Staff Systems Engineer (Cloud, Network & Automation)

Location: Remote within the United States; listed locations include Poughkeepsie, Lowell, Rochester, Tucson, Research Triangle Park, Armonk, Boston, Bellevue, Atlanta, San Jose, Dallas, Austin, San Francisco, and Seattle. Some travel may be required based on business demand.

Salary: $141,000–$263,000 per year.

Company

hirify.global is a large technology and consulting corporation developing hybrid cloud, AI, quantum computing, and blockchain solutions.

What you will do

• Set architecture and engineering standards for corporate IT cloud environments across AWS, GCP, and Azure, including account structures, networking, guardrails, cost controls, risk hygiene, and legacy environment hardening.
• Define infrastructure-as-code and GitOps patterns using Terraform, Atlantis, Argo, and Semaphore, including modules, pull-request controls, drift detection, and safe rollout practices.
• Architect secure remote access and network connectivity across standard and FedRAMP environments, including VPN, zero trust access, routing, allowlisting, and egress IP management.
• Set standards for automation, orchestration, secrets, workload identity, core cloud services, Kubernetes, databases, DNS, load balancing, TLS, logging, monitoring, GitHub Enterprise, and VDI.
• Drive security posture, incident response, compliance controls, audit evidence, and investigations with Trust & Security.
• Lead cross-functional architecture, integration, consolidation, and build-versus-buy initiatives; mentor engineers and establish expectations for on-call, incident response, documentation, and operational handoff.

Requirements

• Bachelor's Degree.
• 10+ years of experience in systems, cloud, infrastructure, security, or platform engineering, with staff-level technical leadership and organization-wide outcomes.
• Deep hands-on expertise in at least one major cloud, preferably AWS, plus working expertise across AWS, Azure, and GCP, including networking, hardening, account or project structure, and large-scale cleanup or consolidation.
• Strong experience designing Terraform or equivalent infrastructure-as-code modules and pipelines at scale with pull-request controls, policy checks, Atlantis, Argo, or comparable tools.
• Experience with VPN, ZTNA, SASE, routing, allowlisting, egress NAT, DNS, and segmented or FedRAMP environments.
• Ability to design maintainable, tested automation in Python, Go, or shell and operate orchestration and CI platforms such as Rundeck, Semaphore, Workato, Cloud Run, or Cloud Functions.
• Working knowledge of Vault or comparable secrets platforms, service-account lifecycle, workload identity federation, OAuth 2.0/OIDC, SAML, and SCIM.
• Production experience operating Kubernetes, preferably GKE, managed databases, DNS, load balancers, TLS, observability, and capacity practices.
• Strong incident-management and troubleshooting skills, including on-call practices, PagerDuty, logging and monitoring, SIEM alerts, and root-cause analysis.
• Experience supporting technical controls and evidence for FedRAMP, SOC 2, ISO 27001, or similar frameworks, with understanding of least privilege and JIT access; ability to lead multi-quarter initiatives, communicate tradeoffs, and mentor engineers.
• Must be able to work without current or future visa sponsorship.

Nice to have

• Master's Degree.
• Experience leading infrastructure or IT integration through an acquisition or large-scale reorganization.
• Experience leading zero trust or network access transformations across standard and regulated environments.
• Experience with GitHub Enterprise governance, Azure Virtual Desktop or other VDI platforms, SSPM or CSPM tooling, Okta, Entra ID, or IGA tooling.
• Experience building self-service IT capabilities that replace ticket-driven requests.
• AWS, Azure, GCP, CKA, CISSP, or equivalent certifications.

Culture & Benefits

• Collaborative, inclusive environment working across time zones and backgrounds.
• Healthcare, dental, vision, mental health, life insurance, disability coverage, and financial programs including 401(k) and pension benefits.
• Paid time off including holidays, sick time, vacation, parental bonding leave, and other paid care leave.
• AI-driven learning resources, training, educational support, and certification opportunities.
• Employee resource groups, volunteering opportunities, and product and service discounts.