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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining AI-powered systems, with a strong focus on cloud infrastructure, data services, and automation practices. Proficient in software engineering, CI/CD processes, and operational monitoring to enhance system performance and reliability.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyAWS CloudFormationCI/CD Pipeline ExperienceInfrastructure-as-Code
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 Engineering PracticesREST APIsAuthentication/Authorization FlowsData Engineering ConceptsAI/LLM ApplicationsGitOps
Soft Skills
Strong Communication SkillsCollaboration SkillsProblem-Solving MindsetProactive AttitudeCuriosity and Willingness to Learn
Tools & Technologies
Cloud PlatformsInfrastructure AutomationOperational MonitoringLogging Tools
Tech Stack
Tools & technologiesAWSCloudPythonSQL
About the role
Key responsibilities & impact- Contribute to the development, operation, and evolution of an AI-powered agentic product delivering insights from enterprise-scale systems
- Design, build, and maintain scalable data services, cloud infrastructure, AI agents, and platform components
- Contribute to infrastructure automation, CI/CD processes, and Infrastructure-as-Code initiatives
- Improve system reliability, observability, performance, scalability, and security across the platform
- Collaborate with engineering and data teams to explore modern AI/data technologies
- Contribute to platform architecture improvements
Requirements
What you’ll need- Experience with software engineering practices, REST APIs, and authentication/authorization flows
- Excellent written and spoken English
- German or French is a plus
- Understanding of cloud platforms and Infrastructure as Code tools such as AWS CloudFormation or CDK
- Experience with CI/CD pipelines, DevOps practices, and operational monitoring/logging
- Working knowledge of Python and SQL
- Familiarity with data engineering concepts, AI/LLM applications, or GitOps
- Strong communication and collaboration skills
- Problem-solving mindset with attention to operational quality
- Proactive attitude and ability to work independently when needed
- Curiosity and willingness to learn new technologies and approaches
Benefits
Comp & perks- Opportunity to work in one of the offices in Switzerland or in a home office
- Flexible working hours
- Attractive financial benefits
- Professional development opportunities
- Pleasant working environment
