Responsibilities:
• Act as trusted Technical Advisor to the teams, customer executives, and technical leadership, translating complex technical roadmaps into clear business value and risk assessments.
• Define the multi-year, enterprise-wide strategy for cloud adoption, migration, and modernization, with a strong focus on Google Cloud Services and startegic interoperability with the second cloud platform (Pref AWS).
• Establish and enforce global cloud governance frameworks, architectural standards, reference models, and reusable patterns for deployment, security, and operations across all environments.
• Drive advanced DevOps practices and accountability models.
• Architect and lead the implementation of complex, large-scale solutions on Google Cloud, with hands-on experience in leveraging services like GKE, Cloud Dataflow, BigQuery, Cloud Run, Vertex AI, and Cloud Spanner.
• Design and govern the integration patterns for hybrid and multi-cloud systems, focusing on low-latency, secure connectivity, and consistent Identity and Access Management (IAM) across platforms (e.g., using federated identity or centralized key management).
• Define the DevSecOps and cloud security posture, ensuring that designs meet stringent regulatory (e.g., data residency) and global compliance requirements (e.g., GDPR, HIPAA).
• Lead Proof-of-Concept (PoC) initiatives for emerging technologies like Generative AI (e.g., Google Vertex AI or AWS Bedrock), serverless computing, and define their eventual architecture and integration into the enterprise landscape.
• Architect a comprehensive visibility strategy to monitor system health and proactively resolve performance bottlenecks across complex cloud environments.
• Design automated governance guardrails that ensure every deployment is secure, compliant, and cost-optimized by default.
• Mentor, coach, and grow a group of Senior/Lead Cloud Engineers, fostering a culture of engineering excellence, ownership, and continuos learning.
• Own and drive continuous improvement of the cloud architecture delivery pipeline, promoting GitOps, and end-to-end automation across the development lifecycle.
• Collaborate with the Data & AI Team and Engineering Leads to ensure architectural decisions align with product roadmaps and business domain goals.
Qualifications:
• 12+ years of experience in Infrastructure Engineering or similar role.
• Extensive experience with Google Cloud.
• Proven ability to architect for scale, availability, and high-performance workloads.
• Deep knowledge of Infrastructure as Code (IaC) with Terraform.
• Strong experience with Kubernetes and related tools (Helm, Kustomize, ArgoCD).
• Solid understanding of Git, branching models, CI/CD pipelines, and deployment strategies.
• Experience with security, audit, and compliance best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to engage with both technical and non-technical stakeholders.
• Experience in technical mentoring, team-forming, and fostering self-organization and ownership.
• Experience with customer relationship management and project planning.
Certifications:
• Relevant certifications (e.g., Kubernetes Certified Administrator, Google Cloud Certified Professional Cloud
Architect, etc.).
• Software development experience (e.g., Terraform, Python).
• Experience/Exposure with machine learning infrastructure
Education:
Skills Required
- 12+ years experience in Infrastructure Engineering or similar role
- Extensive experience with Google Cloud Platform
- Proven ability to architect for scale, availability, and high-performance workloads
- Deep knowledge of Infrastructure as Code (Terraform)
- Strong experience with Kubernetes and related tools (GKE, Helm, Kustomize, ArgoCD)
- Experience with GCP services (Cloud Dataflow, BigQuery, Cloud Run, Cloud Spanner, Vertex AI)
- Solid understanding of Git, branching models, CI/CD pipelines, GitOps and deployment strategies
- Experience defining DevSecOps, security posture, audit and compliance (e.g., GDPR, HIPAA) requirements
- Experience designing hybrid and multi-cloud integrations and IAM/federated identity patterns
- Experience mentoring and leading Senior/Lead Cloud Engineers and fostering team ownership
- Experience with customer engagement, relationship management, and project planning
- Relevant certifications (e.g., Kubernetes Certified Administrator, Google Cloud Certified Professional Cloud Architect)
- Software development experience (e.g., Terraform scripting, Python) and exposure to ML infrastructure
- Experience with AWS or a second cloud platform (preferred)
What We Do
Egen is a data engineering and cloud modernization firm partnering with leading Chicagoland companies to launch, scale, and modernize industry-changing technologies. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. Our mission is to be an enabler of amazing possibilities for companies looking to use the power of cloud and data. We want to stand shoulder to shoulder with clients, as true technology partners, and make sure they succeed at what they have set out to do. We want to be disruptors, game-changers, and innovators who have played an important part in moving the world forward.
