Robots & Pencils

HQ
Cleveland
Total Offices: 4
149 Total Employees
Year Founded: 2009

Robots & Pencils Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers supplemental life insurance

Offers life insurance

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers generous parental leave

Offers performance bonuses

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Provides free snacks and drinks

Offers travel concierge services

2 Days AgoSaved
Remote
US
Information Technology • Design
Leads architecture and technical strategy for complex cloud, data, and AI/ML systems. Designs scalable multi-cloud infrastructure, data platforms, MLOps pipelines, model-serving systems, and LLM applications. Establishes infrastructure, DevOps, security, governance, and observability standards; leads migrations and modernization; optimizes performance, reliability, and cost. Serves as senior technical advisor to clients and leadership, mentors engineers, documents architecture, and owns high-stakes technical decisions.
3 Days AgoSaved
Remote
US
Information Technology • Design
Leads architecture and technical strategy for complex cloud, data, and AI/ML systems. Designs scalable multi-cloud platforms, data pipelines, MLOps infrastructure, LLM applications, and production AI systems while establishing DevOps, security, governance, and reliability standards. Partners with clients and leadership, mentors senior engineers, documents architecture, evaluates emerging technologies, and owns high-impact technical decisions. The role also leads cloud migrations and modernization initiatives.
9 Days AgoSaved
Remote
US
Information Technology • Design
Design, build, deploy, and maintain AWS-based data and AI/ML infrastructure for enterprise agentic AI platforms. Develop data lake pipelines, observability systems, agent-enablement tooling, and production MLOps/LLMOps capabilities. Own features end-to-end, contribute to architecture and design decisions, optimize reliability, scalability, security, and cost, and collaborate with AWS Professional Services, client teams, and junior engineers.