SECTION I · THE BRIEF
Brief #16965Updated 13 NOV 2025BENGALURULeverSOFTWARE COMPANIES
Employbl Company Profile

Site Reliability Engineer - Hadoop Modernization

Acceldata has created the world's first Data Observability Cloud, helping data-driven enterprises achieve operational excellence, innovation agility, and higher returns on data investment. Modern enterprises…

Location
Bengaluru
Company size
50–500
Posted
8mo ago
Via
Lever
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  • 01Comp band & equity packageLocked
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  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

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Site Reliability Engineer - Hadoop Modernization · acceldata

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Job title
Site Reliability Engineer - Hadoop Modernization
Job location
Bengaluru
Job description
You will join a team of highly skilled hadoop engineers who are responsible for delivering Acceldata’s support services in vendor-agnostic environments. As a Site Reliability Engineer, you will actively learn from experienced team members, contributing to improving the availability, scalability, performance, and reliability of our products and our customers' data lake environments.
You will be expected to listen actively to customer concerns and demonstrate empathy in providing solutions. This is an exciting opportunity to grow your technical, business, and interpersonal skills in a dynamic and collaborative environment.
What makes you the right fit for this position?
  • 5+ years of experience in working with distributed systems, cloud environments, or data management services is preferred.
  • Good understanding of Hadoop technologies, including HDFS, YARN, and Hive/Impala. Working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager.
  • Experience operating Linux (configure, tune, and troubleshoot both RedHat and Debian-based distributions).
  • Exposure to data security and data engineering principles in Hadoop environments is a plus.
  • Assist in troubleshooting issues across the entire stack – hardware, software, applications, and networks.
  • We’re looking for someone who can:
  • Work alongside experienced SREs to improve the availability, scalability, and reliability of enterprise production services, both for Acceldata products and customers’ data lake environments.
  • Support implementation and troubleshooting for Hadoop data lake clusters under the guidance of senior engineers.
  • Learn to implement, stabilize, and tune Hadoop ecosystems in vendor-agnostic environments.
  • Provide technical support for Hadoop Data Lake clusters across multiple data centers.
  • Assist in troubleshooting issues across the entire stack – hardware, software, applications, and networks.
  • This role requires flexibility to work in rotational shifts, based on team coverage needs and customer demand.
    Candidates should be comfortable supporting operations in a 24/7 environment and be willing to adjust their working hours accordingly.
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    acceldata headquarters

    Palo Alto, CA

    Company size

    50500 employees

    Founded

    2018

    Total raised

    $105,560,000

    View company profile ↗

    Funding rounds

    • Series C$10M
    • Series C$50M
    • Series B$35M
    • Series A$8.5M
    • Seed$2.1M