JOB DESCRIPTION

JOB SUMMARY

The cloud analytics infrastructure engineer role is pivotal in helping the data & analytics and AI/ML teams adopt and optimize cloud infrastructure and platform services and manage analytics solutions, focusing on tasks like design, implementation, and automation of cloud management. This role is integral in advancing infrastructure-as-code (IaC), DevOps, and Agile methodologies, emphasizing a robust understanding of networking and security within the cloud. They work closely with cloud architects, software developers, and other specialists, and play a key role in multi-team infrastructure platforms. Their responsibilities also include addressing complex operational issues related to deployment, incident management, and service continuity. Essential traits for a cloud infrastructure engineer include strong attention to detail, customer focus, curiosity, and effective communication and collaboration skills.

Job Responsibilities

Description

• Administer a HIPAA compliant landing zone on AWS, serving as the primary owner of all data, analytics, and AI/ML workloads

• Administer a Tableau server deployment in the AWS landing zone, including patching, upgrades, and performance monitoring.

• Provide expert knowledge on cloud infrastructure to ensure successful cloud adoption, translating strategies into secure and efficient implementations while leading in areas like AI/ML and analytics.

• Support the design and development of new cloud solutions, assisting architects with everything from requirement analysis to implementation, and ensure readiness for ongoing support.

• Manage cloud migration projects, developing and executing migration strategies, and designing infrastructure solutions that include automation tactics like Infrastructure as Code (IaC) and continuous integration/delivery (CI/CD).

• Research and prototype new technologies to enhance cloud capabilities, proactively finding ways to automate and reduce operational toil, and mentoring others to optimize cloud outcomes.

• Enhance cloud infrastructure reliability, scalability, and efficiency by collaborating with engineers and ensuring compliance with nonfunctional requirements like data protection and disaster recovery.

• Lead and participate in knowledge-sharing activities, contributing to communities of practice and organizational learning to elevate cloud engineering skills across the organization.

• Collaborate extensively with security teams, third-party suppliers, and other organizational peers to design and optimize cloud solutions across single, multi-cloud, and hybrid environments, ensuring security and compliance standards are met.

Education

Description

Required:

A bachelor's degree in data science, computer science, management information systems, statistics, or related field or equivalent work experience

Preferred:

master's degree in data science, computer science, management information systems, statistics, or related field

Experience

Description

Required:

• Five years of experience in software engineering, AI engineering, Information Technology, or similar field

Skills/Cert/Licenses

Description

Required

• AWS certifications.

• Collaborate with IT teams to plan, design, implement, and manage cloud-based workloads, focusing on operational and problem-solving aspects.

• Expertise engaging with infrastructure and application support teams with a strong background in cloud migration projects and securing cloud platforms in conjunction with security teams.

• Experienced in DevOps/DevSecOps practices, Agile methodologies like Scrum and Kanban, and proposing new standards based on feedback, and skilled in using DevOps tooling such as CI/CD platforms, and infrastructure-as-code technologies..

• Solid understanding of software engineering principles including source control, versioning, and code reviews, especially in HIPAA-compliant environments.

• Expertise implementing highly available systems across multiple availability zones and regions.

• Proficient with AWS and familiar with Azure;

• Knowledgeable in container management (Docker, Kubernetes), operating systems (Windows, Linux), and database technologies.

• Experienced in identity management (Active Directory/Azure AD), cloud monitoring (AWS CloudWatch), and cloud networking concepts.

• Strong in cloud security, including key management and encryption, and cloud spending analysis for resource optimization.

• Demonstrates strong communication, collaboration, analytical skills, and a continuous learning mindset, with a focus on mentoring and knowledge sharing in cloud environments.