Job Description
- Strong knowledge of software development methodologies, including Agile and Scrum.
- Strong knowledge of software architecture principles and best practices, including microservice, APIs, and service-oriented architecture (SOA).
- Experience with cloud computing platforms, especially with Azure data plane and control plane.
- Strong knowledge of security principles and best practices, including authentication, authorization, and data encryption.
- Excellent communication, collaboration, and interpersonal skills, with the ability to work effectively with other members of the IT team, business stakeholders, and external partners.
- Strong leadership and mentorship skills, with the ability to provide technical leadership and mentorship to other members of the IT team.
- Hands-on experience with cloud platforms (preferably Azure , but also AWS or GCP.
- Azure infrastructure design and deployment using automation tools like Terraform and ARM template.
- Experience in designing and implementing ML platforms, cognitive APIs, container orchestration, serverless functions, API gateways, VMs, networking VPC, Azure RBAC, EntraID, App service plans ..etc.
- Experience with MLOps , CI / CD, model monitoring, and automation
- API integration and containerization (Docker, Kubernetes)
- Strong foundation in supervised / unsupervised learning, NLP, GenAI, and LLMs is a plus.
- Skilled in prompt engineering, model fine-tuning, and evaluation
- Building data pipelines and integrating structured / unstructured data
- Understanding of data governance and regulatory compliance (HIPAA, GDPR)
- Technical leadership across architecture and engineering teams
- Effective collaboration with cross-functional teams (product, data, DevOps)
- Strong communicator with experience presenting to technical and business stakeholders.
Requirements
Experience in software development, systems architecture, or a related field. 8-10+ years required2-3 years of AI in Cloud preferredBachelor's degree related field of study required or Master's preferred.Requirements
Bachelor’s degree in Finance, Accounting, Business, Information Technology, Computer Science, or a related field; advanced degree in a healthcare or research-related discipline is a plus.
3+ years in financial analysis, cloud cost management, or FinOps roles, with experience in a healthcare, academic, or research environment managing cloud costs for grant-funded or variable workloads. Advanced expertise in cloud platforms (e.g., AWS, Azure, Google Cloud), including designing cost allocation models, leveraging pricing options (SKUs, Savings Plans, Reserved Instances), and optimizing costs for research or data-intensive environments. Demonstrated success in leading FinOps initiatives, such as developing governance frameworks, automating cost reporting, or driving organization-wide cost-saving strategies. Experience creating and delivering training or educational programs on cloud financial management to technical and non-technical stakeholders, ideally in a research or academic setting. Proficiency in data visualization and reporting tools as well as cost management tools (e.g., Power BI, Tableau, AWS Cost Explorer, Azure Cost Management, Google Cloud Billing). Strong skills in Excel and data analysis; familiarity with scripting (e.g., Python, SQL) for automating reports is advantageous. Understanding of cloud infrastructure, services, and pricing models (SKUs, SPs, RIs, Pay-As-You-Go). FinOps Certified Practitioner, AWS Certified Cloud Practitioner, Azure Fundamentals, or equivalent; certifications in data analytics (e.g., Power BI Data Analyst) are preferred. Knowledge of research grant management and compliance in academic healthcare settings. Experience with Agile / DevOps methodologies and tools like Azure DevOps for tracking FinOps initiatives. Familiarity with healthcare-specific regulations (e.g., HIPAA) as they relate to cloud financial governance. Ability to navigate bureaucratic environments, facilitating collaboration across territorial departments. Knowledge of Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation). Experience with scripting languages (e.g., Python, SQL) for data analysis or automation.