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Cloud Systems Engineer

Swoop Technologies Minneapolis, Vereinigte Staaten
Full-time Hybrid work

Publication date: 10/11/2026

You will work with the existing infrastructure and deployment team to automate, scale and test deployments of Swoop Technologies' products. Deployments may include secure, airgapped, on prem, remote, bare metal and cloud environments. Currently, deployments are closely tied to a gitlab CI/CD infrastructure. Day to day tasks will include spinning up and down AWS resources to support code development and testing, refining Terraform provisioning scripts, monitoring and building out profiling metrics, and securing overall cloud presence.

Responsibilities

Building out automation around monitoring of cloud resource health and usage; Working with security engineers to ensure NIST, STIG compliance of cloud applications; Automation of cloud resource provisioning using Terraform and Ansible; Streamlining the process by which developers deploy, run and test code in cloud environments; Enabling appropriate cloud and orchestration scaling mechanisms to ensure ideal balance of performance and resource use efficiency; Support code and resource updates of client installations; Work with client engineers to monitor and fine tune their resources

Requirements

Bachelor's degree in Computer Science or related technical field, or equivalent technical experience; 3+ years in cloud provisioning and management; Understanding of basic software security standards, CI/CD configuration, and buildout (i.e. configuring gitlab.yaml files); Code containerization (reading and editing Dockerfiles); Container orchestration (Kubernetes); Provisioning (Terraform); Cloud Deployments (AWS); Resource monitoring (Promethius); Linux, CentOS, Windows knowledge; Proficiency in Python and Bash scripting; Active US Security clearance OR ability and willingness to be sponsored for a US Security clearance

Nice to have

AWS Certifications; Experience working in AWS gov cloud; Competent in networking and virtualization (firewalls, IP tables, virtual environments, containerization, VMWare, application ingress, etc); Test/QA automation; Code quality and security scanning using tools such as SonarQube
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