Software Development Engineer - Applied Research

You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

You'll build the algorithms and detection logic that secure non-human identities and cloud entitlements. This is applied research as much as engineering: you'll study how identities interact with cloud permissions, model where access is excessive, and write the detection code that surfaces over-permissioning at scale.

The work sits between backend engineering, cloud IAM analysis and algorithm development, and it suits someone who wants investigative work to end in shipped software rather than a report.

What You’ll Do

Build and optimise detection logic for over-permissioned identities, excessive entitlements and least-privilege gaps

Study how service accounts, IAM roles, workload identities and API tokens use permissions, and where behaviour diverges from what was granted

Model effective permissions programmatically across AWS IAM, Azure RBAC and Entra ID, or GCP IAM

Write heuristics and statistical routines to flag risky permission patterns

Turn known attack paths, such as privilege escalation and credential misuse, into automated detection coverage

Prototype, then work with product engineering to scale models into production

What You’ll Bring

3+ years writing clean, maintainable backend code, ideally Python or Go

Solid grasp of IAM mechanics in AWS, Azure/Entra or GCP: policies, roles, authorisation flow

Building analytical logic or heuristics from structured data, logs or permission models

A methodical approach to complex debugging and real depth of interest in security

Strong technical communication with engineering and product colleagues

Who You Are

You are a team player, eager and open to sharing successes and failures.