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17 часов назад

Site Reliability Engineer (SaaS)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Site Reliability Engineer (SaaS): Designing, operating, and scaling a next-generation cloud platform for data science and analytics with an accent on reliability, security, and cost-efficiency. Focus on implementing Infrastructure as Code, automating SaaS deployments via Kubernetes, and establishing operational standards for global scalability.

Location: Hybrid (Berlin or Konstanz, Germany)

Company

hirify.global is a provider of an industry-leading data science and analytics platform currently transitioning into a managed cloud service.

What you will do

  • Automate deployment and operations of large-scale SaaS systems using code and Kubernetes operators.
  • Develop infrastructure as code using Helm, Terraform, Amazon CloudFormation, and Azure ARM.
  • Manage on-call rotations, incident triage, mitigation, and root cause analysis in live environments.
  • Establish and drive standards for reliability, scalability, traceability, and monitoring across product teams.
  • Instrument deployed systems to optimize for performance, reliability, and cost-effectiveness.
  • Collaborate with engineering teams to ensure production readiness and manage dependency risks.

Requirements

  • Must be based in Germany (Berlin or Konstanz) for hybrid work.
  • Current certifications in AWS, Kubernetes, Linux, or similar technologies.
  • Strong cloud experience with AWS and/or Azure (VPC, IAM, EKS, ECR, EC2, S3, RDS, CloudWatch).
  • Proficiency in deploying software to Kubernetes environments using common patterns.
  • Scripting skills in Python and Shell are required.
  • Deep knowledge of Linux systems, networking, security, routing, and load balancers.

Nice to have

  • Programming experience in Go or Java.
  • Working knowledge of OAuth/OIDC identity providers such as Keycloak.
  • Experience with relational databases like Postgres.

Culture & Benefits

  • Hybrid working model with flexible hours.
  • Systems-first culture that values simplicity, maintainability, and clean design.
  • Continuous growth through exposure to cutting-edge AI and data analytics topics.
  • Health and wellbeing perks: subsidized sports or yoga courses, physiotherapy, and flu shots at select locations.

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