Software Consulting Engineer - Core Systems

Avaya Inc.; United States; Remote; USD 179,000 - 234,000; Full time

Job summary

Avaya Inc. is seeking a hands-on Software Consulting Engineer for Core Systems. The role focuses on server-side software, design across components, and production readiness within a virtual US-based environment.

You will turn product goals into practical designs, implement critical functionality, and carry improvements through testing, deployment, and production operation. Agentic AI development is central to our approach, promoting practical AI-assisted prototyping and rigorous verification.

Qualifications

• Substantial hands-on software engineering experience with production systems.
• Strong system design skills across multiple components.
• Backend engineering in Go, Rust, Node.js/TypeScript, or Java.
• Distributed systems, databases, cloud platforms, containers, and messaging tech.
• Experience with automated testing, deployment, observability, and troubleshooting.
• Experience using AI coding agents for substantial engineering work.
• Curiosity and initiative to learn unfamiliar technologies.
• Clear communication and collaboration across teams.

Responsibilities

• Design across component boundaries and define interfaces.
• Build robust server-side software with focus on correctness, performance, scalability, security, and observability.
• Investigate end-to-end requests, data flows, and failures across components.
• Rapid AI-assisted prototyping to validate approaches before production.
• Move between design and code, prototype approaches, and verify with tests.
• Use AI agents effectively by providing context, constraints, and reviewing generated changes.
• Learn unfamiliar systems using code, docs, experiments, and collaboration.
• Evolve software for maintainability, delivery speed, and risk management.
• Contribute across the stack including APIs, client integrations, and UI when needed.
• Provide hands-on technical leadership and mentorship.

Skills

Go

Rust

Node.js/TypeScript

Java

APIs

Education

Bachelor degree in Engineering or Computer Science

Tools

Kafka

NATS

RabbitMQ

Docker

Kubernetes

Job description

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Software Consulting Engineer - Core Systems

Location:

Virtual, US

Requisition ID: 37804

About Avaya

Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.

The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.

We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.

Learn more at https://www.avaya.com

Position Overview

We are looking for a hands‑on software engineer with strong system design skills, deep server‑side engineering experience, and the curiosity to work across a complex enterprise platform. You will turn product and engineering goals into practical designs, implement critical functionality, and carry improvements through testing, deployment, and production operation.

You should enjoy understanding how components work together, exploring unfamiliar codebases, and tracing problems beyond the boundaries of a single service. The role combines broad technical judgment with the ability and motivation to go deep into implementation details.

Agentic AI development is central to how we work. We value engineers who use AI agents to expand what they can investigate and deliver, while personally understanding, reviewing, and verifying the systems they build.

Ownership and Delivery

• Take responsibility from problem definition through implementation, production adoption, and ongoing operation.
• Show initiative: identify gaps, gather context, propose practical solutions, and move work forward with appropriate coordination.
• Work through ambiguity and setbacks, surface blockers early, and follow through on commitments.
• Balance speed with quality, explain tradeoffs, and verify that the result solves the intended problem.
• Remain accountable after release: investigate failures, incorporate feedback, and improve reliability and maintainability.
• Share knowledge and credit, seek input from component owners, and strengthen the team's ability to deliver.

Responsibilities

• Design across component boundaries. Translate ambiguous needs into clear designs, evaluate tradeoffs, define interfaces, and consider the effects on the wider system.
• Build robust server‑side software. Implement and improve services with appropriate correctness, performance, scalability, security, and operational visibility.
• Investigate end to end. Follow requests, data, and failures across components; identify root causes and work with component owners to deliver lasting improvements.
• Rapid AI‑assisted prototyping. Use AI tools to quickly build working prototypes, compare approaches, and validate technical feasibility before developing promising ideas into production‑quality software.
• Move between design and code. Prototype approaches, write critical implementation code, review changes, and validate assumptions through tests and measurements.
• Use AI agents effectively. Break work into clear tasks, supply relevant context and constraints, review generated changes, and verify behavior including failure scenarios.
• Learn unfamiliar systems. Use code, documentation, experiments, AI tools, and collaboration to become effective across languages and codebases.
• Evolve software thoughtfully. Improve maintainability and delivery speed while managing compatibility, rollout, and operational risk.
• Contribute across the stack. Work with APIs, client integrations, and user interfaces when needed to deliver a complete outcome.
• Provide hands‑on technical leadership. Communicate decisions, coordinate across teams, mentor peers, and help others deliver.

Required Experience

• Substantial hands‑on software engineering experience, with demonstrated ownership of production systems and meaningful technical decisions.
• Strong system design skills: the ability to reason about interfaces, dependencies, data flows, scalability, reliability, security, and maintainability across multiple components.
• Deep backend engineering skills in at least one relevant language (Go, Rust, Node.js/TypeScript, Java, etc), including 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 the 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.

Preferred Experience

• Production development in Rust or Go.
• Full‑stack delivery or meaningful work with client applications, SDKs, or modern frontend frameworks.
• Improving systems under demanding availability, latency, throughput, or cost constraints.
• Modernizing existing software and delivering changes across multiple components or teams.
• Event‑driven systems using Kafka, NATS, RabbitMQ, or comparable technologies.
• Contact center, telecommunications, or other real‑time enterprise applications.
• AI‑enabled application development involving tool integration, orchestration, or evaluations.

Education

Bachelor degree or equivalent experience in Engineering or Computer Science

Pay Transparency

The pay range for this opportunity is from $179,127 to $234,100 + benefits. This range represents the anticipated low and high end of the salary plus bonus for this position. Actual total compensation will vary and is based on factors such as a candidate’s qualifications, skills, and competencies.

Sponsorship and Equal Opportunity

Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Avaya is an Equal Opportunity employer and a U.S. Federal Contractor. Our commitment to equality is a core value of Avaya. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively. Physical requirements may vary by assigned work location.

This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason.