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Solutions Architect
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JOB DESCRIPTION:
Role: Solution Architect
Location: Singapore
Experience: 15+ Years
Key Responsibilities
Multi-Cloud Architecture:
Design and implement resilient, distributed architectures across AWS, Azure, and GCP, selecting the optimal compute (VMs, Lambda/Functions) and storage (S3, Cloud Spanner, RDS) services for each use case
Container Orchestration: Lead the containerization strategy using Docker and manage large-scale deployments on Kubernetes (K8s), OpenShift, or Docker Swarm
Expertise:
15+ years in Java and Unix/Linux environments
Cloud Proficiency: Deep, hands-on experience in any major clouds:
Build Version Control: Expert knowledge of Maven, Gradle, Git (GitHub/Bitbucket/GitLab), and Jira for lifecycle management.
Core Competencies
Strategic Leadership: Ability to lead digital transformation projects and manage technical debt at an enterprise level.
Solution Documentation: Delivering comprehensive architectural blueprints (LLD/HLD) that align business goals with technical feasibility.
Mentorship: Developing the technical roadmap for engineering teams and mentoring Lead Developers and Architects.
Job ID: 151501415
Skills:
Java, Apis, Data Architecture, system integration, Python, compliance in AI systems, streaming systems, security governance, CI CD for ML model monitoring, enterprise application architecture, data lakes, AI ML concepts, MLOps tools and practices
Skills:
cyber , solution architecture, Networking, MCSE, cloud, automation, AWS, CCIE, Application Development, Big Data, Application Architecture, Gcp, Data Center, Applications, Containers, Azure, Kubernetes, Cdp, Storage Networking, Cissp, cloud-native services, pre-sales engineering, Service Management, Ai, end user experience, Infrastructure, CCDE
Skills:
data engineering , data warehouses , Cloud Technologies, MLops, Data Governance, AWS, lakehouse patterns, enterprise data architecture, generative AI, data sovereignty, competitive platform migrations, regulatory compliance frameworks, data lakes, analytics solution design, model development lifecycle, AI ML technologies, streaming architectures
Skills:
data engineering , data warehouses , MLops, Data Governance, lakehouse patterns, generative AI, enterprise data architecture, data sovereignty, competitive platform migrations, AWS or cloud technologies, regulatory compliance frameworks, data lakes, analytics solution design, model development lifecycle, modern data platforms, AI ML technologies, streaming architectures
Skills:
Cloud Migration, Microservices, Aws Lambda, Togaf, Apis, GCP Cloud Functions, NIST SP 800-207, event-driven systems, CI CD, Zero Trust, edge compute, developer productivity, Cloudflare Workers
