Location:
Remote — USA, Canada, or London, UK
Engagement:Full-time / Long-term project
Compensation:$160 K–$240 K annually+ meaningful equity
Seniority:Senior / StaffAbout the Project
We are looking for aSenior/Staff Software Engineerto join a rapidly growing technology company building infrastructure forAI-powered voice agents.
The product helps companies test and improve their AI voice agents at scale. The platform can automatically run thousands of simulated calls using different accents, tones, speaking styles, personalities, and scenarios, then analyze the conversations and identify bugs, failures, and unexpected behavior.
The company is experiencing rapid growth and is now scaling its infrastructure from approximately30 K concurrent voice calls toward 100 K–200 K+ concurrent calls.
A major upcoming initiative is the development of apurpose-built database for conversational AI , designed to efficiently store, process, query, and retrieve massive volumes of voice-agent interaction data.
We're looking for someone who hasgenuinely built data infrastructure at scale— ideally as a primary author, architect, or technical owner of a database, queue, storage system, streaming platform, or other large-scale data system.

What You'll Do
Design and build apurpose-built database for conversational AI data , including storage architecture, indexing, ingestion, query paths, and retrieval at scale.
Scale simulation infrastructure from approximately30 K toward 200 K+ concurrent voice calls.
Architect systems for high availability, graceful degradation,



and99.99% uptime.
Own critical backend services built primarily withType Script/Node.js and Python.
Work with technologies across real‑time voice and AI infrastructure, includingLive Kit, Temporal, STT/TTS systems, and LLM tooling.
Build reliable pipelines for telephony events, recordings, transcripts, evaluations, and call outcomes.
Improve distributed tracing and production observability using technologies such asOpen Telemetry and Sig Noz.
Diagnose and eliminate performance bottlenecks across high‑throughput distributed systems.
Make architectural decisions around scalability, reliability, latency, storage, and infrastructure costs.
Ship quickly, measure production behavior, and continuously iterate. The engineering team currently deploys to production multiple times per day.
What We're Looking For5+ years of software engineering experience , with strong backend or infrastructure expertise.
Proven experiencebuilding a database, queue, storage engine, streaming system, distributed data platform, or comparable large-scale infrastructure.
Ideally, you were aprimary author, architect, or technical ownerrather than simply a user or contributor.




Strong knowledge ofdistributed systems , including partitioning, replication, concurrency, consistency, failure recovery, backpressure, and graceful degradation.
Experience scaling infrastructure undersignificant real‑world production load.
Ability to discuss previous systems quantitatively — for example, requests/events per second, concurrency, p95/p99 latency, data volumes, availability, cluster size, or cost improvements.
Solid backend development experience.
Type Script/Node.js and Pythonare used on the project, but engineers from other strong infrastructure backgrounds are welcome.
Strong understanding of production monitoring, observability, and distributed tracing.
High level of ownership and ability to operate effectively in a fast‑moving environment.
AI‑native mindset:actively using modern AI tools to accelerate engineering, debugging, research, and development.
Strongbias to action— comfortable building the smallest working solution, shipping it, learning from production, and iterating.
Nice to HaveDatabase internals / storage engine developmentDistributed databasesKafka, Pulsar, Redpanda, or similar messaging infrastructureStreaming or high‑throughput ingestion systemsQuery engines and indexingObservability infrastructureOpen Telemetry / Sig NozWeb RTC / Live KitTelephony, SIP, or RTPVoice or audio processingSTT/TTS infrastructureLLM infrastructureExperience at adatabase, data infrastructure, observability, or developer infrastructure company

📌 Senior/staff backend engineer (Winnipeg)
🏢 AIDA Recruitment
📍 Winnipeg