal is to help organizations maximize the value of their data investments by making data reliable, affordable, and ready for decision-making.

Company size
201-500
Company stage
Series C
Total funding
$105.6M
Headquarters
Campbell, CA
Founded
2018

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