Sr. Cloud Network Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Bellevue (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Bellevue, WA, seeks a Sr. Cloud Network Engineer to design, implement and secure multi-cloud network architectures. You will deploy cloud-native firewalls, configure interconnects and manage scalable VPCs for AWS, Azure and Google Cloud.

Ideal candidates have hands-on Terraform IaC, Git workflows, and experience with CI/CD, Kubernetes, and security tooling. On-site role with opportunities to optimize cross-team collaboration.

Qualifications

• Extensive cloud networking experience across AWS, Azure and GCP.
• Proven ability to migrate workloads behind cloud firewalls.
• Proficiency with IaC using Terraform and Git workflows.
• Strong knowledge of TCP/IP, BGP, DNS, HTTP and SSL.

Responsibilities

• Design and implement secure multi-cloud network architectures.
• Configure cloud-native firewalls across AWS, Azure and GCP.
• Develop IaC with Terraform and integrate into CI/CD pipelines.
• Collaborate with DevOps to optimize network performance and security.
• Lead migration of workloads behind cloud firewalls and manage VPCs.

Skills

AWS/GCP/Azure

Terraform

Git

Networking

CI/CD

Kubernetes

Security

Tools

Terraform

Docker

Git

CloudWatch/Azure Monitor

OpenSource tooling

Job description

Job Description

Job Overview

Job ID: J52990

Job Title: Sr. Cloud Network Engineer

Location: Bellevue, WA

Duration: 24 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Key Responsibilities

• Cloud Network Design and Implementation
• Architect, deploy, and manage secure cloud network infrastructures on AWS, Azure, and Google Cloud Platform.
• Configure and manage cloud-native firewalls, including AWS Network Firewall, Azure Firewall, and Google Cloud Firewall.
• Design and Configuring AWS direct connect, Azure Express route and Google Cloud Platform interconnects.
• Design and implement secure, scalable VPCs, subnets, and network security groups.
• Lead the migration of workloads and applications to operate behind cloud firewalls, ensuring seamless connectivity and security.
• Leverage Terraform to create, manage, and version Infrastructure as Code (IaC) for multi-cloud environments.
• Integrate IaC into CI/CD workflows to automate provisioning and scaling of cloud resources.
• Collaborate with DevOps teams to implement tools for configuration management, monitoring, and automation.
• Design and enforce security policies using cloud-native tools like AWS Security Hub, Azure Security Center, and Google Cloud Platform Security Command Center.
• Perform regular audits of firewall configurations to ensure adherence to security and compliance requirements.
• Troubleshoot and resolve network-related security incidents.
• Optimize network performance through monitoring and tuning of cloud networking components.
• Work closely with cloud architects, developers, and IT teams to align networking solutions with business objectives.
• Recommend best practices and emerging tools to enhance cloud network security and performance.

Qualifications

Required Skills and Experience:

• Extensive experience in cloud network engineering, including hands-on expertise with AWS, Azure, and Google Cloud Platform Networks and firewalls.
• Proven track record of migrating workloads and applications behind cloud firewalls.
• Proficiency with Terraform for IaC and version control systems like Git.
• Strong understanding of network protocols (e.g., TCP/IP, BGP, DNS, HTTP, SSL) and security concepts.
• Experience with DevOps practices, CI/CD pipelines, and container orchestration (e.g., Docker, Kubernetes) platforms like AKS, EKS, PKS or OpenShift etc.
• Familiarity with monitoring tools (e.g., CloudWatch, Azure Monitor, Google Cloud Platform Operations Suite).

Preferred Skills

• Relevant certifications such as AWS Certified Advanced Networking, Azure Network Engineer Associate, or Terraform Associate.
• Experience in hybrid and multi-cloud networking.
• Scripting experience (e.g., Python, Bash) for automation.
• Knowledge of SD-WAN and software-defined networking principles.

Key Competencies

• Strong problem-solving and troubleshooting skills.
• Excellent communication and teamwork abilities.
• Ability to prioritize tasks and manage multiple projects in dynamic environments.
• Strong attention to detail and commitment to security best practices.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract