Core Technical Responsibilities
- GCP Deep Expertise: Architect and lead the implementation of complex, large-scale solutions on GCP, with hands-on experience in leveraging services like GKE, Cloud Dataflow, BigQuery, Cloud Run, Vertex AI, and Cloud Spanner.
- Interoperability Design: 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).
- Advanced Security: Define the DevSecOps and cloud security posture, ensuring that designs meet stringent Indian regulatory (e.g., data residency) and global compliance requirements (e.g., GDPR, HIPAA).
- Innovation & PoCs: 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.
- Cloud Migration: experience in Cloud migration strategy and implementation
- Observability: Architect a comprehensive visibility strategy to monitor system health and proactively resolve performance bottlenecks across complex cloud environments.
- Policy Definition: Design automated governance guardrails that ensure every deployment is secure, compliant, and cost-optimized by default.
People Leadership & Mentorship
- Team Development: Mentor, coach, and grow a team of Senior/Lead Cloud Architects and engineers, fostering a culture of engineering excellence, ownership, and continuous learning.
- Process Improvement: Own and drive continuous improvement of the cloud architecture delivery pipeline, promoting GitOps and end-to-end automation across the development lifecycle.
- Cross-Functional Alignment: Collaborate with the Data & AI Team and Engineering Leads to ensure architectural decisions align with product roadmaps and business domain goals.
Required Qualifications
- Experience:15+ years of progressive experience in IT/Software Engineering, with at least 5-10 years in Cloud Architecture leadership roles managing enterprise-scale transformations.
Cloud Platform Mastery:
- GCP: Mastery of GCP services, networking, and security. Primary Cloud skill
- Second Cloud: Deep architectural experience in AWS (e.g., EC2,Lambda, S3, RDS, EKS)
Certifications (Preferred ):
- Google Cloud Professional Cloud Architect (Preferred)
- Professional/Expert-level Certification from the secondary cloud provider (e.g., AWS Certified Solutions Architect - Professional).
Technical Stack:
- Infrastructure as Code (IaC) using Terraform (including multi-cloud modules)
- At least one programming language ( Java/Python)
Top Skills
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.






