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Staff Full Stack Engineer(m/w/x)
Developing AI-driven marketing data platforms with Python/Django and TypeScript. Large-scale production system management and REST API building required. Internal shares program, flexible hours.
Requirements
- Daily use of AI tools and integration of AI reasoning/automation
- Fluency in Python and Django framework
- Experience managing large-scale production systems
- Building REST APIs
- Knowledge of TypeScript
- Knowledge of React or Vue.js
- Performing and validating AI-assisted code reviews
- Evaluating LLM outputs for correctness and context
- Knowing when to intervene with human judgment
- Strong communication skills
- Strong collaboration skills
- Proactive communication and good listening
- Enjoyment of writing to clarify and share ideas
- Passion for learning and experimenting
- Turning new AI tools into practical workflows
- Focus on user value
- Mentoring and coaching engineers
- Experience with data products and challenges
- Demonstrating AI-driven productivity to peers
- Driving AI adoption within technical teams
Tasks
- Drive technical approach for projects
- Break down project work
- Execute project delivery
- Tackle overarching strategic topics
- Influence architecture
- Focus on performance and security
- Advocate for best engineering practices
- Get to know your product development team
- Become familiar with product, technologies, systems, architecture, processes, and practices
- Absorb engineering culture
- Start coding within the Adverity universe
- Ramp up quickly within the Adverity universe
- Get to know the architecture and codebase inside-out
- Support your product development team with deep code reviews
- Guide teams towards better system quality
- Guide teams towards better engineering practices
- Participate in shaping new features
- Get hands dirty in PoCs
- Break down technical scopes
- Commence working on team deliveries
- Understand the Adverity platform well
- Participate in strategic cross-product engineering initiatives
- Help teams make pragmatic technical decisions
- Strive to improve maintainability
- Strive to improve reliability
- Increase impact beyond your product development team
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- AI tools
- Python
- Django
- REST APIs
- TypeScript
- React
- Vue.js
- LLM
Benefits
Flexible Working
- Flexible working hours
- Home office
Competitive Pay
- Internal shares program
Ergonomic Workplace
- Ergonomic workspace
Modern Equipment
- Cutting edge technology
Additional Allowances
- Training budget
Team Events
- Team events
Modern Office
- Modern offices
Sustainability Focus
- Sustainable merchandise
Purpose-Driven Work
- 2 days paid off for social responsibility
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Staff Full Stack Engineer(m/w/x)
Developing AI-driven marketing data platforms with Python/Django and TypeScript. Large-scale production system management and REST API building required. Internal shares program, flexible hours.
Requirements
- Daily use of AI tools and integration of AI reasoning/automation
- Fluency in Python and Django framework
- Experience managing large-scale production systems
- Building REST APIs
- Knowledge of TypeScript
- Knowledge of React or Vue.js
- Performing and validating AI-assisted code reviews
- Evaluating LLM outputs for correctness and context
- Knowing when to intervene with human judgment
- Strong communication skills
- Strong collaboration skills
- Proactive communication and good listening
- Enjoyment of writing to clarify and share ideas
- Passion for learning and experimenting
- Turning new AI tools into practical workflows
- Focus on user value
- Mentoring and coaching engineers
- Experience with data products and challenges
- Demonstrating AI-driven productivity to peers
- Driving AI adoption within technical teams
Tasks
- Drive technical approach for projects
- Break down project work
- Execute project delivery
- Tackle overarching strategic topics
- Influence architecture
- Focus on performance and security
- Advocate for best engineering practices
- Get to know your product development team
- Become familiar with product, technologies, systems, architecture, processes, and practices
- Absorb engineering culture
- Start coding within the Adverity universe
- Ramp up quickly within the Adverity universe
- Get to know the architecture and codebase inside-out
- Support your product development team with deep code reviews
- Guide teams towards better system quality
- Guide teams towards better engineering practices
- Participate in shaping new features
- Get hands dirty in PoCs
- Break down technical scopes
- Commence working on team deliveries
- Understand the Adverity platform well
- Participate in strategic cross-product engineering initiatives
- Help teams make pragmatic technical decisions
- Strive to improve maintainability
- Strive to improve reliability
- Increase impact beyond your product development team
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- AI tools
- Python
- Django
- REST APIs
- TypeScript
- React
- Vue.js
- LLM
Benefits
Flexible Working
- Flexible working hours
- Home office
Competitive Pay
- Internal shares program
Ergonomic Workplace
- Ergonomic workspace
Modern Equipment
- Cutting edge technology
Additional Allowances
- Training budget
Team Events
- Team events
Modern Office
- Modern offices
Sustainability Focus
- Sustainable merchandise
Purpose-Driven Work
- 2 days paid off for social responsibility
About the Company
Adverity
Industry
Marketing
Description
The company revolutionises the way businesses work with marketing data.
Not a perfect match?
- Flinn.ai
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