Software Engineer

Domu•San Francisco, CA

10d•Remote

About The Position

At Domu.ai, we're building the infrastructure that will replace call centers at the world's largest financial institutions. We are developing Voice AI that handles thousands of live calls every day for Fortune 500 banks and insurers, end-to-end. Call volume is tripling monthly. We are encountering unique challenges such as real-time voice AI at scale, legacy banking infrastructure, enterprise telephony, and regulatory constraints. As a Software Engineer, you will build and own core product features, including backend systems, APIs, and voice infrastructure. Your code will ship daily and go live for Fortune 500 clients. You will work on complex areas like telephony systems, real-time voice processing, and integrations with legacy financial infrastructure. The role is designed for engineers who want to tackle hard problems. Approximately 95%+ of your time will be dedicated to coding and building. We are looking for engineers who can take ownership of specific areas such as the orchestration layer for voice AI systems, infrastructure scaling and low-level performance, security for financial institutions, or product engineering focused on user-facing features. You will experience the satisfaction of seeing your work directly impact real customers and revenue, understanding both the successes and the challenges of a fast-paced, high-growth environment.

Requirements

3+ years of experience as a software engineer.
Previously worked at a Series A (or similar stage) startup and went through hypergrowth challenges.
Experience dealing with legacy systems and refactoring them into sustainable, scalable architectures.
Strong backend fundamentals - ability to own features end-to-end from design to production.
Proficiency in TypeScript and/or Python.
Cares about doing great work - clean abstractions, reliable systems, code you'd be proud to open-source.

Nice To Haves

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.
Experience with the early stages of a startup.
Cares about the craft and wants to build something good, not just something that works.

Responsibilities

Build and own core product features: Backend systems, APIs, voice infrastructure.
Ship code daily that goes live for Fortune 500 clients.
Work on telephony systems, real-time voice processing, and integrations with legacy financial infrastructure.
Own specific areas such as the orchestration layer, infrastructure scaling and low-level performance, security, or product engineering.
See the direct line between your code and revenue.