Apply on Employer Site

Harvard Business School · 18 hours ago

DevOps Engineer, Generative AI Applications, HBS Foundry

Boston, MA

Full-time

Hybrid

Senior Level

5+ years exp

Harvard Business School is a prestigious institution dedicated to innovation and collaboration. The role involves leading the development of complex applications for the GenAI application platform, focusing on infrastructure management, CI/CD pipelines, and collaboration with various teams to ensure scalable and reliable AI services.

AlumniEducationHigher EducationUniversities

Growth Opportunities

No H1B

Responsibilities

Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents

Infrastructure Management: Design and manage cloud infrastructure (AWS) optimized for the intensive computational needs of AI and ML workloads

CI/CD Pipelines: Build and maintain continuous integration and continuous deployment (CI/CD) pipelines tailored for AI/ML models

Automation: Automating model training, testing, deployment, and monitoring processes

Scalability & Reliability: Ensuring that AI applications are scalable and highly available in production environments

Monitoring & Observability: Implementing systems to monitor model performance, data drift, logs, and uptime

Collaboration: Working closely with data scientists, ML engineers, and backend developers to ensure smooth and secure deployment of AI services

This role is responsible for other duties as assigned

Qualification

AWSDockerKubernetesTerraformPythonCI/CDMLOps ToolsCommunication SkillsTeam PlayerProblem Solving

Required

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

Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired

Minimum of five years Dev Ops experience with at least a year of ML Ops and Software Engineering Development background

Cloud Platforms: Proficiency in cloud services - Amazon Web Services (AWS)

Containerization & Orchestration: Expertise with Docker and Kubernetes for managing application environments

Infrastructure as Code (IaC): Experience with tools like Terraform or Ansible for automating infrastructure provisioning

Programming: Strong scripting skills, typically in Python or Go, for automation and building operational tools

MLOps Tools: Familiarity with MLOps platforms and tools (e.g., MLflow, Kubeflow, Data Version Control (DVC)) is often a plus

SRE Mindset: A focus on site reliability engineering principles to ensure robust production systems

Tech Skills: Terraform, GitHub actions, Quadrant, Vector Database, CI/CD, Python, Shell Scripting

Strong Communication Skills, Good Team Player, ability to wear multiple hats, fast learner, problem solving and go getter attitude

Preferred

Nice to have - Google Cloud Platform (GCP), or Microsoft Azure

Benefits

Generous paid time off including parental leave

Medical, dental, and vision health insurance coverage starting on day one

Retirement plans with university contributions

Wellbeing and mental health resources

Support for families and caregivers

Professional development opportunities including tuition assistance and reimbursement

Commuter benefits, discounts and campus perks

Company

Harvard Business School

Glassdoor4.4

Harvard Business School is an educational institution that offers two-year residential programs leading to an MBA, Ph.D., or DBA degree. It is a sub-organization of Harvard University.

Founded in 1908

Boston, Massachusetts, USA

1001-5000 employees