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Cloud DevOps Engineer

2 months ago

Des Moines, United States Workforce Connections Full time

Job Title: Cloud DevOps Engineer

Location: St. Louis, Mo

Direct Hire

Essential Functions

Consult and work with Cloud Platform team, working toward continuous improvement and enabling product application teams to more quickly stand-up workloads and leverage public cloud services. Join forces with our Software Development, Data Science and DevOps folks to understand their requirements and build well-architected, automated solutions, such as CI/CD, data pipelines or deployment infrastructure using Google Cloud Platform. Working with product application teams, consult, develop and maintain infrastructure-as-code (IaC) templates using Terraform to provision resources, manage configurations, and ensure consistency across the cloud use cases, from foundational provisioning of application infrastructure to desired state configuration to application installation Work with product application teams to continuously optimize their workloads for cost-efficiency and performance, making recommendations for resource adjustments as needed Lead efforts to architect and maintain Cloud Platform configurations (such as network and security configurations/constructs), ensuring secure integration with the company applications. Consult with product application teams to implement workload monitoring to ensure high availability against the cloud platform. Implement data protection and identity access management policies to safeguard cloud resources and data. Stay up-to-date with emerging cloud technologies and DevOps practices, and provide recommendations for continuous improvement.

Qualifications

Bachelor's degree, or combination of years of experience and education, in computer science, Information Technology, or a related field (or equivalent work experience). Minimum 2-5 years proven, hands-on DevOps engineer experience with major public cloud services, with preference to GCP services, including but not limited to Compute Engine, GKE, Big Query, Cloud Run and Cloud Composer. Bonus points, if you've obtained Google Cloud Professional certifications (like Architect, Data Engineer, or DevOps). Demonstrable Terraform experience Have implemented Kubernetes and Docker (or similar container engine) solutions Have built large-scale monitoring solutions with Google Cloud Monitoring or other tools (e.g., Datadog, Sentry, Prometheus, Grafana, SolarWinds). Knowledge of Python and any other scripting language (e.g., Bash). If you have experience building Data Platform products and with big data technologies like Spark, it is a plus. Ability to thrive in a dynamic, global, ever-changing atmosphere. You are adaptable, resilient, and ready to transform teams and processes. Communicate complex, technical concepts to executive staff, business sponsors and technical resources in clear concise language.

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