Title: Sr. Cloud Engineer
Location: Remote (Must sit in Tempe, AZ or Austin, TX)
This is also a full-time job opportunity and only candidates that are able to work on a W2 will be considered for this opportunity.
Collaborate with product engineering teams to architect and deploy applications using Gitlab, Terraform, AWS services, and methodologies.
Envision, Design, and Build end-to-end Observability for Applications running on AWS Platform.
Create and Manage Alarms and Dashboards using Cloud Watch and Terraform.
Eliminate Toil by automating, optimizing, and driving efficiency across how a unit of work moves from dev to production
Create, maintain and share technical documentation like Runbooks, Standard Operating Procedures (SOP) used by engineers and other team members.
Ensure security is integrated into all cloud architecture solutions.
Solve problems related to operations of mission-critical services and build automation to proactively detect and prevent their re-occurrences.
Contribute to creation and operations of multi-region, multi-AZ distributed systems.
Have full oversight into changes going into Production, asset tagging, cost and capacity analysis, vulnerability, and patch management.
Define auto-scaling processes for optimizing service and compute utilization.
Be on-call rotation for application support.
Experience designing and building Data Lakes on AWS, including services such as EC2, S3, Lambda, Dynamo DB, Redshift, Glue etc.
Experience with DevOps tools such as Jenkins, Maven, GitLab, SonarQube in a cloud environment
Experience with technologies include: AWS, Linux, and Data Warehouse Technologies.
Ability to create and utilize Terraform templates to automate creation of AWS images.
Advanced experience with System Administration with Linux (RHEL/CentOS) including Microsoft Active Directory, and LDAP integration.
A team player capable of high performance, flexibility in a dynamic working environment, and the ability to lead
Skill and ability to train others on technical and procedural topics.
Bachelor's Degree in Computer Science, Engineering, or a related technical discipline recommended.
5 years of related systems engineering experience.
AWS Certification in SysOps or DevOps preferred.
Demonstrated experience in designing and developing complex distributed IT solutions (e.g., cloud, distributed systems, or high-performance computing experience).
Expert experience in Data Lake architecture and administration.
Experience with Network troubleshooting.
Experience in Machine Learning/Artificial Intelligence (ML/AI) is a plus.
To fast rack your application please apply directly to this posting or contact me (Samul Murray) directly at firstname.lastname@example.org