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Staff Software Engineer- Backend

Acceldata • Data Quality & Observability • Java • 12 months ago
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Salary
≈ $38k – $98k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 9+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 28, 2025. Acceldata scores B on the Alion truth index.

Overview
Company
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Profile match

Acceldata

Acceldata is a data observability and data platform software company headquartered in Campbell, California, that helps enterprises monitor, manage and optimize data and AI workloads across cloud, hybrid and on-premises environments. Founded in 2018, it offers the Acceldata Data Observability Cloud, the Pulse Hadoop observability product, the xLake platform and an Open Data Platform built on Hadoop, Spark, Hive, Kafka and Trino, with engineering centered in Bengaluru. It hires software, frontend and open source engineers, SREs, SDETs, solutions consultants, technical account managers and enterprise sales and marketing staff in Bengaluru, Kitchener, London and Campbell.
acceldata.io • HQ: Campbell, United States • Data Quality & Observability • 501-1000 employees • Est. 2018
Tech stack of Acceldata
Backed by Insight Partners, Lightspeed Venture Partners, Lightspeed Venture Partners

A day in the life of a Staff Software Engineer

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 cross-functional teams (Product, Data, DevOps) to deliver high-quality releases.

Optimize system performance and scalability across large datasets.

Mentor junior engineers and contribute to engineering best practices.

You are a great fit for the role, if you have

9-12 years of hands-on experience in backend development using Java.

Strong understanding of distributed systems, system design, and microservices.

Experience with NoSQL databases (e.g., Cassandra, MongoDB, DynamoDB).

Hands-on experience with event streaming technologies (e.g., Kafka, Spark).

Solid experience in building large-scale, cloud-native systems.

Working knowledge of Databricks or Snowflake or Big Data technologies is preferred.

Excellent problem-solving, debugging, and analytical skills.

Strong ownership and ability to work in a fast-paced product environment.

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