Qumulo's cloud data platform manages exabytes of the world's most demanding data, unifying files, objects, and every workload across edge, core, and cloud.

About the Role

You'll be one of the first hires on a team with a single mandate: find out how Qumulo breaks before our customers do. The platform manages exabytes of data for more than 1,100 customers across on-prem and every major cloud, and these are mission-critical workloads where a missed edge case becomes a customer's bad day.

This is a Systems Resilience Engineer role for the engineer who thinks like a breaker. You'll put on the customer's hat, work out how a feature will really get used, and design the tests that push it past its limits across hardware and cloud. You'll automate the testing our principal engineers run by hand today, and decide what gets tested, how often, and why. You'll help build this function from the ground up, including where we set the quality bar and which builds are good enough to ship.

As a Systems Resilience Engineer at Qumulo you will

Design and operationalize testing for new features: work out how customers will actually use them, how to scale-test them, and how to break them

Automate the manual, repetitive testing our principal engineers run by hand today, using Python and our in-house frameworks on Jenkins and Argo

Build a data-driven plan for which tests run, how often, and why, plus the framework to schedule and rerun them

Troubleshoot build and test failures across VM instances and Qumulo-qualified hardware, from compile-time errors to integration failures

Read cluster output and C error logs to tell a test problem from an infrastructure problem from a real bug

Set up monitoring and alerting so problems surface early (we use OpenMetrics, Grafana, InfluxDB, and Prometheus alongside home-grown tooling)

Help set the quality bar for releases, including a real say in what ships

Take part in an on-call rotation for the systems your team owns

Our ideal candidate will have:

3+ years building and operating automated testing, validation, and/or certification for complex software systems

Strong programming ability in C. Experience with Qumulo’s distributed file system, or parallel filesystems, would be a major plus

A real breaker's instinct. You go looking for edge cases and ask "what happens if I do this?" before anyone asks you to

A track record of building tests yourself, not just running test plans handed to you

Hands-on experience across both on-premises infrastructure and cloud (AWS, GCP, or Azure), with a real grasp of where each one's limits are

Working fluency in Linux (we run Ubuntu) and Python

A data-driven approach to deciding what to test and how often

Experience with orchestration tools (Ansible, Terraform), containers, and Kubernetes

Solid understanding of networks (routing, firewalls, security inspection devices, switch configuration) a plus

Storage (IOPS, Latency, read/write patterns) or protocol experience (NFS, SMB, S3, ) a strong plus

Further Details

Joining the Cork team means stepping into an open, inclusive culture where we act as owners, share by default, and build exciting solutions together. Empowered by cutting-edge tools and methodologies, you will have a unique opportunity to accelerate your career alongside a world-class team, innovating at the speed of data to do the hard, right thing for our customers.

Competitive salary in the range of €80,000–€120,000, depending on experience, plus a comprehensive benefits package including equity, pension, and private healthcare.

Flexible working arrangements, with 3 days onsite and 2 remote

Reimbursement for home phone and internet

About Qumulo

Built for the most demanding enterprise workloads, from AI and HPC simulations to Splunk Observability, genomics and PACS medical imaging, geospatial datasets, media editing and rendering, and video surveillance, Qumulo unlocks the full power of an organization’s information. Our platform unifies file and object storage across data centers, edge, and public clouds, enabling efficient, accelerated computing and extending the reach of data unbound by protocol or transport limitations.