Jeffrey Squier

• Led modernization of enterprise content systems within a Kubernetes-based microservices architecture, improving platform reliability and reducing incident resolution time.
• Reduced infrastructure costs by 20–40% by migrating legacy applications to containerized OpenShift environments aligned with cloud-native and distributed system design.
• Designed and integrated REST API-driven authentication and access patterns, enabling secure access for 2,000+ global users via LDAP and Active Directory.
• Enhanced system scalability and performance by aligning services with distributed systems and modular architecture principles.
• Mentored engineering teams, implemented CI/CD pipelines, and applied DevOps best practices to increase deployment consistency and streamline development.

Tech: Kubernetes, OpenShift, Microservices, REST APIs, AWS, CI/CD, LDAP

• Led migration of 200TB of data to modern storage infrastructure, improving system performance by 30% in high-throughput distributed environments.
• Optimized backend processing pipelines, reducing ingestion time by 60–70% through improved data flow design and API-driven integration patterns.
• Designed and implemented data ingestion and processing workflows aligned with scalable, distributed system architecture.
• Improved system reliability and data consistency by integrating upstream and downstream platforms using service-layer orchestration and REST-based communication.
• Standardized engineering practices and deployment workflows, improving delivery speed and system stability.

Tech: Distributed Systems, REST APIs, Data Pipelines, AWS, Storage Systems, CI/CD

• Architected a multi-tier enterprise platform using microservices-based and API-driven design principles, integrating storage, authentication, and application layers.
• Migrated large-scale legacy systems to AWS cloud environments, improving scalability, resilience, and operational efficiency.
• Engineered data ingestion, indexing, and retrieval strategies for efficient operation of high-volume document processing systems.
• Formulated system integration patterns with REST APIs and distributed system design to enhance interoperability across platforms.
• Produced technical documentation, architecture diagrams, and deployment runbooks to facilitate scalability and maintainability of systems.

Tech: Microservices, REST APIs, AWS, Distributed Systems, Data Architecture

• Architected a multi-tier enterprise platform using microservices-based and API-driven design principles, integrating storage, authentication, and application layers.
• Migrated large-scale legacy systems to AWS cloud environments, enhancing scalability and resilience of applications.
• Designed data ingestion, indexing, and retrieval strategies to support high-volume document processing systems.
• Developed system integration patterns using REST APIs and distributed system design to enable seamless interoperability across platforms.
• Created technical documentation, architecture diagrams, and deployment runbooks, facilitating support for scalable and maintainable systems.

Tech: Microservices, REST APIs, AWS, Distributed Systems, Data Architecture

• Developed automated reporting and analytics solutions, enhancing data visibility and optimizing reporting processes.
• Implemented web-based application interfaces to replace legacy desktop tools, increasing user accessibility and enhancing system usability.
• Led system upgrades and modernization efforts, boosting platform stability and ensuring long-term supportability.
• Designed cloud-based deployment models in Azure, aligning systems with scalable and service-oriented architecture principles.

Tech: Azure, Web Applications, Data Analysis, System Modernization

New York Life Insurance | 09/2017 – 10/2021

• Led large-scale data migration initiatives, ensuring data integrity and minimizing downtime across systems.
• Designed and implemented multi-tier enterprise systems with modular and distributed architecture, enhancing scalability and reliability.
• Developed automation scripts and monitoring solutions, increasing system uptime and operational efficiency.
• Mentored offshore teams, standardizing operational procedures for distributed system support.

Tech: Linux, Automation, Distributed Systems