
51 - 200 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 Venture Round on 2022-04
Artificial Intelligence • B2B • SaaS
Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.
🔥 2 hours ago
🇺🇸 United States – Remote
💵 $109k - $150k / year
⏰ Full Time
🔴 Lead
🏗️ Platform Engineer
👻 Ghost score 2%
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51 - 200 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 Venture Round on 2022-04
Artificial Intelligence • B2B • SaaS
Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.
• Lead design and implementation of CI/CD pipelines end-to-end, driving quality and reliability across delivery workflows • Architect and implement cloud-native infrastructure solutions for scalability, resilience, and cost efficiency • Design and manage Kubernetes clusters and containerized workloads at scale • Implement and own infrastructure as code across environments • Drive observability, performance optimization, and alerting across production systems • Implement DevSecOps practices including security scanning, secrets management, and access control • Lead production incident response, root cause analysis, and post-mortems • Design and operate AI/ML platform infrastructure, including model serving and deployment, GPU workload orchestration, LLM gateway and observability, vector store infrastructure, and CI/CD for AI/ML systems • Use tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace • Collaborate with engineering, QA, and product teams across the full SDLC to align infrastructure with delivery goals • Communicate technical tradeoffs and infrastructure decisions across functions • Participate in design reviews, sprint ceremonies, and release planning • Lead platform work end-to-end with growing ownership of infrastructure strategy • Contribute to platform standards and best practices that improve reliability and consistency • Begin mentoring junior engineers, sharing knowledge and supporting their growth
• 5–7 years of professional DevOps or platform engineering experience with growing ownership of infrastructure • Strong scripting and programming skills (e.g., Python, Go, Bash) • Hands-on cloud expertise across at least one major platform with multi-service understanding • Strong Kubernetes and container orchestration experience • Strong infrastructure as code expertise • Strong CI/CD pipeline design and ownership experience • Experience with observability stacks • Experience with networking, security, and IAM in cloud environments • Familiarity with microservices and distributed systems architecture • Experience with AI/ML platform infrastructure, including model serving and deployment, GPU workload orchestration, LLM gateway and observability, vector store infrastructure, and CI/CD for AI/ML systems • Demonstrable, day-to-day usage of AI-forward tools such as Claude and Cursor • Strong problem-solving skills and the ability to navigate ambiguous technical challenges with sound judgment • Deep hands-on experience with Amazon EKS and the ability to design, build, and maintain reusable AWS CDK constructs • Successful completion of a background check may be required • Experience with service mesh, multi-cloud or hybrid environments, or a cloud certification is a plus
• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k)
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