Cloud Infrastructure Architect
Health Care Service CorporationAbout the role
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Job Summary
The Healthspring Medicare Technology Operations organization is looking for experienced, innovative and skilled Cloud Infrastructure Architect.The Cloud Infrastructure Architect will play a key role in delivering scalable and reliable cloud-based solutions. Working closely with diverse teams, you will play a key role in every aspect of cloud architecture, from planning and design to deployment and optimization, ensuring our cloud projects are innovative and deliver value in the ever-changing landscape of cloud technology.
Required Job Qualifications:
Bachelor’s degree in network engineering, Computer Science, or a related discipline.
Minimum 10 years of relevant work experience.
Proven track record of technical leadership
Possess a solid understanding of foundational machine learning concepts and algorithms and have extensive experience deploying production-grade machine learning solutions
Possess extensive experience in at least one cloud platform (e.g., AWS, GCP, Azure) and be well-versed in associated machine learning services, such as Amazon SageMaker, Azure ML, and Databricks
Work with the infrastructure and cloud provisioning teams to implement Azure cloud infrastructure solutions using Infrastructure as Code (IaC) principles and tools
Offer technical leadership on high-impact projects, ensuring they meet quality standards and are aligned with the organization's objectives.
Lead the development, deployment and management ML models into production, ensuring seamless integration with existing systems and monitoring model performance.
Influence and coach a distributed team of engineers and facilitate alignment and clarity across teams on goals,
Excellent communication and technical presentation skills
Able to think strategically and tactically and to build consensus to make programs successful.
Hands-on experience of 4 - 6 yrs with Python, Django, FastAPI
Experience of 2-4 yrs in deploying infrastructure as code tools e.g. Azure Bicep or Terraform
Hands-on experience in one or several of the following areas: Machine Learning, Data Engineering, DevOps and MLOps
Experience with Azure DevOps for CI/CD, unit testing, and AGILE development
Exposure working with ML teams and deploying models in domains eg. convex optimization, statistical models, time-series models, and Reinforcement Learning/DRL
Experience developing and deploying monitoring tools e.g. Elastic search, Grafana
Preferred Job Qualifications:
Post-graduate qualifications in Computer Science, Data Engineering or professional qualifications in Advanced Data Design, Big Data.
Extensive experience with Azure ML tools and services.
Experience in implementing Generative AI solutions.
Proven experience designing and managing cloud infrastructure for enterprise applications.
Expertise in cloud platforms such as AW
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