DevOps Engineer
SIX Group is hiring a DevOps Engineer in Zurich, Switzerland. Level rates it ; you can apply on SIX Group.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- SIX Group has 89 other open roles on Level.
- Posted within the past week.
AI in this role
SIX drives the transformation of financial markets.
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.
DevOps Engineer
Zurich | Working from home up to 40% | Reference 8333
Are you excited by the opportunity to shape reliable, high-performing application platforms in a modern DevOps environment? Do you enjoy combining automation, operations, and innovation to build resilient services that are ready for production at scale? We are looking for an Application DevOps Engineer to help drive automated deployments, GitOps-based delivery, and infrastructure-as-code across cloud and on-premise environments. In this role, you will work closely with application development teams to ensure stable, low-latency, and secure operations while continuously improving deployment workflows, monitoring, and platform resilience.
What You Will Do
- Design, implement, and maintain automated deployment workflows using Ansible and GitLab CI/CD.
- Define and continuously improve monitoring, alerting, dashboards, and runbooks to strengthen operational stability and incident response.
- Develop automation and integration scripts in PowerShell, Python, Perl, Bash, and CMD, and work with structured formats such as XML, JSON, and XSL where required.
- Operate and support monitoring and job scheduling platforms such as Patrol, Elastic, Grafana, and Airflow.
- Take operational ownership of production services throughout their lifecycle, including deployment, monitoring, troubleshooting, maintenance, recovery, and continuous improvement.
- Participate in a regular on-call rotation for business-critical production systems, responding to incidents outside regular business hours when required, and taking ownership of troubleshooting, mitigation, escalation, and service restoration.
- Lead or actively contribute to incident response, root-cause analysis and post-incident reviews, turning lessons learned into monitoring, automation and reliability improvements.
What You Bring
- Strong DevOps mindset with experience across the software delivery lifecycle and operating production systems.
- Strong scripting skills in Python and shell, along with practical experience using GitLab CI/CD; experience with Ansible and infrastructure-as-code is highly valued.
- Solid understanding of Linux, networking fundamentals
- Hands-on experience operating production systems and containerized application platforms such as Kubernetes or OpenShift, including deployment, monitoring and troubleshooting.
- Experience with monitoring, alerting, and logging solutions such as Prometheus, Grafana, ELK/EFK, Splunk, or similar tools in containerized environments.
- Clear communication skills with the ability to explain technical topics to both technical and non-technical audiences.
- Strong hands-on troubleshooting skills across applications, Linux/Windows, TCP/IP networking, DNS, firewalls, TLS and containerized platforms.
- Fluent English; German and/or Spanish are an advantage.
If you have any questions, check out our FAQ page or call Yuliya Stoyko at +34 917095993.
For this vacancy we only accept direct applications.
Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.
How we rate this
DevOps Engineer at SIX Group rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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