Senior Full Stack Developer

About The Company

We are Teknoir: Operational AI for the physical world. Our vision is to make the industries supplying the world’s most essential goods and utilities more reliable, safer, and environmentally sound. We accomplish this by upgrading the machines with intelligence to unlock invaluable insights nested deep inside operations, making heroes out of frontline workers and increasing business performance that can be celebrated across boardrooms.

We live at a time where we are inundated with technical jargon and buzzwords. New technologies are often shrouded in hype or fear. Legacy industrial automation hasn’t innovated in decades, and modern tech has yet to be as disruptive as we hoped or too costly and complex to implement. That ends now.

True digital transformation can be achieved faster, easier, and more affordably than ever before. We are filtering through the noise of generative AI, Machine Learning, Data Science, DevOps, IoT, and Edge Computing in order to solve the most difficult technological problems, so our customers don’t have to.

Synthesizing domain knowledge from our top industry experts with modern software and hardware development ensures we solve for the most important problems and allows us to deliver an unrivaled user experience with a beautiful design as simple and seamless as a smartphone.

We understand that organizations are the experts in their own operations. Our tools help them extract that expertise and enhance it with artificial intelligence, not replace it. Operators, maintenance technicians, and engineers are responsible for the production and keeping the lights on. We are just here to improve the machines that serve them. We are the ghost in the machine. We are Teknoir.

About The Role

Teknoir seeks a highly seasoned and technically adept Senior Full Stack Developer to join our dynamic team. The ideal candidate will be pivotal in architecting, designing, and implementing customer-facing AI/ML applications and backend SaaS platform services. The focus will be on innovative solutions for various use cases, including video surveillance, waste & recycling monitoring, retail theft detection, and industrial worker safety. This role demands an individual with extensive hands-on experience in full-stack development, a deep understanding of SaaS architecture, and a track record of successfully delivering complex, scalable, and highly available AI/ML and/or edge computing applications.

Resonsiblities

• Drive the end-to-end development of the SaaS application, from front-end interfaces to back-end services
• Implement responsive and intuitive user interfaces using modern frontend frameworks and libraries
• Develop scalable and efficient backend services that handle complex data and transactional processing
• Optimize application performance and responsiveness across various edge devices, peripherals, and network conditions
• Work closely with DevOps teams to establish and enhance CI/CD pipelines for efficient deployment and testing
• Implement infrastructure as code (IaC) practices to automate the provisioning and management of cloud and edge resources
• Provide guidance and mentorship to other developers, fostering a culture of continuous learning and improvement
• Collaborate with cross-functional teams to identify customer requirements, develop solutions, and ensure alignment with company objectives
  
  

• A minimum of 8 years of hands-on experience in developing and delivering SaaS applications
• Extensive experience in full stack development, with proficiency in frontend (JavaScript, Typescript, React, Vue, Angular, etc.) and backend (Golang, Node.js, Python, etc.) technologies
• Experience with edge computing architectural patterns, with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes)
• Deep understanding of SaaS architecture, microservices, and distributed systems
• Strong analytical and problem-solving skills, with a focus on delivering elegant solutions to complex challenges
• Demonstrated ability to innovate and bring new ideas to enhance platform functionality
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. This requires jumping quickly between deep, hands-on technical work and high-level discussions
• Excited to work in a fast-paced startup environment. Not afraid of ambiguity
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  
  

• Familiarity with industrial control systems and experience working with corresponding data
• Experience deploying AI/ML solutions to edge computing devices
• Experience in developing customer-facing AI/ML solutions.
• Experience in Cloud networking including Kubernetes, and Istio security and routing
• Clear passion for technology and the rapidly evolving field of AI/ML
  
  

• Successfully pass pre-employment screening
  
  

• Competitive salary
• Unlimited PTO
• Work from home
• Stock Options
• Professional growth, training, and development
• A dynamic and collaborative work environment