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Kubernetes AWS Certified LAMBDA Elastic Search Engineer
(Jobs in Lansing, MI)
 
Requirement id 146241
Job title Engineer
Job location in Lansing, MI
Skills required Cloud Technologies, Aws Services, Kubernetes, AWS Certified LAMBDA Elastic Search
Open Date 11-Mar-2024
Close Date
Job type Contract
Duration 12 Months
Compensation DOE
Status requirement ---
Job interview type ---
   Email Recruiter: coolsoft
Job Description Engineer: Cloud Technologies, Aws Services, Kubernetes, AWS Certified LAMBDA Elastic Search

start date : 04/01/2024

End date : 1 Years from projected start date

submission deadline :3/18 at10am EST.

client info : DHHS

Note:

* Interview Process: Virtual Interview via MS Teams video. Please use laptop and be prepared so share screen if asked. Use of headphones is strongly discouraged. A screenshot photo of candidate will be required for any Teams interviews as well as a vendor present at beginning of interview to validate candidate.

* Duration: 1 year with possible extension.

* Remote or On-site: Candidates MUST be local at time of submission within a commutable distance (1-1.5 hours). Hiring manager is not interested in candidates who need to relocate to accept the position. Will need to be onsite starting day 1 for hybrid work schedule - In office 2 days a week. NO REMOTE ONLY OPTION

Description :

This position is for an AWS Cloud Engineer who will support and complete the tasks necessary to design and implement cloud solutions for DTMB agency services supporting MDHHS. The resource will be pivotal in designing, executing, and managing our cloud projects to ensure scalability, reliability, and security. The position will collaborate closely with cross-functional teams to understand business requirements and translate them into scalable cloud solutions. The ideal candidate will have a strong background in cloud technologies, architecture design, and hands-on experience with cloud platforms such as AWS. Not having a cloud Engineer on the team will impact the MDSS modernization project and support needed post-implementation..

This position is for an AWS Cloud Engineer who will support and complete the tasks necessary to design and implement cloud solutions for DTMB agency services supporting MDHHS. The resource will be pivotal in designing, executing, and managing our cloud projects to ensure scalability, reliability, and security. The position will collaborate closely with cross-functional teams to understand business requirements and translate them into scalable cloud solutions. The ideal candidate will have a strong background in cloud technologies, architecture design, and hands-on experience with cloud platforms such as AWS.

Requirements:

1. 7+ years of Cloud technologies experience, preferably in AWS.
2. Implement infrastructure as code using tools like AWS CloudFormation or Terraform to automate the provisioning and management of AWS resources.
3. Ensure that cloud solutions adhere to security best practices, including data encryption, identity and access management (IAM), network security, and compliance with relevant regulations.
4. Optimize the performance of AWS resources and applications by tuning configurations, leveraging caching mechanisms, and implementing scalability features.
5. Experience with AWS services like S3, EC2, VPC, LAMDA, Amazon manage streaming for Apache Kafka (MSK), B11ROSA(OpenShift) , EKS or ECS Fargate, ECR
6. Implement cost-effective solutions by analyzing AWS pricing models, right-sizing resources, leveraging spot instances, and implementing cost monitoring and optimization strategies.
7. Implement monitoring and logging solutions using AWS CloudWatch, AWS Config, and other tools to ensure the health and performance of AWS resources, as well as troubleshoot issues as they arise.
8. Experience with installing and configuring Elastic stack on a containerized environment.
9. Experience in writing customized filters on Logstash.
10. Working knowledge on all the Elastic agents.
11. Familiarity with Kubernetes concepts such as Pods, Deployments, Services, and Persistent Volumes.
12. Skill in building, managing, and troubleshooting Docker containers.
13. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) pr
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 146241 while calling.
 
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(Engineer: Cloud Technologies, Aws Services, Kubernetes, AWS Certified LAMBDA Elastic Search in Lansing, MI)
     
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