Full Time

Cloud Engineer (GCP, Splunk Observability) | ONSITE - AZ / NC

Chelsoft Solutions Co.
$90,000 - $140,000* / year (about $43–$67 an hour)

Job Description

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Written by AI from the job title and company, not by Chelsoft Solutions Co., so some details may not match this job. The employer's own page has the real description.

Overview

The Cloud Engineer will be responsible for designing, implementing, and managing cloud infrastructure solutions utilizing Google Cloud Platform (GCP) and Splunk Observability. This role involves collaborating with cross-functional teams to ensure seamless integration and performance of cloud-based applications, offering support in troubleshooting and enhancing system reliability, and establishing best practices for cloud governance and security. The candidate will play a critical role in leveraging observability tools to optimize application performance and enhance user experience, with onsite responsibilities based in Arizona or North Carolina.



Job Responsibilities

  • Design, deploy, and manage scalable cloud architecture using GCP.
  • Implement and oversee monitoring solutions with Splunk Observability to ensure optimal application performance.
  • Collaborate with software development teams to integrate cloud solutions into existing applications.
  • Establish best practices for cloud governance, security, and compliance.
  • Troubleshoot and resolve cloud infrastructure issues in a timely manner.
  • Conduct performance tuning and optimization of cloud-hosted applications.
  • Document cloud architecture designs, standard operating procedures, and troubleshooting guides.
  • Participate in continuous learning and stay updated with GCP and observability tools advancements.


Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Professional experience with Google Cloud Platform (GCP) services and architecture.
  • Proven expertise in using Splunk for observability and monitoring.
  • Strong knowledge of cloud security principles and best practices.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Proficiency in scripting languages (e.g., Python, Bash) for automation tasks.
  • Understanding of networking concepts and protocols in a cloud environment.
  • Excellent problem-solving and analytical skills with attention to detail.


Technologies & Tools

The Cloud Engineer role requires familiarity with various technologies and tools, including but not limited to Google Cloud Platform (GCP), Splunk Observability, Docker, Kubernetes, Terraform for infrastructure as code (IaC), and CI/CD tools. Experience with monitoring and logging tools such as Prometheus and Grafana, as well as cloud security tools, is also beneficial.



Ideal Candidates

Ideal candidates for this position are proactive, detail-oriented, and possess strong communication skills, enabling effective collaboration with diverse teams. They should demonstrate a passion for technology and continuous learning, exhibiting an ability to adapt to rapidly evolving cloud landscapes. Strong analytical thinking and problem-solving abilities are essential, along with a commitment to delivering high-quality solutions that drive business objectives.

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