Senior Java Engineer — Distributed Elasticsearch at Scale

Elastic Urban Trust Bank; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health coverage

Flexible locations & schedules

Generous vacation days

Donation matching up to $2000

Volunteer hours (up to 40 per year)

Parental leave 16 weeks

Job summary

Elastic Urban Trust Bank is seeking a Senior Java Engineer for the Elasticsearch - Distributed Systems team. You will focus on scale, performance, and resilience, owning components that coordinate nodes, data distribution, and replication across clusters.

Responsibilities include improving indexing, tuning cluster coordination, and addressing performance and concurrency issues at scale, while supporting the broader engineering team in solving difficult problems.

Qualifications

• Strong background in Distributed Systems and Consensus Algorithms.
• Strong skills in core Java and familiarity with Java standard library, data structures and concurrency.
• Deep technical proficiency in algorithms.
• Ability to understand and work on complex, highly distributed systems.
• Ability to own projects from design to delivery across multiple teammates.
• Ability to build and debug features with broad impact on multiple machines.

Responsibilities

• Improve Elasticsearch components that support concurrent and consistent indexing across machines.
• Maintain the cluster coordination system to keep performance as nodes join/leave and data moves.
• Push the limits on shards, nodes, and petabytes Elasticsearch can handle.
• Investigate performance or concurrency issues and propose solutions.
• Support engineers with the harder problems.

Skills

Distributed Systems

Consensus Algorithms

Core Java

Data Structures

Concurrency

Lambdas

Algorithms

Ability to own projects

Multi-machine debugging

Tools

Netty

Lucene

JDK

Job description

Elastic Urban Trust Bank is seeking a Senior Java Engineer for the Elasticsearch - Distributed Systems team. You will focus on scale, performance, and resilience, owning components that coordinate nodes, data distribution, and replication across clusters.

Responsibilities include improving indexing, tuning cluster coordination, and addressing performance and concurrency issues at scale, while supporting the broader engineering team in solving difficult problems.