Sr. Network Development Engineer, IT Cloud & Infrastructure

Jobgether

United States4h ago

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Key details

Salary: $100K–$155K/yr
Location: United States
Work style: Remote
Level: Senior
Job type: Full-time
Experience: 5–8 yrs
Function: Software engineering
Focus area: Infrastructure / Cloud
Posted: 4h ago

Skills

argocdawsci/cdcloud computingcloud networkingdatadogfirewallsgitlab cigitopshelminfrastructure as codeinfrastructure automationkubernetesllmnetwork architecturenetwork monitoringobservabilitysdlcsoc 2terraformtroubleshootingvpc

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Network Development Engineer, IT Cloud & Infrastructure based in the United States.

The Sr. Network Development Engineer will help design, build, and operate the cloud networking infrastructure supporting a large-scale, mission-critical technology environment. This role sits at the intersection of cloud networking, infrastructure automation, and platform engineering, with a focus on creating secure, scalable, and reliable infrastructure solutions. You will collaborate with architects, security engineers, and platform teams to implement network architectures, improve infrastructure-as-code standards, and support cloud transformation initiatives. The position offers opportunities to contribute to technical design decisions, strengthen engineering practices, and improve operational efficiency through automation and AI technologies. You will work in a distributed, collaborative environment where technical depth, clear communication, and continuous improvement are highly valued.

Accountabilities

Participate in architecture and design reviews across infrastructure, platform engineering, and integration initiatives, providing technical analysis, identifying risks, and supporting the implementation of approved solutions.
Develop, maintain, and improve infrastructure-as-code modules and templates using Terraform, including networking standards and multi-account structures, to promote consistency and reduce fragmented infrastructure patterns.
Implement and operate on-premises and multi-region cloud networking architectures, including AWS Transit Gateway, centralized inspection VPC models, multi-account VPC patterns, and hybrid connectivity.
Support cloud migration and data center exit programs by contributing to cutover planning, owning defined infrastructure delivery workstreams, and coordinating with engineering and compliance stakeholders.
Contribute to documentation, technical guidance, and enablement resources that help engineering teams adopt cloud-native practices and infrastructure-as-code operating models.
Promote best practices across Terraform, Kubernetes, CI/CD pipelines, and software development lifecycle (SDLC) processes.
Communicate technical decisions, implementation trade-offs, and potential risks clearly to engineering peers and team leads, escalating issues when broader architectural guidance is required.
Leverage AI technologies to improve workflows, accelerate troubleshooting, support decision-making, and increase operational efficiency.
Contribute to network monitoring and observability practices to strengthen infrastructure visibility and operational reliability.

Requirements:

At least 5 years of experience in cloud platform engineering, infrastructure engineering, or network engineering, with demonstrated growth in technical responsibility and expertise.
Hands-on experience with AWS services and architectures, including Transit Gateway, VPCs, multi-account patterns, IAM, and Network Firewall.
Practical experience with Terraform, Kubernetes, and CI/CD platforms such as GitLab CI/CD.
Strong understanding of cloud networking concepts, including multi-region connectivity, network segmentation, inspection architectures, and hybrid or on-premises integration.
Experience contributing to architecture reviews, technical governance, and infrastructure standards, with the ability to recommend and implement improvements.
Background supporting cloud migrations or data center consolidation initiatives, including infrastructure-as-code delivery and compliance-aware design.
Experience using AI technologies to improve workflows, streamline processes, enhance troubleshooting and decision-making, and deliver operational or business value.
Strong written and verbal communication skills, with the ability to collaborate effectively with technical teams and cross-functional stakeholders.
Familiarity with network monitoring and observability tools and practices.
Additional assets: Exposure to PCI, SOC 2, or comparable compliance frameworks.
Additional assets: Hands-on familiarity with GitOps tools such as ArgoCD, Helm, or Octopus Deploy for Kubernetes-based workload delivery.
Additional assets: Active or previous Cisco certifications, such as CCNA or CCNP, or AWS certifications demonstrating infrastructure expertise.
Additional assets: Familiarity with AI and large language model (LLM) platform infrastructure, including traffic routing, access governance, and API management.
Additional assets: Experience working in managed service provider (MSP) or multi-tenant IT environments across different industries.
Additional assets: Experience implementing or migrating to Datadog as an observability platform.

Benefits:

Base salary: $100,000–$155,000 per year for US-based candidates, depending on relevant experience, skills, certifications, job level, and location.
Additional compensation: Eligibility for bonus payments and equity grants.
Healthcare: Comprehensive health insurance coverage.
Retirement savings: 401(k) plan.
Paid time off: Competitive vacation allowance and paid holidays.
Family support: Paid parental and adoption leave.
Well-being: Physical and mental wellness programs.
Professional development: Career growth, learning, and development opportunities for employees at all levels.
Employee community: Employee networks, geographic community groups, and volunteer opportunities.
Work arrangement: Fully remote position open to candidates located anywhere in the United States.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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