Senior Architect
Job Description
Key Responsibilities:
- Design and implement mainframe migration strategies leveraging AWS Blu Age
- Assess existing mainframe environments and create migration roadmaps
- Work closely with development and operations teams to ensure seamless migration
- Optimize performance, security, and scalability of AWS-based solutions
- Provide guidance on best practices for modernizing legacy systems
Skills and Qualifications: Education: Bachelors or Masters degree in Computer Science, IT, or related field
Experience: 8+ years of experience in IT architecture with at least 3 years in mainframe migration projects
Technical Skills:
- Deep understanding of mainframe applications and modernization techniques
- Expertise in AWS services, especially Blu Age, Lambda, and EC2
- Experience with cloud-native architectures and containerization
- Certifications: AWS Certified Solution Architect Professional (preferred)
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Key Skills
About Company
Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data analytics, digital experiences, cloud infrastructure, and security. Our quot;IP Led Transformationsquot; approach, informed by insights from a recent global study spanning 20+ industries and 5000+ companies, addresses challenges posed by the rapid pace of AI-driven transformation, digital talent scarcity, and economic uncertainty
Skills:
Paas, Saas, PowerShell, Iaas, Bash, Ubuntu, Rest Api, Cloud Architecture, Git, Windows Desktop, Shell, Terraform, Ansible, Openshift, Rhel, Kubernetes architectures, AKS, Azure DevOps Pipelines, OKE, Packer, GitLab CI, Public cloud services
Skills:
bedrock , Togaf, Enterprise Architecture, Generative AI, Agentic AI, zachman, AWS SageMaker, Foundry, Google Vertex AI, Azure AI Studio, AI governance models, compliance frameworks
Skills:
AI ML, Deep Learning, Nosql, Neural Network, Devops, Nlp, RDBMS, Microsoft Technologies, Computer Vision, IoT technologies, Security Architecture, Disaster Recovery, Architectural patterns for High Availability, Performance Scale Out architecture, Pre-sales technology evaluation, CI CD, Microservices orchestration, Cloud-based architectures deployment, Software deployment strategy, API driven architecture, Technical design and architecture
Skills:
data engineering , Data Analytics, Aws Services, Data Processing, Data quality assessments, Cloud data warehouses, data infrastructure, Data lakes, data models, Master data management
Skills:
AWS, Java, Data Architecture, Spring, Microservices, Azure, SDK of packaged applications, Cloud-based software systems, Analytics pipelines, Legacy applications, Visualization frameworks, Scalable data solutions, DevOps operating model