Amtex Systems Inc
GM - Service Delivery | Client Relations | Technology Consulting | Portfolio Management | Strategy Advisor | Recruitment | Market Research
Location: Houston, TX / Remote
Duration: Full Time
About the Role
We are seeking a hands‑on Senior DevOps Engineer with strong expertise in multi‑cloud infrastructure, automation, and secure software delivery across both Linux and Windows environments. The ideal candidate is highly skilled in Kubernetes operations, GitLab CI/CD, Terraform‑based infrastructure as code (IaC), and security automation to support applications deployed in AWS GovCloud, Azure GCC/GCC‑High, and other DoD‑accredited cloud environments.
In addition to being technically proficient, you will help coordinate DevOps activities and align tasks and deliverables across engineering and DevSecOps. You will work closely with software engineers and data scientists to build and maintain secure, compliant, and scalable DevSecOps pipelines, including those supporting AI/ML workloads and data pipelines. The role also includes infrastructure and cost optimization, ensuring efficient use of compute, storage, and GPU resources across mission and R&D environments.
This is a senior individual contributor role — ideal for someone who combines deep technical expertise with the ability to coordinate tasks, communicate priorities, and keep tasks on track. The right candidate thrives in a secure, hybrid‑cloud environment and can bridge software development, AI/ML engineering, and infrastructure operations while maintaining focus on technical execution and team alignment.
What We Offer
Secure, cutting‑edge AWS GovCloud and Azure GCC/GCC‑High environments
The opportunity to shape and implement modern DevSecOps and AI infrastructure practices
Flexible work options (remote/hybrid depending on project)
Competitive compensation and benefits (health, PTO, 401(k), certifications)
Exposure to DoD, FedRAMP, and CMMC compliance programs
What You’ll Be Responsible For
Plan and facilitate daily standups and sprint meetings to align DevOps, engineering, and compliance deliverables
Coordinate task assignments and track progress across DevOps engineers
Design, automate, and maintain secure, scalable cloud infrastructure in AWS GovCloud and Azure GCC/GCC‑High
Administer and extend GitLab Enterprise:
Design and optimize CI/CD pipelines for microservices, APIs, and AI/ML workloads
Integrate SAST, DAST, dependency scanning, SBOM, and compliance gates
Manage runners, caching, and secure secrets integration
Operate and harden Kubernetes clusters (EKS/AKS) — Helm deployments, service mesh, RBAC, and runtime policy enforcement
Develop Infrastructure as Code (IaC) using Terraform for consistent provisioning and compliance
Apply DISA STIGs, CIS Benchmarks, and DoD SRG controls across OS, container, and cloud resources
Integrate compliance automation (SCAP scans, IaC validation, artifact signing, evidence capture) into CI/CD pipelines
Collaborate with AI/ML software teams to deploy GPU‑enabled workloads, inference services, and secure model pipelines
Monitor and manage infrastructure costs, usage, and performance across environments
Implement secure identity and access integrations (Keycloak, Azure AD, SAML/OIDC)
Leverage GitOps practices (ArgoCD or Flux) for deployment governance and drift management
Support Linux and Windows applications, ensuring patching, hardening, and compliance
Establish observability and telemetry using Prometheus, Grafana, Loki, ELK, or OpenTelemetry
Contribute to automation templates, runbooks, and documentation to improve collaboration and repeatability
Required Skills and Experience
8+ years in DevOps, Cloud Infrastructure, or Platform Engineering roles
Hands‑on expertise with:
Linux and Windows administration, automation (Bash, PowerShell, Python)
AWS GovCloud and Azure GCC/GCC‑High services
Kubernetes (EKS/AKS) — deployment, scaling, RBAC, and network security
GitLab CI/CD — advanced pipeline design, integration, and security scanning
Terraform — infrastructure automation and compliance as code
Docker and container security, hardened image builds, and registry management
Observability stacks (Prometheus, Grafana, Loki, ELK)
Cost and infrastructure optimization across multi‑cloud environments
Strong understanding of:
DoD SRG (IL4/IL5) and FedRAMP Moderate/High standards
DISA STIGs, CIS Benchmarks, and automated compliance validation
NIST 800‑53, NIST 800‑171, and CMMC frameworks
AI/ML deployment pipelines, GPU workload management, and data security
Agile and sprint‑based coordination principles
Excellent communication and organizational skills with the ability to lead daily team meetings, coordinate tasks, and collaborate across teams
Preferred Skills
Experience with :
Hardened container registries (IronBank‑equivalent) and image‑signing pipelines
GitOps, Policy‑as‑Code, and automated compliance evidence generation
ArgoCD, Keycloak, Vault, or Harbor
Hybrid or air‑gapped environments and secure data transfer pipelines
Automation of compliance documentation (OSCAL, POA&M, scan reporting)
Certifications such as CKA, AWS DevOps Engineer, Azure DevOps Expert, or GitLab CI/CD Specialist
Success in This Role Looks Like
You are a hands‑on engineer who can secure, automate, and optimize multi‑cloud infrastructure.
You ensure team alignment and sprint execution through consistent communication and organization.
You bridge DevOps, software, and AI/ML engineering, enabling smooth delivery across disciplines.
You improve efficiency, scalability, and cost control through automation and architectural insight.
You bring technical excellence and coordination skills that strengthen delivery, compliance, and collaboration across programs.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr
Duration: Full Time
About the Role
We are seeking a hands‑on Senior DevOps Engineer with strong expertise in multi‑cloud infrastructure, automation, and secure software delivery across both Linux and Windows environments. The ideal candidate is highly skilled in Kubernetes operations, GitLab CI/CD, Terraform‑based infrastructure as code (IaC), and security automation to support applications deployed in AWS GovCloud, Azure GCC/GCC‑High, and other DoD‑accredited cloud environments.
In addition to being technically proficient, you will help coordinate DevOps activities and align tasks and deliverables across engineering and DevSecOps. You will work closely with software engineers and data scientists to build and maintain secure, compliant, and scalable DevSecOps pipelines, including those supporting AI/ML workloads and data pipelines. The role also includes infrastructure and cost optimization, ensuring efficient use of compute, storage, and GPU resources across mission and R&D environments.
This is a senior individual contributor role — ideal for someone who combines deep technical expertise with the ability to coordinate tasks, communicate priorities, and keep tasks on track. The right candidate thrives in a secure, hybrid‑cloud environment and can bridge software development, AI/ML engineering, and infrastructure operations while maintaining focus on technical execution and team alignment.
What We Offer
Secure, cutting‑edge AWS GovCloud and Azure GCC/GCC‑High environments
The opportunity to shape and implement modern DevSecOps and AI infrastructure practices
Flexible work options (remote/hybrid depending on project)
Competitive compensation and benefits (health, PTO, 401(k), certifications)
Exposure to DoD, FedRAMP, and CMMC compliance programs
What You’ll Be Responsible For
Plan and facilitate daily standups and sprint meetings to align DevOps, engineering, and compliance deliverables
Coordinate task assignments and track progress across DevOps engineers
Design, automate, and maintain secure, scalable cloud infrastructure in AWS GovCloud and Azure GCC/GCC‑High
Administer and extend GitLab Enterprise:
Design and optimize CI/CD pipelines for microservices, APIs, and AI/ML workloads
Integrate SAST, DAST, dependency scanning, SBOM, and compliance gates
Manage runners, caching, and secure secrets integration
Operate and harden Kubernetes clusters (EKS/AKS) — Helm deployments, service mesh, RBAC, and runtime policy enforcement
Develop Infrastructure as Code (IaC) using Terraform for consistent provisioning and compliance
Apply DISA STIGs, CIS Benchmarks, and DoD SRG controls across OS, container, and cloud resources
Integrate compliance automation (SCAP scans, IaC validation, artifact signing, evidence capture) into CI/CD pipelines
Collaborate with AI/ML software teams to deploy GPU‑enabled workloads, inference services, and secure model pipelines
Monitor and manage infrastructure costs, usage, and performance across environments
Implement secure identity and access integrations (Keycloak, Azure AD, SAML/OIDC)
Leverage GitOps practices (ArgoCD or Flux) for deployment governance and drift management
Support Linux and Windows applications, ensuring patching, hardening, and compliance
Establish observability and telemetry using Prometheus, Grafana, Loki, ELK, or OpenTelemetry
Contribute to automation templates, runbooks, and documentation to improve collaboration and repeatability
Required Skills and Experience
8+ years in DevOps, Cloud Infrastructure, or Platform Engineering roles
Hands‑on expertise with:
Linux and Windows administration, automation (Bash, PowerShell, Python)
AWS GovCloud and Azure GCC/GCC‑High services
Kubernetes (EKS/AKS) — deployment, scaling, RBAC, and network security
GitLab CI/CD — advanced pipeline design, integration, and security scanning
Terraform — infrastructure automation and compliance as code
Docker and container security, hardened image builds, and registry management
Observability stacks (Prometheus, Grafana, Loki, ELK)
Cost and infrastructure optimization across multi‑cloud environments
Strong understanding of:
DoD SRG (IL4/IL5) and FedRAMP Moderate/High standards
DISA STIGs, CIS Benchmarks, and automated compliance validation
NIST 800‑53, NIST 800‑171, and CMMC frameworks
AI/ML deployment pipelines, GPU workload management, and data security
Agile and sprint‑based coordination principles
Excellent communication and organizational skills with the ability to lead daily team meetings, coordinate tasks, and collaborate across teams
Preferred Skills
Experience with :
Hardened container registries (IronBank‑equivalent) and image‑signing pipelines
GitOps, Policy‑as‑Code, and automated compliance evidence generation
ArgoCD, Keycloak, Vault, or Harbor
Hybrid or air‑gapped environments and secure data transfer pipelines
Automation of compliance documentation (OSCAL, POA&M, scan reporting)
Certifications such as CKA, AWS DevOps Engineer, Azure DevOps Expert, or GitLab CI/CD Specialist
Success in This Role Looks Like
You are a hands‑on engineer who can secure, automate, and optimize multi‑cloud infrastructure.
You ensure team alignment and sprint execution through consistent communication and organization.
You bridge DevOps, software, and AI/ML engineering, enabling smooth delivery across disciplines.
You improve efficiency, scalability, and cost control through automation and architectural insight.
You bring technical excellence and coordination skills that strengthen delivery, compliance, and collaboration across programs.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr