Full Time Internship
Full Stack Developer
Ailytics is an AI powered solution provider that helps enterprises create a safe and productive workspace to minimize risk and improve productivity across all of their facility footprints. The global industrial workplaces are known to be dangerous and less productive, with fatalities happening every 10 minutes and 35% of the time being spent on non-productive activities.
Using the latest breakthroughs in AI, we empower the workplace to have 24/7 monitoring of their operations, receive real-time violation notification and optimise their operational bottlenecks, resulting in up to 25% reduction of human and economic cost of workspaces.
We are seeking a full stack developer with an entrepreneurial spirit to take a key position building meaningful dashboards and scalable backend systems that connects to our AI to deliver key insights to our end users.
Full stack software engineering in construction or industrial sectors but not a hard requirement
Bachelors, Masters or PhD in Computer Science, Electrical Engineering or related fields, or equivalent experience.
Experience with entire SDLC, including knowledge of algorithms and data structures.
Exposure to architectural patterns of high-scale web applications on cloud. (e.g. well-designed APIs, high volume data pipelines, message queues, distributed caching, efficient algorithms).
Familiar with container-based applications and orchestration tools (Docker and Kubernetes) for coding and debugging.
Experience with writing unit & integration tests, monitoring code coverage etc.
Experience delivering a high-quality product as an individual (or open-source) contributor as part of a high-performing team in a fast-paced, continuously changing environment.
DevOps mindset for monitoring and deploying code with versioning tools and CI/CD.
Ability to drive and lead projects and work both independently and in a team.
Excellent verbal and written communication skills with “can do” attitude seeking to make a difference. Must be willing to work with an internationally distributed team.
Python, ReactJS, Typescript for programming languages.
Experience working with web frameworks (Django, Flask)
Databases (PostgreSQL for RDBMS, MongoDB for NoSQL)
Docker, Kubernetes for orchestration tools.
Amazon Web Services (AWS) for cloud services.
Experience with message queuing (Kafka or RabbitMQ)
Git for version control.