
5001 - 10000 employees
💼 Consulting
📣 Marketing
📦 Logistics
💰 Post-IPO Debt on 2022-06
Consulting • Marketing • Logistics
Avaya is a leading provider of customer experience and communication solutions, empowering enterprises to innovate without disruption. The company offers a comprehensive suite of AI-driven technologies designed to enhance customer journeys, streamline employee engagement, and drive business growth, ensuring consistent, high-quality interactions across all channels. Avaya's platforms, such as the Avaya Experience Platform and Communication & Collaboration Suite, facilitate seamless cross-channel communication and collaborative workflows for organizations across a variety of industries.
🔥 0 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 11%
Where this job comes from
Posted on Avaya's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

5001 - 10000 employees
💼 Consulting
📣 Marketing
📦 Logistics
💰 Post-IPO Debt on 2022-06
Consulting • Marketing • Logistics
Avaya is a leading provider of customer experience and communication solutions, empowering enterprises to innovate without disruption. The company offers a comprehensive suite of AI-driven technologies designed to enhance customer journeys, streamline employee engagement, and drive business growth, ensuring consistent, high-quality interactions across all channels. Avaya's platforms, such as the Avaya Experience Platform and Communication & Collaboration Suite, facilitate seamless cross-channel communication and collaborative workflows for organizations across a variety of industries.
• Translate ambiguous product and engineering needs into clear designs across component boundaries • Evaluate tradeoffs, define interfaces, and consider wider system effects • Implement and improve robust server-side services for correctness, performance, scalability, security, and operational visibility • Investigate requests, data, and failures across components to identify root causes and deliver lasting improvements • Use AI tools for rapid prototyping and validate technical feasibility • Move between design and code by prototyping, implementing critical code, reviewing changes, and validating assumptions through tests and measurements • Use AI agents by breaking work into tasks, supplying context and constraints, reviewing generated changes, and verifying failure scenarios • Learn unfamiliar systems across languages and codebases using code, documentation, experiments, AI tools, and collaboration • Improve maintainability and delivery speed while managing compatibility, rollout, and operational risk • Contribute across APIs, client integrations, and user interfaces when needed • Provide hands-on technical leadership, communicate decisions, coordinate across teams, mentor peers, and help others deliver • Own work from problem definition through implementation, production adoption, ongoing operation, and reliability improvements
• Substantial hands-on software engineering experience, with demonstrated ownership of production systems and meaningful technical decisions • Strong system design skills, including interfaces, dependencies, data flows, scalability, reliability, security, and maintainability across multiple components • Deep backend engineering skills in at least one relevant language such as Go, Rust, Node.js/TypeScript, or Java • Effective debugging and performance investigation • Practical understanding of distributed systems, concurrency, asynchronous communication, data consistency, persistence, and failure recovery • Experience with databases, caching, cloud platforms, containers, and messaging technologies such as Kafka, NATS, or comparable systems is valuable • Experience with automated testing, deployment, observability, and production troubleshooting • Practical use of AI coding agents for substantial engineering work, with ability to explain decisions, identify mistakes, and independently verify results • Curiosity and demonstrated initiative to learn unfamiliar technologies and investigate beyond a single component or specialty • Clear communication and effective collaboration across engineering teams • Bachelor degree or equivalent experience • Must be currently authorized to work in the United States without the need for visa sponsorship now or in the future • Preferred: Production development in Rust or Go • Preferred: Full-stack delivery or meaningful work with client applications, SDKs, or modern frontend frameworks • Preferred: Improving systems under demanding availability, latency, throughput, or cost constraints • Preferred: Modernizing existing software and delivering changes across multiple components or teams • Preferred: Event-driven systems using Kafka, NATS, RabbitMQ, or comparable technologies • Preferred: Contact center, telecommunications, or other real-time enterprise applications • Preferred: AI-enabled application development involving tool integration, orchestration, or evaluations
• Equal Opportunity employer • U.S. Federal Contractor • Commitment to equality and equal treatment for qualified applicants and employees • Physical requirements may vary by assigned work location
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