Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 55.356 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
Job Summary
In this role, you will manage the cloud infrastructure for our AI applications, develop internal tools to optimize processes, and operate CI/CD pipelines for reliable AI deployments.
Job Technologies
Your role in the team
- As an AI Platform Engineer at TimeTac, you are responsible for the technical foundation of our internal systems and AI applications.
- This role is central to our AIDA team (AI & Data): You ensure stable cloud environments, operate core tools, and develop the platform on which our AI solutions run.
- Design and operation of cloud infrastructure (Managed Cloud, Single-Tenant setups, Kubernetes) in close collaboration with AI engineers and stakeholders.
- Provision and maintenance of internal tools and automations with a focus on stability, security, and recoverability.
- Development of internal tools that utilize AI to improve processes and collaboration within the team.
- Design, build, and operate scalable infrastructure and productive systems for AI workloads, including containerization, CI/CD, monitoring, and reliable deployment of AI-powered applications and decision pipelines.
- Analysis and resolution of disruptions as well as sustainable prevention of recurring issues.
- Evaluation and implementation of new technologies and frameworks in the AI environment.
- Gradual adoption of AI-specific topics such as LLM integrations, pipeline operations, as well as MLOps/LLMOps (e.g., deployment, monitoring, versioning).
- In this exciting role, you will report to our CTO/CPO.
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Our expectations of you
Education
- Completed degree in AI, Computer Science, Software Engineering, or a related field - or equivalent practical experience.
Qualifications
- Ideally, you have already operated productive systems end-to-end.
- Good knowledge of cloud infrastructure (provisioning, networks, cost management, multi-environment setups) on AWS, GCP, or Azure.
- Knowledge in working with databases (relational and NoSQL).
- Interest in AI topics and willingness to develop further in this field.
- Ability to communicate technical topics clearly.
- Ownership mindset: You take responsibility for your solutions - not only until go-live but also afterwards.
- You focus on stability and maintainability and take care of ongoing improvements.
- Very good spoken and written English skills, as this is our working language.
Experience
- Several years of experience in Platform Engineering, Infrastructure, or DevOps.
- Experience with cloud-native environments and Kubernetes is a strong plus.
- Experience with CI/CD pipelines for build, test, and release processes.
- Experience with integrations (APIs, internal tools, external services).
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What we offer
- We offer a market-compliant salary with a clear willingness to pay above market rates for suitable qualifications.
- According to the IT collective agreement, the minimum gross annual salary is €55,356 (ST1, standard level) for a full-time position (38.5 hours/week) with at least three years of relevant professional experience.
- The actual salary depends on your individual qualifications, experience, and the added value you bring to the role, and is accordingly above the collective agreement minimum.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
TimeTac
Graz
TimeTac is a rapidly growing, international software company with headquarters in Graz. We have a modern, open corporate culture that prizes creativity and innovation. Our software helps to digitize and simplify timekeeping for employees all over the world.
Description
- Company Size
- 50-249 Employees
- Founding year
- 2009
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)3.9
Engineering
3.5Culture
4.0Workingconditions
4.5Career Growth
3.8
AI Platform Engineer
- Salary
- from 55.356 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
- Diversity
- Open for all genders
