Senior Cloud Engineer

Job Location – Chicago, IL Type - Contract to Hire Pay Rate – $70.00 Per Hour (W2 Only) Summary Seeking a highly qualified and motivated Senior Cloud Engineer with a special focus on multi-cloud/Hybrid architectures review and deployments. This role will involve working with in‑house cloud engineers, network team, systems teams, and delivery management teams. The team focuses on hybrid and multiple public cloud services from Azure, AWS & GCP, developing architecture and providing guidance to development teams around implementation of services and best practices for hybrid and multi‑cloud deployments. Responsibilities Solution a multi‑cloud, hybrid cloud architecture that includes a combination of Private Cloud, multi‑cloud service provider, and multiple public clouds (e.g., AWS, Azure, GCP) Work with client and customer engineers to deliver three Proofs of Concept using the designed infrastructure Update the infrastructure design based on PoC design, delivery, and outcomes Work with Sales and Solutions team to create a billing process Provide domain‑specific expertise and overall software systems leadership and perspective to cross‑organization projects, programs, and activities Drive innovation and integration of new technologies into projects and activities in the software systems design organization Provide guidance and mentoring to less‑experienced staff members 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. Proficiency in extracting information from structured, semi‑structured, and unstructured data using statistical methods and algorithms that find patterns and relationships in large volumes of data. 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 #J-18808-Ljbffr