Senior Cloud Engineer

Harvard Medical School

Boston, MA

Job posting number: #7090414

Posted: December 9, 2021

Application Deadline: Open Until Filled

Job Description

Job-Specific Responsibilities

The Research Computing group in the Harvard Medical School Department of Information Technology is seeking a talented Senior Cloud Engineer with a strong background, and preferably certification in Amazon Web Services (AWS), focusing on managing environments that must meet federal security standards. The Senior Cloud Engineer will be responsible for supporting the HMS IT Secure Research Computing Environment (SRCE), a FISMA certified AWS cloud infrastructure environment, enabling the groundbreaking biomedical research of some of the world’s foremost scientific investigators.


Oversee operational activities of the SRCE – deployment, monitoring, reporting, patching, and compliance, in partnership with HMS architecture, devops and research computing teams
Utilize best-practice cloud security designs to ensure the confidentiality, integrity and availability of the secure environment
Manage a continuous integration and deployment methodology for AWS based technologies
Manage full application stacks from the OS through custom research applications using AWS
Provide high-level support on technical computing issues to end users and developers
Document complex technology, data protection, confidentiality, and data residency solutions
Play a key role in the planning, implementation, and growth of the SRCE
Drive continuous improvement of the SRCE through process, architecture, and cost-saving refinements

Typical Core Duties

Participate fully in planning, building, configuring and running RC systems at scale
Monitor and maintain the health and integrity of RC systems including upgrading and patching
Design and implement robust and secure IT solutions within a fast-paced research environment
Define and track performance metrics to ensure efficient current and future use of IT resources
Consult to and collaborate with researchers and other key IT (e.g. network and security) and Data Center partners in a timely manner
Build and maintain relationships with external vendor technicians and engineers
Collaborate with other systems engineers within the RC ecosystem
Contribute best practices documentation and knowledge transfer
Mentor junior staff
Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct

Basic Qualifications

Minimum of seven years’ post-secondary education or relevant work experience

Additional Qualifications and Skills

Broad knowledge of the deployment and management of RC systems (e.g. storage, cluster computing, network, database, virtualized systems)
Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
Specialized knowledge in a specific technology
Critical to this position is the ability to work independently and to make decisions at the appropriate time, taking into account the needs of the situation, priorities, constraints and the availability of necessary information all in support of the core research computing mission.
• A strong conceptual and practical understanding of cloud security controls, principles and best practices
• Experience and understanding of legal and regulatory standards (PCI, FedRAMP, CCPA, GDPR, etc.) as they pertain to a secure computing environment
• 2+ years of experience in healthcare systems and authorities operations (FISMA, FedRAMP) architecture/designs
• Experience with AWS technologies which may include IAM, EC2, EBS, ELB, RDS, RedShift, S3, Glacier, Route 53, Gateways, VPCs, CloudWatch, Lambda scripts, CloudFormation, VDI, Appstream 2.0, Control Tower, Service Catalog
• AWS Certified Solutions Architect Associate is a plus
• Experience supporting large-scale enterprise IT cloud projects
• Hands-on experience with distributed resource management and virtualization technologies
• Experience communicating technical issues to executive level audiences
• Experience with the following technologies is a plus:
Puppet / Foreman / Terraform
Containerization technologies: Docker, Singularity, Kubernetes, Amazon ECS
Open-source databases: MySQL/Mariadb, Postgres
Scripting languages, such as Bash and Python
GitHub and git workflows
AWS Service Work Bench
Qualys, Checkmarx

Harvard Medical School strives to cultivate an environment that promotes inclusiveness and collaboration among students, faculty and staff and to create new avenues for discussion that will advance our shared mission to improve the health of people throughout the world.

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