Senior Cloud Engineer

Solutions

This role involves developing the architecture and providing guidance to development teams around the implementation of services and best practices for hybrid and multi-cloud deployments.

Requirements

• Minimum 10 years’ experience in cloud architecture, design, and management of cloud-based solutions and services.
• Experience with large-scale cloud migration initiatives, including Azure to AWS transitions.
• Ability to gather and translate business and technical requirements into scalable cloud solutions.
• Proficiency in infrastructure architecture, including secure environment design and disaster recovery planning.
• Knowledge of continuous integration and continuous delivery (CI/CD) practices and tools.
• Experience with pipeline orchestration and end-to-end data workflow management across environments.
• Familiarity with platform modernization, environment setup, and migration coordination.
• Strong understanding of system integration and interoperability, particularly within healthcare platforms.
• Knowledge of healthcare data standards such as HL7 and FHIR, and data exchange patterns.
• Experience with API-based integrations, file-based ingestion, and secure data transfer mechanisms.
• Understanding of data pipeline frameworks, including Bronze, Silver, and Gold data layers.
• Exposure to identity and access management (IAM), security controls, and role-based access models.
• Experience with validation, reconciliation, and data quality assurance processes during migrations.
• Ability to evaluate new technologies and ensure alignment with enterprise architecture.
• Strong documentation skills for technical standards, procedures, and system configurations.
• Excellent collaboration skills with cross-functional teams including developers, analysts, and stakeholders.
• Strong analytical, problem-solving, and communication skills.
• Commitment to continuous learning and staying current with emerging cloud technologies and trends.
• Strong expertise in leveraging data to inform decision making by utilizing spatial data, data mining, artificial intelligence, and machine learning techniques.
• Experience with developing data-driven solutions to improve decision making while effectively communicating findings, interpreting complex data and guiding operating departments.
• Experience with preparing graphic and spatial presentations of data (e.g., charts, graphs, matrices, and maps), presenting information with organized facts and statistics to provide insight.
• Comprehensive knowledge of: Applicable computer software packages.
• Cloud computing platforms such as Azure, AWS.
• Cloud-based data warehousing platforms such as Snowflake.
• Service models such as SaaS, Iaas, PaaS.
• IT architecture and design methodologies.
• IT concepts, principles, methods, and practices in the assigned specialty area.
• Requirement analysis principles and methods.
• Systems testing and evaluation principles, methods, and tools.
• Methods, practices, and procedures for analyzing and resolving computer-related problems.
• Methods and techniques of analysis and design.
• Data mining processes and tools.
• Principles and techniques of inductive and deductive reasoning.
• Cloud Certifications