Vice President of Software Engineering Resume Emilio Nguyen Vice President of Software Engineering (201) 555-0186 emilio.nguyen@example.com linkedin.com/example/emilionguyen Jersey City, NJ 07302 STRENGTHS Cloud leadership Led architecture council through difficult platform choices; senior partners gained confidence in clear standards and practical tradeoffs. Data platform judgment When reporting data conflicted, clarified definitions and lineage first; teams gained reliable inputs for models and decisions. Engineering mentorship Mentored managers and technical leads through talent reviews and design sessions; peers became more confident owners. Product partnership Worked beside product, risk, and data science partners on launch details; shared context kept delivery grounded. Reliable delivery Introduced repeatable pipelines, testing, and runbooks after release friction surfaced; squads gained steadier production habits. SKILLS Cloud Architecture AWS Kubernetes Terraform Python Java TypeScript React Kafka Snowflake Data Engineering AI/ML Service Delivery CI/CD Technical Roadmaps Architecture Governance LANGUAGES English Native 40 Vietnamese Proficient 30 MY CAREER 8 Years Vice President, Software Engineering at Clearwater Financial Technologies (3.5 Years) Senior Director of Engineering at BlueHarbor Payments (2.6 Years) Engineering Manager at LatticePoint Analytics (1.8 Years) Software Engineer at Cedar Ridge Software (2 Months) SUMMARY Vice President of Software Engineering with eight years guiding cloud-native architecture , data engineering , AI-enabled services, and React applications within regulated financial environments. Leads distributed teams through platform modernization, architecture governance, secure delivery, and technical roadmap execution. Brings hands-on depth across AWS, Kubernetes, Terraform, Python, Java, TypeScript, React, Kafka, Snowflake, and PostgreSQL. Partners closely with product, data science, security, risk, and operations leaders, turning platform needs into dependable business outcomes. Motivated by opportunities where thoughtful engineering leadership improves customer experiences, strengthens data foundations, and helps engineers do their best work. Ready to contribute practical judgment, clear direction, and steady mentorship within a bank building modern digital capabilities. EXPERIENCE Vice President, Software Engineering Clearwater Financial Technologies March 2023 - Present New York, NY Direct a 34-person engineering organization delivering cloud-native data products, AI service foundations, and React workspaces for risk and treasury stakeholders. Own architecture standards, platform modernization, talent development, delivery governance, and production reliability across distributed teams. Directed 34 engineers across cloud-native data products, AI foundations, and React workspaces for financial stakeholders. Formed architecture council using AWS , Kubernetes , Terraform, and ADRs, standardizing service boundaries and deployment decisions. Moved analytical workloads into Snowflake and Kafka pipelines, improving model data access with lineage controls. Sponsored Python and TypeScript frameworks with CI/CD, testing, secrets management, and monitoring for product squads. Productionized AI scoring services with data science and model risk teams through validation gates and approvals. Mentored six engineering managers and technical leads through talent reviews, delivery metrics, and reliability commitments. Senior Director of Engineering BlueHarbor Payments July 2020 - February 2023 Boston, MA Led four cross-functional squads building payment analytics, merchant insights, and operations applications on AWS. Set engineering direction across Java, Python, React, Kubernetes, Terraform, data governance, security reviews, and delivery practices while preserving product ownership. Led four squads delivering payment analytics and merchant insights with AWS, Java , Python, React, and PostgreSQL. Reworked Kafka ingestion and schema governance, giving analysts consistent transaction data and clearer recovery procedures. Delivered React and TypeScript operations portal consolidating settlement exceptions, alerts, and merchant case context. Standardized Kubernetes deployments with Terraform modules and GitHub Actions across development, staging, and production. Resolved retention, encryption, and continuity requirements through architecture reviews with security, compliance, and reliability partners. Created design workshops and mentoring plans that improved senior engineer decisions across product teams. Engineering Manager LatticePoint Analytics September 2018 - June 2020 Philadelphia, PA Managed an eight-engineer team delivering cloud data products for institutional investment reporting and portfolio operations. Balanced product priorities with data quality, API delivery, team practices, production readiness, and stakeholder alignment. Managed eight engineers delivering cloud data products for investment reporting and portfolio operations. Migrated scheduled ETL into Python services and AWS processing, enabling more frequent portfolio reporting refreshes. Built React dashboard with TypeScript components, role-based access, and API drilldowns for operations teams. Added Snowflake quality checks covering schemas, duplicates, freshness alerts, and source reconciliation. Established sprint planning, peer review, test coverage, and runbooks for dependable incremental releases. Translated reporting needs into technical stories with product managers and analysts, reducing downstream rework. Software Engineer Cedar Ridge Software June 2018 - August 2018 Princeton, NJ Contributed to cloud migration and reporting initiatives within an Agile engineering team. Supported Java containerization, React interfaces, REST integrations, Python data utilities, automated testing, and Kubernetes readiness analysis. Converted Java services into containers for cloud migration, documenting dependencies for platform engineers. Built React components and REST integrations for a client reporting prototype used in stakeholder demonstrations. Created Python utilities for structured data loading and validation, giving analysts repeatable test fixtures. Added JUnit and Jest coverage, catching interface regressions before scheduled demonstration releases. Used Git, code review, and issue tracking for traceable Agile delivery across small product changes. Prepared architecture notes and Kubernetes demonstrations that informed future observability planning. PROJECTS Risk Data Fabric Modernization 2025 Unified Kafka ingestion, Snowflake analytical storage, lineage controls, and Python services for risk reporting. Leadership gained cleaner model inputs and a clearer path from data discovery through governed production use. Digital Treasury Operations Workspace 2023 Created a React and TypeScript workspace connecting treasury workflows with alerts, service context, and API-backed reporting. Users gained faster access to operational decisions across a regulated financial environment. LEADERSHIP & AWARDS Engineering Leadership Recognition, Clearwater Financial Technologies, 2025 Operational Excellence Award, BlueHarbor Payments, 2022 Stevens Institute of Technology Computer Science Department Award, 2018 EDUCATION Bachelor's Degree in Computer Science Stevens Institute of Technology GPA: 3.8 2018 Hoboken, NJ Coursework: Cloud computing, data structures, software engineering, database systems, artificial intelligence CERTIFICATIONS AWS Certified Solutions Architect - Associate 2021 Certified Kubernetes Administrator (CKA) 2023 Google Professional Cloud Architect 2024 TECHNICAL SKILLS Cloud Platforms: AWS, Google Cloud, Amazon EKS Container Platforms: Kubernetes, Docker, Helm Infrastructure as Code: Terraform, CloudFormation, AWS CDK Programming Languages: Python, Java, TypeScript Frontend Development: React, TypeScript, Jest Data Platforms: Snowflake, PostgreSQL, Amazon S3 Streaming Systems: Kafka, Kafka Connect, Schema Registry API Development: REST APIs, GraphQL, OpenAPI Delivery Automation: GitHub Actions, CI/CD, Git Observability Tools: Prometheus, Grafana, CloudWatch AI Service Delivery: Model validation, feature versioning, monitoring Architecture Governance: ADRs, service boundaries, design reviews SKILLS Cloud Architecture AWS Kubernetes Terraform Python Java TypeScript React Kafka Snowflake Data Engineering AI/ML Service Delivery CI/CD Technical Roadmaps Architecture Governance PROFESSIONAL AFFILIATIONS Mentor, Women Who Code New York Engineering Leadership Program, 2024 - Present Volunteer Coach, CodePath Technical Interview Preparation, 2022 - 2024 Member, Cloud Native Computing Foundation Community, 2021 - Present LANGUAGES English (Native) Vietnamese (Proficient) ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. REFERENCES AVAILABLE ON REQUEST
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