Azure Cloud Engineer

Overview

On Site
Full Time

Skills

DoD
Development Testing
Provisioning
ARM
Windows PowerShell
Data Governance
Virtual Machines
Storage
Continuous Integration
Continuous Delivery
Artificial Intelligence
DevSecOps
Innovation
Network Security
Machine Learning Operations (ML Ops)
Training
Disaster Recovery
High Availability
Backup Administration
Replication
Prototyping
Regulatory Compliance
NIST 800-53
FedRAMP
Cyber Security
Identity Management
Vulnerability Scanning
Auditing
Documentation
Automated Testing
Security Clearance
Scripting
Python
Bash
IaaS
Organizational Skills
Communication
Presentations
Articulate
System Integration
Computer Hardware
IT Security
Encryption
Management
Cloud Computing
Orchestration
Terraform
Ansible
Jenkins
Git
Cloud Architecture
Microsoft Azure
Machine Learning (ML)
SAP BASIS
Law
FOCUS

Job Details

Job Description

ECS is seeking an Azure Cloud Engineer to work in our King George, VA office.

ECS Tech has an opportunity for a Cloud Engineer to support our DoD client at NSWC in Dahlgren, VA. The Cloud Engineer will provide capabilities to support the customer with rapid design, development, test, deployment, maintenance and operation of specific software and hardware capabilities to meet current Cyber Defensive needs.

Roles and Responsibilities:
  • Apply principals of automation, repeatability, and maintainability in infrastructure provisioning and application deployment using Infrastructure-as-Code (IaC) frameworks (e.g., Bicep, ARM, Terraform, PowerShell)
  • Architect, deploy, and manage secure scalable Azure cloud solutions (networking, security, identity management, data governance, automation, VMs, storage) in customer's environment
  • Build and maintain robust CI/CD pipelines for tradition and Artificial Intelligence/Machine Learning (AI/ML)- based applications, ensuring secure code integration and delivery
  • Continuously evaluate and maintain technical knowledge of emerging cloud technologies, AI/ML frameworks, security trends, and DevSecOps best practices to drive innovation and enhance cloud strategy and operational effectiveness
  • Design and build components encompassing network, security, identity, governance, development, and operations in Customer's environments.
  • Design and support machine learning operations (MLOps) pipelines for model training, versioning, deployment, and monitoring
  • Design disaster recovery and high availability architectures including backups, failovers, and replication
  • Develop proof-of-concept prototypes using automation for repeatability, maintainability, and to enforce standards, cyber security, and program safety.
  • Develop proof-of-concept solutions using modern cloud-native tools to validate architectural decisions and test new technologies
  • Establish and enforce cloud and security standards for alignment with the architecture, compliance frameworks (e.g., NIST 800-53, FedRamp) and Zero Trust principals
  • Establish best practices for resource scaling, cost monitoring, and cloud performance optimizations
  • Integrate advanced cybersecurity measures such as identity and access management (IAM), encryption, vulnerability scanning, and audit logging into infrastructure and workload
  • Maintain comprehensive documentation on cloud architecture, automation processes, operational procedures, etc.
  • Monitor cloud resources and application performance using cloud monitoring tools
  • Operationalize solutions from proof-of-concept through production using automation for repeatability, maintainability, and to enforce standards beginning with automated testing progressing through the Dev/Ops pipeline to automated deployment.
  • Provide insight into and knowledge of the latest virtualized and cloud, technology, solutions, industry trends, and best practices.
  • Recommend and if approved use emerging tools and methodologies to automate existing processes and design new virtualized and cloud-based infrastructures based on infrastructure as code mindset; script and deploy infrastructure components.


Required Skills

  • U.S. Citizenship and an Active Secret Clearance
  • Bachelor's Degree (in an engineering, scientific, or technical discipline)
  • 5 or more years of hands-on experience building Azure cloud architecture and working with Azure Machine Learning (ML)
  • Advanced scripting and programming experience (e.g., Python, Bash)
  • Working knowledge of cross-domain solutions (CDS) implementations and capabilities
  • Deep technical understanding of cloud infrastructure, services, and hybrid-cloud strategies.
  • Ability to document and create repeatable standard processes, tools, and frameworks for adoption at scale.
  • Customer-centered mentality with a strong focus on delivering value to customers.
  • Impeccable organizational skills and the ability to manage multiple priorities simultaneously.
  • Exceptional communication and presentation skills, with the ability to articulate complex concepts to a variety of audiences.
  • Experience working in software integration to hardware platforms.
  • Familiarity with standard IT security practices such as encryption, certificates, and key management
  • Hands-on Experience with multi-cloud implementations and cloud agnostic automation/orchestration tools such as Terraform, Ansible, Jenkins, and Git.


Desired Skills

  • Bachelor's Degree (in an engineering, scientific, or technical discipline)
  • 5 or more years of hands-on experience building Azure cloud architecture and working with Azure Machine Learning (ML)
#ECS1

ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3800+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.