PayPal Staff Machine Learning Engineer 

United States, California, San Jose 

131260069

Staff DevOps Software Engineer

Your Day to Day:

• You will be involved in all aspects of the SDLC, from ideation to scoping to design & implementation.
• You will lead by example, and elevatethe design, implementation,quality, and strong engineering practices across the team.
• Utilize programming skills in Java, Groovy, Go and othersimilar programminglanguages to build highly scalable systems. Produce code that is sufficiently supported by unit tests.
• Develop and maintain technical documentation related to the project. Code review peer's work, triage and solve live issues.
• Participate fully in all scrum teamactivities. Workwith cross-functional groups and getting resultsin matrix organizations.
• Maintain and enhance the existing architectural &developer documentationsand create new ones.
• Consistently invest in your career growth through new technical or soft skills learnings.
• You will be a customer campaign, helping internal PayPal to onboard to Pipelines solution and enhance pipelines SDLC solution to adhere with ever changing needs.
• Have high energy and capable of thriving in high-paced and fun work environment.

What You Need to Bring:

• A successful candidate should bring a minimum of 6+ years of experience within software engineering, object-oriented programming and/or the DevOps space
• Experience with DevOps – Jenkins, CI/CD, Terraform (IoC) and related technologies.
• Hands-on experience with Harness CI/CD platform or related CI/CD platform(s) is highly desired
• Experiencedesigning/implementingCI/CD pipelines is required
• Experience withDocker/Containerizationand Kubernetes.Provisioning/managingdocker, K8 clusters is required
• Experience with one or more Java, Groovy, Golang, Python,scripting languagesis required
• Experience or Certification in public cloud technologies GCP or AWS is a plus.
• Knowledge/experience with Unix/Linux administration,Service OrientedArchitectures is a plus.
• Knowledge of Git, JIRA, Confluence, Slack, in anAgile environmenta plus.