Jobs · New Jersey

Solutions Architect

OmegaHires · Raritan, NJ · 1 mo ago
HybridContract

About the role

We are seeking a highly experienced Lead DevOps Engineer / Cloud Solution Architect with deep expertise in Google Cloud Platform (GCP) and modern cloud-native technologies. This is a hands-on technical leadership role that combines solution design with direct implementation. The individual will design secure, scalable, resilient, and cost-effective cloud solutions; build critical platform components and automation; and lead engineers through delivery and production support.

Responsibilities

  • Design secure, scalable, resilient, and cost-effective cloud solutions.
  • Build critical platform components and automation.
  • Lead engineers through delivery and production support.
  • Translate business and nonfunctional requirements into implementable solution designs.
  • Validate decisions through prototypes and hands-on engineering.
  • Develop reusable patterns.
  • Review technical deliverables.
  • Troubleshoot complex production issues.
  • Partner with application, data, security, architecture, and operations teams to ensure solutions meet security, compliance, reliability, performance, operational, and cost objectives.

Qualifications

  • 12+ years of progressive experience in DevOps, Cloud Engineering, Platform Engineering, or SRE, with substantial hands‑on leadership experience.
  • Deep GCP expertise: multi‑project landing zones, Shared VPC, PSC, Serverless VPC Access, IAM, Workload Identity, GKE, Cloud Run, Cloud Functions.
  • Data & analytics support: hands‑on experience with Dataproc, Dataform, Cloud SQL, and BigQuery.
  • Tooling & IaC: advanced experience with Jenkins, GitHub, GitOps, Terraform, Docker, and Kubernetes.
  • Scripting: strong, production‑ready Python and Bash scripting skills.
  • Hands‑on mindset: strong desire and ability to build, test, troubleshoot, and support critical solutions directly.
  • Solid working experience with AWS architecture (IAM, VPC, EKS, Lambda).
  • Preferred: hands‑on experience with Vertex AI, Gemini Agent Platform, and GenAI operationalization.
  • Knowledge of the Google Cloud Well‑Architected Framework.
  • Certifications: GCP Professional Cloud Architect (strongly preferred); GCP Professional Cloud DevOps, Cloud Security, or Cloud Network Engineer; Kubernetes certifications (CKA, CKAD, CKS).
  • Secondary experience with Microsoft Azure architecture is a plus.

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