Senior DevOps Engineer - Cloud Data Platform

SentinelOne

Warszawa

On-site

PLN 240,000 - 360,000

Full time

9 days ago
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Benefits offered by this job

RSUs
ESPP
Competitive leave benefits
Gender-neutral parental leave
Medical benefits
EAP
Wellness benefit
Home office allowance

Job summary

SentinelOne is seeking a Senior DevOps Engineer / Platform Engineer to build, scale, and optimize our core data and caching infrastructure across Kubernetes clusters and multi-cloud environments. You will enable cloud portability and ensure low-latency, high-throughput operations for our AI-native security platform.

Ideal candidates have extensive experience with self-hosted Kafka/Redis in Kubernetes, strong Kubernetes internals knowledge, and multi-cloud proficiency.

Qualifications

  • Experience operating distributed systems at scale.
  • Hands-on with self-hosted Kafka and Redis in Kubernetes.
  • Strong understanding of Kubernetes internals and managing stateless/stateful workloads.
  • Multi-cloud experience with at least one provider (AWS, GCP, or Azure).
  • Proficiency in IaC and GitOps using Terraform, ArgoCD, and CI/CD workflows (GitHub Actions).
  • Scripting or development skills in Python, Go, or Ruby.

Responsibilities

  • Lead design and operation of mission-critical data services across Kubernetes and multi-cloud environments.
  • Build automated, self-service infrastructure to enable application portability.
  • Scale data infrastructure for petabytes of data with low latency and cost efficiency.
  • Optimize multi-tenant Kafka clusters for resilience and cost reduction.
  • Drive lifecycle automation using GitOps tools to reduce toil and pager burden.
  • Define standards for observability, HA, backup, and DR in Kubernetes.

Skills

Distributed Systems
Kubernetes
Cloud fundamentals

Tools

Kafka
Redis
Terraform
ArgoCD
GitHub Actions

Job description

SentinelOne is seeking a Senior DevOps Engineer / Platform Engineer to build, scale, and optimize our core data and caching infrastructure across Kubernetes clusters and multi-cloud environments. You will enable cloud portability and ensure low-latency, high-throughput operations for our AI-native security platform.

Ideal candidates have extensive experience with self-hosted Kafka/Redis in Kubernetes, strong Kubernetes internals knowledge, and multi-cloud proficiency.

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