Builds scalable backend systems for voice AI agents, owning data models, APIs, distributed services, ML-integrated architectures, and reliability. Requires strong distributed systems, database, and networking expertise with production-scale experience.
175k – 280k/yr
On-siteBackend Engineering
About the role
Responsibilities
Design and build the backend systems and services that power Sesame's product. Own the data models, the APIs, and the distributed systems.
Write software that's built to last, focusing on scalability, reliability, and correctness.
Build and evolve frameworks and libraries that other engineers build on.
Own the full lifecycle of services: schema design, implementation, deployment, performance tuning, and on-call.
Work across the data layer, choosing and operating relational databases, NoSQL, queues, caches, search indexes.
Identify performance bottlenecks and fix them, considering cost, throughput, and latency.
Own the architecture of systems where ML models are critical: real-time audio pipelines, agentic orchestration, stateful conversation systems.
Spot opportunities to improve developer efficiency and prototype tools or workflows.
Required Qualifications
Expert-level in at least one programming language; write clean, well-designed code.
Solid distributed systems fundamentals: system models, failure modes, consistency tradeoffs, scaling strategies.
Experience building systems at scale: caching layers, sharded data stores, async processing pipelines, shared-nothing architectures.
Strong database engineering skills: complex schemas, query tuning, data modeling across relational and non-relational stores.
Comfortable with protocols and networking: REST, WebSockets, gRPC, HTTP semantics.
Deploy and run services on Kubernetes.
Proven reliability engineering instincts from challenging on-call rotations.
Genuine deep interest in an area of software (e.g., software design, CRDTs, real-time systems, database internals).
Designs, optimizes, and scales a distributed database storage layer for AI observability using Rust. Engineers performant ingestion/query code, integrates with cloud storage, deploys on Kubernetes, and profiles for cost/speed. Requires 5+ years systems/database experience, Rust proficiency.
175k – 240k/yr
On-site5+ YOEBackend Engineering
High-Frequency Trading System Engineer (USA)
TrexquantStamford, CT +1
Designs and develops ultra-low-latency high-frequency trading infrastructure in C++ and Linux. Optimizes performance across hardware/software layers and collaborates with quants for trading systems impact.
175k – 200k/yr
On-siteBackend Engineering
Software Engineer
CapeNew York, NY +1
Builds secure, privacy-focused telecommunications infrastructure including signaling firewalls, fake base-station detection, and anti-spam systems. Requires 4+ years backend experience with Golang/Rust/Java/Python, distributed systems, and strong CS fundamentals.
175k – 230k/yr
Hybrid4+ YOEBackend Engineering
Software Engineer - Mapping Data Software
ZooxFoster City, CA
Develop geometry algorithms and data interfaces for Zoox's road network mapping products. Requires 3+ years experience, strong C++ skills, and computational geometry expertise.
176k – 240k/yr
Hybrid3+ YOEBackend Engineering
Software Engineer, Scientific Models
BenchlingSan Francisco, CA
Build scalable infrastructure for scientific AI models like AlphaFold to enable fast, reliable inference in biotech workflows. Requires 3+ years experience with backend systems and scientific model deployment, strong optimization skills.