Senior Principal Engineering Leader

Role Overview

• Lead the technical direction and engineering delivery for platform modernization initiatives, including migration from legacy architectures to microservices-based systems in high-availability production environments
• Design and evolve API gateway patterns, service mesh capabilities, and distributed service architectures that support secure, scalable, and resilient platforms
• Drive architecture decisions for complex engineering problems involving reliability, scalability, latency, migration risk, and operational continuity
• Establish engineering patterns, reference designs, and technical standards that improve consistency and delivery quality across multiple teams
• Guide and deliver phased, zero-downtime migration strategies that reduce production risk while improving platform maintainability and speed of change
• Partner with product, infrastructure, security, and site reliability engineering teams to align and delivery on technical solutions with business priorities, operational requirements, and risk controls
• Identify, evaluate, and guide the adoption of AI and machine learning capabilities within engineering platforms, development workflows, or operational processes based on measurable business and technical outcomes
• Define technical patterns and guardrails for responsible use of AI in software engineering, including model integration, data handling, observability, performance monitoring, and risk management
• Influence large cross-functional initiatives through architecture reviews, design guidance, and hands-on technical leadership
• Mentor senior engineers through design reviews, engineering best practices, and technical problem solving

Requirements

• 12+ years of experience in engineering delivery, software engineering, platform engineering, or distributed systems engineering, including architecting and delivering highly available production platforms
• 12+ years of experience designing and building distributed services using Java, Go, or similar object-oriented or compiled programming languages
• 10+ years of experience with API platform engineering, service-oriented architectures, or platform infrastructure in large-scale environments
• 10+ years of experience leading legacy modernization or microservices transformation initiatives using phased migration approaches in production systems
• 8+ years of experience with service mesh and proxy technologies such as Istio, Envoy, or equivalent technologies
• 8+ years of experience with infrastructure-as-code practices using Terraform or equivalent technologies in cloud or hybrid environments
• 8+ years of experience influencing architecture standards, design reviews, or engineering best practices across multiple teams
• 3+ years of experience evaluating, integrating, or implementing AI, machine learning, or generative AI capabilities in software engineering, platform engineering, or operational workflows
• 3+ years of experience defining technical requirements, controls, or implementation patterns for AI-enabled solutions, including model integration, application performance, or data usage considerations
• Bachelor's degree or higher in computer science, computer engineering, information technology, or a related field, or an equivalent combination of education, related experience and/or military experience

Tech Stack

• Cloud
• Distributed Systems
• Java
• Microservices
• Terraform
• Go

Benefits

• Occasional travel (up to 10%)
• Equal Opportunity Employer
• Reasonable accommodations for disabilities
• Professional development opportunities