What you will be doing
- Define and drive the Performance Vision and Strategy, establishing clear, measurable targets for latency, throughput, cost efficiency, and workload scalability across the Data Productivity Cloud.
- Conduct deep-dive profiling and complex root cause analysis across distributed systems, investigating API latency, memory/CPU pressure, queue back-pressure, and network bottlenecks.
- Build, maintain, and own repeatable, scalable benchmarking frameworks covering agent performance, concurrency, workflow orchestration throughput, and end-to-end user journeys.
- Drive significant Cost Performance and Efficiency improvements by utilizing telemetry and empirical data to reduce runtime operational costs (compute, memory, storage, network).
- Act as the technical performance expert to influence feature design, technical architecture, and implementation patterns across engineering teams to prevent regressions and embed performance guardrails.
What we are looking for
- Proven experience as a Principal Engineer specializing in performance for large distributed systems, ideally within a high-growth SaaS or data platform environment.
- Deep expertise in Java and Spring Boot, with strong JVM performance engineering skills, including GC tuning, heap/thread optimization, and low-latency design.
- Strong systems-level understanding of technologies like Kubernetes, container runtimes, Python performance, network behavior, and cloud architecture (AWS).
- The ability to influence engineers across teams without direct authority, shaping architecture, patterns, threading models, and concurrency to eliminate bottlenecks.
- Expertise with modern observability stacks (e.g., OTel, Prometheus, Grafana, Datadog) and hands-on experience designing and running meaningful load, chaos, and stress scenarios.
Skills Required
- Proven experience as a Principal Engineer specializing in performance for large distributed systems
- Deep expertise in Java and Spring Boot
- Strong systems-level understanding of technologies like Kubernetes and cloud architecture (AWS)
- Expertise with modern observability stacks (e.g., OTel, Prometheus, Grafana, Datadog)
Matillion Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Matillion and has not been reviewed or approved by Matillion.
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Equity Value & Accessibility — Equity participation appears integral to total rewards, with salary‑plus‑options structures and stock offerings positioned as part of compensation. This perceived upside complements base pay for many roles.
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Leave & Time Off Breadth — Generous PTO is complemented by paid volunteer days and unique milestone leave for life events, alongside holidays and sabbatical options. These programs are described as supporting work‑life balance across locations.
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Healthcare Strength — Health, dental, and vision coverage are presented as comprehensive, with mental health support and wellness programs included. Health insurance is frequently portrayed as a strong component of the package.
Matillion Insights
What We Do
We help teams get data business-ready, faster, accelerating time-to-value and increasing the impact data can have. Our platform helps organisations that want to be data-driven to connect their data, shape it into business-ready formats, and get all this done faster with the cloud. We have a series of services that help teams load, transform, synchronise, and orchestrate their data, built on top of a cloud that ties everything together from end to end.
Why Work With Us
Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent; an environment where people genuinely care about colleagues and communities. We have 6 values by which we live and breathe. We are collaborative, passionate, honourable, and genuinely care about each other and the communities in which we live and work.
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