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This is the definitive performance ownership role for the Matillion Data Productivity Cloud, where you will act as the technical expert who sees the entire system end-to-end. Your mission is to define, drive, and deliver the performance strategy across the platform’s control plane, data plane, agents, workflow engines, APIs, and UI to ensure it is fast, predictable, and resilient at massive scale.
Job Responsibility:
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
Requirements:
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
What we offer:
Company Equity
27 days paid time off
12 days of Company Holiday
5 days paid volunteering leave
Group Mediclaim (GMC)
Enhanced parental leave policies
MacBook Pro
Access to various tools to aid your career development
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