CADDi is a global supply chain company on a mission to "unleash the potential of manufacturing".
The company strives to transform the manufacturing industry through its primary offering "CADDi Manufacturing", a one-stop service for procurement and manufacturing that utilizes original technologies to optimize quality, cost, and delivery within its supply chain infrastructure.
In mid-2022, CADDi launched "CADDi Drawer," a cloud-based data utilization system to further digital transformation in the manufacturing industry.

CADDi

full-stack-engineer

CADDi is a company that aims to revolutionize the manufacturing industry by providing AI-driven data platforms. Their main products are CADDi Drawer and CADDi Quote. CADDi Drawer automates the parsing of 2D drawings into structured data, improving the efficiency of procurement processes by lowering costs and freeing employees from unproductive tasks. CADDi Quote uses AI-based analysis to automate supplier selection and optimize quotation processes, enhancing efficiency and cost-effectiveness in supply chain management. CADDi aims to unleash the potential of the manufacturing industry by changing the conventional systems to enable creativity and value generation for all manufacturing companies, from small factories to major manufacturers and startups.

CADDi is a global supply chain company on a mission to "unleash the potential of manufacturing". The company strives to transform the manufacturing industry through its primary offering "CADDi Manufacturing", a one-stop service for procurement and manufacturing that utilizes original technologies to optimize quality, cost, and delivery within its supply chain infrastructure. In mid-2022, CADDi launched "CADDi Drawer," a cloud-based data utilization system to further digital transformation in the manufacturing industry.

**Role Overview**

We are looking for a **Sr Fullstack Engineer** to drive the development of the **CADDi SaaS Platform**. In this role, you will build and scale a high-performance web application that handles complex business logic and user interactions. You will work across the full stack, from designing DB, APIs with domain-driven design principles to optimizing frontend performance, using modern web technologies and architectural patterns.

**What You Will Do (Key Responsibilities)**

- End-to-end design, develop & maintenance CADDi SaaS product, ensuring high availability and low latency.
- Work with modern TypeScript stack (NestJS, Next.js…) in a complex web application.
- Build and maintain GraphQL APIs following domain-driven design principles and schema-first approach.
- Collaborate with cross-functional international teams to validate, implement & delivery features.
- Participate in code reviews and maintain high code quality standards.
- Hand-ons in product operation such as on-call, incident response & troubleshooting.
- Write high-quality technical documentation (eg. ADR, Design Docs, Runbook) and actively participate in architectural decisions.


Senior Fullstack Engineer

Sr Fullstack Engineer responsible for developing CADDi SaaS Platform. Design DB, APIs, optimize performance with modern technologies.

machine-learning-engineer

• Build API and batch execution environments for running machine learning model inference, as well as deployment environments using CI/CD.
• Implement monitoring, performance tuning, and other improvements to enhance site reliability in production environments.
• Optimize the cost of inference and training platforms.
• Create the deployment and operation processes based on input from the modeling and platform teams.
• Actively experiment with new ML, MLOps, and infrastructure tools, quickly validating ideas through proof-of-concepts and applying what works to real company products.
• Besides the team we are recruiting for this time, you may be assigned to other teams depending on your experience and preferences. (In that case, we would be happy to discuss this with you at the interview.)
• After joining the company, your role may change due to organizational growth or an individual's career perspective.

MLOps Specialist

Platform Engineer developing API and CI/CD environments for machine learning at CADDi, improving developer productivity and system reliability.

sales

• Pre-Sales activity as a team:

• Work closely with Field Sales member and provide trial or demo experience to enhance sales activities
• Analyze customer pain point and consider and introduce potential use case to solve their problem

• Account Management:

• Build and maintain strong, long-lasting relationships with key customer accounts.
• Understand customers' unique needs and challenges, and work to align our solutions with their goal.

• Customer Engagement:

• Proactively engage with customers to gather feedback, address concerns, and identify opportunities for improvement.
• Organize regular check-ins and reviews to assess customer satisfaction and product performance.

• Product Knowledge:

• Develop an in-depth understanding of our manufacturing products and services.
• Stay updated on industry trends and best practices to provide valuable insights to customers.

• Partnerships and Alliances:

• Identify strategic partnerships and alliances that can enhance our market presence and customer acquisition efforts.

• Reporting and Documentation:

• Maintain detailed records of customer interactions and feedback.
• Provide regular reports and updates to leadership on customer success efforts and outcomes.

• Other general project management

• Set and execute team goals and metrics (KGI/KPI)
• Coordinate department projects to meet deadlines
• Research and discover methods to increase customer engagement
• Build an open-communication environment for your team
• Monitor progress and submit performance reports

Pre-Sales Solution Consultant

Experienced Pre-Sales Solution Consultant for B2B SaaS product, driving customer satisfaction and retention in the manufacturing sector. Join us in transforming the manufacturing supply chain.

devops-engineer

• Design, implement, and operate highly available, scalable, and fault-tolerant infrastructure primarily on GCP, but to include multi-cloud deployments. Optimize system performance, manage disaster recovery, and ensure cost-effectiveness.
• Lead Terraform-based infrastructure development with security best practices, encrypted state management, and governance tools.
• Build robust pipelines supporting hundreds of developers and AI engineers. Integrate automated security testing, vulnerability scanning, and compliance checks throughout the development lifecycle.
• Implement comprehensive observability strategies using Prometheus, Grafana, and ELK. Define SLOs/SLIs, manage error budgets, and lead incident response with blameless post-mortems.
• Navigate complex regulatory requirements for U.S. Aerospace and Defense Industrial Base. Collaborate with security and legal teams on expanding compliance standards.
• Reduce operational toil through Python, Go, or Bash automation. Work in a follow-the-sun model with global teams while taking primary responsibility for US platform partition incidents and operations.

Site Reliability Engineer

Site Reliability Engineer responsible for infrastructure supporting AI platform. Safeguarding US customer data and ensuring compliance in the Aerospace and Defense sector.

CADDi

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4 jobs found

Senior Fullstack Engineer

CADDi

MLOps Specialist

CADDi

Pre-Sales Solution Consultant

CADDi

Site Reliability Engineer

CADDi