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Avaya

Principal Software Engineer – Analytics Platform

Avaya

. Build software and cloud foundations for reliable, secure, and useful Avaya Infinity analytics .

Posted 11/10/2026full-timeRemote • United StatesLead💰 $179,127 - $234,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend development with languages such as Go, Rust, and Java, alongside hands-on experience in Terraform for infrastructure as code. Proven ability to lead system design, implement production solutions, and collaborate effectively across teams to deliver reliable and secure cloud-based analytics.

Highest-signal resume keywords
Backend Development In Go, Rust, Or JavaTerraform Infrastructure As CodeGitHub Actions Workflow EngineeringProduction Cloud Experience On Azure Or GCPUnderstanding Of Distributed Systems And API Contracts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend DevelopmentTerraformGitHub ActionsPythonSQLDistributed SystemsAPI ContractsAsynchronous MessagingIncident DiagnosisAutomated Integration Testing
Soft Skills
Clear CommunicationEvidence-Based Influence
Tools & Technologies
AzureGCPKubernetesKafkaNATSRedisDelta LakeDatabricksTrinoCodex
Industry Keywords
Multi-Tenant SaaSSecure Cloud IdentitySoftware Supply-Chain ControlsPlatform ModernizationAnalyticsContact-Center ApplicationsSecure AI Integration

Tech Stack

Tools & technologies
AzureCloudDistributed SystemsGoogle Cloud PlatformJavaKafkaKubernetesPythonRedisRustSQLTerraformGo

About the role

Key responsibilities & impact
  • Build software and cloud foundations for reliable, secure, and useful Avaya Infinity analytics
  • Lead system design across services, data, and infrastructure
  • Personally implement and operate critical engineering work in production
  • Partner with product, data, AI, platform, and operations engineers to deliver complete capabilities
  • Own work from problem definition and proof of concept through deployment, production adoption, and ongoing operation
  • Translate product goals into architecture, interfaces, and delivery plans
  • Build reliable APIs and event-driven services while preserving data correctness, tenant isolation, compatibility, and failure predictability
  • Design and maintain production infrastructure as code with Terraform
  • Author, troubleshoot, and improve GitHub Actions workflows for infrastructure and application delivery
  • Lead changes spanning services and infrastructure; define integration contracts and coordinate dependencies
  • Improve performance, resilience, observability, and cloud cost through measurement and production investigation
  • Provide technical leadership through design decisions, code review, mentoring, reusable practices, and effective use of coding agents
  • Investigate incidents, implement permanent fixes, share learnings, and help colleagues deliver

Requirements

What you’ll need
  • Substantial hands-on software engineering experience with ownership of architecture and implementation across a production platform or multiple services
  • Deep backend development in Go, Rust, Java, or a comparable production language
  • Practical Python and SQL skills
  • 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
  • Experience designing Terraform modules, managing remote state and locking, handling drift, reviewing plans, and making safe resource changes
  • Hands-on GitHub Actions workflow engineering, including reusable workflows, dependencies, artifacts, tests, deployment controls, and secure credentials or workload identity
  • Production cloud experience on Azure or GCP, including containers, Kubernetes, identity, networking, and storage
  • Experience with automated integration testing, secure authorization, observability, incident diagnosis, and controlled rollout and recovery
  • Clear communication and evidence-based influence on technical decisions
  • 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 resulting code, including errors 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 hands-on work
  • Bachelor's degree or equivalent experience in Computer Science or Engineering
  • Applicants must be currently authorized to work in the United States without visa sponsorship now or in the future
  • Preferred: production Go or Rust; high-volume event or data-processing services; Kafka, NATS, Redis, Delta Lake, Databricks, Trino, or comparable technologies; multi-tenant SaaS; secure cloud identity; dependency management; software supply-chain controls; platform modernization; analytics, contact-center applications, or secure AI integration

Benefits

Comp & perks
  • Benefits offered; specific benefits are not detailed in the posting