Staff DevOps Engineer Genentech Santa Clara, CA

Kate

Administrator
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The Position:

The Staff DevOps Engineer is a key member of engineering and DevOps groups and will apply knowledge of design principles, practices in the implementation of complex, enterprise-scale software systems. General responsibilities include design concept generation, participating in reviews for components or features, development, and testing of the core software stack, and reliability testing.

Your Responsibilities:

Software Development: This is a software development position to write high- quality software that will perform at scale, be supportable, and be extensible.

Process & Operations: Ensure the software stack integrates with our existing CI pipeline and contribute to continuous improvement; independently design, plan and deliver high-quality software

Leadership: Ensure a culture that values technical excellence together with support and compassion for individuals

Qualifications:

BS in Computer Science, or Computer Engineering, or related field.

6+ years of hands-on experience in public cloud AWS, Google or Azure (AWS Preferred) of which at the minimum 4 years of experience in the software industry.

Experience in overall areas in DevOps including CI/CD with build & release, Cloud, Internal tooling and production operation.

Experience in the cloud including AWS and optionally other types of cloud such as VMWare, Openstack or colocation vendors.

Build and operation tools that monitor backend production, Make sure backend services scale economically, Develop tooling framework, Help the dev team resolve production issues

Experience in typical Linux based data center related tasks including bare-metal server configuration, DNS and DHCP.

Experience deploying or managing large scale distributed Linux environments Partake in an on-call rotation alongside the engineers who build our production backends, Comfortable with large scale production systems and technologies, including load balancing, monitoring, distributed systems, and/or configuration management.

Experience in contemporary platforms extended from cloud such as docker container, Mesos and/or Kubernetes.

Experience in a production operation mode that includes logging and monitoring.

Experience in NOC (Network operation center) and previous SRE experience is a big plus.
 
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