Senior Backend Engineer

Introduction & Summary

We are seeking a highly skilled Senior Backend Engineer to join our team. The ideal candidate will have a strong background in architecture, hands-on development, and a passion for building scalable backend services. Key skills include proficiency in C#, .NET, Java, and/or Go, as well as experience with cloud systems, automated testing, and modern development tools.

Main Responsibilities

• Architecture: Design scalable, high-performance backend services.

• Hands-on Development: Build and deliver features using best-practice software development standards.

• Code Quality: Ensure reliability through automated testing and strong engineering practices.

• Collaboration: Work closely with teams to maintain alignment and a healthy, high-performing environment.

• Ownership & Growth: Take ownership of solutions, stay curious, and proactively solve technical challenges.

• Product Focus: Deliver well-designed, high-quality software with the end user in mind.

• AI-Assisted Development: Leverage AI tools to accelerate development and boost engineering productivity.

Key Requirements

• Degree in Software Engineering, Computer Science, or similar. If you do not have one but you are really good (and can show it), we still want to hear from you.

• 4+ years of software development experience.

• Proven experience designing, building, and maintaining highly scalable, reliable, and performant backend systems.

• Knowledge of software engineering principles, algorithms, data structures, and Object-Oriented Design.

• Coding skills in C# .NET, Java, and/or Go.

• Knowledge of relational & non-relational databases (e.g: Aurora, DynamoDB, Redis).

• Knowledge of cloud systems (e.g: AWS, Azure).

• Experience with Docker and Kubernetes (K8s).

• Good communication skills and fluency in English.

• Availability to be part of the 24x7 on-call rotation.

Nice to Have

• Hands-on experience with AI coding assistants (Claude, GitHub Copilot, or similar) integrated into your daily workflow.

• Proficiency in prompt engineering for code generation, debugging, refactoring, and documentation.

• Ability to work with different AI models and understand their trade-offs.

• Experience managing multi-turn conversations with AI and iteratively refining solutions.

• Skill in designing and implementing agent-based workflows for code review, testing, and architectural decisions.

• Understanding of when to validate vs. trust AI output; maintaining code quality standards with AI assistance.

• Experience using AI for rapid prototyping, test generation, and performance optimization analysis.