Требования:
▫️Data Platform: Microsoft Fabric (OneLake, Data Factory, Synapse Data Engineering / Data Warehouse)
▫️Data Engineering: Apache Spark / PySpark, Azure Data Factory, Dataflow Gen2, ETL/ELT
▫️Programming: Python, SQL / T-SQL
▫️Architecture & Storage: Lakehouse / DWH, Medallion Architecture (Bronze / Silver / Gold), Delta Lake / Parquet
▫️Cloud: Microsoft Azure, AWS S3 / GCP, Fabric Shortcuts
▫️DevOps: Git, Azure DevOps / GitHub Actions, Docker, CI/CD
▫️Data Analytics: Data Marts, relational data modeling, Power BI - буде преимуществом
▫️Английский: В2+
Основные задачи:
▫️Архитектура Lakehouse / DWH
Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric.
Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).
▫️Разработка ETL/ELT-пайплайнов
Создание и поддержка надёжных и отказоустойчивых pipelines для интеграции данных с использованием Azure Data Factory и Dataflow Gen2.
Настройка подключений к внешним облачным источникам AWS S3 / GCP через Fabric Shortcuts.
▫️Обработка больших данных
Разработка и оптимизация высокопроизводительного распределённого кода на PySpark для очистки данных, сложных трансформаций и агрегации больших объёмов информации.
▫️Проектирование Data Marts и работа с T-SQL
Проектирование реляционных моделей данных и аналитических представлений в Synapse Data Warehouse.
Оптимизация сложных T-SQL-запросов для достижения минимальной задержки.
▫️Автоматизация и CI/CD
Настройка процессов Continuous Integration и Continuous Deployment с использованием Azure DevOps / GitHub Actions для автоматизации развёртывания инфраструктуры DWH, схем и кода.
Требования:
▫️Data Platform: Microsoft Fabric (OneLake, Data Factory, Synapse Data Engineering / Data Warehouse)
▫️Data Engineering: Apache Spark / PySpark, Azure Data Factory, Dataflow Gen2, ETL/ELT
▫️Programming: Python, SQL / T-SQL
▫️Architecture & Storage: Lakehouse / DWH, Medallion Architecture (Bronze / Silver / Gold), Delta Lake / Parquet
▫️Cloud: Microsoft Azure, AWS S3 / GCP, Fabric Shortcuts
▫️DevOps: Git, Azure DevOps / GitHub Actions, Docker, CI/CD
▫️Data Analytics: Data Marts, relational data modeling, Power BI - будет преимуществом
▫️Английский: В2+
Основные задачи:
▫️Архитектура Lakehouse / DWH
Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric.
Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).
▫️Разработка ETL/ELT-пайплайнов
Создание и поддержка надёжных и отказоустойчивых pipelines для интеграции данных с использованием Azure Data Factory и Dataflow Gen2.
Настройка подключений к внешним облачным источникам AWS S3 / GCP через Fabric Shortcuts.
▫️Обработка больших данных
Разработка и оптимизация высокопроизводительного распределённого кода на PySpark для очистки данных, сложных трансформаций и агрегации больших объёмов информации.
▫️Проектирование Data Marts и работа с T-SQL
Проектирование реляционных моделей данных и аналитических представлений в Synapse Data Warehouse.
Оптимизация сложных T-SQL-запросов для достижения минимальной задержки.
▫️Автоматизация и CI/CD
Настройка процессов Continuous Integration и Continuous Deployment с использованием Azure DevOps / GitHub Actions для автоматизации развёртывания инфраструктуры DWH, схем и кода.
Location: Iasi Office; Berlin Office
Workplace: Hybrid
ABOUT THE ROLE
Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for students with a passion for distributed systems who want to turbocharge their career. If you’re ambitious, have strong engineering fundamentals, and want to grow as a software engineer, then this role is for you!
WHAT YOU'LL DO
- Depending on your final team, either work on backend components written in Python / FastAPI, hosted on an AWS serverless architecture, or work on React/Typescript front-end components, or a combination of both!
- Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions.
- Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups.
REQUIREMENTS:
- Taktile is a hybrid company that requires working 3 days/week from our Berlin HQ in Germany or our Engineering Hub in Iasi, Romania.
- Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication.
- Strong engineering fundamentals with a passion for simplicity and precision
REQUIRED EXPERIENCE
- Fantastic Computer Science fundamentals. Data structures, algorithms, networking, distributed systems, databases, and everything in between!
IDEAL, BUT NOT REQUIRED
- Exposure to AWS, especially Lambda.
- Experience with frontend development - React or similar frameworks.
OUR OFFER
- Work with colleagues who lift you up, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
- Receive a new Apple MacBook Pro as well as cutting-edge hardware.
OUR STANCE
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
- We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.
ABOUT TAKTILE
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents.
With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding.
Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
ABOUT YOUR EMPLOYMENT.
Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
YOUR PRIVACY
Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
HOW WE USE YOUR DATA
We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
LEGAL BASIS (EU/UK APPLICANTS)
We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
RETENTION
If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.
YOUR RIGHTS
Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.
AUTOMATED DECISION-MAKING
We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
INTERNATIONAL TRANSFERS
Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com http://taktile.com
Задачи:
— Разрабатывать кластеризованный on-premise build ClickHouse для собственной cloud-инфраструктуры
— Внедрять, масштабировать и поддерживать ClickHouse-кластеры в production
— Развивать DB-related инфраструктуру Data-платформы
— Автоматизировать инфраструктурные процессы и создавать внутренние tooling-решения
— Развивать и интегрировать ролевые модели для ClickHouse, Snowflake, PostgreSQL и других баз данных
— Проектировать naming conventions и пользовательские ролевые модели для баз данных
— Работать с MPP и distributed query stack, включая Trino, Greenplum, Vertica, StarRocks и другие технологии
— Участвовать в развитии производительности, надежности и масштабируемости Data-инфраструктур
Требования:
— 5+ лет опыта в DevOps / SRE / DataOps
— Глубокая практическая экспертиза в ClickHouse и опыт работы с ним в production
— Сильное понимание distributed systems, networking, storage и performance
— Опыт production troubleshooting и низкоуровневого тюнинга Linux / *nix-систем
— Опыт разработки инструментов автоматизации, предпочтительно на Python и/или Go
— Глубокое понимание основных принципов, технологий и инструментов Cybersecurity / AppSec
— Опыт работы с Karpenter
— Опыт оптимизации расходов AWS с использованием Kubecost, Infracost, AWS tagging и других подходов
— Опыт работы с ingress, балансировкой и терминацией трафика: Traefik, Istio, Nginx, SSL/TLS
— Опыт работы с Identity Management решениями: Authentik, Keycloak, Okta или аналогами
— Опыт работы с VPN-решениями: Pritunl, OpenVPN, WireGuard, Fortinet или аналогами
— Глубокое понимание как минимум одной аналитической БД, MPP-системы или distributed query engine: ClickHouse, StarRocks, Trino, Greenplum, Doris, DuckDB, Vertica или аналогов
Условия:
— Работа со сложной Data/ML-инфраструктурой и возможность влиять на ее архитектуру и развитие
— Высокий уровень технической автономии и среда без микроменеджмента
— Гибкий формат работы: удаленно или из офиса
— Гибкое начало рабочего дня с 9:00 до 11:00
— Поддержка релокации за счет компании
— Компенсация спорта и занятий английским языком
— Сессии с психологом и доступ к корпоративной библиотеке
— Возможности для профессионального развития и обмена технической экспертизой
— Командные мероприятия, тимбилдинги и мастер-классы
УдалённоseniorRemote или офис с релокацией за счет компании, поддержка профессионального развития и много свободы в технических решениях; Поддержка релокации за счет компании
Наш клиент — международная B2C AI продуктовая компания, разрабатывающая решения для генерации разговорного текста, изображений и видео.
Требования:
— 3+ года разработки на Python
— Опыт работы с Production GenAI / LLM
— Знание диффузионных моделей и LoRA
— Опыт генерации изображений и видео
— Опыт с агентными рабочими процессами и prompt engineering
— Навыки работы с Docker, AWS, MongoDB
— Опыт GPU inference (RunPod, fal.ai или аналогичные)
— Знание Async Python, очередей и микросервисов
— Уровень английского B2+
Условия:
— Работа в офисе на Кипре
— Компания с более чем 18 AI продуктами
Задачи:
— Владеть полным жизненным циклом detection pipeline Expel (нормализация, корреляция, автоматические детекции и подавления), от определения шестимесячного видения до управления исполнением с командами Engineering и UX.
— Устанавливать отношения с внутренними командами (SOC, Detection Engineering, Engineering) и клиентами, использовать их обратную связь, а также рыночные и конкурентные сигналы для построения и приоритизации дорожной карты с максимальным эффектом.
— Быть голосом своей дорожной карты: чётко доносить ценность до Detection Engineering, SOC, Sales, Customer Success и внутренних заинтересованных сторон.
— Сотрудничать с Product Marketing для эффективного внутреннего и внешнего коммуникации ценности detection pipeline.
Требования:
— Любознательный, ориентированный на клиента подход — комфортно задавать вопрос "почему" до выявления настоящей проблемы.
— 2–4 года опыта в управлении продуктом или напрямую релевантной роли, предпочтительно в индустрии безопасности.
— Знание процессов управления продуктом и разработки ПО, от определения требований до запуска.
— Знакомство с инструментами безопасности — EDR, SIEM, firewall — и понимание их роли в стеке безопасности клиента.
— Широкие знания облачных платформ (AWS, Azure, GCP) и понимание возникающих в них рисков безопасности.
— Опыт работы с SIEM технологиями желателен, особенно с интеграцией или проблемами data pipeline.
— Сильные навыки письменного и устного общения — умение быстро писать user story и презентовать клиенту.
— Способность выстраивать доверие между Engineering, Security Operations, Sales, Customer Success и UX.
Условия:
— Удалённая работа в пределах США.
— Годовой базовый оклад от $114,300 до $165,700 USD с возможностью бонусов и акций.
— Целевой диапазон зарплаты $125,000–$145,000 в зависимости от опыта, навыков и рыночных данных.
— Неограниченный оплачиваемый отпуск, гибкость в выборе места работы, до 24 недель отпуска по уходу за ребёнком, отличные медицинские льготы.
— Требуется разрешение на работу в США, компания не спонсирует визы.
— Равные возможности для всех кандидатов, включая поддержку лиц с инвалидностью.
Задачи:
— Оперативное управление и поддержка облачной инфраструктуры BeyondTrust, обеспечение доступности, производительности и стабильности во всех средах.
— Проектирование, развертывание и обеспечение безопасности мультиаккаунтных AWS, Azure и GCP сред в соответствии со стандартами организации.
— Проектирование, развертывание и поддержка AWS сетевых решений, включая VPC, Transit Gateway, VPC Peering, PrivateLink, VPC Endpoints и сопутствующие маршрутизацию и сервисы подключения.
— Разработка и поддержка переиспользуемых Terraform модулей, управление удалённым состоянием и конфигурациями с контролем версий для соблюдения стандартов инфраструктуры.
— Создание и поддержка CI/CD пайплайнов с использованием GitHub Actions, включая self-hosted runners, для стабильной и надёжной доставки изменений инфраструктуры и приложений.
— Поиск и устранение инцидентов, применение патчей, проверка процессов резервного копирования и восстановления, оптимизация инфраструктуры по производительности и стоимости.
— Решение проблем с облачной связностью, включая DNS, маршрутизацию, балансировку нагрузки и коммуникацию приложений в мультиаккаунтных средах.
— Обеспечение поддержки вне рабочего времени, разрешение инцидентов, документирование пост-инцидентных обзоров и последующих действий.
— Администрирование федерации идентификаций, аутентификации, авторизации и контроля привилегированного доступа в облачных платформах.
— Интеграция, управление и поддержка сторонних инструментов для доступа к облаку, операций, безопасности и аудита.
— Обеспечение соблюдения стандартов управления, включая управление аккаунтами, тегирование ресурсов, соответствие конфигураций и планирование ёмкости через контролируемые и аудируемые изменения.
— Использование AI-инструментов для разработки переиспользуемой автоматизации, ускоряющей доставку и повышающей продуктивность команды.
— Создание и поддержка архитектурных диаграмм, стандартов Terraform, стандартных операционных процедур, руководств по устранению неполадок и документации по аварийному восстановлению.
Требования:
— Опыт 2+ года в проектировании, обеспечении безопасности и управлении крупными облачными средами AWS, Azure или GCP.
— 2+ года практического опыта с основными сервисами AWS, включая сети, вычисления, хранение, балансировку нагрузки, мониторинг и автоматизацию.
— 2+ года опыта разработки и поддержки Terraform модулей или других решений инфраструктуры как кода.
— 2+ года опыта работы с AWS IAM, включая роли, политики, разрешения и управление доступом.
— Глубокое понимание AWS сетей, включая CIDR, маршрутизацию, DNS, средства безопасности, Transit Gateway и VPC-соединения.
— 2+ года опыта работы с Git, версиями, скриптами, управлением конфигурациями и автоматизированным тестированием инфраструктуры.
— 2+ года опыта создания или поддержки CI/CD пайплайнов с использованием GitHub Actions или аналогичных платформ.
— 2+ года опыта скриптинга на Python (предпочтительно), PowerShell или Bash.
— Сильные навыки устранения неполадок, решения проблем и анализа корневых причин.
— Знакомство с инструментами мониторинга и наблюдаемости облака, такими как CloudWatch, Prometheus или Datadog.
— 2+ года опыта работы в рамках ITSM и процессов управления изменениями.
— Сильные устные и письменные коммуникативные навыки, включая создание и поддержку технической документации.
— Степень бакалавра в области компьютерных наук, информационных систем, компьютерной инженерии или эквивалентный практический опыт.
— Обязательна сертификация AWS Certified Solutions Architect Associate, AWS Certified CloudOps Engineer или эквивалентная.
— Опыт 3+ года в двух или более из следующих областей: AWS Organizations, Control Tower и управление мультиаккаунтами; AWS сети, включая VPC, IPAM, WAF и гибридные архитектуры; администрирование GitHub Actions, self-hosted runners или CI/CD платформ; облачная наблюдаемость, безопасность инфраструктуры или регулируемые среды; внедрение облачных контролей в соответствии с SOC 2, ISO 27001, NIST CSF 2.0 или FedRAMP Moderate; использование AI-инструментов для повышения эффективности разработки и операций.
Условия:
— Удалённая работа из Канады или США.
— Полная занятость.
О компании:
BeyondTrust — мировой лидер в области безопасности идентификации, защищающий пути к привилегиям. Компания предлагает решения для управления всей поверхностью атак на идентификацию и нейтрализации угроз как внешних, так и внутренних. Клиентская база включает 20 000 клиентов, в том числе 75 из Fortune 100.
Location: Jakarta, Indonesia; Bandung, Indonesia; Surabaya, Indonesia
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
Paid Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Engineering Manager
Location: Remote US
Compensation Range: $200,000 - $220,000 base plus bonus and equity
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
What You’ll Do:
The Huntress team seeks a Staff Software Engineer to join our SOC Experience team. This team builds the human-analyst side of Huntress’ SOC platform: the investigation and triage experience analysts use to work a case, the remediation actions they take, the queues that route and prioritize incoming work, and the customer-facing reporting that closes the loop with customers. Your contributions will help Huntress improve analyst efficiency, reduce toil, and drive customer outcomes as we scale
protection for the 99%
.
As a Staff Software Engineer, you’ll provide technical leadership across this surface area: shaping architecture and design direction, converting ambiguous requirements into functional workflows and data models, raising the bar on code quality and testing, and mentoring engineers across the team. You’ll partner closely with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems, and you’ll go deep in the code yourself. This is a full-stack role with real front-end weight: the analyst experiences you’ll build are data-dense, interactive interfaces, and you’ll set the bar for front-end quality as well as the back end.
Responsibilities:
Provide technical leadership across the SOC Experience surface area: investigation and triage experience, remediation actions, queues, and customer-facing reporting.
Lead and develop high-quality software, software designs, and architecture
Design and build analyst-facing interfaces end to end, from data model to browser, and set the standard for front-end quality (usability, performance, accessibility, reusable patterns) in partnership with UX
Set the standard for engineering excellence on the team through code review, test plan review, and hands-on pairing
Lead security-by-design reviews of designs and code
Focus on the full lifecycle of the systems you build, including evolution, configuration, and risk management, not just initial delivery
Share ownership of delivery, reliability, and uptime for the features you build, with observability and test automation built in
Mentor engineers across the team to help them grow into harder problems
Balance technical rigor with pragmatism: push back when a shortcut creates real risk, and push back on over-engineering when the goal is discovery or speed
Partner with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems
What You Bring To The Team:
10+ years of experience developing complex software products
5+ years of programming in Ruby on Rails
Strong front-end fundamentals (JavaScript, HTML, CSS) and experience building complex interactive UIs with modern component-based frameworks; today’s stack is Hotwire, Turbo, and Stimulus, but you can reason outside that box
Experience with AWS or other public cloud environments, and Linux-based infrastructure
Experience with relational databases such as Postgres
Experience with AI coding tools, such as Claude Code
Preferred Qualifications:
Experience with ClickHouse
Experience building cybersecurity products, or building/operating a SOC platforms
Experience with Hotwire, Stimulus, Turbo
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response.
If you have questions about your personal data privacy at Huntress, please visit our
privacy page
#BI-Remote
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: Remote | North America or Europe
ABOUT SQUADS
Squads is a financial technology company building products and APIs for the stablecoin economy. We build on open infrastructure, global money, and internet capital markets to deliver better financial services to businesses, individuals, and developers.
Our products span the company’s mission: Squads Multisig helps teams secure and manage assets on Solana; Altitude gives businesses a global account to run their financial operations; and Fuse brings stablecoins and tokenized assets to personal finance.
More than 450 teams use Squads Multisig to secure over $10 billion in value. Our investors include Haun Ventures, Multicoin Capital, Electric Capital, Coinbase Ventures, Toly, Mert, and others.
THE ROLE
You’ll own product and infrastructure security across Squads, working closely with our Head of Security, CTO, and engineering leads across Multisig, Altitude, Fuse, and the infrastructure that powers them. That means being in the room when systems are designed, reviewing code before it ships, and driving every finding to verified closure.
This is a hands-on role. You’ll read code, write threat models, and build the tooling and standards that make the secure path the default as engineering grows. We’re looking for a senior practitioner who can tell engineers what to fix and why, and hold the line on what matters without slowing the team down.
WHAT YOU’LL OWN
DESIGN & CODE REVIEW
- Join product and engineering calls as the security reviewer, raising concerns while designs are still cheap to change
- Lead threat modeling and security design reviews for new products, features, and infrastructure changes
- Perform hands-on secure code review across backend services, APIs, frontends, and Solana programs, with a focus on authentication, authorization, and access control
VULNERABILITY MANAGEMENT
- Own the full lifecycle for findings from audits, pentests, code scanning, and bug bounty: triage, prioritization, remediation tracking, and fix verification
- Set severity and SLA standards, and hold the team to them
- Run bug bounty intake, validate external reports against source, coordinate with audit partners, and scope internal assessments
SECURE SDLC & INFRASTRUCTURE
- Tune and extend SAST, dependency, secrets, and container scanning in CI/CD so engineers trust the signal
- Review IAM, network controls, encryption, and secrets management across our cloud environments, including API key ownership, permissions, and rotation
- Assess what internal AI tools, MCP integrations, and agents can reach in production, and scope their access to what they need
- Define product security standards, review checklists, and developer guidance that scale with the team
YOU MIGHT BE RIGHT FOR THIS IF
- You’ve been the senior security partner to engineering leadership, and teams sought out your review instead of routing around it
- You find business logic, authorization, and race condition bugs by reading code, and you know where scanners go blind
- You use LLMs and agents to cover far more code than one person could, and you know where the models miss
- You rank findings by what an attacker could actually do with them, and your write-ups tell engineers exactly what to change
- You’ve worked where security failures carry direct financial impact: fintech, crypto, payments, or stablecoins
- You’ve built a security function early, when the process and tooling still needed to be defined
- You pick your battles, and engineers ship faster with you in the room
REQUIREMENTS
- 8+ years in product security, application security, or security engineering, built on a software engineering foundation
- Ownership of threat modeling and architecture review for complex financial or distributed systems, with the standing to shape design decisions
- A track record of finding critical, non-obvious vulnerabilities in large production codebases (TypeScript, Rust, Go, or Python), including through LLM and agent-based review workflows you built and ran
- Experience building and running a vulnerability management program or bug bounty end to end, including the CI/CD scanning that feeds it
- Deep expertise in IAM, secrets management, network controls, and container security on AWS or a comparable provider
- Strong written communication and the judgment to work independently
- Experience reviewing Solana programs (Rust/Anchor) or working at an audit firm, cryptography and key management (HSMs, MPC, PKI), offensive testing across web and mobile, red teaming AI systems, or supporting SOC 2 from the product side is a plus.
WHY THIS MIGHT BE INTERESTING
Most product security roles sit downstream of engineering, reviewing what’s already been decided. This one sits in the room. You’ll shape how a self-custody platform, a business account, a consumer app, and the infrastructure under all of them get built, across Solana programs and traditional backend services alike.
The stakes are concrete: a missed authorization check here moves money. You’ll work directly with our Head of Security and CTO, with the ownership to build the product security program while operating it.
Small team, high standards. Learn more about our core values here https://squads.xyz/company.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Director, Engineering
Location: Remote US, Only
Compensation:
$215,000 to $240,000 base plus bonus and equity
What You’ll Do:
Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. We’re hiring a Principal Software Engineer to head this effort.
This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry.
This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments in which attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person.
As the technical lead, you’ll own the system’s architecture and direction. That means deciding how an investigation is structured, where deterministic code ends and model reasoning begins, what the agent can and can’t touch, how we know it’s working, and which decisions it makes on its own as it proves itself. You’ll work closely with SOC analysts, detection engineers, product, and other engineering teams. You’ll go deep in the code and help the engineers around you grow. Your work will directly shape how Huntress scales
protection for the 99%
.
We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly.
Responsibilities:
Own the architecture of agentic investigation. You help define how signals move from detection into investigation, how investigation state is managed, how tools are designed and exposed to agents, and what a finished investigation contains: the verdict, the timeline, the scope, and the evidence behind every claim. When the team is stuck between options, you make the call, and the foundations you set are what others build on for years.
Build agents that investigate like a strong analyst. You work alongside our SOC and product researchers to learn how experienced analysts actually triage and investigate, then turn that into agent behavior: which questions to ask, which evidence to gather, when to dig deeper, and when to stop and hand off to a human.
Take toil off analysts’ plates. Beyond full investigations, you build LLM-powered pre-processing for the tools and data sources analysts rely on every day. It summarizes, correlates, and highlights what matters, so analysts spend their time on judgment instead of assembly.
Bring a security mindset to the agent itself. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You design as if someone is trying to manipulate it, because someone will. Trust boundaries, tenant isolation, and auditability are part of the architecture from the start.
Treat evaluation as a core part of the product. You define how we measure whether an investigation is correct, well-reasoned, and well-documented, and you make sure no prompt, model, or tool changes without evidence that it helps.
Decide with data what the system does on its own. Based on measured performance, you decide where it acts autonomously, where a person reviews its work, and how that changes over time. You also recognize when a problem doesn’t need an agent at all.
Build for production, not for demos. You design for reliability, latency, and cost at scale. The system keeps working when models are slow, wrong, unavailable, or quietly changed underneath you, and anyone can trace exactly why an investigation reached its conclusion or why an action was taken.
Augment analysts, don’t replace them. You design the handoff between agent and analyst so that when a case reaches a person, the agent’s work makes them faster and better informed. You consider how analysts’ work changes as agents take on more of it, and how we explain agent decisions to partners and customers in a way they can trust.
Prototype your way through hard problems. When the team hits something genuinely uncertain, you dig in first: derisk it, prove out the approach, then hand it off clearly.
Be the engineering face of the Agentic SOC. In conversations with SOC leadership, other engineering teams, product, and executives, you represent the team’s technical perspective clearly and credibly. You drive alignment on key decisions, carry context in both directions, and protect the team from unclear scope.
Balance technical rigor with pragmatism. You push back when a shortcut creates real risk, and you also push back on over-engineering when the goal is discovery. You have a bias for action and frequent feedback from analysts and customers, and you can explain your tradeoffs to engineers and non-engineers alike.
Raise the floor and the ceiling. Your technical leadership is measured by how the whole team performs, not just by what you personally ship. That shows up in thoughtful code review, pairing on problems others are stuck on, and creating leverage through better patterns, tooling, and shared understanding. You partner with the engineering manager on team health, give direct feedback, and model the judgment and accountability you want the team to have.
What You Bring To The Team:
15+ years of experience developing complex software products, including significant time as the technical lead on production systems
Hands-on experience designing, shipping, and operating LLM-based agents in production, covering tool use, context management, structured output, guardrails, and evaluation, along with a clear-eyed understanding of how they fail
A track record of building evaluation for non-deterministic systems, such as labeled datasets, offline evals, and regression gates, and of measuring quality over time rather than at launch
A security mindset: experience building systems that handle untrusted input, enforce multi-tenant isolation, and produce an audit trail that holds up under scrutiny
Experience building systems that make automated decisions with real consequences, and the judgment to know what to automate and what to leave to people
Curiosity about how security analysts think and work, and a willingness to spend real time learning from them
Deep backend expertise in distributed systems, queues, and durable workflows, and concurrency, with a track record of designing for throughput and correctness under load
Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails, and we expect you to become fluent in it
Experience with AWS, Azure, or other public cloud environments, and with data stores such as Postgres and Redis
Experience with AI coding tools, such as Claude Code
BS or MS in Computer Science or Engineering, or equivalent experience
Bonus Points:
Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate
Familiarity with endpoint and identity telemetry and with attacker tradecraft
Experience attacking or adversarially testing ML or LLM systems
Experience with Ruby on Rails
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran + dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a
Senior Staff Systems Engineer, Data and Integrations
to join our Systems Engineering team and set the technical direction for the data that runs Fivetran's business. In this role, you will own the data architecture behind our marketing, sales, billing, and product operations: the canonical data models, the contracts between systems, and the pipelines and transformations that move data reliably between them. You will lead our largest and most consequential data initiatives, such as system migrations, org consolidations, and re-platforming of core integrations, from design through validation and cutover.
This position sits at the crossroads of data engineering, data modeling, and business process. You will partner closely with our Systems, Analytics, and Engineering teams, as well as Marketing, Revenue Operations, Accounting, Product Operations, and other business partner teams, and you will mentor the engineers who build within the standards you set.
This is a full-time position based out of our Oakland, California office.
Technologies You’ll Use
Our core systems are Salesforce, Netsuite, Coupa, Workday, and Zendesk, with BigQuery as our data warehouse. Our current integration stack includes Celigo and Fivetran itself. You should be an expert in SQL and strong in a general purpose programming language such as Python or TypeScript, and comfortable evaluating and adopting new tools when necessary.
A data engineering background is required, with expertise in data modeling, ETL/ELT development, data quality testing, and data validation at scale. Experience with dbt or a similar transformation framework, and with API-based and event-driven integration patterns, is preferred. Help us bring established data engineering practices to internal business systems, and define what those practices should be here.
What You’ll Do
Data Architecture and Standards
Own the canonical data models for Fivetran's marketing, sales, billing, and product operations integrations, and define how business concepts map to data across our core systems.
Define team-wide standards for data modeling, data quality, testing, governance, and documentation, and drive their adoption across Systems Engineering and partner teams.
Contribute to the design of integration architecture, establishing guidance for when to use batch, real-time, and event-driven data movement.
Delivery of Complex Initiatives
Lead the design and execution of our most complex data initiatives, including bulk migrations, system consolidations, and re-implementation of core integrations, from target-state design through validation, cutover, and stabilization.
Build, review, and ship the SQL and Python transformations and pipelines behind these initiatives, setting the bar for code quality on the team.
Design the validation and reconciliation approach for migrations and pipeline changes, and sign off with stakeholders that record counts, values, and business rules reconcile.
Reliability and Observability
Design the monitoring, alerting, and data quality framework that gives end-to-end visibility into data freshness and accuracy across systems, and define the KPIs used to measure integration and data health.
Lead root cause analysis on the most complex cross-system data issues, and drive the systemic fixes that prevent recurrence.
Business Partnership Technical Leadership
Translate ambiguous requirements from cross-functional business partners into data models and technical designs, and drive alignment across teams with competing priorities.
Serve as the technical lead and subject matter expert for business data within the Systems Engineering team.
Mentor other engineers and review their designs and code, raising the team's proficiency in data modeling, testing, and pipeline design.
Write and maintain design documents and data flow documentation for current and target state, so decisions are legible to the team and to partners.
Skills We’re Looking For
10+ years of experience in Data Engineering, Analytics Engineering, or a similar role, with a deep focus on modeling and transforming business data and a track record of technical leadership on complex, multi-team initiatives.
Expert SQL proficiency, including complex transformations, performance tuning, and large-scale data reconciliation.
Strong proficiency in a general purpose programming language such as Python or TypeScript, with experience building production-grade, tested data pipelines.
Hands-on experience with business systems data models such as those for Salesforce, NetSuite, Coupa, Workday, or Zendesk, including a data migration, org merge, or major re-implementation.
Demonstrated experience designing and delivering large-scale ETL/ELT solutions and the data quality, validation, and governance frameworks around them.
Ability to evaluate trade-offs between short-term delivery and long-term data architecture health, and to communicate those decisions clearly.
Ability to lead through influence, driving alignment across technical and non-technical stakeholders without direct authority.
Bonus Skills
Experience with dbt or a similar transformation framework.
Hands-on experience with iPaaS platforms such as Celigo, Workato, or Boomi, and with reverse ETL tools, including experience choosing between them.
Experience with cloud platforms such as AWS or GCP, infrastructure as code, and CI/CD for data pipelines.
Familiarity with AI/ML capabilities to augment data quality, matching, and automation.
By stepping into this role, you will define how Fivetran's + dbt Labs business data is modeled, governed, and moved, and lead the initiatives that make it scale.
#LI-HYBRID #LI-VA1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$202,787
—
$253,483.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead, you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments.
In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure, as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams.
This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams.
WHAT YOU’LL DO:
CLOUD SECURITY ENGINEERING
- Lead configuration hardening across GCP, with additional oversight of workloads and integrations running in AWS and Azure.
- Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows.
- Secure critical SaaS platforms, ensuring proper configurations, access controls, and engineering integrations.
- Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services.
- Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity.
- Assess secure logging configurations across cloud/SaaS providers, ensuring audit logs, retention, and routing meet monitoring and architecture needs.
SECURE DEVELOPMENT & ARCHITECTURE ENABLEMENT
- Partner with engineering teams to make services secure by default, embedding security into development workflows, CI/CD pipelines, and cloud-native deployments.
CROSS-FUNCTIONAL RESPONSIBILITIES
- Collaborate with Security Monitoring, Compliance/GRC, Architecture, DevOps, Platform Engineering, and ML Infrastructure.
- Participate in communicating security advisories, best practices, and updates to Replit’s customers.
- Support incident investigations as a cloud security subject-matter expert.
REQUIRED SKILLS & EXPERIENCE:
- 7+ years of experience in cloud engineering, with 3+ years in a senior or lead role.
- Hands-on experience with CSPM tools (Wiz, Lacework, Prisma, Orca, SCC, etc.).
- Deep expertise in GCP security (IAM, VPC, KMS, GKE, Cloud Logging).
- Experience securing and governing SaaS platforms and identity integrations.
- Operational experience with infrastructure vulnerability management across cloud and container environments.
- Working knowledge of AWS and/or Azure security services and configurations.
- Experience with container and Kubernetes security across GKE, EKS, or AKS.
- Strong IaC security experience with Terraform, Pulumi, or similar tooling.
- Familiarity with compliance standards (SOC 2, ISO 27001, PCI DSS).
PREFERRED QUALIFICATIONS:
- Experience supporting engineering teams in building secure-first, cloud-native or PaaS environments.
- Background securing AI/ML pipelines, model-serving infrastructure, or developer platform services.
- Experience in high-growth technology or cloud-native product companies.
- Experience with securing AI/agentic systems and sensitive data pipelines.
- Automation/scripting with Python.
- Relevant certifications (e.g., GCP Professional Cloud Security Engineer, AWS/Azure security certs).
WHAT WE VALUE:
- Problem-solving mindset — Ability to break down complex security and operational challenges into clear engineering solutions.
- Autonomy — Comfortable leading initiatives, collaborating effectively, and driving outcomes with minimal oversight.
- Communication excellence — Able to translate deep technical concepts for engineers, executives, and enterprise customers.
- Continuous learning — Passion for staying current with AI security, cloud-native advances, and emerging threats.
- Automation-first approach — Belief in reducing operational toil and building scalable, self-healing systems.
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
The Data team at WorkOS plays a central role on the company operations to ensure information and insights are accurate and available from any surface, whether that's a visualization tool or an agent's response, to accelerate company growth and scale. The team owns WorkOS's internal data platform end to end: ingestion, orchestration, the Snowflake warehouse, dbt transformations, governance and access controls. We also own the consumption layer: the reverse-ETL syncs that land data in Salesforce and Slack, the semantic views that agents query, the definitions that keep reporting consistent across the company, and the visualization tooling the company uses (ask us about Flashboards https://workos.com/blog/reporting-tool-with-no-editor).
We run on an agent-first operating system: we are a lean team that moves fast, we document so agents can execute, and AI agents query the warehouse, run our runbooks, and open pull requests alongside us. We trust each other's expertise, we work out loud and in the open, and not opposed to rapid experimentation to get to the right solution for the business.
We're hiring a Data Engineer to own and evolve the systems that move, transform, protect, and serve data across our internal warehouse. This is a high-ownership role on a lean team: you will be the DRI for the platform and its core data models, partner directly with Product Engineering, RevOps, Finance, GTM Engineering, and Security, and raise the bar on reliability, correctness, and operational rigor. The role spans the platform and what runs on it. You will own ingestion, orchestration, and access governance; the dbt models and metric definitions that depend on them; and how AI is applied across the data stack, so that trusted data is easy for both people and AI agents to discover, understand, and work with.
You don't need to have done this exact job before. The best data engineers at WorkOS are the ones who notice in a Slack thread that a number doesn't match, trace it from the dashboard through the Gold model to the connector, fix the connector, and confirm the definition with its owner before the weekly review. When a business team asks for a field in Salesforce, they don't hand it off; they build the model, write the sync, and add the test. They would rather automate the runbook than run it a third time. They enjoy collaboration with different parts of the business and can find simple, scalable solutions to ambiguous problems. If that sounds like how you work, we want to talk.
RESPONSIBILITIES
- Own the reliability, freshness, and scaling of the ingestion and orchestration pipelines that land source data in Snowflake, including monitoring, alerting, runbooks, and backfill and reprocessing patterns
- Design, build, and scale the core dbt models (Bronze, Silver, Gold) for billing and usage, CRM, product events, and GTM funnel reporting
- Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse, and diagnose and resolve data quality and freshness issues at source, not just downstream
- Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts, so sensitive data is protected without blocking legitimate use, and review DDL and access requests from Engineering and GTM
- Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and internal agents
- Extend the semantic views, context, and evaluations that let agents answer business questions accurately, and expand what agents can operate directly, from runbooks and ingestion to pull requests
- Build and advance the CI/CD review gates in the data-platform monorepo, including the automated review that agent-authored pull requests pass through
- Own the infrastructure the data platform runs on: the compute, deployments, secrets and access patterns, and environments behind ingestion and orchestration, with attention to availability and failure modes, in partnership with our infrastructure engineers
Example problems you might work on, possible paths rather than a fixed roadmap:
- Standardizing how Postgres and SaaS sources are ingested, and consolidating end-to-end pipeline deployment and orchestration in Prefect
- Managing Snowflake RBAC, resource management, and masking policies as code with Terraform
- Using query history to improve analytics tables and semantic views, and to keep agent answers accurate and consistent as data grows and metrics shift
- Automating masking coverage as new data sources arrive, so adding a new table no longer needs a human in the loop
- Automating near-certain matches in the Identity Graph
- Pseudonymizing product data in the ingestion path, alongside compliance and data-deletion policies
- Extending transcript aggregation across sources, including PII detection before transcripts enter the warehouse
- Building the reverse-ETL framework and runbooks that deliver data to other tooling and agents
- Running self-hosted data services on Kubernetes and managing their AWS resources (IAM, storage, secrets) as code with Terraform
QUALIFICATIONS
- 5+ years (or equivalent) building and operating production data platforms, including the transformation layer
- Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster, and with ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns
- Experience running data systems in production: monitoring, alerting, debugging, incident response habits, and pragmatic SLO/SLA thinking
- Experience with warehouse access governance: RBAC, masking policies, and PII handling
- Strong data modeling judgment and an understanding of schema evolution
- Strong SQL and Python; disciplined engineering practices (tests, docs, reviews, CI/CD)
- Proven experience operating as the only engineer on a layer, balancing foundational architecture with urgent business needs
- Working knowledge of how GTM, Finance, and Product teams operate in addition to working with Engineering, and experience translating ambiguous business questions into technical specs
- Comfortable using LLMs and coding agents as part of your day-to-day development workflow, with the judgment to validate their output and scale it into shared processes, and embracing AI and automation to scale platform work and accelerate your teammates
- A systems thinker who reasons carefully about freshness, correctness, and failure modes, especially for data that everything else depends on
- Pragmatic: you start with the simplest solution that works, prove it, then scale it, and you balance fast answers with durable solutions
- You look for where AI can remove a bottleneck for the people and agents who depend on the warehouse, and you build the durable tools and workflows they rely on every day
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Remote, Global
Workplace: Remote
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We're looking for a Postgres Deployment Engineer to join our team and elevate our PostgreSQL offerings.
You'll work hand-in-hand with the PostgreSQL team and play an instrumental role in technical decision-making and refining internal methodologies.
The focus of this role is around owning stability and deployment of our products. This role involves ongoing contribution and co-responsibility for builds/deployments via our public supabase/postgres GitHub repository. This repository bundles an array of features/products into docker images and AWS AMIs, giving users the ability to run Supabase on our cloud and locally. This role will function has developed as a bridge between product and infrastructure teams to improve the reliability of product deployments and upgrades.
In this role, your primary responsibilities will include:
- Packaging software into our supabase/postgres https://github.com/supabase/postgres repo to using either nix language with flakes, or debian packaging depending on our required target
- Supporting the expansion of knowledge in Supabase toward our platform release system so that developers can self service more and more over time.
- Expanding on our github actions, our team tooling, and our testing/release approaches
- Timely PostgreSQL major, minor, and extension upgrades.
- Engaging in proactive identification and resolution of production issues in customer deployments.
- Contributing to the creation/maintaining of best practices, tools, and tests to ensure enhanced stability and decreased deployment risks over time.
What we need
This role demands the following pivotal qualities:
1. PostgreSQL Expert: A profound understanding of PostgreSQL and its associated tools. Familiarity with extensions, performance optimization, and best practices is essential.
2. Infrastructure: Proven expertise in infrastructure management, tooling, and optimization.
3. Self-directed & Initiative: At Supabase, we value independence and proactive problem-solving. We anticipate you to be a dynamic self-starter, thriving in asynchronous collaboration across diverse teams. Your knack for spotting areas of improvement and commitment to realizing those enhancements will be key.
What you’ll do
- Improve the utility and efficiency of our PostgreSQL offerings.
- Work with relevant teams to understand the issues around postgres stability, and apply those insights to the build/test/deploy AMI and Docker releases.
- Contribute to the enhancement of our public GitHub repositories, especially supabase/postgres https://github.com/supabase/postgres.
- Develop and expand tooling and solutions within the Supabase ecosystem.
- Engage with customers routinely, ensuring our solutions resonate with their needs.
- Address and resolve GitHub and Support issues.
Must haves
- 3+ years experience with PostgreSQL and its ecosystem.
- Knowledge of ansible, Nix package management system (including nix flakes), packer, docker, qemu/kvm, aws, and kubernetes deployments is essential. Need experience with linux and darwin/macos aarch64 targets, as we maintain ability to build for both architectures
- Must have experience with conventional and nix-packaged builds of C/C++, Go, javascript, and Rust based projects
- Exposure to public cloud platforms and deployment methodologies.
- Eagerness to improve and expand our development tools/stack.
- Comfortable with regular interactions with customers
- Willingness to work on an “integrated” system and approach to packaging. For many reasons, we cannot apply nix packaging to every component in our stack, nor can we just adopt Nixos in production. We have successfully laid the foundation for integrating conventional and Nix-based systems, with carefully validated choices including using flakes, etc. So, you must be willing to work within and help optimize this paradigm toward our platform development.
- Must be willing to take on co-responsibility for teaching our engineering team to learn, use and contribute to our Nix-based work, and help troubleshoot and solve issues around the whole platform/postgres stack.
Nice to haves
- Experience with PostgREST, gotrue/supabase auth, and other Supabase stack components.
- Contributions to significant, open-source projects in the PostgreSQL domain.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Intellias is a software development and consulting company that helps businesses build digital solutions.
Stack includes Node.js, NestJS, TypeScript, MongoDB, PostgreSQL, Kafka, RabbitMQ, React, AWS.
Work format: Remote work or on-site in Kraków, Warsaw, Wrocław or Łódź, Poland.
Location: San Francisco, CA
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 Role
We are looking for a SOX Director - Compute and Infrastructure to join our Internal Audit team at Anthropic. In this role, you will lead financial risk assessment and internal control design over compute and infrastructure. This is Anthropic's largest cost and one of the most complex areas of our financial reporting. You'll focus on cloud spend, usage-based costs, vendor commitments, accruals, and cost allocation, as we scale rapidly toward an IPO.
This is a unique opportunity to build SOX controls at an AI-first company, in a domain where few established playbooks exist. Compute is purchased under multi-year agreements with multiple providers, metered in third-party environments, accrued from internal telemetry, and increasingly provisioned and scheduled by automated systems and agents. You will help define how controls work in that environment for both business and IT environments, from reliance on service providers to full-population monitoring of high-volume usage data, while maintaining the rigor required for public company compliance.
As the SOX Director, Compute and Infrastructure, you will own scoping, control design, testing, remediation, and reporting for compute and infrastructure processes, partnering directly with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Finance & Strategy, and Procurement to design scalable controls, oversee documentation, and support communication with external auditors. This role reports to the Head of Business Controls and plays a critical part in strengthening internal control maturity through pre-IPO readiness and beyond.
Key responsibilities
Lead financial risk and internal control design for compute and infrastructure accounting, including cloud spend, usage-based costs, vendor commitments, credits, refunds, accruals, cost allocation, budgeting, and asset lifecycle management
Develop and execute the SOX control plan and roadmap for compute and infrastructure, making defensible prioritization calls on what must be controlled now and what can follow
Own scoping, risk assessment, walkthroughs, testing, remediation, and reporting activities for compute and infrastructure processes
Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness
Pioneer the use of AI and automation to enhance control effectiveness, including full-population matching of usage to invoices, continuous monitoring, and anomaly detection
Design, implement, and monitor controls over the completeness, accuracy, and cutoff of compute cost, including monthly accruals built from internal workload telemetry and the true-up to provider invoices
Establish controls over multi-year provider agreements, including reserved capacity, minimum spend commitments, usage-based charges, signing credits, service-level credits, refunds, and billing corrections
Design and test controls over the allocation of compute cost between cost of revenue and research and development, including workload tagging, shared clusters, and changes to tagging logic or allocation models
Establish the investigation threshold and variance criteria used in the control design to ensure the precision needed to detect a material misstatement
Design and test controls over infrastructure related control inclusive of development of an asset lifecycle management system
Oversee control documentation and ensure audit-ready evidence is maintained for all compute and infrastructure processes, in compliance with US GAAP and SEC reporting requirements
Own control requirements across high-volume financial data pipelines, partnering with Finance Analytics &BI, Finance & Strategy, and Accounting to validate completeness, accuracy, classification, general-ledger mapping, key reports, and monthly close governance
Own the identification and control treatment of key reports and Information Produced by the Entity (IPE) used in compute accruals, allocation, and the close
Partner with IT SOX and engineering teams on the IT general controls and automated controls that support compute data, including interface, ITAC’s, and change management over pipelines and models
Embed control requirements into new systems, pipelines, and process changes at design time
Lead the assessment of reliance on cloud providers that meter and bill compute, including review of SOC 1 reports, scope and period coverage, bridge letters, and exceptions or qualified opinions
Define and monitor complementary user entity controls, and design alternative procedures where a provider report is missing, does not cover the relevant system or period, or includes exceptions
Assess how the use of AI in Finance and in the close changes what controls need to cover, and update the control environment accordingly
Partner with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Procurement, and Finance & Strategy to implement scalable controls over compute and infrastructure
Work with the Compute Controller and Chief Accounting Officer organizations to align control priorities with business objectives
Train and enable process owners and control performers, many of whom are new to SOX, on control execution, evidence retention, and what audit-ready means
Support management's assessment of internal controls over financial reporting (ICFR) and related disclosures
Serve as the primary point of contact for external auditors on compute and infrastructure SOX matters
Prepare the Company's formal positions on control design, provider reliance, and deficiency evaluation for compute and infrastructure
Manage audit requests, coordinate testing schedules, and facilitate walkthroughs across compute and infrastructure processes
Track and report on control status, testing results, and remediation to leadership
Drive alignment with external auditors on testing approaches, reliance strategies, and deficiency evaluation and aggregation assessment
Minimum qualifications
Have designed controls over cloud, compute, or infrastructure cost, or over a comparable high-volume, usage-based process, and understand control objectives, IPE, and sufficiency of audit evidence
Have proven ability to establish or scale SOX controls at newly public or pre-IPO companies
Possess deep understanding of compute accruals, vendor commitments, cost allocation, financial close, and US GAAP requirements
Have experience evaluating service organization reports (SOC 1 and SOC 2) and complementary user entity controls
Are comfortable working with large datasets and data pipelines, and partnering with data science and engineering teams
Can structure ambiguous control problems and influence across stakeholders without direct authority
Have strong project management, analytical, and communication skills
Hold a Bachelor's degree in Accounting, Finance, Business Administration, IT/Engineering
Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI
Preferred qualifications
Have 12+ years of hands-on SOX, internal audit, or internal controls experience, preferably in both Big 4 and in-house roles at a fast-paced technology company
CPA (or similar certification) and/ or CISA
Familiarity with cloud provider billing and commitment structures (AWS, GCP, Azure)
SQL and comfort working directly with usage, telemetry, and cost data to validate what the systems are telling you
Experience with controls over cost of revenue, gross margin reporting, and allocation methodologies
Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes
Understanding of lease accounting (ASC 842) and other accounting standards relevant to infrastructure and capacity arrangements
Experience working at a high-growth AI or technology company
Familiarity with financial data governance, internal controls over financial reporting (ICFR), and SEC disclosure requirements
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.
Annual Salary:
$230,000
—
$300,000 USD
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Location: British Columbia
Workplace: Hybrid
Safe Software is looking for a Security Operations Team Lead to build and lead our security operations function. This is a new role, and the person in it will own the programs, processes, and people that make security operations work at Safe. We have an immediate opening and are excited to find the right candidate to join our team.
Reporting to the Director of Information Security, you'll take ownership of the programs on our roadmap — incident response, vulnerability and patch management, system hardening and configuration management, device trust and conditional access, and resiliency planning — and turn them from initiatives into durable, measurable practices. This is also a people-leadership role: you'll manage the Security Operations Engineers who deliver that work, starting with a small team and growing it as the function matures.
It's a leadership role, and a hands-on one. You'll stay close enough to the work to make good technical calls, carry a share of the on-call rotation, and be credible with the engineers you lead. We're looking for someone with a first stretch of leadership behind them who wants substantially more ownership than they've had so far, and the support to grow into it.
You'll also set the tone for how security shows up at Safe. Security only works when it feels like a partnership rather than an obstacle, and the best security operations leaders we've worked with treat other teams as partners with their own pressures and deadlines. That's the disposition we're hiring for.
ABOUT THE TEAM
Information Security at Safe protects the data, systems, and people behind FME and the 25,000+ enterprise customers who rely on it. We're a growing, high-trust team that partners closely with teams across Safe rather than operating as a separate gate.
We're at a genuinely interesting period of growth and opportunity: we're building programs, not just maintaining them. Incident response, resiliency planning, configuration management, and vulnerability management are all being stood up or significantly matured right now, and this role drives much of that work. This means real latitude to decide how security operations should work at Safe.
We also lean on AI and automation to cut toil, sharpen investigations, and move faster. Part of this role is setting both the expectation and the guardrails for how the team experiments with them.
WHAT YOU'LL BE DOING
As the Security Operations Team Lead, you will:
- Build and lead the security operations team, including hiring, onboarding, coaching, performance, and career development. You'll set the bar for how the team works, then grow the team as the function scales.
- Own the incident response program end to end — the process, the runbooks, the on-call rotation, the tabletop exercises, and the post-incident reviews. You'll act as incident commander for significant events, carry a share of the on-call rotation, and make sure every incident makes the next one easier.
- Own the security operations roadmap and its delivery, translating strategy into prioritized, resourced work with clear outcomes, and reporting on progress, risk, and where you need help.
- Drive programs and processes to maturity — automated patch management, CIS benchmark adoption for system hardening and configuration management, device trust and conditional access, vulnerability management with meaningful SLAs, and resiliency planning.
- Set the technical direction for our security tooling, ensuring Rapid7 InsightVM (vulnerability management) and InsightIDR (SIEM), Cisco Secure Endpoint (EDR), Cisco Umbrella, Active Directory, JumpCloud, Google Workspace, and AWS security controls are configured, tuned, and delivering real detection value rather than noise.
- Define and track the metrics that matter — detection and response times, remediation SLAs, hardening and patch coverage, alert quality — and make sure they drive decisions instead of decorating a dashboard.
- Champion AI and automation across the team's workflows, piloting and standardizing tools that reduce toil and sharpen investigations, and establishing sensible guardrails for how AI is used in security work.
- Own Security Operations' contribution to compliance, operating and evidencing controls for ISO 27001, SOC 2, and future frameworks, and building processes where audit evidence falls out of the day-to-day work instead of becoming a fire drill.
- Partner with IT and teams across Safe to embed security into how work already gets done, delivering findings constructively and building the kind of trust that gets people calling you early.
- Represent Security Operations to leadership, communicating risk, incidents, and program status clearly to both technical and non-technical audiences.
QUALIFICATIONS, SKILLS, AND COMPETENCIES
Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas.
REQUIRED SKILLS:
- 5+ years in security operations, incident response, or a closely related security engineering discipline, including 1–2 years leading a team — as a manager, team lead, or technical lead with formal ownership of others' work.
- Meaningful ownership of a security program — incident response, vulnerability management, hardening, or similar — that you helped take from immature to reliably operating.
- Deep hands-on SIEM and EDR experience: building and tuning detections, running investigations, and improving signal-to-noise over time.
- Strong incident response background, including leading or coordinating response for significant incidents, running post-incident reviews, and maintaining runbooks that reflect reality. Familiarity with MITRE ATT&CK.
- Practical experience with vulnerability and patch management at scale, and with hardening and configuration management against a recognized standard such as the CIS Benchmarks.
- Solid network security knowledge, including protocols and architecture, and how to secure both on-premises and cloud environments.
- Solid cloud security knowledge, ideally AWS: IAM, logging, network controls, and posture management, plus experience securing and administering a cloud productivity suite such as Google Workspace.
- Working knowledge of identity and access: SSO, MFA, conditional access, device trust, and least-privilege design.
- Experience supporting or operating controls for ISO 27001, SOC 2, or comparable frameworks, and comfort with the evidence and audit side of the work.
- Excellent written and verbal communication, including the ability to explain risk and incidents clearly to leadership and to deliver difficult findings constructively.
DESIRED SKILLS / BONUS POINTS:
- Direct experience with our stack: Rapid7 InsightVM and InsightIDR, Google Workspace security and admin, Active Directory, AWS, Cisco Umbrella, and Cisco Secure Endpoint.
- Experience standing up or significantly maturing an incident response program, including on-call design and tabletop exercises.
- Demonstrated experience building AI or automation into security operations, and a point of view on how to do it safely.
- Experience with business continuity, disaster recovery, or resiliency planning.
- Experience hiring, growing, and developing a technical team from a small base.
- Scripting or development skills (Python, PowerShell, or similar) sufficient to build and review automation.
- Relevant certifications or a plan to complete certifications such as CISSP, CISM, GIAC, or equivalent.
- A Bachelor's degree in Information Technology, Cybersecurity, Computer Science, or a related field.
If you don't meet every single qualification but are excited about this role, we'd still love to hear from you.
WHAT YOU CAN EXPECT
When you choose a career with Safe Software, you're also choosing…
- Meaningful Work: Make a profound impact across our business, workplace and data integration product.
- A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support.
- Social Responsibility: Become part of a team that finds meaningful ways to give back. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives.
- Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe.
- Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to.
- Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year.
- Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That's right, no waiting period.
- Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption.
- Shared Success: Share in Safe's success with our bi-annual profit sharing and RRSP/TFSA matching program.
- An Accessible Commute: Regardless of your commute method, we're located close to public transit, and provide complimentary parking and bike storage for our team!
ABOUT SAFE SOFTWARE
Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity.
With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads.
Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team?
OUR COMMITMENT TO DIVERSITY AND INCLUSION
Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion.
We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status.
Should you require accommodations during the recruitment process, please contact hr_dept@safe.com.
NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING
At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role.
Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.
ГибридСтажёрIasi Office; Berlin Office
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorJakarta, Indonesia; Bandung, Indonesia; Surabaya, Indonesia
United States of America
УдалённоseniorRemote | North America or Europe
United States of America
seniorOakland, California, United States, AMER
ГибридleadСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
Автоотклики