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# Senior Backend Engineer, Infrastructure

- **Company:** Ellipsis Health, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Information Engineering, Data Stores, Python (Programming Language), PostgreSQL, Public Switched Telephone Networks, Queueing Systems, Redis, Data Streaming, Systems Integration, Twilio, WebSocket, WebRTC, Flexi (Photoshop Plugin), Large Language Models, Concurrency, Backend, Agentic-AI, Fastapi, Kubernetes, Low Latency, Apache Kafka, OPUS (Software), Amazon Simple Queue Service (SQS), Terraform, Grpc, Data Pipelines, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.juju.com/job/7_FEE5809789C272BF130201550D0164CE

## About the Role

Collaborate cross-functionally with ML, product, data engineering, andclient-SDK teams to deliver features such as voice cloning, multimodal hand-offs,and domain-specific memory retrieval.Qualifications: 4+ years building production back-ends in modern Python.
Proven experience with real-time streaming systems-WebRTC, WebSockets,or gRPC streaming-and proficiency with asyncio, FastAPI, or similar asyncframeworks.
Deep understanding of concurrency, buffering, audio codecs (Opus, PCM), anddistributed tracing.
Solid understanding of AWS/GCP/Azure, including container orchestration(Kubernetes/EKS/GKE), message queues (Kafka/SQS/Pub/Sub), and IaC(Terraform).
Solid grasp of relational (PostgreSQL) and in-memory (Redis) data stores; ableto model and persist conversational state.
Excellent communication skills and a bias for measured, observable, andcontinuously deployable software.Bonus Points: B.S./M.S. in CS, EE, or related fields.
Familiarity with voice-agent frameworks, Hands-on with telephony (Twilio, Telnyx), SIP, or PSTN integrations.
Experience integrating multimodal inputs (vision, text chat) into voice agents.
Familiarity with GPU inference and streaming pipelines.

## Description

Responsibilities: Expand and maintain our real-time voice pipeline: design, implement, andmaintain Python micro-services for conversational AI orchestration-audiocapture, streaming transcription, prompt/LLM logic, synthesis, and playback.
Integrate new providers & transports: add plug-ins for emerging ASR, TTS,LLM, and memory services; wire up WebRTC, SIP, or phone endpoints; buildadapters that allow hot-swapping components without downtime.
Build APIendpoints.
Deliver ultra-low latency (500 ms round-trip): profile async pipelines (asyncio,FastAPI, gRPC), optimize buffering, concurrency, and back-pressure handling.
Instrument & observe every hop: emit structured traces (OpenTelemetry),metrics, and logs for each pipeline stage; define SLOs for first-token latency,end-to-end latency, and streaming reliability.
Harden for production: implement graceful retries, idempotent messagepassing, circuit breakers, and HIPAA-compliant security (encryption in transit,per-tenant isolation, secrets rotation).