Full Stack Platform Engineer

Company Description Our client is a fast-growing startup! They help enhance team performance and improve customer experience. The team is made up of passionate leaders dedicated to blending RPA with the cognitive power of AI, enabling businesses to automate complex processes with precision, efficiency, and ethical integration of cutting-edge technology into human workflows.

What company do Optimize workflows + Personalized delivery: companies can deploy workflows without an RPA developer.

We offer an easy-to-use API that can take triggered events, generate actions, and create workflows autonomously through a no-code system. Role Description This is a role for a Full Stack Platform Engineer at our client. In this role, you’ll be responsible for designing and developing robust, scalable, and efficient software that powers our client’s cloud-based AI platform framework.

You’ll work closely with cross-functional teams to deliver a highly available and secure platform. Additionally, you will continuously improve the platform in terms of functionality, performance, and reliability, and work with the team to evaluate new technologies that help optimize the system.

Qualifications The Full Stack Platform Engineer should possess the following

qualifications: - Experience in building cloud-native architecture, containerization experience with Docker, Kubernetes, or relevant technologies. - Experience with SVG programming. - Experience with any front-end frameworks such as React Native, Angular, or Flask. - Strong backend experience with Python, Kafka, Spark. - Experience with database technology like PostgreSQL or NoSQL. - Experience working with AWS services such as EC2, S3, RDS, Lambda, and API Gateway. - Expertise in technical operations and complex deployments. - Experience with developing and integrating REST APIs. - Excellent communication, problem-solving, and troubleshooting skills. - Bachelor’s or master’s degree in computer science, Engineering, or a relevant field.

Role type: Full-time – Remote