Cloud Engineer with EKS, Datadog/Splunk (Only W2 - No c2c/1099)

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

splunk
eks
datalog
saas
cloud engineer

Job Details

(Only W2 - No c2c/1099)

Cloud Engineer with EKS, Datadog/Splunk (Only W2 - No c2c/1099)

Location:- Phoenix, AZ(Hybrid)

Duration: 12 months

Job Summary:
We are seeking a skilled Cloud Engineer with expertise in Amazon EKS (Elastic Kubernetes Service) and observability tools like Datadog or Splunk (SaaS environments). The ideal candidate will play a key role in designing, implementing, and maintaining cloud-native applications and monitoring frameworks in a high-performance, scalable, and secure environment.

Key Responsibilities:
Design, deploy, and maintain Kubernetes clusters using Amazon EKS in production environments.

Develop and manage infrastructure as code (IaC) using tools such as Terraform or CloudFormation.

Implement and manage observability and monitoring using Datadog and/or Splunk SaaS for infrastructure and application-level metrics and logs.

Collaborate with development, operations, and security teams to define best practices for cloud-native application delivery.

Optimize the performance and availability of cloud systems and services.

Develop CI/CD pipelines integrating monitoring and security tools.

Participate in on-call rotations, root cause analysis, and incident management.

Required Qualifications:
4+ years of experience as a Cloud Engineer or DevOps Engineer.

Strong hands-on experience with Amazon EKS and container orchestration.

Expertise in monitoring tools such as Datadog, Splunk Cloud, or similar SaaS-based platforms.

Proficiency with AWS services (EC2, IAM, S3, VPC, RDS, CloudWatch, etc.).

Experience with CI/CD tools (e.g., Jenkins, GitLab CI, ArgoCD).

Solid scripting skills (Bash, Python, or similar).

Strong troubleshooting and problem-solving skills.

Preferred Qualifications:
AWS Certification (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).

Experience with service mesh tools like Istio or Linkerd.

Familiarity with GitOps practices.

Experience with cost optimization in cloud environments.

Exposure to security and compliance best practices in cloud infrastructure.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About White Oak IT Solutions