Product Engineer

Wazo Engineering Role

Wazo builds programmable, API-first communication infrastructure and applications. This is mission-critical telecom infrastructure.

Our current environment includes:

• Backend services primarily in Python
• Mobile core in Kotlin and Swift
• Real-time infrastructure components across multiple technologies

Familiarity matters less than your ability to learn quickly, write maintainable systems code, and protect operational integrity. Technology choices evolve. System thinking does not.

The Role

You will work on:

• SIP / VoIP signaling
• RTP media flows
• Distributed backend systems
• Event-driven architectures
• Low-level networking and performance-sensitive components
• AI-augmented engineering workflows

You will provide direction, constraints, validation, and long-term coherence. You will set constraints, review outputs critically, and ensure changes align with long-term architecture. AI assists with drafting, refactoring, tests, and documentation.

We are looking for engineers who can supervise quality, protect architectural integrity, and make sound trade-offs at scale.

What We're Looking For

• 10+ years of professional experience (6–10 considered for exceptional system-level profiles)
• Strong system thinking is required
• Experience in distributed or real-time systems
• Comfort near infrastructure layers
• Autonomous, high-ownership mindset
• Product awareness
• Telecom experience is a plus. Systems thinking is essential.
• Engineering school background
• Based in Europe.

Compensation and Benefits

Compensation and benefits for this role are calibrated against the specific local market standards to ensure competitive alignment with regional cost-of-labor and talent benchmarks. We reward depth, ownership, and architectural impact.

Benefits offered

• Comprehensive benefits package covered by the employer
• Competitive salary
• Remote work
• Friendly culture with great opportunities to make an impact on a growing global team.

Why Join

• Fast growing and changing environment
• AI-native engineering model
• Infrastructure-level challenges
• High autonomy
• Senior, high-density team

If you value judgment, system integrity, and meaningful technical impact — we should talk.