Verified recordSoftware Development

David Dawes

Engineering Manager - Cloud Access at Splunk

Based in Seattle, United States

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Seniority

Manager

Department

Engineering

Location

Seattle

Industry

Software Development

Company size

9.7K

Contact information

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Email

1 credit

d•••••••@splunk.com

Phone

5 credits

+1 ••• •••• ••••

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Background

About David Dawes

30+ years as a software engineer, 9 years as a manager, 2 years as a director. There's nothing like building and leading a high performance team that hits its stride. The best teams have a synergy that makes the whole even better than the sum of it's parts as it works together to hone it's process and improve and stretches and gets more ambitious. Great teams succeed and are tough to compete with. It's fun when the teams output leads to more satisfied customers, which leads to more customers, which leads to dominant market share, which leads to more investments in improving the team and growing even more capacity. I enjoy creative work that keeps me interested and challenged. Huge scale, tight latency, extremely high availability, the bigger the challenge the more fun it is. Microservices, containers, robotics, networks, music and kinetic sculptures interest me. Communications technology in general. Specialties: Huge scale highly available horizontally scalable architectures, low latency microservices, redundancy, virtualization and containers. Streaming real time media, real time programming, robotics, patents and IPO, export, real time remote support and root cause analysis of complex clustered media oriented client sever apps, video streaming, recording, playback and management, FIPS and military certification, java, python, javascript, C++, web apps, Linux and Windows, Android, SQL, NoSQL, Cassandra, MongoDB, AngularJS, agile and scrum, too many assembly languages, pre and post sales product support, off-shoring, in-shoring, building new teams and products, product life cycles, end of life transitioning. Transitioning complex product lines from physical servers to VMs, then to microservices running in the cloud, and then to containers running on docker in the cloud. CI/CD pipeline building and support, automated testing, debugging and maintenance.

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