ONLY W2 CLOUD ENGINEER WITH AZURE AND VULNERABILITY

Cloud Engineer

100% Remote

6 Months Contract 

Must-Have Skills

Azure Cloud Engineering (Top Priority)

Candidates must demonstrate strong hands-on Azure infrastructure experience, including:

• Azure networking
• Storage Accounts
• Key Vault
• Load Balancers
• Virtual Machines
• Public/private access controls
• Cloud security configurations
• Policy-driven cloud governance

The manager is looking for engineers who understand how Azure services work under the hood and can troubleshoot infrastructure issues rather than simply deploy resources.

Vulnerability Remediation Experience

• Investigating security findings
• Determining root cause
• Identifying false positives vs. legitimate vulnerabilities
• Implementing remediation plans
• Coordinating fixes across engineering and security teams
• Moving changes through release processes
• Verifying successful remediation

The team does not want candidates whose involvement was limited to ticket routing or vulnerability reporting.

Terraform

• Reading existing Terraform code
• Troubleshooting Terraform deployments
• Modifying Terraform configurations
• Writing Terraform code when required
• Implementing infrastructure changes tied to vulnerabilities or new requirements

Virtual Machine (VM) Security & Management

Strong experience with:

• VM lifecycle management
• Golden images
• OS/software patching
• Image distribution
• Version control of VM templates
• VM vulnerability remediation
• Infrastructure hardening

Enterprise Cloud Experience

Nice-to-Have Skills

Multi-Cloud Experience

Additional experience with AWS and other cloud platforms is beneficial but not a requirement.

Software Engineering Background

Candidates with prior software development experience are viewed favorably because they often understand:

• Application architecture
• Product behavior
• Infrastructure-to-application dependencies
• Code deployment processes
• Release management workflows

Azure

• What Azure services do you work with most frequently?
• Can you describe a complex Azure issue you personally troubleshot and resolved?
• What Azure security or compliance issues have you remediated?

Vulnerability Management

• Walk me through a cloud vulnerability you identified and remediated.
• How do you determine whether a vulnerability is a false positive or requires remediation?
• What was your role in the end-to-end remediation process?

Terraform

• How often do you write Terraform versus simply executing existing code?
• Describe a Terraform issue you had to troubleshoot.
• Have you modified infrastructure code to resolve security findings?

Virtual Machines

• Have you been responsible for VM image management and patching?
• What types of VM vulnerabilities have you remediated?
• How have you handled outdated software or OS versions across large VM fleets?

Environment

• How large was the cloud environment you supported?
• Who did you typically partner with during remediation efforts?
• What change management or release processes did you follow?

Must have: Azure  and Google Cloud Platform, Cloud SME, Devops, someone that knows cloud infrastructure networking, security, Kubernetes, infrastructure as code, Terraform, Ansible, Gitlab, , and Linux

Position Summary: 

Client  is seeking senior Public Cloud Engineers to design, automate, provision, secure, and support enterprise cloud platforms across Azure and Google Cloud.

The team maintains the automated foundation that produces secure, compliant, preconfigured cloud environments and enables product teams to consume cloud services through repeatable self-service patterns.

Engineers must be hands-on, self-directed, and able to contribute quickly in a regulated, large-scale environment.

Key Responsibilities

• Design and provision secure development and production cloud environments using Terraform and reusable infrastructure-as-code modules.
• Build and support Azure and Google Cloud Platform landing zones, cloud networking stacks, identity integrations, guardrails, and shared platform services.
• Manage Terraform workspaces, state, plans, and deployment pipelines while reviewing proposed changes for accuracy and operational risk.
• Develop and maintain GitLab CI/CD and YAML-based automation for infrastructure provisioning and platform operations.
• Configure and troubleshoot networking, DNS, private connectivity, routing, cloud access, and platform dependencies.
• Implement cloud security and governance controls, including RBAC, managed identities, service principals, secrets management, service-mesh security, and compliance requirements.
• Support Kubernetes-based platforms, including AKS, Helm deployments, and related container infrastructure where required.
• Monitor platform health and troubleshoot complex infrastructure issues using cloud-native monitoring, logs, diagnostics, and enterprise observability tools.
• Conduct impact analysis, validation, post-change checks, root-cause analysis, and operational handoffs.
• Create architecture diagrams, environment specifications, implementation requirements, and support documentation in Confluence; maintain delivery visibility through Jira.
• Collaborate with Public Cloud Operations, Core Engineering, application teams, security partners, and other infrastructure stakeholders.
• Identify opportunities to improve reliability, standardization, self-service enablement, and cloud cost efficiency.

Required Qualifications

• Senior-level hands-on engineering experience with Azure or Google Cloud Platform in an enterprise environment; strong Azure expertise is highly relevant to the current platform.
• Advanced Terraform and infrastructure-as-code experience, including module development, workspace or state management, and controlled deployment practices.
• Strong understanding of cloud architecture, networking, identity, security, observability, and operational reliability.
• Experience with GitLab or comparable source-control and CI/CD platforms, plus YAML pipelines and automation practices.
• Proficiency in Bash, PowerShell, Python, or a similar scripting language.
• Demonstrated ability to troubleshoot complex infrastructure and networking issues and coordinate resolution across teams.
• Ability to produce clear technical documentation, requirements, architecture diagrams, and implementation plans.
• Self-directed working style and ability to deliver with minimal onboarding.