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Acceldata

Data observability platform improving data reliability

Staff Engineer - Full Stack

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, India

About the Job

Requirements

  • 10+ years of experience in software engineering, with a strong backend focus.
  • Deep expertise in Java and backend frameworks such as Spring Boot.
  • Strong experience in distributed systems design, microservices architecture, concurrency, and asynchronous processing.
  • Hands-on experience with Apache Spark and databases such as PostgreSQL or MySQL.
  • Hands-on experience with caching systems such as Redis.
  • Experience with cloud-native architectures on platforms such as Amazon Web Services.
  • Strong understanding of API design, scalability, and performance optimization.
  • Experience with frontend technologies such as JavaScript and React.
  • Strong debugging, problem-solving, and system design skills.

Responsibilities

  • Architect, design, and build scalable distributed systems using Java.
  • Lead system design and architecture decisions across services, APIs, and data layers.
  • Build and optimize high-throughput, low-latency microservices.
  • Design and implement event-driven architectures using Apache Kafka.
  • Develop and optimize data processing pipelines using Apache Spark or similar technologies.
  • Ensure system reliability through fault tolerance, retries, circuit breakers, and observability practices including logging, metrics, and tracing.
  • Optimize performance across CPU, memory, I/O, and database queries.
  • Drive code quality, design reviews, and engineering best practices.
  • Mentor engineers and provide technical leadership across teams.

Desired Qualifications

  • Experience with Kubernetes.
  • Experience with big data systems or Hadoop components.

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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