Senior Security Platforms Engineer

About the Position

We are seeking a Senior Security Platforms Engineer to strengthen our Cyber Security Engineering team. The role focuses on engineering, automation, and reliability of critical security data platforms, while supporting a broad set of domains such as security logging, detection pipelines, and platform integrations. The role focuses on engineering and automation over manual operations.

Our platforms process and transport security and operational relevant data at scale across multiple regions. This role combines hands-on platform ownership with SRE principles, strong automation, and close collaboration with security engineering and operations teams.

The role is intended as senior, but we are open to strong mid-level candidates who demonstrate the right mindset, technical depth, and growth potential.

Responsibilities

• Own and improve security-critical platforms that ingest, process, and store large-scale data (e.g. Elastic-based platforms, messaging pipelines), ensuring reliability, scalability, and integrity of security-relevant data.
• Drive reliability improvements using SRE principles, reducing operational toil and systematically addressing failure modes, data loss scenarios, and resilience under stress.
• Design and implement automation and infrastructure-as-code using Terraform and GitLab CI/CD, enabling reproducible, auditable, and scalable environments.
• Develop and maintain Python-based tooling to automate workflows, integrate systems, and eliminate manual operational effort.
• Design, deploy, and operate workloads on container-based platforms (Kubernetes / OpenShift) as a platform user, while supporting data pipelines (Elastic, logstash, Kafka) and collaborating with platform and security teams globally.

Requirements

• Core expectations (senior level):
  • Strong experience in platform engineering / SRE / infrastructure roles, with end-to-end ownership of production systems.
  • Proven expertise in Terraform, Git-based CI/CD, and Python, designing and implementing automation in production environments.
  • Practical experience working with Kubernetes platforms as a user, deploying and operating workloads reliably at scale.
  • Experience with data-intensive or security-relevant platforms (Elastic Stack, Kafka, log pipelines, Splunk, Opensearch), including performance, scaling, and operational trade-offs.
  • Strong production mindset: experience with on-call, incident response, and understanding of system failure modes, combined with a proactive, ownership-driven approach.

We Offer

• Flexible Work Models
  • We trust our employees and offer a work environment that is well-balanced, productive, and fosters success.
• Personal Development
  • You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.
• Agile Working Methods
  • Whether through scrum or design thinking, we solve exciting tasks together in teams.

About the Company

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

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