Principal Software Engineer (Analytics Platform)

Quick Facts

• Role: Principal Software Engineer (Analytics Platform)

Description

Build the software and cloud foundations that make the analytics platform reliable, secure, and useful. Lead system design across services, data, and infrastructure, then personally carry critical work through implementation and production operations, staying accountable after release.

Responsibilities

• Translate product goals into practical architecture, interfaces, and achievable delivery plans; implement critical services and integrations
• Build reliable APIs and event-driven services while preserving data correctness, tenant isolation, compatibility, and predictable failure behavior
• Design and maintain production infrastructure as code with Terraform (reusable modules, state management, environment configuration, and safe lifecycle changes)
• Author, troubleshoot, and improve GitHub Actions workflows for infrastructure and application delivery (automated tests, secure cloud authentication, artifact promotion, 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

Requirements

• Substantial hands-on software engineering experience with personal ownership of production architecture and implementation
• Deep backend development in Go, Rust, Java, or a comparable language; practical Python and SQL skills
• Strong understanding of distributed systems: concurrency, API contracts, asynchronous messaging, data consistency, retries, idempotency, and failure recovery
• Hands-on Terraform and infrastructure-as-code experience, including module design, remote state and locking, drift, reviewable plans, and safe changes
• Hands-on GitHub Actions workflow engineering: authored/debugged reusable workflows, managed dependencies/artifacts, integrated tests, deployment controls, and secure credentials/workload identity
• Production cloud experience on Azure or GCP (containers, Kubernetes, identity, networking, 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 with evidence, implementation, and collaboration
• Agentic development experience: deliver substantial features/services/tools from proof of concept to production using coding agents
• Ability to decompose work and manage agent collaboration (repository context/constraints, coordinate parallel tasks, review and integrate generated changes, maintain reusable agent instructions)
• Independent understanding of resulting code, including debugging, automated tests, security/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
• Authorized to work in the United States without visa sponsorship

Benefits

• Pay range: $179,127 to $234,100 + benefits