Open To Work
Nick Moore
Littleton,CO
Summary
Principal Site Reliability Engineer (SRE) and Kubernetes Architect with 20+ years of progressive infrastructure, networking, and cloud-native experience. Expert in designing hyper-scalable AWS platforms and enterprise-scale data platforms using Apache Spark within Azure Databricks and Microsoft Fabric ecosystems. Proven track record of delivering real-time analytics, ML workloads, and petabyte-scale data processing while integrating FinOps for significant cost optimization.
Overview
9
9
years of professional experience
Work History
Principal Site Reliability Engineer (SRE)
Talkdesk
01.2024 - Current
- Pioneered FinOps-integrated Karpenter scaling on AWS EKS, achieving $500k annual savings.
- Built AIOps anomaly detection (Datadog + Prometheus) resulting in 60% fewer false positives.
- Partnered with Rust/C++ teams on subsecond latency microservices on Kubernetes.
Network Automation Architect
Pinterest
01.2022 - 12.2023
- Managed petabyte-scale data flows on hybrid EKS with Four Golden Signals SLO monitoring.
- Collaborated with Rust/C++ engineers to achieve 30% better P99 latency via Cilium CNI and mesh tuning.
VP, Site Reliability Engineering
City National Bank
Los Angeles, USA
01.2020 - 01.2022
- Data Platform Architecture: Architected end-to-end lakehouse solutions using Microsoft Fabric and Azure Databricks, leveraging OneLake and Unity Catalog for unified governance.
- ETL & Quality: Implemented a Medallion Architecture (Bronze/Silver/Gold) using Spark notebooks for ETL transformations, ensuring high-tier data quality for bank analytics.
- Cloud Migration: Led zero-downtime migration of 5K users from on-prem to Azure.
Senior Cloud Engineer
Allscripts
San Francisco Bay Area, USA
12.2018 - 01.2020
- Real-Time Analytics: Designed and deployed Spark Structured Streaming pipelines on Azure Databricks for processing millions of events per second with Delta Lake for ACID compliance.
- ML & Scalability: Built feature engineering pipelines using PySpark and Databricks Feature Store to support ML model training across terabytes of historical data; integrated MLflow for experiment tracking.
- Cost Optimization: Implemented autoscaling clusters with spot instance integration, reducing compute costs by 40% while maintaining strict SLAs.
Senior Platform Engineer
Gemini
Los Angeles, USA
03.2017 - 12.2018
- Built Azure microservices platform for high-throughput crypto trading and low-latency order-matching engines.
Education
B.S. - Computer Science
University of Washington
Skills
- Apache Spark (PySpark/SQL)
- Azure Databricks
- Microsoft Fabric
- Delta Lake
- Unity Catalog
- MLflow
- Structured Streaming
- EKS
- Karpenter
- Lambda
- Fargate
- Multi-AZ/Region DR
- Over-Provisioning
- ML-driven anomaly detection
- Predictive scaling
- Datadog
- Prometheus
- Grafana
- Golang Operators
- Terraform
- Helm
- ArgoCD
- GitOps
- Service Mesh (Cilium/Istio)
Work Preference
Job Search Status
Open to workSalary Range
$45000/yr - $200000/yrTimeline
Principal Site Reliability Engineer (SRE)
Talkdesk
01.2024 - Current
Network Automation Architect
Pinterest
01.2022 - 12.2023
VP, Site Reliability Engineering
City National Bank
01.2020 - 01.2022
Senior Cloud Engineer
Allscripts
12.2018 - 01.2020
Senior Platform Engineer
Gemini
03.2017 - 12.2018
B.S. - Computer Science
University of Washington