Simplyblock builds Kubernetes-native, software-defined NVMe-over-Fabrics block storage.
Our customers run it underneath databases and stateful workloads where downtime is measured in money and latency is measured in microseconds.When something behaves oddly in a large multi-tier distributed storage cluster, the customer talks to you.
You are the person who turns a vague symptom into a reproducible root cause, a fix, and a change that keeps it from recurring.This is not a ticket-queue job.
You sit between our customers and our engineering team, you own the analysis end to end, and you have a direct hand in how the product evolves.What you'll doAnalyse complex operational and software issues in a large multi-tier distributed system: data path, control plane, cluster state, and the Kubernetes layer around itOwn customer communication.
Respond to incidents, guide customers through upgrades and migrations, and answer advanced product, architecture, and tuning questionsGo deep on root cause.
Logs, metrics, traces, core dumps, packet captures, reproductions: whatever it takes to explain the behaviour rather than describe itCoordinate resolution across engineering.
Bring the pieces together from storage, networking, control plane, and platform teams, and keep momentum until the issue is genuinely closedPush proactively for improvements.
Permanent fixes over workarounds, better observability, better defaults, and automation that reduces both the number of incidents and the manual operations effortTurn what you learn into assets: runbooks, diagnostic tooling, product feedback, and documentation the next engineer doesn't have to rediscoverWhat you bringNetworking engineering depth.
TCP/IP internals, RDMA/RoCE, congestion and flow control, multipathing, MTU and offload issues:



you can read a capture and tell a story with itDistributed systems experience in production.
A real feel for failure modes: partitions, split brain, quorum loss, tail latency, silent degradation, clock and ordering problemsKubernetes operations.
CSI, operators, StatefulSets, scheduling and node lifecycle, and the day-2 realities of running storage under an orchestratorAI-assisted engineering as part of your workflow.
Claude or comparable models and agents for log and code analysis, reproduction scripting, and customer-facing drafting.
We expect you to use these tools to make yourself materially faster, and to have opinions about where they help and where they don'tExcellent written and spoken communication with technical customers.
You stay precise and calm when the other side is notA proactive, high-responsiveness mindset.
You chase the loose end nobody assigned to you, and you close the loop without being askedPreferredDPDK, SPDK, NVMe-oF, or other kernel-bypass and userspace storage and network stacksLow-level Linux debugging: perf, eBPF, gdb, crash dumps, kernel and driver behaviourComfortable writing Python, Go, or C for tooling, diagnostics, and reproductionsPrior customer-facing experience at an infrastructure or storage vendorFluent English required; German or other European languages a plusWhat we offerDirect impact on a technically hard product, with a short path from your findings to shipped changesWork alongside the engineers who wrote the code.
No escalation wall between you and themThe AI tooling budget to match a Claude-native company: Claude Max, Claude Code, and whatever else you can justifyCompetitive salary + equityA team that celebrates ambition and outstanding results.
No participation trophies.
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📌 Senior Support Engineer (Distributed Storage) (Santa Fe)
🏢 Simplyblock
📍 Santa Fe