Job
- Level
- Senior
- Job Field
- IT, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin, Munich, Frankfurt, Leipzig
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you implement and optimize machine learning solutions, develop CI/CD pipelines, and manage as well as monitor cloud infrastructures using Terraform and Kubernetes.
Job Technologies
Your role in the team
- Are Data and AI your home? Furthermore, your new challenge is as follows:
- Collaboration with your clients in the implementation, operation, and optimization of ML solutions
- Responsibility for the successful deployment and management of machine learning models and the underlying platform.
- Planning, developing, testing, automating, documenting, and maintaining CI/CD pipelines
- Utilization of the latest developments in automation, monitoring, and scalability
- Efficient collaboration through mutual understanding of each other's work
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Our expectations of you
Education
- Successfully completed degree in Computer Science, Data Science, or a comparable qualification
Qualifications
- Is data also in your DNA? Here's what you should bring:
- Fluent German skills, both spoken and written
- Infrastructure as Code, e.g., Terraform or AWS CloudFormation, are not foreign words to you.
- You are familiar with CI/CD pipelines.
- Monitoring, alerting, and incident management are part of your daily routine.
- Good scripting skills in Python or Shell
- Strong problem-solving skills as well as the ability to work independently despite high team competencies
Experience
- At least 2 years of full-time professional experience, including the development and maintenance of infrastructure/data solutions.
- You have experience with cloud services such as AWS and/or Azure.
- You have experience with container orchestration, e.g., Kubernetes, Helm.
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What we offer
- Trust-based working hours with flexible working time arrangements, hybrid work model, workation - take advantage of the opportunity to work from the EU abroad.
- Unique team atmosphere, flat hierarchies with our CEO Alex, and an open feedback culture, annual team workshops at our Data.Castle in the Zillertal, lived Data.Musketeer principle - "one for all, all for one!", our [at] Buddy program for better networking, regular professional and leisure events, dog-friendly offices.
- Intensive onboarding and training process, personal development plan, and individual training opportunities, a diverse range of workshops and training sessions within the Data.Academy conducted by our experienced Data.Musketeers as well as external providers, leadership, project management, and expert career paths.
- Childcare allowance, company pension scheme with 20% subsidy, numerous corporate benefits & employee offers (e.g., for events and travel), starting credit in our internal merchandise shop, competitive salary with variable components
- Mental Health & Wellbeing support as well as coaching and meditation through nilo.health, fitness and yoga rooms in the Munich office, regular employee surveys, EGYM Well Pass membership with Plus1 option, bicycle leasing via Jobrad after the probation period, internal groups for sports activities, free hot and cold beverages as well as fresh fruit in the office, rooftop terrace (grill).
- Central location of the offices, good connection to public transportation, possibility to work from other locations
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Benefits
Work-Life-Integration
- 🏖️Workation
- 🍼Day Care for Kids
- 🚌Excellent Traffic Connections
- 🐕Animals Welcome
- 🏠Home Office
- ⏰Flexible Working Hours
Health, Fitness & Fun
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Alexander Thamm GmbH
We're the pioneering data science consulting firm in the German speaking region. Our Munich-based company, founded by Alexander Thamm in 2012, was the first to exclusively specialize in analytics, data science and big data. We help our clients gain a competitive edge and added value through big data.
Description
- Founding year
- 2012
- Company Type
- Digital Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)4.1
Culture
4.5Workingconditions
4.0Engineering
3.8Career Growth
4.4
Senior DevOps Engineer
- Location
- Berlin, Munich, Frankfurt, Leipzig
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
