Job Description

factorie.io is a digital manufacturing enterprise, connecting disparate data sources to align manufacturing activities in real time, substantially impacting manufacturing throughput. 

Operating in an inherently data-rich environment – we seek to be the source of real time intelligence for manufacturing operations by processing and elevating data from machines, ERP and other IT applications. 

The company is currently being led by four co-founders with a cumulative management, technology and manufacturing experience of more than 100 years. In place is a dedicated strategic consulting for manufacturers to transition to digital enterprise, ISV partners and pilot clients. As we work towards empowering manufacturers at scale, we are looking for a high caliber IIoT / embedded systems engineer to lead data acquisition from machines. This is a leadership position and you'll be a Co-founder of the Company. All Co-founders are compensated from founders' equity in the Company – and, cash compensation will commence only after completing 12 months association as Co-founder.

Nurtured as a product-based technology company, our Co-founder would be someone who considers himself to be a methodical hacker – energized by simply the process of building products that solve meaningful problems. You have a bias for action, taking consistent, incremental and measurable steps towards releases that serve the product’s immediate and long-term needs.

If that person is you, we look forward to experimenting and tinkering with the next generation of IoT and data analytics use cases – together. 

ASK YOURSELF IF YOU ARE: 

Entrepreneurial? Someone who believes it is their time to shine and is tired of operating in a manager's shadow. Have you started-up before – or, even thought about doing so? Tell us your story. 

A hands-on craftsman? Someone who loves to build, understands the architecture of complex software applications and frameworks. Do you contribute to opensource projects and / or have you developed / are you developing certain ‘hobby’ applications? We would love to know about them. Do you have an engineering blog we should be following? We are NOT accepting managers for this position, please. 

Disciplined, passionate and obsessive? Someone who needs to solve REAL problems that have potential network implications on how products are manufactured in the world today – democratizing the hitherto ‘privileged’ power of Industry 4.0.

THE SKILLS YOU NEED / TECHNOLOGIES WE’RE WORKING ON,

CORE:

• Experience of data acquisition, extraction and normalization from PLCs and sensors with open protocols (OPC-UA, Modbus and MTConnect) + proprietary connectors (for Siemens Sinumerik, Fanuc and Mitsubishi)

• Comfortable building the Edge hardware and software infrastructure - IoT Gateways, IoT Servers installed on Linux or Android (Yocto) forks

• Exposure to low latency connectivity architecture using a combination of Wireless (Cellular, Wi-Fi, Bluetooth, and NFC), and wired (Ethernet) interfaces. Consequently, necessary is an understanding of Profinet and MQTT communication standards.

• In depth knowledge of the architecture of smart manufacturing software components - SCADA, Historian, MES etc.

• Have leveraged a cross-section database types - RDS (Postgres) and / or NoSQL (MongoDB, DynamoDB)

• A fanatical level of thoroughness with the OOP such as C++, JAVA (Spring) as well as the more recent Node.js, Go 

FUNDAMENTALS:

• Strong CS fundamentals. Deep knowledge of math, probability, statistics and algorithms. Delivering full-stack projects from conceptualization to production. Iterating, developing and testing MVPs quickly - therefore identifying opportunities to automate the development cycle to the maximum feasible extent.

• Extensive experience of leveraging (opensource) libraries / solutions, frameworks, APIs, AWS IIoT (or similar) etc., to drive efficiencies in product development. We’re NOT planning to reinvent the wheel.

• Familiarity with deploying and developing in a microservices architecture. i.e., deploying on a containerized (Kubernetes, Docker, ECS, EKS etc.) stack that communicates via REST APIs. Developing while religiously following the CI / CD methodology.

• Trade tools such as PLC simulators, IoT device / sensor simulators, Cucumber, Selenium, GIT, IDEs (ex., Eclipse), JIRA etc., would be almost second nature