Security Engineer, Offensive Security
Anthropic
AED 300,000 - AED 320,000 / year
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
What You’ll Do:
- Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments.
- Penetration test specific, high value deployments.
- Contribute to AI-assisted security testing tooling and workflows.
- Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios.
- Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps.
Who You Are:
- 5+ years of hands-on experience in red teaming and offensive security operations
- Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines
- Track record of discovering novel attack vectors and chaining vulnerabilities creatively
- Experience conducting adversarial simulations against well-defended environments
- Strong engineering skills (Python, Go, or similar)
- Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes
- Collaborative approach, working in close collaboration with the blue team
Strong candidates may also have experience with:
- Prior work at organizations with state actor threat models
- Interest in AI safety and how security engineering contributes to responsible AI developments
- Background testing AI/ML systems or agentic workflows
- Familiarity with detection engineering and SIEM/EDR platforms from the defensive side
- Experience with data center security or hardware-based attacks
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Benefits
- stock options
- parental leave
About this role
Anthropic's Security Engineering team is looking for an offensive security specialist to conduct red team operations, penetration testing, and adversarial simulations across their AI infrastructure—cloud deployments, endpoints, and bare metal systems. You'd work on discovering novel attack vectors, building AI-assisted security testing tools, and translating your findings into actionable risk insights for both technical teams and executives. The role sits at the intersection of traditional security operations and AI-specific threat scenarios, requiring you to think creatively about how advanced attackers might compromise well-defended environments.
You'll need at least five years of hands-on red teaming experience and deep expertise in at least two domains: macOS or Linux security, cloud platforms, Kubernetes, or CI/CD pipelines. Strong engineering skills in Python, Go, or similar languages are essential, as is the ability to write clear, compelling findings that drive security decisions. The ideal candidate has a track record of chaining vulnerabilities together and can collaborate closely with defensive teams to validate and prioritize fixes.
This hybrid role based in the UAE offers $300,000–$320,000 annually and welcomes candidates with adjacent experience in detection engineering, AI/ML system testing, or data center security. A bachelor's degree or equivalent professional background is required. Anthropic will sponsor visas where possible and encourages applications even if you don't check every box.
How this employer is doing
solid
- News: Recently Raised Funding
- Leadership Change
- Recently Raised Funding
In the news
Amazon 3.7 GW Campus and Anthropic $13.7B Deal Lead U.S. Data Center Expansion, Ein Presswire
Pay for this role
$300,000 to $320,000 per year
That is the employer's posted range, and where you land in it is usually decided in one conversation. Before that conversation, run the numbers: analyze an offer for this role.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.