Principal Member of Technical Staff

Oracle•Seattle, WA

About The Position

Our team is building suite of customer and support engagement services. We create integrated tools—from machine-learning powered bots to intelligent ticket creation—to help customers get the information they need and empower support teams to have more effective conversations. We are looking for a highly experienced and driven cloud engineer to build high-scale, high-impact solutions that cut across organizational boundaries. You are customer-obsessed, never satisfied with mediocrity, and constantly strive for excellence in everything you do. You're a disciplined and methodical engineer who thrives on identifying improvement opportunities and is comfortable with ambiguity in a fluid, fast-paced environment. Your passion for technology drives you to defend your opinions and positions with clarity and conviction.

Requirements

6-8+ years of experience shipping scalable, cloud-native distributed systems in a production environment.
BS in Computer Science or equivalent experience.
Proficient in Java/C++, Python, and shell scripting.
Deep understanding of Computer Science fundamentals, including data structures and algorithms.
Hands-on experience with container orchestration (Kubernetes, Docker), Helm charts, service-oriented design patterns, and service-to-service communication protocols.
Knowledge of modern infrastructure components like service discovery and secret storage.
Experience with production operations, troubleshooting, and best practices for building highly available services.
Strong working experience with tools like GitHub/Bitbucket and CI/CD pipelines (e.g., TeamCity, Jenkins, Maven/Gradle).
Excellent communication skills, both verbal and written, with the ability to clearly explain complex technical concepts, write detailed design specs, and create architecture diagrams.

Nice To Haves

MS in Computer Science.
Experience in a fast-paced start-up environment.
Experience building control plane/data plane solutions for cloud-native companies.
Deep understanding of Unix-like operating systems.
Production experience with Cloud and ML technologies.
Experience diagnosing, troubleshooting, and resolving performance issues in complex environments.