Dear Grafana Labs Talent Acquisition team,
I would like to apply for the Performance Engineer role you have posted on your careers page. My focus these past few years has been performance engineering, and I would be glad to bring that to your team.
Ahead of writing I read about Grafana Labs, and what stood out was your work on high-cardinality observability and the engineering write-ups your team keeps publishing on taming latency at scale. This looks like a strong time to join, and I would gladly put my performance engineering experience to work there.
Reading the posting, the three needs that stand out most are load and stress testing, profiling and bottleneck analysis and observability and capacity planning. Those decide whether a performance hire works out, and I have real results behind each.
On load and stress testing, my daily tools are JMeter, k6 and Gatling. As a Performance Engineer at Shopify, I handled running load tests that found the breaking point before Black Friday traffic hit. Beyond that, I built the performance test suite that runs against every release candidate.
For profiling and bottleneck analysis, I rely on profiling, flame graphs and tuning. During my time as a Performance Engineer at Shopify, I took on chasing a p99 latency spike down to a single slow database query.
On observability and capacity planning, I bring Grafana, distributed tracing and dashboards. Working as a Performance Engineer at Shopify, I owned standing up the tracing and dashboards the on-call team lives in now. Beyond that, I cut p95 API latency by 40 percent with targeted profiling and tuning.
I would be glad to walk through this in an interview and show why I fit. I am ready to keep your systems fast under real load and hunt down the bottlenecks before your users feel them, and to grow with the team.
I would be glad to find a time to talk.
Yours sincerely,
Theo Script
theo.script@gmail.com