Senior QA Automation Engineer - Distributed Systems, Remote

mariadbplc

United States

Hybrid

USD 120,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Hybrid or remote options
Competitive pay

Job summary

MariaDB plc is seeking an experienced Quality Engineer to join the core QA team for a distributed in-memory data platform. The role blends hands-on test automation, framework design, and deep technical investigation of distributed systems behaviour across transactions, replication, networking, storage, and cluster management.

The role suits an experienced engineer who enjoys making complex, high-scale systems measurably more reliable.

Qualifications

  • At least five years in software quality assurance or testing-focused software engineering.
  • Strong Java programming skills and familiarity with the wider Java ecosystem.
  • Proven experience designing, developing, and maintaining automated tests and frameworks.
  • Hands-on testing experience with distributed or backend systems.
  • Understanding of multithreading, concurrency, networking, and consistency models.

Responsibilities

  • Design, develop, and maintain automated tests and supporting frameworks for functional and performance testing.
  • Take part in release validation activities and improve the release testing process.
  • Verify new features, bug fixes, and performance improvements against expected behaviour.
  • Investigate issues spanning distributed transactions, replication, networking, storage, and cluster management.
  • Build automation that reduces manual effort and raises team productivity.

Skills

Java programming
Test automation
Distributed systems
Multithreading & concurrency
Backend testing

Tools

Docker
Kubernetes
Apache Ignite

Job description

MariaDB plc is seeking an experienced Quality Engineer to join the core QA team for a distributed in-memory data platform. The role blends hands-on test automation, framework design, and deep technical investigation of distributed systems behaviour across transactions, replication, networking, storage, and cluster management.

The role suits an experienced engineer who enjoys making complex, high-scale systems measurably more reliable.

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