Вакансии

Detection & Response engineers own their detections end to end: you write them, you tune them, and your team is paged when they fire. The security team is spread across the globe with a follow-the-sun pager rotation so nobody is paged at 3am local.

138 196 – 252 000 $

Own our detection coverage across Defender XDR, Entra ID, Sentinel, Microsoft Graph, Azure, and Microsoft 365 — from raw signal through to shipped, tuned detections. Build and maintain a living map of Microsoft security signal: what exists, known ingestion lag, where it lands, what gates it, how long it's kept, and how far you can trust it.

142 900 – 207 200 $

Anthropic is looking for a Senior Staff Security Engineer to lead incident response and build threat detection and response capabilities.

Зарплата не указана

• Исследовать техники, TTP и реальную телеметрию: пробелы покрытия, слабые места правил, типичные обходы. Готовить гипотезы, критерии проверки и сами механики обнаружения для новых и усиленных детектов.

Зарплата не указана

• Глубокая техническая экспертиза. • Опыт работы с detection capabilities в MDR-среде.

Зарплата не указана

Own the end-to-end lifecycle of Expel's detection pipeline (normalization, correlation, and automated detections and suppressions), from defining the six month vision to driving execution with Engineering and UX. 2–4 years of experience in product management or a directly relevant role, with experience in the security industry strongly preferred.

114 300 – 165 700 $

Задачи: — Разработка и внедрение правил обнаружения угроз (создание, тестирование, оптимизация) — Подключение и интеграция новых источников данных (организация подключения, настройка парсеров, фильтров и нормализации данных) — Формирование гипотез для Threat Hunting (анализ данных, формирование гипотез/intake идей) — Документирование и сопровождение (каталог контента: правила по детектированию угроз, подключенные источник, парсеры) — Мониторинг и оптимизация правил детектирования (анализ FP, снижение уровня "шума", аудит и актуализация существующего контента, управление исключениями) Требования: — Опыт работы в сфере информационной безопасности (желательно в SOC) — Понимание принципов работы SIEM‑систем (ELK, MP, KUMA и пр,) — Опыт написания и отладки правил обнаружения — Знание MITRE ATT&CK Framework и умение применять его на практике — Опыт работы с логами различных систем: ОС (Windows, Linux), сети (Firewall, Proxy, DNS), EDR, приложения — Навыки парсинга и нормализации логов (регулярные выражения, grok‑паттерны, JSON/XML парсинг)

Зарплата не указана

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build. We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion. You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next. We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters WHAT YOU'LL ACHIEVE - Build and tune high-signal detections across cloud, identity, endpoint, and SaaS environments, with review and mentorship from senior teammates as you ramp up. - Contribute to the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety. - Build tooling and automation that speed up triage, enrichment, investigation, and detection authoring, including LLM-based workflows where useful. - Turn threat intelligence and adversary TTPs into detections, telemetry requirements, and response improvements. - Take part in investigations, incident response, and postmortems, and help turn what we learn into lasting fixes. - Help define and track metrics such as coverage, MTTD, and alert quality. - Join a shared on-call rotation for incident response. SKILLS YOU'LL NEED TO BRING - We're hiring across a range of experience levels. If you have some of these skills but not all, we'd still like to hear from you. - 3+ years of experience in detection engineering, security operations, incident response, threat hunting, or a closely related security or software engineering role. - Have written or tuned detections that run in production, and care about signal quality and cutting noise. - Working knowledge of at least one detection or query language (Sigma, KQL, SPL, YARA-L, EQL, or Panther), or strong SQL or Python skills and the drive to learn one quickly. - An understanding of how attackers operate (for example, MITRE ATT&CK), and the ability to use it to decide what to detect. - Hands-on experience with AWS, GCP, or Azure, ideally including identity and access logs. - Have used SIEM, EDR, or SOAR tools in any size of environment. - Write clearly in runbooks, design docs, and incident notes, and can own well-scoped projects end to end. NICE TO HAVE - Have led purple team, blue team, or adversary emulation exercises that improved detections or telemetry. - Experience running SIEM, EDR, or SOAR platforms at large scale. - Experience building or maintaining detection-as-code workflows (version control, CI, and tests for detections). - Experience applying LLMs or agent-style tooling to security workflows. - Experience securing AI-enabled systems or endpoint tooling. - Kubernetes or container detection experience. - Background in threat intelligence, malware analysis, or digital forensics. - Contributions to the security community through research, tooling, CTFs, or talks. - Experience at a high-growth startup or AI company. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $185,000 - $280,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550 and and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Dublin, Ireland Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build. We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion. You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next. We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters WHAT YOU'LL ACHIEVE - Build and tune high-signal detections across cloud, identity, endpoint, and SaaS environments, with review and mentorship from senior teammates as you ramp up. - Contribute to the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety. - Build tooling and automation that speed up triage, enrichment, investigation, and detection authoring, including LLM-based workflows where useful. - Turn threat intelligence and adversary TTPs into detections, telemetry requirements, and response improvements. - Take part in investigations, incident response, and postmortems, and help turn what we learn into lasting fixes. - Help define and track metrics such as coverage, MTTD, and alert quality. - Join a shared on-call rotation for incident response. SKILLS YOU'LL NEED TO BRING - We're hiring across a range of experience levels. If you have some of these skills but not all, we'd still like to hear from you. - 3+ years of experience in detection engineering, security operations, incident response, threat hunting, or a closely related security or software engineering role. - Have written or tuned detections that run in production, and care about signal quality and cutting noise. - Working knowledge of at least one detection or query language (Sigma, KQL, SPL, YARA-L, EQL, or Panther), or strong SQL or Python skills and the drive to learn one quickly. - An understanding of how attackers operate (for example, MITRE ATT&CK), and the ability to use it to decide what to detect. - Hands-on experience with AWS, GCP, or Azure, ideally including identity and access logs. - Have used SIEM, EDR, or SOAR tools in any size of environment. - Write clearly in runbooks, design docs, and incident notes, and can own well-scoped projects end to end. NICE TO HAVE - Have led purple team, blue team, or adversary emulation exercises that improved detections or telemetry. - Experience running SIEM, EDR, or SOAR platforms at large scale. - Experience building or maintaining detection-as-code workflows (version control, CI, and tests for detections). - Experience applying LLMs or agent-style tooling to security workflows. - Experience securing AI-enabled systems or endpoint tooling. - Kubernetes or container detection experience. - Background in threat intelligence, malware analysis, or digital forensics. - Contributions to the security community through research, tooling, CTFs, or talks. - Experience at a high-growth startup or AI company. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated base salary range for this role is €75,000–€142,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry's issue platform processes billions of events every day to help millions of developers find and fix bugs. The hard part is deciding which events point to a problem, which belong together, and what a developer needs to know to investigate. As a Senior Software Engineer on the Issue Detection team, you'll design, build, and operate the systems that make those decisions. You'll work on real-time processing pipelines, monitors, and analysis systems that detect problems and turn them into issues. The work combines distributed systems with product engineering. Choices about detection accuracy and processing latency affect which problems developers see and how soon they can act. You'll help shape how developers monitor their applications and how Sentry groups related events into issues. You'll also build the context developers and AI agents need to investigate what went wrong. Keeping these systems reliable and fast as Sentry grows is part of the job, alongside making the issues they produce more useful. IN THIS ROLE YOU WILL - Build and scale features on a product surface handling billions of events daily, where both query latency and correctness are immediately visible to users. - Own the design and delivery of substantial projects end to end, scoping alongside product and design, making the technical calls within your scope, shipping, and instrumenting what you ship so the team can measure it. - You will contribute to meaningful technical product decisions: grouping quality, search performance, migrations and backfills against enormous datasets, and making the surface work well for both humans and agents. - Champion product quality and user experience. Build features that don't just work—they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. You instrument everything so the team can measure and improve. - Mentor and elevate others. You've helped engineers grow their skills. You celebrate wins and learn from failures alongside your teammates. YOU’LL LOVE THIS JOB IF YOU - Are a distributed systems engineer who understands the realities of high-scale architectures. You know about eventual consistency, partitioning strategies, caching layers, and query optimization. You've debugged enough systems at scale that you now know to design for failure and build systems that degrade gracefully. - Are product-minded and understand that great engineering serves users. You collaborate effectively with Product and Design, offering technical perspectives that shape better products. You can explain technical constraints in user-centric terms. You get excited about making developers' lives better, not just solving technical puzzles. - Have strong full-stack instincts. While this role is backend-heavy, you understand the entire system from data ingestion to what renders in the browser. You know enough about frontend performance, API design, and user experience to make good architectural decisions that consider the whole picture. - Include and uplift others. You've helped engineers grow their skills in systems design, coding practices, and product thinking. You're generous with knowledge and patient in explaining complex concepts. You celebrate wins and learn from failures alongside your teammates. QUALIFICATIONS - 5+ years of full-stack software engineering experience, ideally Python and TypeScript - Strong domain modeling skills, with working experience in distributed systems, data stores, and message queues - Excellent written and verbal communication skills - Experience with PostgreSQL, ClickHouse, or Kafka is preferred EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Fastly is seeking a Threat Detection Analyst for the APAC region who is Japanese speaking. The role is part of the Fastly Customer Security Operations Center (CSOC) team, focusing on operational support of Fastly’s security products and services, particularly integrating and supporting agent software installed on customer systems. The position involves monitoring and analyzing customer activity with emphasis on security functions such as identifying account-takeover, Bot Attacks, and WAF administration, focusing on application layer security and web technologies. The role requires working Friday to Tuesday, 0000 - 0800 UTC (9am - 6pm AEST). Responsibilities include: — Ensuring security for customers and providing outstanding responses to security issues. — Providing deep application-security expertise on escalated cases from customers and automated systems. — Conducting continuous improvement and research to enhance customer security products and operations. — Contributing to processes and policies to scale the organization. — Creating and reviewing security service reports for customers. — Creating and managing security content for customer environments. Requirements: — Prior experience working in a SOC environment. — Experience with SaaS/Cloud or hybrid cloud deployments; Apache, NGINX, IIS or other web server platforms and associated application server technologies and frameworks. — Scripting skills in Python, Java, Go, Rust, PHP, Unix/Linux Shell, C#, or other common web languages. — Strong information security background with practical skills in application security. — Experience in IT or security technical support, operations, or research roles. — Unix/Linux or Windows system administration skills. — Ability to work with limited supervision and mentor others on security knowledge. — Fluent spoken and written English, adaptable to different audiences. — Experience troubleshooting software products. — Focus on delivering exceptional customer experiences. Work hours require availability during core business hours. The position is remote based with potential to become hybrid as Fastly expands in the region. Travel to the US and internationally may be required. Benefits include a comprehensive package starting from day one, with variations depending on country. Fastly emphasizes a positive work environment, diversity, inclusion, and support for employees' passions and causes. Applications must be submitted through Fastly's official careers site. Fastly is an equal opportunity employer committed to a safe and welcoming work environment free of discrimination and harassment. Reasonable accommodations are available for applicants with disabilities.

Location: Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE The Security Team is responsible for securing all things Sentry: our customers, our code, and everything in between. We are a small but growing team with broad scope, high trust, and the autonomy to tackle hard security problems with creativity and an engineering mindset. We work at a company with a strong developer culture, building a product that millions of developers genuinely love and rely on. That context shapes everything about how we operate. We take a pragmatic approach to preventing and responding to security risks. In this role not only will you build and contribute to systems which detect malicious activity, you will have the unique opportunity to implement new controls to prevent future incidents. You will work across detection and response and corporate security domains. You'll contribute to practices that keep Sentry secure as we grow: alert triage for corporate and production, detection engineering, deploying preventative controls, identity and access management, investigations and incident response, and more. You'll partner with teams across the company to prevent and respond to security incidents. You will work as a technical collaborator who prioritizes preventative controls, defense in depth, and high signal alerting practices. As Sentry expands our agentic product capabilities and development practices, you'll also find yourself at the frontier of a new set of security approaches and challenges. IN THIS ROLE, YOU WILL - Maintain, improve, and own detection engineering systems. We own and operate our own detection stack and are building agentic triage with thoughtful security response and orchestration automation. - Perform investigations, and contribute to security incident response. You will assist and contribute to a breadth of incident types, or Sentry and our customers. - Contribute to, maintain, and operate identity and access management systems. Access management is a critical component of our security program. - Have a lot of opportunity to grow and learn across many security domains. We are a highly cross-functional team and you will have opportunities to touch adjacent security projects spanning appsec, infrasec, governance, and privacy. - Research, identify, and respond to emerging threats relevant to Sentry. We build and operate a complex application and cloud environment, including the novel attack surface introduced by Sentry's agentic product features and AI-assisted engineering practices. YOU’LL THRIVE IN THIS ROLE IF YOU - Enjoy operating cross-functionally, building relationships, and influencing with technical expertise as you protect a fast-moving engineering organization. - Get excited when something new lands on your desk, be it an interesting breach, a sweet exploit, a novel agentic architecture, an unfamiliar cloud primitive, or a bug class you haven't seen before. - Love working in a developer-forward culture where your colleagues are builders who care deeply about code quality and customer satisfaction. - Reach for automation first, you'd rather build a scalable, systematic solution to a security problem than make a noisy reactive solution which requires manual triage. - Thrive with ownership and want more of it, you prefer to drive work end-to-end, and you're energized by the autonomy — and the mentorship — that comes with being on a small, high-trust team. QUALIFICATIONS - 2-5 years of industry experience in a detection and response, corporate security, or generalist security engineering role - Degree in Computer Science or a related field, equivalent training, or professional experience - Hands-on experience with several of the following: alert triage, detection tuning and writing, detection-as-code, security log ingestion, investigations and security incident response, identity and access management (IAM), phishing response, user access reviews, managing endpoint detection and response tooling - Experienced and comfortable programing in at least one language (Python preferred) and comfortable using agentic development workflows - Familiarity with operating distributed cloud technology (AWS, CICD, GCP, Azure, Kubernetes, Docker, Terraform, etc.) and experience with corporate (SSO, SAML, IAM) and defensive security tooling (EDR, SIEM, CNAPP, ZTNA, etc.) - A collaborative approach to problem solving paired with strong written and verbal communication Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people are excited about this opportunity and eager to grow. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $162,000 to $200,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE The Security Team is responsible for securing all things Sentry: our customers, our code, and everything in between. We are a small but growing team with broad scope, high trust, and the autonomy to tackle hard security problems with creativity and an engineering mindset. We work at a company with a strong developer culture, building a product that millions of developers genuinely love and rely on. That context shapes everything about how we operate. We take a pragmatic approach to preventing and responding to security risks. In this role not only will you build and contribute to systems which detect malicious activity, you will have the unique opportunity to implement new controls to prevent future incidents. You will work across detection and response and corporate security domains. You'll contribute to practices that keep Sentry secure as we grow: alert triage for corporate and production, detection engineering, deploying preventative controls, identity and access management, investigations and incident response, and more. You'll partner with teams across the company to prevent and respond to security incidents. You will work as a technical collaborator who prioritizes preventative controls, defense in depth, and high signal alerting practices. As Sentry expands our agentic product capabilities and development practices, you'll also find yourself at the frontier of a new set of security approaches and challenges. IN THIS ROLE, YOU WILL - Maintain, improve, and own detection engineering systems. We own and operate our own detection stack and are building agentic triage with thoughtful security response and orchestration automation. - Perform investigations, and contribute to security incident response. You will assist and contribute to a breadth of incident types, or Sentry and our customers. - Contribute to, maintain, and operate identity and access management systems. Access management is a critical component of our security program. - Have a lot of opportunity to grow and learn across many security domains. We are a highly cross-functional team and you will have opportunities to touch adjacent security projects spanning appsec, infrasec, governance, and privacy. - Research, identify, and respond to emerging threats relevant to Sentry. We build and operate a complex application and cloud environment, including the novel attack surface introduced by Sentry's agentic product features and AI-assisted engineering practices. YOU’LL THRIVE IN THIS ROLE IF YOU - Enjoy operating cross-functionally, building relationships, and influencing with technical expertise as you protect a fast-moving engineering organization. - Get excited when something new lands on your desk, be it an interesting breach, a sweet exploit, a novel agentic architecture, an unfamiliar cloud primitive, or a bug class you haven't seen before. - Love working in a developer-forward culture where your colleagues are builders who care deeply about code quality and customer satisfaction. - Reach for automation first, you'd rather build a scalable, systematic solution to a security problem than make a noisy reactive solution which requires manual triage. - Thrive with ownership and want more of it, you prefer to drive work end-to-end, and you're energized by the autonomy — and the mentorship — that comes with being on a small, high-trust team. QUALIFICATIONS - 2-5 years of industry experience in a detection and response, corporate security, or generalist security engineering role - Degree in Computer Science or a related field, equivalent training, or professional experience - Hands-on experience with several of the following: alert triage, detection tuning and writing, detection-as-code, security log ingestion, investigations and security incident response, identity and access management (IAM), phishing response, user access reviews, managing endpoint detection and response tooling - Experienced and comfortable programing in at least one language (Python preferred) and comfortable using agentic development workflows - Familiarity with operating distributed cloud technology (AWS, CICD, GCP, Azure, Kubernetes, Docker, Terraform, etc.) and experience with corporate (SSO, SAML, IAM) and defensive security tooling (EDR, SIEM, CNAPP, ZTNA, etc.) - A collaborative approach to problem solving paired with strong written and verbal communication Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people are excited about this opportunity and eager to grow. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $150,000 to $200,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. WHAT YOU'LL WORK ON: DETECTION ENGINEERING - Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems - Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents - Improve visibility across cloud infrastructure, containers, identity systems, and production services INCIDENT RESPONSE - Lead or participate in investigations spanning production infrastructure, cloud environments, and internal systems - Build playbooks and automation that reduce investigation time and improve response consistency - Drive post-incident improvements that eliminate entire classes of future incidents SECURITY TOOLING & AUTOMATION - Build internal tooling that improves detection, investigation, and response workflows - Leverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry - Improve the collection, quality, and usability of security telemetry across the platform ENGINEERING PARTNERSHIP - Partner with engineering teams to ensure new systems are observable and secure by default - Help teams instrument services with the telemetry needed for effective detection and response - Drive security improvements that make the platform easier to defend over time WHAT WE'RE LOOKING FOR: - Experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus - Strong software engineering skills with experience building production systems - Experience investigating security incidents in cloud-native or distributed environments - Familiarity with modern cloud infrastructure, Kubernetes, Linux, and networking - Experience building detections using logs, telemetry, behavioral signals, or large-scale event data - Strong SQL skills for investigating security events and developing detections - Interest in applying AI and LLMs to detection, investigation, and response, including understanding emerging threats involving AI-powered systems - Strong written and verbal communication skills PREFERRED QUALIFICATIONS: - Experience building AI- or LLM-powered security tooling - Experience with SIEM, SOAR, or EDR platforms - Experience with Kubernetes security or large-scale cloud infrastructure - Experience with threat hunting, malware analysis, or digital forensics - Experience contributing to security operations in a high-growth engineering organization

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy. ABOUT THE ROLE You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must. This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly. Location/City: San Francisco or NYC WHAT YOU'LL DO - Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work. - Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful. - Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements. - Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy. - Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes. - Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design. WHAT YOU'LL BRING - 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work. - Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts. - Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections. - Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise. - Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates. - Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production. - A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively. NICE TO HAVE - Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response. - Proficiency using AI tooling to accelerate security investigations and engineering work. - Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads. - Exposure to SOC 2 or ISO 27001 monitoring and evidence automation. - Experience with infrastructure as code such as Terraform or Helm. - Experience securing both SaaS and self-hosted or air-gapped deployments. Annual salary range: $185,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Задачи: — Проектирование и разработка бэкенд-сервисов DSPM: разработка ядра продукта, включая пайплайны сканирования, обработки и парсинга документов, матчеры чувствительной информации, хранение и шифрование результатов. — Проектирование и разработка высоконагруженных отказоустойчивых бэкенд-сервисов, способных обрабатывать терабайты клиентских данных в потоковом режиме с акцентом на производительность, надёжность и стоимость обработки. — Сопровождение сервисов на всём жизненном цикле: от дизайна и код-ревью до выкатки и эксплуатации, включая мониторинг и алерты. Требования: — Уверенное владение Java и понимание JVM, включая принципы многопоточности и внутреннее исполнение кода. — Опыт разработки бэкенд-сервисов в продакшене с использованием Spring Boot, gRPC, баз данных и очередей или топиков. — Инженерная зрелость и продуктовое мышление, внимательность к качеству кода, включая тесты, код-ревью и наблюдаемость. — Способность самостоятельно разбираться в смежных компонентах и доводить задачи до результата.

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Location: Hybrid - San Francisco, New York City, London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Security Software Engineer, Detection & Response, to build the telemetry, logging, and response systems for our Detection & Response team, as a builder, not a queue-triage role. You will build detection and response as software across a multi-cloud fleet of servers, containers, and endpoints, and test where AI and agents can safely take work off responders. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office. What you’ll do: Deploy and operate telemetry at fleet scale with osquery and extended Berkeley Packet Filter (eBPF) sensors across servers, containers, and endpoints, and own performance overhead, staged rollouts, canaries, and rollbacks Build and maintain the logging and security information and event management (SIEM) pipeline behind detection, including ingestion, normalization, enrichment, storage, and cost, with detections written as code with tests, code review, and continuous integration and continuous delivery (CI/CD) Automate response with tooling for host isolation, credential revocation, evidence collection, and enrichment, and test where AI and agents can safely take work off responders Strengthen the corporate security stack, including endpoint detection and response (EDR) and fleet management across Mac, Windows, and Linux, email security, and GitHub controls Join the on-call rotation, work with the managed security operations center (SOC) on escalations, and automate evidence collection for System and Organization Controls 2 (SOC 2), Payment Card Industry Data Security Standard (PCI DSS), and ISO audits What you need: 5+ years in security, infrastructure, or platform engineering, writing production code in a compiled language (Go or Rust preferred) and a scripting language (Python or Bash) Deployed and operated agents, sensors, or telemetry collectors at fleet scale, such as osquery or eBPF-based tooling Operated AWS infrastructure, including networking, identity and access management (IAM), logging, and container workloads, with infrastructure as code in Terraform Built and run a data or logging pipeline, including SIEM operations and SQL for investigation Bonus if you: Worked with managed SOC providers or security orchestration, automation, and response (SOAR) platforms Built or contributed to open source security or observability tooling Know serverless platforms and API security Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000-$312,000. This salary range is an estimate. Actual salary will be based on job-related skills, experience, and location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.