Senior Python Developer - full stack
DHR International
- Design, implement, and maintain production-grade Python services and runtime components
- Own complex backend features end to end, from domain modeling through rollout and regression coverage
- Build and evolve stateful workflow systems, orchestration layers, and asynchronous processing
- Integrate with third-party APIs and external service providers in a reliable, observable, and fault-tolerant way
- Improve system correctness around retries, idempotency, error handling, and distributed state transitions
- Contribute across the stack including APIs, integrations, contracts, and tooling
- Write high-signal tests covering unit, integration, contract, and recovery scenarios
- Review code rigorously and raise the bar for design clarity, maintainability, and runtime safety
- Collaborate with stakeholders to turn ambiguous requirements into robust implementation plans
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Position Details
- Salary: EUR 70k annual base salary, with VSOP available for discussion
- Working Hours: Daytime working hours aligned with Central European Time (CET)
- Work Setup: Fully remote position
Role Summary
We are hiring a Senior Python Developer to lead design and implementation across a stateful, workflow-driven platform built in Python . This role requires strong backend engineering fundamentals and the ability to work confidently across application logic, APIs, integrations, asynchronous processing, state management, testing, and production architecture .
You will work on a platform that combines:
- Python services and core runtime design
- FastAPI-style APIs and callback endpoints
- Redis-backed state and workflow persistence
- Async external-provider integrations and retry handling
- Multi-channel messaging backends
- LLM-assisted workflow components
- End-to-end testing of orchestration, contracts, and recovery paths
This is a senior hands-on engineering role . We expect clear technical judgment, strong ownership, and pragmatic architectural decision-making without unnecessary complexity.
Responsibilities
- Design, implement, and maintain production-grade Python services and runtime components
- Own complex backend features end to end , from domain modeling through rollout and regression coverage
- Build and evolve stateful workflow systems, orchestration layers, and asynchronous processing
- Integrate with third-party APIs and external service providers in a reliable, observable, and fault-tolerant way
- Improve system correctness around retries, idempotency, error handling, and distributed state transitions
- Contribute across the stack including APIs, integrations, contracts, and tooling
- Write high-signal tests covering unit, integration, contract, and recovery scenarios
- Review code rigorously and raise the bar for design clarity, maintainability, and runtime safety
- Collaborate with stakeholders to turn ambiguous requirements into robust implementation plans
Working Style
We value engineers who are:
- rigorous
- pragmatic
- comfortable with ownership
- concise in communication
- capable of handling both systems thinking and implementation detail
If you are strongest only in isolated backend CRUD development and do not enjoy stateful systems, integrations, or workflow complexity , this role is likely not the right fit.
Requirements
Required Experience
- 6+ years of professional Python development experience
- Strong experience with modern Python backend development , including type-aware design and asynchronous programming
- Strong experience designing and maintaining APIs and service boundaries
- Solid experience with Redis or comparable key-value/data-structure stores in production systems
- Experience with event-driven or workflow-oriented systems , including retries, resumability, and state transitions
- Experience integrating with external services, callbacks/webhooks, and long-running remote processes
- Strong testing discipline with pytest and a clear understanding of regression prevention
- Comfortable working in systems that mix deterministic application logic with AI/LLM-assisted components
- Ability to work across backend, platform, and integration concerns without narrow specialization
Preferred Experience
- Experience with FastAPI, Starlette, or similar Python web frameworks
- Experience with conversational systems, messaging backends, or multi-channel product flows
- Experience with queue-like async coordination patterns, webhook security, and idempotent callback handling
- Experience with localization/i18n pipelines and user-facing workflow systems
- Experience with Docker-based local development and production deployment workflows
- Experience working in codebases with strong architectural boundaries, typed domain contracts, and documentation-driven development
Technical Profile
The right candidate should be comfortable with most of the following:
- Python
- Async I/O and coroutine-based service design
- FastAPI-style API development
- Redis-backed application state
- Pytest-based automated testing
- REST/webhook integrations
- State machines, orchestration, and workflow engines
- Payload/schema design and validation
- Production debugging and operational reasoning
- Docker-based development environments
What Good Looks Like
- Produces code that is clear, defensible, and easy to evolve
- Understands failure modes before they happen and designs accordingly
- Makes deliberate tradeoffs instead of defaulting to abstraction or framework-heavy solutions
- Can move between architecture, implementation, and debugging without losing precision
- Writes tests that reflect real system behavior , not just happy-path implementation details
- Communicates directly and professionally with strong technical judgment
Seniority Expectations
This role is not limited to ticket execution. We expect the engineer in this position to:
- identify weak spots in architecture and implementation
- propose clean solutions with minimal ceremony
- drive difficult features across multiple modules
- improve engineering standards through code review and design decisions
- and take responsibility for correctness in production-facing behavior
Nice-to-Have Domain Exposure
- Messaging platforms such as WhatsApp or web chat systems
- Identity, onboarding, or verification workflows
- AI-assisted product experiences
- Workflow engines and rule-driven application behavior
Employment / Tax
- EU VAT compliance is a must for contractors
- EU GDPR compliance is a must
- EU work permit is a strong pre
About the Company
Trusted Carrier is a German logistics technology company founded in 2026on the initiative of the German Road Haulage, Logistics and Disposal Association (BGL) . The company provides a digital, open platform that connects shippers, transport companies, and drivers , enabling standardized and verified data exchange across the logistics ecosystem.
The platform focuses on delivering trusted and validated master data related to companies, vehicles, drivers, and transport equipment . This data is centrally managed, quality checked, and accessible via interfaces to support compliance, safety, and operational efficiency .
By digitizing documentation and workflows such as driver credentials, vehicle information, and transport requirements , Trusted Carrier reduces manual processes, waiting times, and administrative overhead . This enables more automated, transparent, and reliable supply chain operations .
Trusted Carrier primarily serves the transportation and logistics industry , with initial focus areas such as the chemical sector , and continues to expand into additional industries and European markets . The company’s goal is to drive end to end digitalization and data standardization across logistics networks .
Contact Info
- Contact : Karlheinz Toni
- E-mail contact : Pogledajte adresu e-pošte na codingjobboard.com
- Web :