Mid-level Backend Engineer at a European technology company. Building and operating backend systems for high-traffic consumer platforms used by millions of users, with a focus on performance and reliability.
Responsibilities
Build, evolve, and operate backend services that power a large-scale consumer platform, with a strong focus on high availability, low latency, and predictable performance under heavy load.
Design and implement well-structured APIs and service boundaries, balancing speed of delivery with long-term maintainability.
Own components end-to-end: from design and implementation through deployment, monitoring, and incident follow-up, with a mindset of continuous improvement.
Use AWS as a core part of your toolkit, making thoughtful decisions around scalability, resiliency, security, and cost.
Improve reliability and observability through testing, instrumentation, alerting, and runbooks, and by reducing recurring operational issues.
Collaborate closely with engineers and partners to clarify requirements, make trade-offs explicit, and deliver changes safely in a complex environment.
Help strengthen the engineering function by contributing to shared patterns, documentation, and everyday practices—and by supporting junior engineers through reviews and knowledge sharing.
Requirements
Strong backend engineering experience in C#, building and operating production-grade services.
Hands-on experience with AWS in real-world environments (designing, deploying, and running cloud-based systems).
Experience building secure, scalable APIs and service-oriented architectures (microservices experience is a plus, but not required).
Solid understanding of data stores and data modeling (e.g., PostgreSQL and/or MySQL); experience with streaming/event-driven systems (e.g., Kafka) is a plus.
Comfort with containers and modern delivery practices (Docker, Kubernetes, CI/CD) and an appreciation for automation and repeatability.
A software engineering mindset grounded in good practices: testing, code review, observability, and operational excellence.
Confidence working with ambiguity, taking ownership, and making pragmatic decisions with incomplete information.
Clear, collaborative communication and a respectful approach to working with different perspectives and backgrounds.
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