Engineering Leader â AI & Machine Learning Operations (AIOps)
Engineering Leader â AI & Machine Learning Operations (AIOps)
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Job Description
About CloudBees
CloudBees is the leading software delivery platform for modern enterprises enabling companies to continuously innovate at scale. As a startup operating in the DevOps space we empower developers and teams to build test and deploy software faster and more reliably. Our mission is to simplify complexity and help organizations deliver better software faster.
The Role
CloudBees is seeking a visionary and hands-on Engineering Leader to drive our Agentic & AI Operations (AIOps) strategy. Lead the development of the Cloudbees AI platform designed to support the fine-tuning deployment and management of AI ML and Agentic Services; Guiding the strategic direction of the engineering team with a primary focus on platform reliability scalability and maintainability. Build and oversee robust systems that empower our customers to optimize and personalize AI and Agents to their specific needs. You will lead a growing team of engineers focused on building reliable scalable AI & ML infrastructure and pipelines that power intelligent features across our platform.
Were looking for someone with startup experience a passion for AI & ML tooling and deep understanding of operationalizing AI/ML workflows. Youll partner closely with data scientists product managers and platform engineers to transform AI ideas into production-grade secure and efficient systems.
As the founding Engineering leader of AI Foundations team this is a high-impact role that sits at the intersection of artificial intelligence and software delivery ideal for someone passionate about pushing the boundaries of developer productivity and intelligent automation.
Key Responsibilities
- Lead and scale a team responsible for AIOps including model deployment monitoring and lifecycle management.
- Architect and implement AI/ML pipelines that are scalable observable and reproducible.
- Collaborate with cross-functional teams (data science DevOps product) to integrate AI/ML systems into our SaaS platform.
- Establish best practices for AI/ML experimentation CI/CD for models data versioning and model governance.
- Own the full stack of AIOps infrastructure from data ingestion to real-time inference systems.
- Drive technical vision and roadmap for ML platform development.
- Act as a mentor and coach helping engineers grow in a fast-paced startup environment.
- Manage a team of 5
- Ability to launch new platforms 0 - 1 and drive adoption internally and externally with partner teams.
Qualifications
Must-Haves:
- 7 years of engineering experience including platform engineering system development or related roles with at least 3 years in leadership roles.
- 3 years of experience with large-scale systems with a focus on reliability scalability and maintainability; and 1 year of experience with AI/ML systems
- Strong hands-on experience with MLOps tools (e.g. MLflow Kubeflow SageMaker Airflow Metaflow).
- Proven track record building ML pipelines in production environments.
- Experience with cloud infrastructure (AWS GCP or Azure) and container orchestration (Kubernetes).
- Deep knowledge of CI/CD practices as they relate to ML lifecycle.
- Prior experience in a startup or fast-paced SaaS environment.
- Strong collaboration and communication skills.
- Experience deploying and managing services such as Amazon bedrock or Vertex AI - LLm
Nice-to-Haves:
- Experience integrating ML capabilities into developer-centric tools or platforms.
- Familiarity with data observability and ML monitoring tools (e.g. EvidentlyAI Prometheus/Grafana for models).
- Knowledge of data privacy compliance and security in ML systems.
Why Join CloudBees
- Work at the forefront of DevOps innovation and shape how ML supports developer productivity.
- Join a high-impact mission-driven startup backed by top investors.
- A flexible remote work culture with global teammates.
- Competitive compensation stock options and benefits.
CloudBees is proud to be an Equal Opportunity Employer. We embrace diversity and are committed to creating an inclusive environment for all employees.
Employment Type
Full Time
