REQUIRED QUALIFICATIONS:

• Bachelor’s degree in computer science, Engineering, or a related field.
• Understanding of IRR/NIIS/FTP and ALM business.
• Prior experience of implementing QRM on Azure or other public cloud
• Proficiency with using services in Azure.
• Solid understanding of data and analytics principles and methodologies.
• Experience architecting solutions on top of foundational cloud services (networking, security, account/organizations, logging & monitoring, identity access management, etc.).
• Familiarity with DevOps practices and tools.
• Experience in software development using languages such as Java, Python, C++,
• Experience in large-scale migration of application workloads from on-prem or collocated data centers to a cloud platform.
• Experience working with Azure, and private cloud compute, storage, micro-service applications, platform serverless frameworks, API gateway, CI/CD, and cloud-based services.
• Experience implementing cloud controls, security, monitoring technologies, as well as hands-on experience instrumenting alerts based on aggregated logs and analytics output and audit services.
• Experience with infrastructure as code using tools such as Terraform or Cloud Formation.
• Experience developing DevOps, Site Reliability, and Solutions Architecture methodologies and practices

• Design and architect robust solutions – proof of completing complex architectures
• Strong communications / presentation skills. Strong collaboration skills and able to demonstrate a pragmatic approach
• Collaborate with project managers and infrastructure, cloud and network architects to accurately deliver architecture projects on time and within budget
• Assess and develop current architecture and readiness for implementation, introducing new solutions and modernization strategies for the platforms.
• Develop detailed-level design requirements for architecture implementation of QRM, optimizing QRM platform and integration strategies for cost-effective delivery of scalable and reliable distributed systems.
• Create delivery guides, assessments, and common architecture patterns for cloud architecture projects
• Implement best practices for backup and recovery techniques for applications Azure and private cloud focusing on continuous deployment, cloud security, governance, configuration management, and continuous integration.
• Design systems integrations, ingestion patterns, target and transition architectures, and roadmaps.
• Resolve Total Cost of Ownership (TCO) and Return on Investment (ROI) for the data platform and data products.
• Collaborate with cross-functional teams to implement scalable and efficient solutions.
• Drive the adoption of DevOps best practices to streamline data pipeline implementation and maintenance.
• Provide expertise in API integration and data governance for smooth data flows across systems.
• Guide project team members, fostering a culture of learning and growth.
• Experience in implementing QRM on Azure (or other CSP) is required
• An understanding of valuation and risk measures. An understanding of data dimensionality for different risk measures in QRM
• Experience in building reporting solutions in QRM
• Sandbox capabilities in QRM
• Deep understanding of QRM internal components and services, their interdependencies
• Experience with defining architecture requirements for public cloud infrastructure to run QRM in the most optimal way
• Provide input to stand up center of excellence to operate QRM solution.