CloudBees · 3 days ago
Engineering Leader – AI & Machine Learning Operations (AIOps)
United States
Full-time
Remote
Senior Level
$210K/yr - $250K/yr
7+ years expCloudBees enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work. The Engineering Leader will drive the AIOps strategy, lead the development of the CloudBees AI platform, and manage a team focused on building reliable AI & ML infrastructure.
Business DevelopmentCloud ComputingCloud Data ServicesDeliveryDevOpsSaaS
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
Qualification
Required
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
Preferred
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
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Short & Long Term Disability
Life Insurance
HSA/FSA
Remote Work Environment
Flexible Time Off
Paid Company Holidays
Parental Leave
Variable Bonus Plan dependent on your role
Stock grant opportunities dependent on your role
401(k) with Company Match
Company
CloudBees
CloudBees enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work.
501-1000 employees
H1B Sponsorship
CloudBees has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2023 (1)
2022 (3)
Funding
Current Stage
Late StageTotal Funding
$356.2MKey Investors
Goldman Sachs Asset ManagementDelta-v CapitalGolub Capital
2021-12-09Series F· $150M
2021-12-09Debt Financing· $95M
2018-06-27Series E· $37M
Leadership Team
Eyal Keren
Director Of Engineering
Richa Gupta
Chief Human Resources Officer
Recent News
2026-01-03
DevOps.com
2025-07-29
Research and Markets
2025-07-25
Company data provided by crunchbase