Senior / Staff Software Engineer

Reflekt Legal; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Reflekt Legal in Austin, TX is seeking a Senior / Staff Software Engineer to own features end-to-end across frontend, backend, and infrastructure. You will help build and scale our AI employees platform, including FastAPI services and data flows, on GCP and Kubernetes.

The role offers a path to Lead Engineer and onsite preference with rare hybrid options. You will work with the founders to set technical direction, applying AI in real-time systems and voice/speech contexts, and ship

Qualifications

• Staff or senior full-stack engineer with 4+ years shipping production systems.
• Experience owning cloud infrastructure at scale, ideally with voice, SMS, or real-time media.
• Experience building with applied AI beyond prompt engineering (speech models, ML pipelines, real-time inference).
• Proficiency with Python/FastAPI on the backend, and modern TypeScript frontend; familiarity with GCP/Kubernetes.

Responsibilities

• Own features end to end across frontend, backend, and the infrastructure they run on.
• Build and scale our AI employees platform: the application, the FastAPI services, and the data flows that connect them.
• Run our cloud and telephony backbone on GCP and Kubernetes, keeping production reliable and low-latency as we grow.
• Lead our real-time voice work and own its hardest challenges: reducing latency and expanding capabilities.
• Set technical direction with the founders and raise the engineering bar as the team grows.

Skills

Full-stack engineering

Cloud infrastructure

Applied AI

Voice/telephony

Real-time systems

Tools

Python

FastAPI

GCP

Kubernetes

TypeScript

Job description

# Senior / Staff Software EngineerTrack to Lead Engineer← All open positionsAustinOnsite preferred (hybrid in rare cases)Competitive base + early-stage equity### Why this roleYou own the stack and set technical direction alongside the founders. You have a real say in the big architectural decisions, and what you ship reaches real users quickly. Perform well and you're on track to Lead Engineer.### What you'll do* Own features end to end across frontend, backend, and the infrastructure they run on.* Build and scale our AI employees platform: the application, the FastAPI services, and the data flows that connect them.* Run our cloud and telephony backbone on GCP and Kubernetes, keeping production reliable and low-latency as we grow.* Lead our real-time voice work and own its hardest challenges: pushing the voice to be the most realistic, driving down latency, and expanding what our AI employee platform can do.* Set technical direction with the founders and raise the engineering bar as the team grows.### Who you areYou own systems end to end, you have deep cloud infrastructure experience at the staff level, and you use AI in your own work every day. You don't need deep voice, telecom, and applied AI all on day one. Our stack is Python and FastAPI on the backend, GCP and Kubernetes for infrastructure, a modern TypeScript frontend, and real-time media on top. You should be comfortable across most of it and strong in at least one layer.Ideal profiles:* Staff or senior full-stack engineer with 4+ years shipping production systems, who has owned cloud infrastructure at scale, ideally with voice, SMS, or real-time media experience.* Engineer building with applied AI beyond prompt engineering (speech models, ML pipelines, real-time inference) who wants to do it full time.* Engineer from a voice, telephony, or legal-tech company who already knows the real-time stack and the integration landscape.### Nice to haveExperience at a voice AI, speech, or telephony company (TTS, STT, SIP, VoIP, latency optimization), or running Kubernetes in production at an early-stage company.#### How to applyEmail [e-mail] with a short note on why this role interests you and the hardest technical problem you've shipped, ideally in voice, speech, or real-time systems. Our CTO reviews every application personally.