Job Responsibilities
Write and test code, debug programs, and integrate applications with CI/CD experience.
Write unit/integration tests, contribute to engineering boards, present on YouTube, and write detailed documentation.
Formulate, design, develop, test, and deliver data technology solutions with a balanced focus on speed and code quality.
Collaborate with business analysts, product owners, SME's, and project managers to develop user stories, estimates, and work plans.
Advise business clients and IT management of technology capabilities and recommend strategies to maximize the benefits of new technologies.
Learn, design, and build modern Data Pipelines/Streams and Data Service APIs to assist with data migration (on-premises SQL to Google SQL databases).
Write and use infrastructure as code templates and Terraform.
Understand product features for DR/BCP options and how it fits in overall application architecture.
Create design/architecture patterns covering HA and DR/BCP.
Ensure that all cloud solutions follow internally defined security and compliance controls.
Implement the enterprise cloud capability and enhance the cloud orchestration platform for automated provisioning, management, and scalability of hosts, containers, applications, and cloud services.
Understand security features in Google Cloud.
Skills and Experience Needed:
- 5+ years of Python experience including some with Python 3.x.x and strong understanding of other high-level programming languages (e.g. JAVA, Go, etc.)
- 3+ years of experience developing platform orchestration code with CI/CD pipeline knowledge.
- Experience with docker and container orchestration.
- Experience with seamless/automated build scripts used for release management across from development to production.
- Experience working with orchestration and configuration management systems such as SaltStack, Ansible, or Puppet.
- Experience writing scripts to automate operational tasks (e.g. Shell, Ansible, Python).
- Experience with automating (provisioning, configuration management, deployment) and integrating Google Data PaaS solutions and Containers (GKE).
- Ability to troubleshoot Application connectivity/access to Google data products (LB, DNS, basic routing).
- Basic knowledge of cloud automation using native Google CLI.
Desired Experience:
- Experience with managing and working with CI/CD pipelines (automation, infrastructure definition, configuration management, deployment, system and service monitoring, integration, continuous delivery, etc.)