Senior Golang Developer (AdTech)

TL;DR

Senior Golang Developer (AdTech): Building and optimizing backend services and APIs for a next-generation AI-powered advertising platform with an accent on scalability, performance, and reliability. Focus on designing complex distributed systems, architecting reusable codebases, and mentoring engineers.

Location: Paris, France (Hybrid: 3 days remote per week)

Company

hirify.global is a global video platform providing video hosting, streaming solutions for professionals, and a proprietary AI-powered video marketing platform.

What you will do

• Lead the design, development, and evolution of complex, scalable backend systems and services.
• Architect and build reusable, maintainable backend codebases, shared services, and internal libraries.
• Design and maintain robust APIs, data models, and service integrations.
• Establish and enforce best practices for code quality, testing, documentation, and reliability.
• Own backend features end-to-end from estimation and development to deployment and monitoring.
• Mentor mid-level and junior engineers through code reviews and knowledge sharing.

Requirements

• Solid backend engineering experience on production systems.
• Strong expertise in Golang and concurrent service development.
• Deep understanding of backend system design and the full application lifecycle.
• Experience with RESTful APIs and/or gRPC.
• Knowledge of relational and NoSQL databases, data modeling, and optimization.

Nice to have

• Experience with distributed systems, microservices architectures, and fault tolerance.
• Proficiency with CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Experience with production monitoring, logging, and debugging.
• Ability to leverage AI-powered development tools like ChatGPT, GitHub Copilot, or Claude.

Culture & Benefits

• Inclusive and diverse work environment committed to equal opportunity.
• Culture where ideas and perspectives are valued with direct business impact.
• Opportunities for continuous professional learning and growth.
• Hybrid work model allowing for partial remote work.

Hiring process

• Initial screening call (30 min).
• In-depth video interview (45 min) focusing on role and skills.
• Two technical interviews (2h) covering real technical challenges.
• Informal one-on-one meeting with the VP of Analytics & AI.