Cloud Engineer - Kforce Inc.
Chesterfield, MO 63017
About the Job
- 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
Requirements:
- Bachelor's degree, or combination of years of experience and education, in Computer Science, Information Technology, or a related field (or equivalent work experience)
- Google Cloud Professional certifications (like Architect, Data Engineer, or DevOps) are a plus
- Minimum 2-5 years of 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
- 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)
- Ability to thrive in a dynamic, global, ever-changing atmosphere
- Adaptable, resilient, and ready to transform teams and processes
- Communication skills
- Experience building Data Platform products and with big data technologies like Spark is a plus
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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