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Software System Test Engineer
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Sr. Software Engineer - Core Systems
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United States
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.…
Added 13 mins ago
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Avaya

Sr. Software Engineer - Core Systems

United States

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Job details

Posting language: English
Posted: Nov 9, 2026

Original job description

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

Job Information

Job Code: 00194005 Job Family: Research and Development Job Function: Software Engineering

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

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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.

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