You will join the IT Observability & Performance team at Swissquote, whose mission is to deliver situational awareness via telemetry, detection and forecasting.

This entails collaboration with cross-functional teams, as well as IT management, to collect actionable telemetry data, drive cost optimization through FinOps practices, and empower metric-driven decision-making. Your expertise will shape a proactive, agile, and high-performing IT environment, ensuring the reliability and efficiency of our financial systems.

As a Platform Engineer, you will design, implement and manage advanced telemetry solutions. Your expertise will help build towards our vision of a self-service platform.

You will also play a pivotal role in analyzing system performance, enabling root-cause analysis, and fostering continuous improvement in our IT infrastructure, all while aligning with Site Reliability Engineering (SRE) principles as outlined in the SRE Handbook.

• Develop and deploy telemetry frameworks using tools like ELK Stack, Grafana, and Prometheus to monitor system performance, availability, and reliability.
• Design and implement alerting mechanisms with tools like PagerDuty to enable rapid anomaly detection and response.
• Analyze telemetry data to identify trends, performance bottlenecks, and potential issues, providing actionable insights.
• Enable teams to perform root-cause analysis and proactively detect performance issues through layman dashboards to enhance system resilience.
• Support IT management in automating and tracking Service Level Objectives (SLOs), Key Performance Indicators (KPIs), and error budgets in alignment with SRE principles.
• Drive FinOps initiatives by optimizing observability-related costs for our internal cloud and implementing self-service metrics, logs, and traces.
• Generate comprehensive reports for IT management on system health, incident trends, compliance requirements and regulatory needs.
• Contribute to continuous improvement by recommending and implementing telemetry-driven enhancements to IT infrastructure.

Minimum Qualifications

• BS/MS in Computer Science, Engineering, or a related technical field involving programming (e.g., Physics, Mathematics), or equivalent experience.

• Knowledge and hands-on experience with:

  • Infrastructure as Code and GitOPS principles, with tools like Github Actions, Ansible or Terraform
  • Observability tools, with tools like ELK, Grafana, Prometheus or OpenTelemetry
  • Alerting & on-call experience, with tools like Nagios, PagerDuty or incident.io

• Strong knowledge of development, operations, networking, storage, or security.

• Proficiency in at least one programming language such as Python, Go, Rust, Java, or Bash.

• Systematic approach to problem-solving and a strong sense of ownership, accountability, and communication.

Preferred Qualifications

• Experience deploying and managing observability solutions in Kubernetes, containerized environments, or standalone VMs.

• Understanding of modern IT infrastructure (Kubernetes, containers, service mesh, standalone VMs).

• Expertise in defining and implementing SLOs, KPIs, and error budgets following SRE principles.

• Familiarity with FinOps practices and tools like OpenCost for cost optimization.

• Proficiency with Infrastructure as Code (IaC) tools like Terraform or Ansible for maintaining observability infrastructure.

• Ability to quickly learn and adopt emerging technologies, methodologies, and solutions

• Knowledge of distributed tracing tools (e.g., APM, OpenTelemetry, Jaeger, Zipkin) and their application in complex architectures.