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Senior Full Stack Engineer - AI Platform(m/w/x)
Python backend services for AI/LLM integration, shaping architecture and mentoring in EPM software. Proven expertise designing clean, well-documented REST APIs with consistent versioning required. Generous vacation, cutting-edge AI/LLM tech focus.
Requirements
- 8+ years backend/full stack engineering experience
- Solid understanding secure coding practices and backend security risks
- Proficiency in Python
- Experience building, operating, maintaining production Python backend services
- Proven expertise designing clean, well-documented REST APIs with consistent versioning
- Experience deploying/operating services in Kubernetes with Helm and cloud-native tooling
- Solid understanding data isolation, configuration management, multi-tenant operations
- Proficiency with modern CI/CD pipelines and automated deployment workflows
- Excellent communication skills
- Ability to articulate complex technical concepts
- Passion for mentoring
- Passion for driving technical innovation in AI/ML middleware
Tasks
- Shape architecture decisions
- Mentor team members
- Design Python backend services for AI/LLM integration
- Develop Python backend services for AI/LLM integration
- Maintain Python backend services for AI/LLM integration
- Implement robust abstractions for AI providers
- Implement robust abstractions for request pipelines
- Handle validation, routing, caching, throttling, and error
- Ensure secure development practices for backend services
- Design resilient backend services
- Adhere to platform-wide operational standards
- Architect services for feature-flag-driven CI/CD deployments
- Design services for single and multi-tenant environments
- Ensure strict tenant isolation for data, configuration, logs
- Develop REST APIs for React frontends and SDKs
- Maintain REST APIs for React frontends and SDKs
- Ensure consistency and high performance for REST APIs
- Implement and maintain observability metrics
- Implement and maintain structured logging
- Implement and maintain distributed tracing
- Maintain Kubernetes services
- Manage Helm charts
- Manage deployment configurations
Work Experience
- 7 - 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- REST APIs
- Kubernetes
- Helm
- cloud-native tooling
- CI/CD pipelines
- AI/ML middleware solutions
Benefits
Learning & Development
- Lifelong learning
- Training and certifications
Team Events
- Team events
Flexible Working
- Flexible work
More Vacation Days
- Generous vacation time
Healthcare & Fitness
- Comprehensive health benefits
Retirement Plans
- Pension plans
Career Advancement
- Career growth plan
Public Transport Subsidies
- Public transit reimbursement
Company Bike
- Bike leasing
Startup Environment
- High-impact working environment
- Short decision-making processes
Informal Culture
- Flat hierarchies
Corporate Discounts
- Corporate discounts
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Senior Full Stack Engineer - AI Platform(m/w/x)
Python backend services for AI/LLM integration, shaping architecture and mentoring in EPM software. Proven expertise designing clean, well-documented REST APIs with consistent versioning required. Generous vacation, cutting-edge AI/LLM tech focus.
Requirements
- 8+ years backend/full stack engineering experience
- Solid understanding secure coding practices and backend security risks
- Proficiency in Python
- Experience building, operating, maintaining production Python backend services
- Proven expertise designing clean, well-documented REST APIs with consistent versioning
- Experience deploying/operating services in Kubernetes with Helm and cloud-native tooling
- Solid understanding data isolation, configuration management, multi-tenant operations
- Proficiency with modern CI/CD pipelines and automated deployment workflows
- Excellent communication skills
- Ability to articulate complex technical concepts
- Passion for mentoring
- Passion for driving technical innovation in AI/ML middleware
Tasks
- Shape architecture decisions
- Mentor team members
- Design Python backend services for AI/LLM integration
- Develop Python backend services for AI/LLM integration
- Maintain Python backend services for AI/LLM integration
- Implement robust abstractions for AI providers
- Implement robust abstractions for request pipelines
- Handle validation, routing, caching, throttling, and error
- Ensure secure development practices for backend services
- Design resilient backend services
- Adhere to platform-wide operational standards
- Architect services for feature-flag-driven CI/CD deployments
- Design services for single and multi-tenant environments
- Ensure strict tenant isolation for data, configuration, logs
- Develop REST APIs for React frontends and SDKs
- Maintain REST APIs for React frontends and SDKs
- Ensure consistency and high performance for REST APIs
- Implement and maintain observability metrics
- Implement and maintain structured logging
- Implement and maintain distributed tracing
- Maintain Kubernetes services
- Manage Helm charts
- Manage deployment configurations
Work Experience
- 7 - 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- REST APIs
- Kubernetes
- Helm
- cloud-native tooling
- CI/CD pipelines
- AI/ML middleware solutions
Benefits
Learning & Development
- Lifelong learning
- Training and certifications
Team Events
- Team events
Flexible Working
- Flexible work
More Vacation Days
- Generous vacation time
Healthcare & Fitness
- Comprehensive health benefits
Retirement Plans
- Pension plans
Career Advancement
- Career growth plan
Public Transport Subsidies
- Public transit reimbursement
Company Bike
- Bike leasing
Startup Environment
- High-impact working environment
- Short decision-making processes
Informal Culture
- Flat hierarchies
Corporate Discounts
- Corporate discounts
About the Company
Jedox GmbH
Industry
IT
Description
Jedox is a leading software solution that enables business planning, budgeting, and forecasting for finance, sales, and other business functions.
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