THE ROLE
We are building a cloud-native platform with AI as the baseline. AI is not a feature layer. It defines how systems are designed, how data is structured, and how engineers think before building. AI in the product starts from system design and data modeling.
Engineers here are builders who own end-to-end delivery. You think about data schema, scale, and distributed systems before using AI tools. You own what you build including development, testing, release, and production operations.
TASKS AND RESPONSIBILITIES
Design and implement end-to-end cloud services and APIs independently
Define data schemas and service boundaries aligned to AI-first system design
Own full service lifecycle including:
development
automated testing (functional and integration)
CI/CD pipelines
deployment and release
production monitoring and alerting
Build and maintain observability, dashboards, and runbooks
Apply distributed systems design for scalability, performance, and fault tolerance
Investigate production issues and drive resolution and learnings
Review code and guide less experienced engineers
Use AI effectively to improve velocity while ensuring sound system design
EXPERIENCE AND QUALIFICATIONS
University degree in computer science, mathematics, IT or relevant professional experience with qualified technical training
8 to 12 years of relevant experience
Strong fundamentals in distributed systems and cloud-native architecture
Proficiency in at least one up-to-date programming language (Go, Java, C++, Python, Rust, or similar) with experience building production-quality services
Experience building and operating production services
Understanding of scalability, reliability, and security
Experience with automation, CI/CD, and service ownership
Ability to use AI tools effectively while applying engineering judgment
Working under minimal supervision
Takes responsibility proactively
Interested? Apply now via our online applicant portal