Role OverviewAs a Staff Backend Engineer, you will be building and operating the backend systems for Commure's Ambient AI products, working across audio ingestion, media processing, inference orchestration, distributed workflows, storage, observability, and cloud infrastructure. You will design, build, and operate systems that power our Ambient AI products across mobile and web, and improve the reliability and scalability of services operating under variable, compute-intensive workloads.
What You Will Do
Your responsibilities will include designing, building, and operating backend systems, building and evolving inference workflows, developing orchestration systems for long-running, multi-stage workflows, and improving the reliability and scalability of services operating under variable, compute-intensive workloads.
Why It Might Be a Fit
You will be a good fit for this role if you enjoy making complex systems dependable, think carefully about failure modes, idempotency, backpressure, data integrity, latency, and operational simplicity, and have a strong understanding of distributed-systems concepts such as idempotency, consistency, concurrency, backpressure, retries, failure isolation, and eventual completion.
Requirements
- 8+ 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
Benefits
- Competitive salary
- Equity in a rapidly growing company
- Opportunities for professional growth and development
- A dynamic and supportive team environment
- A comprehensive benefits package
- Paid time off and holidays
- Flexible work arrangements
- Access to cutting-edge technology and tools
- Opportunities for mentorship and leadership development
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