Jim W.
Engineering Manager @Hudl
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WORK HISTORY
Engineering Manager @Hudl
EDUCATION
Florida Atlantic University
Bachelor of Science (BS), Computer Science
Florida Atlantic University
Bachelor of Engineering - BE, Computer Science
ABOUT JIM W.
Accomplished Engineering Manager with 15+ years of software engineering and 8+ years of leading globally distributed teams to deliver innovative, reliable, and scalable solutions. Proven track record in cybersecurity, multi-tenant SaaS, cloud optimization, and AI-assisted development, driving measurable business outcomes through strategic leadership and modern engineering practices. Adept at transforming underperforming teams into high-impact delivery engines, aligning engineering outcomes with business goals, and integrating AI-powered tools to accelerate innovation and boost productivity.HighlightsBoosted engineering throughput by 35% and cut PR cycle time from 2–3 days to 1 day by leading the adoption of AI-assisted development tools (GitHub Copilot, Claude, Cursor).Turned around two failing engineering teams, delivering a business-critical Application Security product in 2 months, reducing remediation time by 84%, salvaging multimillion-dollar ARR, and securing high-value customer renewals.Cut AWS costs by 20% and raised system uptime to 99.95% by leading infrastructure optimization initiatives with senior engineers, freeing budget for product innovation.CORE COMPETENCIESLeadership & Strategy: Engineering Management, High-Performance Team Building, Strategic Planning, Coaching & Mentorship, Cross-Functional Collaboration, AI-Driven Development, Agile/Scrum/Kanban, Recruit, Hire Technology & Delivery: AWS, Docker, Kubernetes, CI/CD Pipelines, REST, Microservices, SaaS Architecture, Data Engineering AI & Automation: GitHub Copilot, Cursor, Claude, Gemini API, OpenAI API, AI-Enhanced Code Review, Automated Testing Pipelines, Intelligent Search & Recommendations Business Impact: Cloud Cost Optimization, Compliance, Cybersecurity Product Leadership, Market-Driven Product Roadmapping, Customer Retention Strategies Cloud: AWS (EC2, S3, Lambda, SQS, SNS, DynamoDB, RDS, IAM, EKS) DevOps: Docker, Kubernetes, SLA, on-call rotations, and leading incidents Databases: PostgreSQL, DynamoDB, Redis, Elasticsearch, Kafka APIs & Patterns: REST, OAuth, Microservices, Event-Driven Architectures, Multi-tenanted, Distributed Systems, API Design, Authentication, OAuth, Auth0, IAM, Serverless, MCP, Iterative Design
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