Security Engineer
Helsing
| Company | Helsing |
| Category | Engineering |
| Location | Berlin; London; Munich |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 30 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Who we are
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
The role
Security Engineering at Helsing sits at the intersection of deep technical expertise, adversarial thinking, and real-world impact. As a Junior Security Engineer, you will join a team that works across the full breadth of our technology - from cloud infrastructure to applications, identity systems, and products - identifying and reducing the security risks that matter most.
This is a role for someone early in their career who has the engineering foundations, security instincts, and curiosity to grow into a highly capable security engineer. You will be paired with an experienced senior engineer as a dedicated mentor, work on real problems from day one, and be supported with a structured development path. We are not looking for someone who already has all the answers - we are looking for someone who builds things, thinks adversarially, and learns fast.
The day-to-day
Work alongside senior security engineers on threat modelling and security reviews - learning to identify architectural risks, trust boundary issues, and failure modes
Build and improve security tooling and automation - writing code that reduces manual security work and embeds secure-by-default practices into engineering workflows
Contribute to security testing across our systems and products, including hands-on technical testing under supervision
Own well-defined security workstreams, progressively taking on more scope and autonomy as your skills develop
Observe and learn from security incidents through ride-alongs with experienced engineers, progressing to hands-on incident response roles as you develop and gain the required access
Help maintain and improve our security documentation, runbooks, and internal guidance
Support assurance activities such as audits and certifications alongside experienced team members
You should apply if you
You have built non-trivial software - projects that demonstrate genuine engineering ability, not just framework usage (e.g. security tools, automation pipelines, network utilities, infrastructure-as-code, compilers, or embedded systems)
You can reason about how systems work below the abstraction layer you operate at - memory, networking, operating systems, or hardware
You have a track record of self-directed security interest - CTF participation, vulnerability research, protocol analysis, bug bounties, or open-source security contributions
You have shown initiative and ownership in student or early-career contexts - leading a project, driving a decision, or building something beyond what was asked of you
Nice to Have
Participation in a selective security programme - examples include CyberFirst, GCHQ summer schemes, NCSC-sponsored bursaries, BSI programmes, CSAW, military technical roles, competitive research placements, or funded PhD positions
Hands-on offensive security experience through CTFs, personal projects, or structured programmes
Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code concepts
Exposure to AI or machine learning sys
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