2 days ago
Remote, United StatesStaff+
Responsibilities
- Design and implement reliable integration services connecting enterprise applications, data platforms, models, and tools through APIs and asynchronous messaging.
- Automate model and application lifecycle management, including versioning, reproducibility, evaluated promotion, controlled rollout, and rollback.
- Implement authentication, permissions, isolation, recovery, and backward-compatible interface evolution across distributed system boundaries.
- Operate inference and agent services with AI engineers and improve availability, latency, reliability, and cost.
- Lead agentic delivery across services, integrations, and release automation while sharing reusable engineering practices.
- Own production outcomes by investigating failures, incorporating user feedback, and continuously improving services after release.
Requirements
- Hands-on production development experience in Go or Rust and working proficiency in Python.
- Substantial systems integration experience with distributed-service APIs, concurrency, asynchronous behavior, retries, idempotency, authentication, compatibility, and failure handling.
- Production MLOps experience covering reproducible training or model packaging, artifact tracking, deployment, monitoring, and rollback.
- Experience supporting batch or online inference and ML or AI workloads on Databricks.
- Production delivery on GCP or Azure using automated tests, CI/CD, identity controls, and observability.
- Demonstrated production delivery of a substantial feature, service, integration, or engineering tool using coding agents such as Codex, Cursor, or equivalents, including independent review, testing, security and performance checks, hardening, rollout, rollback, and verification.
- Bachelor degree or equivalent experience.
- Preferred qualifications include hands-on LLM provider integrations, multi-model routing, runtime usage and cost controls, semantic drift monitoring, evaluation-driven release pipelines, agent runtimes, durable workflow engines, highly concurrent systems, and production Go and Rust across GCP and Azure.
Benefits
- Benefits are offered, but specific benefits are not listed.
- The role is marked remote with the #LI-REMOTE designation.
Tech Stack
Categories
About Avaya
Avaya builds enterprise communications and contact-center software delivered as UCaaS, CCaaS, and CPaaS, along with services and devices, for large organizations and government agencies. Its portfolio—including the Avaya Infinity platform—supports cloud, hybrid, and on-prem deployments and modernization of legacy voice systems under subscription and support contracts. Founded in 2000 as a Lucent spinoff and now privately held under Silver Lake, Avaya is headquartered in Morristown, New Jersey and serves customers worldwide.