Principal Software Engineer – Analytics Platform

atAvayaRemoteUS flagUnited StatesFull-timeAnalytics EngineerLead$179.1k – $234.1k/year

Posted 9 hours ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop software and cloud foundations for Avaya Infinity analytics that are reliable, secure, and useful.

• Oversee system design across services, data, and infrastructure.

• Personally execute and manage essential engineering tasks in a production environment.

• Collaborate with product, data, AI, platform, and operations engineers to deliver comprehensive capabilities.

• Take ownership of projects from problem definition and proof of concept to deployment, production adoption, and continuous operation.

• Convert product objectives into architecture, interfaces, and delivery strategies.

• Create dependable APIs and event-driven services while ensuring data integrity, tenant isolation, compatibility, and failure predictability.

• Design and manage production infrastructure as code utilizing Terraform.

• Write, troubleshoot, and enhance GitHub Actions workflows for both infrastructure and application delivery.

• Direct changes that span services and infrastructure; establish integration contracts and manage dependencies.

• Enhance performance, resilience, observability, and cloud costs through measurement and investigation in production.

• Provide technical leadership by making design decisions, conducting code reviews, mentoring, promoting reusable practices, and effectively utilizing coding agents.

• Investigate incidents, implement long-term solutions, share insights, and assist colleagues in their contributions.


⛳️ Requirements

• Significant hands-on software engineering experience with ownership of architecture and implementation across a production platform or multiple services.

• Profound expertise in backend development using Go, Rust, Java, or a similar production language.

• Practical skills in Python and SQL.

• Knowledge of distributed systems, concurrency, API contracts, asynchronous messaging, data consistency, retries, idempotency, and failure recovery.

• Hands-on experience with production Terraform and infrastructure-as-code methodologies.

• Experience designing Terraform modules, managing remote state and locking, handling drift, reviewing plans, and executing safe resource modifications.

• Proficiency in 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, encompassing containers, Kubernetes, identity, networking, and storage.

• Familiarity with automated integration testing, secure authorization, observability, incident diagnosis, and controlled rollout and recovery.

• Strong communication skills and the ability to influence technical decisions based on evidence.

• Proven ability to deliver significant features, services, integrations, or engineering tools from proof of concept to production using coding agents like Codex, Cursor, or similar tools.

• Capacity to break down work, provide context and constraints for repositories, coordinate parallel tasks, review and integrate generated changes, and maintain reusable agent instructions.

• Independent comprehension of resulting code, including error handling, debugging decisions, automated tests, security and performance checks, deployment, rollback, and validated production outcomes.

• Capability to learn new systems with AI assistance and establish effective engineering practices through hands-on experience.

• Bachelor's degree or equivalent experience in Computer Science or Engineering.

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

• Preferred: experience with production Go or Rust; high-volume event or data-processing services; Kafka, NATS, Redis, Delta Lake, Databricks, Trino, or similar 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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