Springml, Inc.
From Springml, Inc.'s careers page
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Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
Act as a 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 strategic 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
Oversee cloud cost optimization initiatives, and establish technical guardrails to ensure maximum ROI across the multi-cloud footprint.
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 continuous 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
Google Cloud as a primary platform: Mastery of Google Cloud services, networking, and security
Second Cloud: Deep architectural experience in AWS (e.g., EC2, Lambda, S3, RDS, EKS) or Azure
Certifications: Google Cloud Professional Cloud Architect (Preferred), Professional/Expert-level certification from the secondary cloud provider (e.g., AWS Certified Solutions Architect - Professional)
Infrastructure as Code (IaC) using Terraform (including multi-cloud modules)
At least one programming language (Java/Python)
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