What are the responsibilities and job description for the AWS EKS & Datadog / Spunk ENguneer position at Analytics Solutions?
Job Details
Role : AWS EKS & Datadog / Spunk Engineer
Location: Phoenix, Arizona (Onsite)
10 Years of experience
Skills : AWS; Git (GitHub, GitLab, BitBucket, SVN); Kubernetes; Helm Charts; Linux; Python; Shell scripting; Splunk
Required Skills:
- In depth experience configuring and administering EKS clusters in AWS.
- In depth experience in configuring Splunk SaaSin AWS environments especially in EKS.
- In depth understanding of OpenTelemetry and configuration of OpenTelemetry Collectors.
- In depth knowledge of observability concepts and strong troubleshooting experience.
- Experience in implementing comprehensive monitoring and logging solutions in AWS using CloudWatch.
- Experience in Terraform And Infrastructure as code.
- Experience in Helm.
- Strong scripting skills in Shell and/or python.
- Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.
- Must have a good understanding of cloud concepts (Storage /compute/network).
- Experience collaborating with several cross functional teams to architect observability pipelines for various AWS services like EKS, SQS, Firehoseetc.
- Experience with Git and GitHub.
- Experience with code build and deployment using GitHub actions, and Artifact Registry.Proficient in developing and maintaining technical documentation, ADRs, and runbooks.
General Description:
- Owns all technical aspects of software development for assigned applications
- Participates in the design and development of systems & application programsFunctions as Senior member of an agile team and helps drive consistent development practices tools, common components, and documentation
- Works with product owners to prioritize features for ongoing sprints and managing a list of technical requirements based on industry trends, new technologies, known defects, and issues.
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.
