What you'll do:
- Passion for building high-performance software development tools and processes
- Design and improve build pipelines for Coupa microservices and applications CI/CD
- Monitor and scale Github action and Jenkins infrastructure
- Own internal developer portal and IDE license administration
- Engage in building out continuous delivery pipelines with the Cloud Ops Internal Tools team
- Partner with the AppSec and Compliance teams to implement security controls in build pipelines
- Partner with the QE Test Infrastructure team on shared infrastructure and components
- Lead the enablement of Github Copilot and track productivity metrics
- Improve Coupa application logging and partner with dev teams to reduce clone usage
- Partner with dev & support teams to implement support tools for Coupa applications
- Take ownership of base application images (Rails, Java, .Net…)
- Participate in development and operational design reviews with a focus on Developer Experience
- Be a champion for Developer Experience and seek contributions from across engineering teams
- Evaluate new productivity technologies and make recommendations to leadership team
- Experience developing in languages such as Java, Ruby and Python
What you will bring to Coupa:
- Minimum of 2 years of experience as a Senior Productivity Engineering Manager
- Experience in one or more of the following languages: Java, Ruby, Python
- Expertise in developing high performance build pipelines
- Knowledge of common build framework such as Jenkins, Teamcity, Github
- Knowledge of log management systems such as Splunk, New Relic, Datadog
- Experience designing, estimating, and leading the implementation of complex build pipelines
- Proven understanding of software development and application logging best practices
- Experience working with cloud technologies from Amazon or Azure
- Proven ability to take projects from design to development to delivery
- Self-motivated, passion for learning, great motivator, strong communication skills
- Bachelor's or Master's degree in Computer Science (or equivalent), or equivalent experience
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