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Senior/Staff Platform Engineer

sei-labs · New York

New
Senior 🇬🇧 English
Docker Kubernetes OpenTelemetry Prometheus Version tagging Consensus protocols Benchmarking Chaos testing Incident response

Job description

About the role

Sei Labs is building a high‑performance, parallelized EVM Layer‑1 blockchain. The Platform Engineer role is focused on making the safe path the default for every engineer – observable, tested, reversible, and fast. You will be a foundational hire on a small Platform Engineering team with a broad mandate.

Key responsibilities

  • Infrastructure & scale testing – build and maintain Docker/Kubernetes harnesses for repeatable stress and scale testing used as a pre‑release gate.
  • Release engineering & CI/CD – consolidate CI/CD into reusable workflows, own version tagging, hot‑fix paths, PR review scaffolding, and the full release lifecycle.
  • Observability – provide a single pane of glass for metrics, traces, and logs correlated by block height, powered by OpenTelemetry, HA Prometheus, and ELK with defined SLOs.
  • Performance & chaos testing in CI – automate chaos and performance tests that gate 100% of releases, catching regressions before merge.
  • Security & incident response – run end‑to‑end bug and vulnerability workflows, produce new tests, metrics, or runbooks from every incident.

Required profile

  • 5+ years building production systems at scale, with end‑to‑end ownership.
  • Strong security fundamentals, threat modeling, and vulnerability mitigation integrated into pipelines.
  • Deep understanding of distributed consensus algorithms, safety vs. liveness, and practical debugging experience.
  • Expertise in benchmarking, performance bottleneck analysis, and realistic load profiling.
  • Proven live incident response experience with clear post‑mortem driven fixes.
  • End‑to‑end systems thinking, with opinions on monitoring stacks, CI vs. CD vs. runtime, and chaos testing.

Required skills

  • Docker
  • Kubernetes
  • CI/CD pipelines
  • OpenTelemetry
  • Prometheus
  • ELK stack
  • Version tagging and hot‑fix management
  • Security threat modeling
  • Consensus protocol knowledge
  • Benchmarking and performance profiling
  • Chaos testing frameworks
  • Incident response workflow
  • Multi‑cloud cost management
  • AI‑assisted security tooling integration

Questions fréquentes

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Source : ats:ashby

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Published 14 hours ago

Expires 1 month from now

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sei-labs

New York