| Direct Client State of MI in Lansing, MI Need AWS Cloud Engineer for Long Term Project. (128086) - Only Locals of MI. at Lansing, Michigan, USA |
| Email: [email protected] |
| From: Sai Teja, Aspired Solutions [email protected] Reply to: [email protected] Role AWS Cloud Engineer Location Lansing, MI Duration Long Term Rate DOE Mode of Interview WebEx The State of Michigan is looking for: Cloud Engineer AWS 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 a hybrid work schedule - In office 2 days a week. NO REMOTE ONLY OPTION. Will close submissions on: 3/18/2024 at 10am EST. Interview Process: Virtual Interview via MS Teams video. Please use a laptop and be prepared to share a screen if asked. Use of headphones is strongly discouraged. A screenshot photo of the candidate will be required for any Teams interviews as well as a vendor present at the beginning of interview to validate the candidate. Top Skills & Years of Experience: - 7+ years of Cloud technologies experience, preferably in AWS. - Experience with AWS services like S3, EC2, VPC, LAMDA, Amazon manage streaming for Apache Kafka (MSK), B11ROSA (OpenShift). - Experience with installing and configuring Elastic stack on a containerized environment. - Experience with Kubernetes concepts such as Pods, Deployments, Services, and Persistent Volumes. - AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) preferred. Position Justification: 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. Position Summary: 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 candidates 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) preferred. Thanks, [email protected] Saiteja. Keywords: sthree microsoft Michigan |
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| Tue Mar 12 19:12:00 UTC 2024 |