Salary :
Activate JobCopilot
This team is is leading humanity back to the Moon and pioneering innovative solutions in the space industry. Based in Westminster Colorado, this incredible team is looking for a skilled and experienced Cloud and DevOps Engineer.
Responsibilities include architecting cloud-based DevOps solutions, selecting appropriate toolsets, and maintaining CI/CD pipelines. Solid skills in cloud-based solution architecture, networking, AWS cloud administration, Linux, Docker/Kubernetes, and CI/CD Pipelines are required.
Duties/Responsibilities:
- Partner with development and operations teams to gather requirements and architect scalable, secure, and maintainable cloud and DevOps solutions.
- Evaluate and select modern toolsets based on industry best practices, functionality, support, security, and total cost of ownership.
- Own the enhancement, automation, and ongoing maintenance of CI/CD and software lifecycle infrastructure.
- Troubleshoot complex system and application-level issues across diverse cloud-native and containerized environments.
- Support the development and deployment of high-performance computing and data engineering solutions.
- Build and maintain Kubernetes clusters, manage deployments using YAML and Helm.
- Implement and maintain configuration management systems (e.g., Ansible).
- Design and deploy Infrastructure as Code (IaC) solutions using Terraform.
- Lead implementation of secure AWS environments using native security tools and IaC-driven deployments (IAM, SCPs, permission sets).
- Mentor junior engineers, contribute to peer reviews, and share best practices across the engineering team.
Required:
- Bachelor’s degree in Computer Science, Information Systems, or a related technical field. Relevant experience maybe considered in lieu of education.
- 5-8 years of relevant professional experience.
- 5+ years in systems, network, or cloud administration roles.
- 5+ years hands-on experience designing and deploying AWS-based DevOps solutions (Ansible, Terraform, Docker, Kubernetes).
- Expert-level Linux administration.
- Proficient in Python and Bash scripting.
- Strong AWS experience (IAM, VPC, EC2, S3, Lambda, CloudWatch, Systems Manager, etc.).
- Demonstrated experience managing CI/CD pipelines using GitLab or GitHub (GitLab preferred).
- Deep knowledge of containerization (Docker) and orchestration (Kubernetes).
- Experience in administering databases like MongoDB, PostgreSQL, or Neo4j.
- Skilled in observability and monitoring (e.g., CloudWatch, Elasticsearch).
- Strong git proficiency (branching, workflows, version control).
- Understanding of DevSecOps principles and security best practices in cloud environments.
Desired:
- Familiarity with data engineering or backend support for HPC and ML workloads.
- Experience with AWS Organizations, Service Catalog, and governance/security configurations.
- Working knowledge of identity and access management (IAM) systems and APIs.
- Experience with observability stacks (e.g., Grafana, Prometheus, DataDog).
- Familiarity with configuration management systems (e.g., Ansible).
- Proficiency in AWS CDK or Python Boto3 SDK.
- Experience with NIST 800-171 and CMMC scoped environments.
- Experience with:
- GitLab architecture and restructuring
- Terraform for AWS infrastructure automation
- CI/CD pipeline optimization and maintenance
- Cloud-native artifact repositories (e.g., Artifactory)
- Workflow/project management tools (Jira, WRIKE, Redmine)
Eligibility Requirements:
- This is an IMMEDIATE hiring need.
- Ability to work in the Westminster, CO office 3-5 days/week.
- Applicants must be a US Citizen.
- Must have a Security Clearance: Active [e.g., Secret/Top Secret/TS/SCI] security clearance required
$110,000 - $130,000 a year
Base Salary Range – $110,000 - $130,000 based on role, employee experience, and location
Signing bonus
Quarterly Performance bonuses
Company provided health insurance and 401K plan upon eligibility
Unlimited vacation time and extensive flexibility
Relocation Assistance
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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