Software Engineer

About the role

Build and own core product features: Backend systems, APIs, voice infrastructure, wherever the product needs you.

Code ships daily and goes live for Fortune 500 clients.

Work on things most engineers never touch: telephony systems, real-time voice processing, and integrations with legacy financial infrastructure.

Responsibilities

• Build and own core product features: Backend systems, APIs, voice infrastructure, wherever the product needs you.
• Code ships daily and goes live for Fortune 500 clients.
• Work on things most engineers never touch: telephony systems, real-time voice processing, and integrations with legacy financial infrastructure.

Requirements

• 3+ years of experience as a software engineer.
• Previously worked at a Series A (or similar stage) startup and went through the same hypergrowth challenges Domu is facing.
• Experience dealing with legacy systems and refactoring them into sustainable, scalable architectures.
• Strong backend fundamentals - can own features end-to-end from design to production.
• Proficiency in TypeScript and/or Python.

Qualifications

• Know what it feels like when things are working: real customers, real revenue, a product people actually need.
• You also know the chaos, the pace, the things that break at the worst possible time.
• You've seen both sides and you want to do it again with a team that's already found traction.

Skills

• Telephony/Voice infrastructure - SIP, SRTP, WebRTC, or platforms like Telnyx, Twilio, LiveKit.
• High-throughput distributed systems - queue workers, event-driven architectures, handling 1M+ daily transactions.
• PostgreSQL at scale - query optimization, replication, connection pooling.
• Kubernetes - production deployments, scaling stateful services.
• Real-time data pipelines - ClickHouse, Kafka, or similar OLAP/streaming solutions.
• AWS infrastructure - SQS, containerized deployments.
• Compliance-conscious environments - SOC 2, ISO 27001, or fintech/enterprise security requirements.
• Experience with AI/ML integrations in production (LLMs, voice AI).
• Familiarity with contact center / dialer systems.

Benefits

• Healthcare weekly stipend for food and transportation.
• Gym membership equipment budget (strict rules on noisy mechanical keyboards).
• Whatever tools you need.