Principal Software Engineer (Analytics Platform)

Build the software and cloud foundations that make Avaya Infinity analytics reliable, secure, and useful. We are looking for a hands-on engineer who can lead system design across services, data, and infrastructure, then personally carry critical work through implementation and production operation.

You will partner with product, data, AI, platform, and operations engineers to deliver complete capabilities. Agentic development is central to the role: you will use coding agents to accelerate substantial engineering work while retaining the understanding and judgment needed to verify, maintain, and improve the systems you build.

Ownership and Delivery

• Take responsibility from problem definition and proof of concept through deployment, production adoption, and ongoing operation.
• Show initiative, make tradeoffs explicit, surface blockers early, and drive ambiguous work to a useful result.
• Stay accountable after release. Investigate incidents, implement permanent fixes, share what you learn, and help colleagues deliver., * Translate product goals into practical architecture, clear interfaces, and achievable delivery plans. Implement critical services and integrations yourself.
• Build reliable APIs and event-driven services, preserving data correctness, tenant isolation, compatibility, and predictable behavior during failures.
• Design and maintain production infrastructure as code with Terraform, including reusable modules, state management, environment configuration, and safe lifecycle changes.
• Author, troubleshoot, and improve GitHub Actions workflows for infrastructure and application delivery, including automated tests, secure cloud authentication, artifact promotion, and controlled releases.
• Lead changes that span services and infrastructure. Define integration contracts, coordinate dependencies, and validate complete user and operational outcomes.
• Improve performance, resilience, observability, and cloud cost through measurements and production investigation.
• Provide technical leadership through design decisions, code review, mentoring, and reusable engineering practices, including effective use of coding agents.

• Substantial hands-on software engineering experience, with personal ownership of architecture and implementation across a production platform or multiple services.
• Deep backend development in a production language such as Go, Rust, Java, or a comparable language, with practical Python and SQL skills and the ability to learn adjacent technologies.
• Strong understanding of distributed systems, concurrency, API contracts, asynchronous messaging, data consistency, retries, idempotency, and failure recovery.
• Hands-on production Terraform and infrastructure-as-code experience. You can explain module design, remote state and locking, drift, reviewable plans, and safe changes to existing resources.
• Hands-on GitHub Actions workflow engineering. You have authored and debugged reusable workflows, managed dependencies and artifacts, integrated tests and deployment controls, and implemented secure credentials or workload identity.
• Production cloud experience on Azure or GCP, including containers, Kubernetes, identity, networking, and storage. Ability to become effective across both clouds.
• Experience with automated integration testing, secure authorization, observability, incident diagnosis, and controlled rollout and recovery.
• Clear communication and a record of influencing technical decisions through evidence, implementation, and collaboration.

Agentic Development Experience

• Demonstrated delivery of a substantial feature, service, integration, or engineering tool from proof of concept into production using coding agents, such as Codex, Cursor, or comparable tools.
• Ability to decompose work, provide repository context and constraints, coordinate parallel tasks, review and integrate generated changes, and maintain reusable agent instructions.
• Independent understanding of the resulting code. You can explain errors you caught, debugging decisions, automated tests, security and performance checks, deployment, rollback, and verified production outcomes.
• Ability to learn unfamiliar systems with AI assistance and establish effective engineering practices through your own hands-on work. Tool familiarity or autocomplete alone is insufficient.

Preferred Experience

• Production Go or Rust and high-volume event or data-processing services.
• Kafka, NATS, Redis, Delta Lake, Databricks, Trino, or comparable messaging and analytics technologies.
• Multi-tenant SaaS, secure cloud identity, dependency management, and software supply-chain controls.
• Incremental modernization of operating platforms and measurement of reliability, latency, or cost improvements.
• Analytics, contact-center applications, or secure integration of AI capabilities into enterprise products., Bachelor degree or equivalent experience in Computer Science or Engineering, Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

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.

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