Senior Platform Software Engineer
About the Role
We are looking for a Senior Platform Software Engineer to own the architectural integrity, scalability, and reliability of our core marketplace systems.
Our platform processes real-time transactions between buyers and sellers and requires strict latency control, high availability, and data integrity.
You will work closely with the CTO and DevOps team to evolve and stabilise high-load distributed systems.
AI-assisted development is part of our engineering model. We expect you to use AI tools to accelerate development and refactoring — while maintaining full ownership of architectural decisions and system quality.
Responsibilities
Design and evolve scalable backend services and APIsArchitect and refactor legacy components into modular, maintainable systemsDefine and enforce architectural standards and engineering best practicesOptimise high-load systems (performance tuning, indexing, caching)Design robust data models and implement complex business logicLeverage AI tools to accelerate development, refactoring, and analysisReview, validate, and refine AI-generated codeContribute to cloud-native infrastructure decisions (Azure/AWS)Improve observability, logging, fault tolerance, and resilienceCollaborate with DevOps on CI/CD pipelines and release processesParticipate in security hardening initiatives
AI Expectations
We expect engineers to:
Use AI tools daily as part of their workflowCritically evaluate and refine AI-generated outputMaintain full ownership of correctness and architectural decisionsContinuously improve personal productivity through automationContribute to evolving AI-assisted development standards
AI is a multiplier, not a replacement for engineering judgment.
Required Skills
5+ years of experience in backend development (C#/.NET or similar stack)Strong experience with ASP.NET Core or equivalent frameworksSolid understanding of OOP, SOLID principles, and design patternsExperience designing scalable architectures and RESTful APIsDeep knowledge of MSSQL/PostgreSQL (query optimisation, indexing)Familiarity with front-end technologies, JavaScript/TypeScript, frontend frameworksExperience with distributed systems and microservicesExperience with performance profiling and debugging toolsExperience with caching strategies (Redis or similar)Understanding of eventual consistency and data integrity trade-offsHands-on experience with Docker and CI/CD pipelinesExperience deploying to Azure or AWSExperience using AI-assisted development tools productivelyStrong code review and system reasoning skillsEnglish B2+
Nice to Have
Experience with container orchestration (Kubernetes)Experience with high-load or real-time marketplacesExperience with Angular/React
What We Value
Systems thinking over feature hackingOwnership mindsetAbility to balance speed with structural integrityComfort working in a compact, high-impact team
What We Offer
Competitive compensation with performance-based reviewsFully remote work environment (EU time zone preferred)Education and certification support27 paid days off annually (20 vacation + 7 paid sick leave without medical proof)Opportunity to shape a modern AI-driven engineering culture
Apply Now
We are looking for a Senior Platform Software Engineer to own the architectural integrity, scalability, and reliability of our core marketplace systems.
Our platform processes real-time transactions between buyers and sellers and requires strict latency control, high availability, and data integrity.
You will work closely with the CTO and DevOps team to evolve and stabilise high-load distributed systems.
AI-assisted development is part of our engineering model. We expect you to use AI tools to accelerate development and refactoring — while maintaining full ownership of architectural decisions and system quality.
Responsibilities
Design and evolve scalable backend services and APIsArchitect and refactor legacy components into modular, maintainable systemsDefine and enforce architectural standards and engineering best practicesOptimise high-load systems (performance tuning, indexing, caching)Design robust data models and implement complex business logicLeverage AI tools to accelerate development, refactoring, and analysisReview, validate, and refine AI-generated codeContribute to cloud-native infrastructure decisions (Azure/AWS)Improve observability, logging, fault tolerance, and resilienceCollaborate with DevOps on CI/CD pipelines and release processesParticipate in security hardening initiatives
AI Expectations
We expect engineers to:
Use AI tools daily as part of their workflowCritically evaluate and refine AI-generated outputMaintain full ownership of correctness and architectural decisionsContinuously improve personal productivity through automationContribute to evolving AI-assisted development standards
AI is a multiplier, not a replacement for engineering judgment.
Required Skills
5+ years of experience in backend development (C#/.NET or similar stack)Strong experience with ASP.NET Core or equivalent frameworksSolid understanding of OOP, SOLID principles, and design patternsExperience designing scalable architectures and RESTful APIsDeep knowledge of MSSQL/PostgreSQL (query optimisation, indexing)Familiarity with front-end technologies, JavaScript/TypeScript, frontend frameworksExperience with distributed systems and microservicesExperience with performance profiling and debugging toolsExperience with caching strategies (Redis or similar)Understanding of eventual consistency and data integrity trade-offsHands-on experience with Docker and CI/CD pipelinesExperience deploying to Azure or AWSExperience using AI-assisted development tools productivelyStrong code review and system reasoning skillsEnglish B2+
Nice to Have
Experience with container orchestration (Kubernetes)Experience with high-load or real-time marketplacesExperience with Angular/React
What We Value
Systems thinking over feature hackingOwnership mindsetAbility to balance speed with structural integrityComfort working in a compact, high-impact team
What We Offer
Competitive compensation with performance-based reviewsFully remote work environment (EU time zone preferred)Education and certification support27 paid days off annually (20 vacation + 7 paid sick leave without medical proof)Opportunity to shape a modern AI-driven engineering culture
Apply Now