About Searce
Searce is a modern technology solutions' consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.
Job Responsibilities
- Lead the design and development of complex, scalable, and secure GCP cloud architectures aligned with business objectives.
- Create detailed architectural blueprints for GCP-based solutions, incorporating compute, storage, networking, security, and data services.
- Define the overall technical vision, including cloud-native application design, container orchestration (e.g., Kubernetes/GKE), and multi-cloud strategies.
- Collaborate with C-suite executives and stakeholders to define cloud strategies and long-term roadmaps.
- Act as the subject matter expert (SME) for GCP, driving adoption of cloud services and innovative technologies such as AI/ML, serverless, and data analytics.
- Mentor and guide engineering teams, fostering best practices in DevOps, CI/CD, and IaC (Infrastructure as Code).
- Design and oversee hybrid cloud or multi-cloud architectures, integrating on-premise systems with GCP services like BigQuery, Anthos, Pub/Sub, and Cloud Storage.
- Establish and enforce GCP security best practices, including IAM, data encryption, VPC Service Controls, and zero-trust networking.
- Ensure compliance with industry standards such as ISO 27001, SOC 2, GDPR, and HIPAA where applicable.
- Conduct periodic reviews to identify opportunities for optimization and enhancements.
- Stay ahead of emerging trends in cloud technology and proactively propose innovative solutions.
- Lead proof-of-concept (PoC) initiatives to explore and validate new GCP services and features.
- Identify opportunities to integrate AI/ML and data-driven solutions into the enterprise architecture.
Qualification
Is Education overrated? Yes. We believe so. But there is no way to locate you otherwise. So we might look for at least a Bachelor’s degree in Computer Science and preferably an MBA.
Any current Google Cloud Certifications will be an added benefit and extra points if this is Professional Cloud Architect:
- 10+ years of experience in IT infrastructure, cloud architecture, or software engineering.
- 5+ years of hands-on experience architecting and implementing solutions on Google Cloud Platform (GCP).
- Expertise in GCP services, including Compute Engine, Kubernetes Engine (GKE), BigQuery, Cloud Functions, Cloud Run, Pub/Sub, Cloud Spanner, and Cloud SQL.
- Strong knowledge of networking (VPC, load balancers, interconnects), security (IAM, KMS, Cloud Armor), and storage solutions.
- Experience with DevOps practices, including CI/CD pipelines, Terraform, Cloud Build, and containerization with Docker and Kubernetes.
- Proficiency in one or more programming/scripting languages: Python, Go, Java, or Bash.
- Excellent problem-solving, analytical, and critical-thinking abilities.
- Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Leadership and mentoring experience in multi-disciplinary teams.
- Passion for continuous learning and innovation.
- Experience with multi-cloud strategies or hybrid cloud architectures using tools like Anthos.
- Hands-on experience with regulatory compliance frameworks in cloud environments.
- Professional certifications such as Google Professional Cloud Architect or Google Professional Data Engineer.
