Commure - Senior Backend Engineer, Ambient AI

Mountain View, CA, USA$170k - $230k+ Equity4mo ago

In Office Senior NA Cybersecurity Diagnostics Software Cloud Computing Senior Backend Developer Backend Engineer Budget Management Flask Django Reporting Docker

Requirements

• 4+ years of professional backend or infrastructure engineering experience. • Experience designing, building, and operating production distributed systems. • Strong proficiency in at least one modern backend programming language. • Experience with asynchronous processing, message queues, event-driven systems, or durable workflow execution. • A strong understanding of distributed-systems concepts such as idempotency, consistency, concurrency, backpressure, retries, failure isolation, and eventual completion. • Experience operating services in a cloud environment, including deployment, monitoring, scaling, and incident response. • Experience designing APIs, service boundaries, and data models for complex product workflows. • A track record of improving system reliability, observability, scalability, or operational efficiency. • Strong debugging skills across application, infrastructure, data, and external dependency boundaries. • An ability to reason about both real-time and long-running workloads with different latency and durability requirements. • Comfort working across backend, infrastructure, product, and AI systems rather than within a narrowly defined layer. • An ownership mindset and bias for action. You identify important risks, create clarity, and drive ambiguous infrastructure work through completion. • Experience with audio or video ingestion, streaming media, codecs, transcoding, or media-processing pipelines. • Experience building speech-to-text, diarization, transcription, or other audio-based machine-learning workflows. • Experience orchestrating large language models or multi-model inference pipelines in production. • Familiarity with workflow orchestration systems such as Temporal or similar durable execution platforms. • Experience with event-streaming and messaging technologies such as Kafka, Pub/Sub, SQS, or similar systems. • Experience with model routing, inference gateways, rate limiting, batching, caching, or GPU-backed workloads. • Experience building internal tooling for workflow inspection, replay, evaluation, or model debugging. • Experience defining SLOs, managing error budgets, designing alerts, and leading production incident response. • Familiarity with distributed tracing and observability platforms such as Grafana, OpenTelemetry, Sentry, or similar tools. • Experience with containers, Kubernetes, infrastructure as code, and cloud-native deployment systems. • Experience optimizing systems for throughput, tail latency, infrastructure cost, and workload isolation. • Experience with offline clients, background synchronization, or systems that reconcile delayed and duplicated events. • Exposure to healthcare, HIPAA, SOC 2, encryption, privacy, security, or other regulated environments. • Experience supporting AI-native, real-time, or agentic product experiences.

Responsibilities

• Design, build, and operate backend systems that power our Ambient AI products across mobile and web. • Own critical parts of the audio processing lifecycle, including: • Real-time and asynchronous audio ingestion • Streaming and chunked uploads • Audio validation, encoding, normalization, and processing • Durable storage and media lifecycle management • Recovery from interrupted, duplicated, delayed, or out-of-order uploads • Build and evolve inference workflows that coordinate transcription, diarization, language models, clinical extraction, summarization, and other AI capabilities. • Develop orchestration systems for long-running, multi-stage workflows, including: • Scheduling, queueing, and workload prioritization • Retries, timeouts, fallbacks, and dead-letter handling • Idempotency, replay, and safe workflow recovery • Model routing, versioning, and configuration • Progress tracking and user-visible workflow state • Graceful degradation when dependencies are unavailable • Improve the reliability and scalability of services operating under variable, compute-intensive workloads. • Define and maintain service-level objectives for critical workflows, including availability, processing latency, completion rates, and data durability. • Build strong observability across services and pipelines through structured logging, metrics, distributed tracing, dashboards, alerting, and diagnostic tooling. • Lead incident response and post-incident analysis for important production failures, turning operational lessons into lasting improvements. • Identify systemic failure patterns and eliminate them through better abstractions, automation, testing, and architecture. • Improve cloud infrastructure, deployment systems, capacity planning, and operational tooling as the platform scales. • Design APIs and data models that allow mobile, web, and internal systems to interact with long-running workflows safely and predictably. • Build tools that make inference pipelines easier to inspect, test, replay, evaluate, and debug. • Balance reliability, latency, quality, and infrastructure cost across AI and media-processing workloads. • Partner closely with mobile, product, AI, security, and clinical teams to turn new capabilities into production-ready workflows. • Mentor other engineers and help establish strong practices for distributed systems, observability, operational readiness, and backend architecture.

Benefits

• Estimated Base Salary $170K – $230K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Mountain View, CA • San Francisco, CA • New York City, NY • Los Angeles, CA • Recruiter Outreach • Industry Conference • Tech Community/Forum • Fireside Chat/Event • Other Job Boards • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran