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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing, deploying, and automating AI services and cloud infrastructure while applying software best practices in continuous integration and delivery. Proficient in building and maintaining service and data infrastructure with strong communication skills for client interactions.
Highest-signal resume keywords
AI Service DevelopmentCloud Infrastructure AutomationContinuous Integration and DeliveryVersion Control with GitFluency in English and German
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Development Life CycleProblem AnalysisAutomation TechniquesService Infrastructure MaintenanceData Infrastructure Maintenance
Soft Skills
Strong Communication SkillsPresentation SkillsMotivated and Eager to LearnClient-Facing Skills
Tools & Technologies
DockerKubernetesCI/CD Frameworks
Industry Keywords
Data EngineeringCloud EngineeringClient ChallengesTechnical and Business Interaction
Tech Stack
Tools & technologiesCloudDockerKubernetesSDLC
About the role
Key responsibilities & impact- Join Data Scientists, Data Engineers, and Cloud Engineers in designing and implementing industry-specific use cases
- Discuss client challenges and needs and develop client-facing skills
- Develop, deploy, and automate AI services and cloud infrastructure
- Analyze problems and apply relevant tools and techniques
- Apply software best practices in continuous integration and delivery, versioning, and automation
- Build and maintain service and data infrastructure
- Participate as a junior engineer throughout the software development life cycle, including planning, implementation, deployment, testing, and maintenance
Requirements
What you’ll need- Recently graduated or finishing an MSc or BSc in Computer Science or related major
- Motivated and eager to learn different aspects of engineering
- Comfortable interacting with technical and business people
- Strong communication and presentation skills
- Familiarity with version control and collaboration tooling, including Git
- Familiarity with CI/CD frameworks and automated deployment concepts, including Docker and Kubernetes
- Fluent in both English and German
- Available for a minimum of 32 hours per week
- Ready to start on 1 February
- Familiarity with continuous integration and delivery, versioning, and automation
- Skills to build and maintain service and data infrastructure
Benefits
Comp & perks- 6-month paid professional experience
- 15 paid days of holiday
- Up to 10% of paid time for self-development
- Flexible working hours, including some home office
- Learning activities such as ML Reading Group and knowledge sharing sessions
- Training-on-the-job and personal wingmate/mentor
- Exposure to a wide variety of projects, industries, and technologies
- Ability to contribute to internal open-source projects like Darts
- Cross offices/company-wide frequent events like offsites
- Opportunity to be hired for a permanent position if successful
- International team of more than 20 nationalities