Distributed Systems Engineer

Scalence L.L.C. United State
Remote
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AI Summary

Join Scalence as a Distributed Systems Engineer to lead a critical migration of our large-scale data infrastructure from Hbase/HDFS to a modern, cloud-native platform. Design and develop high-performance backend services in Java, focusing on scalability and reliability. Collaborate with cross-functional teams to ensure data integrity and minimize downtime during the transition.

Key Highlights
Lead a critical migration of large-scale data infrastructure
Design and develop high-performance backend services in Java
Collaborate with cross-functional teams to ensure data integrity
Key Responsibilities
Design and develop high-performance backend services in Java
Collaborate with cross-functional teams to ensure data integrity and minimize downtime during the transition
Monitor, troubleshoot, and resolve performance bottlenecks across the distributed architecture
Technical Skills Required
Java Distributed Systems Cassandra Hbase Hadoop Distributed File System (HDFS) Kubernetes Docker Hubble platform
Benefits & Perks
$60-$65/hr pay rate
Fully remote work
12-month contract

Job Description


Do something big and innovative! Stretch your creative muscles and work on big issues. Since 1989, we have developed technology environments, applications, and tools by providing experienced teams to implement, enhance, and maintain our clients’ essential systems and applications. Come join the Scalence team!

Job Summary

Title: Distributed Systems Engineer

Pay Rate: $60/ - $65/hr.

Location: Fully remote (Pacific work hours)

Duration: 12 months

Start Date: ASAP

We are looking for a Distributed Systems Engineer to lead a critical migration of our large-scale data infrastructure from Hbase/HDFS to a modern, cloud-native platform. This role requires deep expertise in distributed systems, Java backend development, and specific data technologies.

Key Responsibilities

  • Design and develop high-performance backend services in Java, focusing on scalability and reliability.
  • Collaborate with cross-functional teams to ensure data integrity and minimize downtime during the transition.
  • Monitor, troubleshoot, and resolve performance bottlenecks across the distributed architecture.
  • Write clean, well-tested code and contribute to code reviews and architectural decisions.

Required Skills & Experience

  • 5+ years of backend Java engineering experience, with strong knowledge of concurrency, multithreading, and JVM internals.
  • Hands-on experience with distributed data stores like Cassandra, Hbase, and Hadoop Distributed File System (HDFS), including architecture, operations, and performance tuning.
  • Proven experience designing, building, and operating large-scale distributed systems.
  • Experience with container orchestration platforms (Kubernetes) and containerization technologies (Docker) for application deployment and scaling.
  • Experience with the Hubble platform for system monitoring and performance analysis.
  • Strong problem-solving skills with the ability to diagnose complex issues in distributed systems.
  • Bachelor's or Master's degree in Computer Science or a related field.

Recruiter Name: Jolly Jayaprakash

Contact Email/ Phone: 480-845-3303 / jolly.jayaprakash@scalence.com

Referrals welcome! Referral bonus up to $1000! Feel free to reach out for additional details.

http://www.scalence.com

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