Principal Software Engineer – Analytics Platform

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $179.1k - $234.1k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Avaya

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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

• 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

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

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