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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 integrating AI workflows and agents, utilizing cloud infrastructure and CI/CD practices. Proficient in writing production code in TypeScript and Python while engaging directly with customers to deliver tailored solutions.
Highest-signal resume keywords
Production Code DevelopmentCloud Infrastructure ExperienceLLMs and Agentic SystemsCI/CD ImplementationBusiness-Fluent German and English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
TypeScriptPythonProduction Code ReviewCloud InfrastructureContainersAWSKubernetesTerraformGitLabAgent Workflows
Soft Skills
Customer EngagementTechnical Decision-Making
Tools & Technologies
MCP ServersForgeRovoCI/CD
Industry Keywords
AI WorkflowsOperational AgentsEvalsObservabilityPublic-Sector Customers
Tech Stack
Tools & technologiesAWSCloudKubernetesPythonTerraformTypeScript
About the role
Key responsibilities & impact- Turn business problems into practical technical solutions together with customers
- Write production code and integrate agents into existing systems and workflows
- Build and operate personal and operational agents using MCP servers, Agent Skills, evals, guardrails and observability
- Develop platforms and workflows using Forge, Rovo and CI/CD for development teams
- Take solutions into production, evaluate their quality and improve them based on actual use
- Bring insights from customer projects into XALT’s products
- Work directly with enterprise and public-sector customers
- Demonstrate an AI-built workflow live during the application process
Requirements
What you’ll need- Experience writing and reviewing production code across backend and frontend, for example in TypeScript or Python
- Experience with cloud infrastructure, containers and CI/CD, for example AWS, Kubernetes, Terraform or GitLab
- Practical experience with LLMs and agentic systems, including evals that detect errors and regressions
- At least one agent or AI workflow built independently and put into production, demonstrable live during the application process
- Enjoyment of working directly with customers
- Ability to make reasoned technical decisions with incomplete information
- Business-fluent German and English
- Living in or around Munich or Leipzig is a plus, not a requirement
Benefits
Comp & perks- Unlimited tokens for Claude, OpenAI and the latest, most advanced AI tools
- Opportunity to follow solutions from the first conversation into customers’ daily work
- Professional exchange within the team, across the Atlassian ecosystem as a Platinum Partner, and through the XALT AI Circle and IT Revolution
- Remote work is possible
- Flexible working arrangement discussed based on the employee, team and role
- Full-time work within an international company with teams in Munich, Leipzig, Manila and New York
