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GCP Engineer - Springfield, MO

Job in Springfield, Greene County, Missouri, 65897, USA
Listing for: Photon
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Cybersecurity
Salary/Wage Range or Industry Benchmark: 64000 - 224000 USD Yearly USD 64000.00 224000.00 YEAR
Job Description & How to Apply Below

Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using GCP services.

Automate cloud infrastructure provisioning, scaling, and monitoring using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager.

Manage and optimize GCP resources such as Compute Engine, Kubernetes Engine, Cloud Functions, and Big Query to support development teams.

Build, maintain, and enhance continuous integration and continuous deployment (CI/CD) pipelines to ensure seamless and automated code deployment to GCP environments.

Integrate CI/CD pipelines with GCP services like Cloud Build, Cloud Source Repositories, or third-party tools such as Jenkins

Ensure pipelines are optimized for faster build, test, and deployment cycles.

Implement and manage cloud monitoring and logging solutions using Dynatrace and GCP-native tools like Stackdriver (Monitoring, Logging, and Trace).

Monitor cloud infrastructure health and resolve performance issues, ensuring minimal downtime and maximum uptime.

Set up incident management workflows, implement alerting mechanisms, and create runbooks for rapid issue resolution.

Security & Compliance

Implement security best practices for cloud infrastructure, including identity and access management (IAM), encryption, and network security.

Ensure GCP environments comply with organizational security policies and industry standards such as GDPR/CCPA, or PCI-DSS.

Conduct vulnerability assessments and perform regular patching and system updates to mitigate security risks.

Collaborate with development teams to design cloud-native applications that are optimized for performance, security, and scalability on GCP.

Work closely with cloud architects to provide input on cloud design and best practices for continuous integration, testing, and deployment.

Provide day-to-day support for development, QA, and production environments, ensuring availability and stability.

Cost Optimization

Monitor and optimize cloud costs by analyzing resource utilization and recommending cost‑saving measures such as right‑sizing instances, using preemptible VMs, or implementing auto‑scaling.

Tooling & Scripting

Develop and maintain scripts (using languages like Python, Bash, or Power Shell) to automate routine tasks and system operations.

Use configuration management tools like Ansible, Chef, or Puppet to manage cloud resources and maintain system configurations.

Required Qualifications & Skills Experience

3+ years of experience as a Dev Ops Engineer or Cloud Engineer, with hands‑on experience in managing cloud infrastructure.

Proven experience working with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, Kubernetes Engine, Pub/Sub, Cloud SQL, and others.

Experience in automating cloud infrastructure with Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, or Ansible.

Technical Skills

Strong knowledge of CI/CD tools and processes (e.g., Jenkins, Git Lab CI, CircleCI, or GCP Cloud Build).

Proficiency in scripting and automation using Python, Bash, or similar languages.

Strong understanding of containerization technologies (Docker) and container orchestration tools like Kubernetes.

Familiarity with GCP networking, security (IAM, VPC, firewall rules), and monitoring tools (Stackdriver).

Experience with Git for version control and collaboration.

Familiarity with GCP‑native Dev Ops tools like Cloud Build, Cloud Source Repositories, Artifact Registry, and Binary Authorization.

Understanding of Dev Ops practices and principles, including Continuous Integration, Continuous Delivery, Infrastructure as Code, and Monitoring/Alerting.

Security & Compliance

Knowledge of security best practices for cloud environments, including IAM, network security, and data encryption.

Understanding of compliance and regulatory requirements related to cloud computing (e.g., GDPR/CCPA, HIPAA, or PCI).

Soft Skills

Strong problem‑solving skills with the ability to work in a fast‑paced environment.

Excellent communication skills, with the ability to explain technical concepts to both technical and non‑technical stakeholders.

Team‑oriented mindset with the ability to work…

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