Don Ward is a highly accomplished Principal Software Engineer and technology leader with over 18 years of experience in designing, developing, and deploying scalable, high-performance software solutions. He possesses deep expertise in cloud-native architectures, microservices, DevOps practices, and full-stack development, primarily focusing on Java, Python, and Go. Don is passionate about building robust systems that solve real-world problems and has a proven track record of leading cross-functional teams to deliver complex projects on time and within budget. He is a strong advocate for agile methodologies, continuous learning, and mentoring junior engineers, fostering a culture of innovation and excellence.
Don Ward's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the design and implementation of a new cloud-native platform on AWS, handling 1 million+ daily active users, which reduced operational costs by 30% and improved system uptime to 99.99%.
Received the company-wide 'Innovator of the Year' award for developing a novel machine learning-based predictive analytics tool that improved customer retention by 15%.
Active contributor to several major open-source projects in the Kubernetes and distributed tracing ecosystems, enhancing their stability and feature sets.
Championed and successfully implemented an agile transformation for a team of 20+ engineers, resulting in a 40% increase in development velocity and improved team morale.
University of North Texas - Year 1990
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Laundris Corporation provides an innovative IoT platform for linen and uniform management, utilizing RFID technology to automate tracking, reduce loss, and optimize inventory for industries like hospitality and healthcare. Their system aims to improve operational efficiency and sustainability by providing real-time visibility into textile assets.
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