About AnthropicAnthropic’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.At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.ResponsibilitiesLead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stackDevelop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilitiesCreate and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidentsReview Incident Response metrics and procedures and drive continuous improvementWork cross functionally with other security and engineering teamsNote: This position will require participation in an on-call rotationYou may be a good fit if you3+ years of software engineering experience, with security experience a plus and/or5+ years of detection engineering, incident response, or threat hunting experienceA solid understanding of cloud environments and operationsExperience working with engineering teams in a SaaS environmentExceptional communication and collaboration skillsAn ability to lead projects with little guidanceThe ability to pick up new languages and technologies quicklyExperience handling security incidents and investigating anomalies as part of a teamKnowledge of EDR, SIEM, SOAR, or related security toolsStrong candidates may also have experience withExperience performing security operations or investigations involving large-scale Kubernetes environmentsA high level of proficiency in Python and query languages such as SQLExperience analyzing attack behavior and prototyping high quality detectionsExperience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensicsExperience contributing to a high growth startup environmentDeadline to apply: None. Applications will be reviewed on a rolling basis.SalaryThe expected salary range for this position is:Annual Salary: £240,000 — £325,000 GBPLogisticsEducation requirements: We require at least a Bachelor\'s degree in a related field or equivalent experience.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.How we\'re differentWe 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. #J-18808-Ljbffr