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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining secure, scalable AWS GovCloud environments, with a strong focus on CI/CD automation, infrastructure as code, and integrating security throughout the software development lifecycle. Proficient in deploying and managing containerized applications using Kubernetes and supporting AI-enabled services in compliance with federal standards.
Highest-signal resume keywords
AWS GovCloud ExperienceCI/CD Pipeline DevelopmentInfrastructure as Code (Terraform, CloudFormation)Containerization (Docker, Kubernetes)Security Integration in CI/CD
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AWSTerraformCloudFormationKubernetesDockerPythonBashPowerShellCI/CD (GitLab CI/CD, Jenkins, AWS CodePipeline)Vulnerability Scanning
Soft Skills
Technical CommunicationCross-Functional CollaborationTroubleshooting
Tools & Technologies
GitLab CI/CDJenkinsAWS CodePipelineAmazon EKSAWS Secrets ManagerAWS KMSHashiCorp VaultCloudWatchPrometheusGrafana
Certifications & Qualifications
AWS Professional CertificationsDevSecOps Certifications
Industry Keywords
DoD ComplianceNIST 800-53NIST 800-171FedRAMPZero TrustAI/ML TechnologiesOperational ReadinessSecurity Best PracticesCI/CD AutomationSoftware Supply-Chain Security
Tech Stack
Tools & technologiesAnsibleAWSCloudCyber SecurityDockerFluxGrafanaJenkinsKubernetesPrometheusPythonSplunkTerraformVault
About the role
Key responsibilities & impact- Design, build, and maintain secure, scalable platform capabilities supporting application development and delivery within AWS GovCloud
- Design, implement, and maintain secure, scalable, and compliant AWS GovCloud environments supporting DoD and federal applications
- Build, maintain, and improve CI/CD pipelines using GitLab CI/CD, Jenkins, AWS CodePipeline, and related tooling
- Automate application and infrastructure deployments with testing, security scanning, compliance checks, and deployment controls
- Automate infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible
- Deploy and operate Docker/OCI containerized applications using Kubernetes, including Amazon EKS
- Integrate security across the software development lifecycle and support federal cybersecurity compliance
- Implement SAST/DAST, software composition analysis, container scanning, IaC scanning, secrets detection, vulnerability management, and compliance validation
- Support cloud infrastructure and shared platform capabilities for securely deploying and operating AI-enabled applications and services
- Support secure integration and operation of approved AI and LLM services, including Amazon Bedrock and other enterprise AI services
- Implement monitoring, logging, tracing, dashboards, and alerting across infrastructure, Kubernetes, applications, and platform services
- Participate in incident response, root-cause analysis, vulnerability remediation, and reliability improvements
- Develop automation and platform tooling using Python, Bash, PowerShell, or similar technologies
- Troubleshoot complex infrastructure, application, CI/CD, Kubernetes, networking, and cloud-service issues in production environments
- Support operational readiness, reliability, capacity, performance, and continuous improvement
- Collaborate with software engineers, AI engineers, cybersecurity teams, cloud engineers, architects, and mission stakeholders
- Develop technical documentation, architecture diagrams, runbooks, and reusable engineering standards
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Technology, Engineering, Cybersecurity, or a related technical field, or equivalent relevant professional experience
- 5+ years of hands-on experience in DevSecOps, DevOps, cloud engineering, platform engineering, software engineering, or related technical roles
- Strong hands-on experience designing, deploying, or operating workloads within AWS; AWS GovCloud experience is highly desirable
- Hands-on experience with Docker/OCI containers and Kubernetes, preferably Amazon EKS
- Experience developing and maintaining CI/CD pipelines using GitLab CI/CD, Jenkins, AWS CodePipeline, or comparable technologies
- Strong experience with Infrastructure as Code, including Terraform, CloudFormation, or comparable technologies
- Proficiency with Python and experience using Bash, PowerShell, or similar scripting languages for automation
- Experience with Git-based development workflows, automated testing, artifact management, and modern software delivery practices
- Experience integrating security capabilities into CI/CD and cloud environments, including vulnerability scanning, secrets management, IAM, secure configuration, and automated security controls
- Experience implementing monitoring, logging, alerting, and operational troubleshooting for production or production-like environments
- Working knowledge of AI/ML and generative AI technologies, including LLMs, AI APIs, model inference, and cloud infrastructure supporting AI-enabled applications
- Experience supporting, deploying, integrating, or operating AI/ML or AI-enabled applications in cloud or containerized environments
- Understanding of cloud security principles, identity and access management, networking, encryption, secrets management, and least-privilege access
- Strong troubleshooting, technical communication, documentation, and cross-functional collaboration skills
- U.S. Citizenship with eligibility for a DoD Secret clearance
- Preferred: Experience supporting DoD, federal civilian, or other highly regulated environments
- Preferred: Hands-on experience with AWS GovCloud
- Preferred: Knowledge of RMF, NIST 800-53, NIST 800-171, FedRAMP, DISA STIGs, and Zero Trust
- Preferred: Experience with Amazon Bedrock, Amazon Sagemaker, or other enterprise AI/ML platforms and services
- Preferred: Familiarity with operational considerations for AI workloads, including security, observability, scalability, availability, performance, and cost
- Preferred: Experience implementing CI/CD or platform automation supporting AI-enabled applications and services
- Preferred: Familiarity with AI security and governance considerations within federal or regulated environments
- Preferred: Experience with Helm, Argo CD, Flux, or other Kubernetes/GitOps technologies
- Preferred: Experience with CloudWatch, Prometheus, Grafana, OpenTelemetry, Splunk, or ELK
- Preferred: Experience with software supply-chain security practices such as SBOM generation, artifact signing, provenance, container hardening, and policy enforcement
- Preferred: Experience with AWS Secrets Manager, AWS KMS, HashiCorp Vault, or comparable solutions
- Preferred: AWS, Kubernetes, security, DevSecOps, or AI/ML-related professional certifications
Benefits
Comp & perks- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Wellness Resources