
Principal Software Engineer – Analytics Platform
Posted 9 hours ago

Posted 9 hours ago
This is a fully remote position, open to applicants in United States.
• 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.
• 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 offered; specific benefits are not detailed in the posting.
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