Dan Case Email & Phone Number

New York, Us

Oversaw the design, development, and delivery of high-quality software products, ensuring alignment with business goals and customer needs. Collaborated closely with product management, design teams, and stakeholders to drive successful product releases.Implemented extensive workflow to increase coding velocity by 40% by speeding up development, pull requests, and documentation, reducing costs by $85,000 annually.Developed end-to-end build-out of Nautobot to on-prem corporate networks, improving on-time and predictable delivery.Refactored infrastructure platform for a more straightforward footprint and cost reduction of $120,000 annually.Improved usability for customers. Crafted the AI strategy by replacing front-end SQL commands with a conversational interface.Increased product predictability and delivery through the Theory of Constraints by reducing simultaneous projects oversubscribing teams’ capability. Reduced work in progress so that high-value projects could get moving.Fostered innovative and collaborative culture. Reorganized team structure to ensure the right skills are in the right place. Eliminated dependencies and created cohesion in job description output.Implemented SLAs with documented incident response practices and root cause analysis, resulting in bugs being resolved sooner and improved customer communication.

Austin, Texas, Us

Led the platform’s development and management, overseeing technology stacks, integrations, and the overall technology strategy. Responsible for platform functionality, development, and maintaining 24/7 operations for global users. Built the data strategy, including data capture and AI/ML initiatives. Collaborated with product and design teams to develop new services.Reduced cloud spend $150,000 annually across the AWS platform through the implementation of a cost-management plan and elimination of underutilized resources.Created “Shift Left” for quality assurance and testing, giving developers ownership of testing, resulting in faster product delivery and improving sales by $97,000.Standardized and reduced cloud operating costs of our AWS Kubernetes (EKS), Docker, and ETL/Snowflake environments for pre-production and production.Established AI-based security and compliance analysis to meet and exceed SOC 2 requirementsExecuted Business Intelligence tools to provide informational dashboards across all Dealerware business units to enable data-driven decision-making.Launched company-wide observability and log analysis to provide alerting and business metrics to enhance key technical decision-making, increasing the accuracy of SLAs and Mean Time to Repair (MTTR) KPIs.Implemented Risk Up Front project delivery framework across engineering, product, and sales for improved product delivery and adherence to project timelines.

New York, Us

Led an SRE team in developing and maintaining reliable infrastructure while driving the overall technology strategy. Collaborated with product teams to set objectives, balancing tech debt and external requests, and established incident response practices. Owned the observability and created resilient, cost-effective infrastructure. Eliminated $2M of AWS and Google Cloud spend by identifying underutilized resources.Cost-reduction of $600K annually through resolving persistent bottlenecks, using data-driven actions for elimination efforts.Implemented company-wide logging, metrics, and analytics to reduce mean time-to-detection and time-to-repair KPIs by 200% for the entire SaaS offering.Hired and scaled fully remote global teams engaging company goals for cohesion in delivered initiatives.

Led the architecture, development, planning, and integration of cloud deployment projects, including performance testing, risk mitigation, defect resolution, and quality assurance. Initiated extensive business analysis, enabling a shift from on-site deployment to cloud deployment, reducing deployment time by 300% and decreasing cost by over $1M monthly.Created first pre-sales documentation to address critical productivity issues, reducing sales cycle time from 6-18 months to less than 14 days.