Write clean, efficient, and well-documented code while learning standard methodologies through code reviews and team discussions.
Work with senior engineers to understand project requirements, fix bugs, and build great software together.
Keep things running efficiently by maintaining and solving issues in applications.
Dive into root cause analysis, boost security, and make sure our software stays reliable.
Stay ahead of industry trends, sharpen your coding game, and grow in an agile environment.
Stay on top of live service support, keeping an eye out for bugs and making sure everything runs smoothly.
Maintain an open and adaptive outlook – constantly curious and willing to get involved in lab and platform activities.

Experience with designing Agentic AI solutions, preferably in context to Cyber Security.
Quality Engineering – especially test automation.
Knowledge of ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) design principles.
Understanding of Data Lifecycle.
Collaboration abilities, capable of persuading and coordinating varied teams towards a common goal.
Some experience of constructing secure systems while following enterprise security and compliance guidelines.
Ability to communicate a technical concept to a non-technical audience.
Experience in DevOps engineering, ideally GCP, but with a growth mindset if another cloud platform.
Knowledge of Kubeflow deployments or experience delivering platforms built for AI use cases e.g. through Vertex AI.
GCP Cloud Composer, GKE, Cloud Storage, Cloud Pub/Sub, Terraform, CI/CD using Harness, GitHub, Agile working.

Software Engineer – Security, Data and AI

Key skills