Hybrid System Reliability Engineer — Stockholm (Cloud & Automation)

Swediumglobal

Stockholms kommun

Hybrid

SEK 800,000 - 1,100,000

Full time

14 days+
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Job summary

Swedium Global in Stockholm is seeking a System Reliability Engineer to support a leading banking client in a hybrid role. The position focuses on reliability, security, and scalable infrastructure.

You will work with Validio onboarding, on-premise setups via SebShift, and cloud-native tooling across Azure/AWS/GCP, contributing to critical infrastructure transformation.

3 days onsite per week, with 2 days remote, in collaboration with data and technology teams.

Qualifications

  • Minimum 3+ years in SRE, DevOps, or cloud engineer roles.
  • Experience with on-premise and cloud environments.
  • Proficient in Linux/Windows, IaC, and scripting.
  • Strong cybersecurity awareness and identity management.

Responsibilities

  • Support the implementation and onboarding of Validio within the bank’s internal systems.
  • Collaborate with data management and technology teams to ensure reliable and scalable system operations.
  • Assist in design, setup, and configuration of on-premise environments hosted via SebShift (Kubernetes-based platform).
  • Establish best practices and operational guidelines aligned with IT security standards.
  • Contribute to system monitoring, reliability, and performance optimisation initiatives.
  • Provide technical expertise in infrastructure, automation, and cloud-native technologies.

Skills

Linux
Windows Server
Azure
AWS
GCP
Terraform
GitLab
GitHub
Python
Bash
PowerShell
Cybersecurity
Entra ID

Job description

Swedium Global in Stockholm is seeking a System Reliability Engineer to support a leading banking client in a hybrid role. The position focuses on reliability, security, and scalable infrastructure.

You will work with Validio onboarding, on-premise setups via SebShift, and cloud-native tooling across Azure/AWS/GCP, contributing to critical infrastructure transformation.

3 days onsite per week, with 2 days remote, in collaboration with data and technology teams.

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