Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.415 € Gross/Month
- Location
- Graz, Hart bei Graz
- Working Model
- Onsite
Job Summary
In this role, you will develop AI-based automation solutions and implement anomaly detection mechanisms to make IT operations more efficient and predictive.
Job Technologies
Your role in the team
- As an AI Ops Engineer, you are a central part of our team and shape the future of our intelligent IT operations solutions.
- With your expertise in automation, observability, and ML-driven system analysis, you help us implement highly available, robust, and autonomous platforms.
- You develop AI-powered automation solutions to make IT operations more efficient, stable, and predictive.
- You implement event correlation and noise reduction mechanisms to quickly identify important signals from large data sets.
- You develop anomaly detection and predictive analytics systems for early prediction of critical failures.
- You conduct root cause analyses (RCA) using modern ML and data analysis methods.
- You implement automated remediation and self-healing mechanisms that automatically resolve or mitigate incidents.
- You are building a comprehensive observability architecture (logs, metrics, traces) to ensure complete system transparency.
- You automate recurring processes through scripting and infrastructure automation and assist in incident response and troubleshooting.
- You work closely with AI engineers, platform teams, and infrastructure experts to develop intelligent, scalable operations solutions.
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Our expectations of you
Education
- You have a technical education (HTL Informatics, university or university of applied sciences degree in Informatics/Data Science, etc.) or possess equivalent practical experience.
Qualifications
- You have expertise in Observability stacks such as Prometheus, Grafana, ELK/Elastic, OpenTelemetry.
- You have practical experience with Big Data/Streaming technologies (Kafka, Spark) for processing large telemetry data sets.
- You are familiar with cloud platforms (AWS/Azure/GCP) in the areas of monitoring, telemetry, and automated operations.
- You have knowledge of container and orchestration platforms (Podman, Kubernetes).
- Excellent German and English skills, as well as clear and structured communication abilities, and an independent and systematic way of working, distinguish you.
Experience
- You have extensive experience with Python for automation and data analysis.
- You have experience with infrastructure automation (Ansible, Terraform, Argo, GitOps tools).
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What we offer
- We offer you professional and personal development programs as well as the opportunity to work in a motivated team where the willingness to take responsibility and enthusiasm for implementing ideas are welcomed.
- The minimum gross salary for this position is EUR 3,415.01 per month for full-time employment.
- However, we offer market-compliant compensation depending on your qualifications and prior experience.
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Benefits
Work-Life-Integration
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
- 🚌Excellent Traffic Connections
- 🍼Day Care for Kids
- 🏠Home Office
Health, Fitness & Fun
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Knapp AG
KNAPP is an international technology company based in Austria. The company develops and produces intelligent plant systems. Modern digitalization, software, automation and robotics solutions are used.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production, Logistics, Transportation
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.5
Career Growth
3.8Engineering
2.9Workingconditions
3.8Culture
3.7
AI Ops Engineer
- Salary
- from 3.415 € Gross/Month
- Location
- Graz, Hart bei Graz
- Working Model
- Onsite
- Diversity
- Open for all genders
