Senior Golang Developer (AdTech)

TL;DR

Senior Golang Developer (AdTech): Building and optimizing backend services for an AI-powered advertising platform with an accent on scalability, performance, and reliability. Focus on designing real-time distributed systems, architecting reusable backend codebases, and integrating robust APIs.

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

Company

hirify.global is a global video platform providing hosting, streaming, and AI-powered advertising solutions to users and professionals worldwide.

What you will do

• Lead the design and evolution of complex, scalable backend systems and services.
• Architect maintainable codebases, shared services, and internal libraries.
• Translate product and business requirements into technical designs and implementation plans.
• Design and maintain robust APIs, data models, and service integrations.
• Mentor junior and mid-level engineers through code reviews and design discussions.
• Collaborate with Product, Frontend, QA, and DevOps teams to align on delivery goals.

Requirements

• Strong expertise in Golang and concurrent service development.
• Solid experience with production backend systems and the full application lifecycle.
• Proficiency in RESTful APIs and/or gRPC.
• Knowledge of relational and NoSQL databases and data modeling.
• Must be based in or able to work from Paris, France (Hybrid).

Nice to have

• Deep understanding of distributed systems, concurrency, and fault tolerance.
• Experience with microservices, Docker, and Kubernetes.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Experience leveraging AI-powered development tools like ChatGPT, GitHub Copilot, or Claude.

Culture & Benefits

• Opportunity to work on high-impact projects with direct business visibility.
• Collaborative environment where ideas and perspectives are valued.
• Culture of continuous learning and professional growth.
• Inclusive workplace that values diversity and provides accessibility accommodations.

Hiring process

• Initial 30-minute screening call with the Talent Acquisition team.
• 45-minute video interview with the hiring manager.
• Two technical interviews (total 2 hours) focusing on real technical challenges.
• 30-minute informal meeting with the VP of Analytics & AI.