Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview:
We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions.
This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked.
Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity.
The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways.
What you'll be doing:
Organizational Leadership
Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning.
Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy.
Own the organization's budget, vendor relationships, and contractor or offshore capacity.
Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc.
Analytics Engineering and Data Architecture
Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications.
Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code.
Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed.
Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths.
Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns.
Data Governance, Metadata, and Lineage
Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform.
Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation.
Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance.
Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets.
Enterprise Reporting and Data Visualization
Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management.
Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented.
Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources.
Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content.
Advanced, Proactive, and AI-Enabled Analytics
Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses.
Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted.
Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds.
Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal.
Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work.
Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time.
Cross-Functional Partnership, Intake, and Prioritization
Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management.
Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments.
Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction.
Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions.
What we're looking for:
Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered.
15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers.
Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise.
Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt.
Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD.
Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management.
Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica.
Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability.
Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption.
Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting.
Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization.
Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities.
Experience managing budget, vendor contracts, and platform licensing.
Preferred Skills:
Master's degree or MBA in a related field.
Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks.
Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases.
Hands-on experience with Atlan, Domo, and Tableau specifically.
Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts.
Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management.
Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts.
Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus.
Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models.
Track record leading a major platform migration, consolidation, or reporting rationalization effort.
Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences.
This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience.
This is a full-time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Build and evolve the shared data platform that powers analytics, Data Science, and data-driven product development at Figma
Make data development faster and easier by improving local development, testing, CI/CD, staging, and deployment workflows
Create self-service tools and clear paths for teams to build, deploy, and operate reliable data pipelines
Improve the reliability of critical data systems through better monitoring, data quality, incident response, upgrades, and performance management
Make trusted data easier to find and use by establishing clear definitions, ownership, lineage, and reliability expectations
Partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and supported patterns for batch, micro-batch, reverse ETL, and product-facing delivery
We’d love to hear from you if you have:
5+ years of experience building and operating production data platforms, developer infrastructure, or distributed systems
Strong software engineering skills (Python or similar), with experience designing reliable and scalable systems
Experience improving developer workflows such as local development, testing, CI/CD, orchestration, or deployment
Experience with modern data infrastructure, such as cloud data warehouses, transformation frameworks, workflow orchestrators, infrastructure as code, and observability tools
A track record of owning shared systems end to end, leading ambiguous cross-functional projects, and communicating effectively with Data Science, Infrastructure, and Product Engineering partners
While it’s not required, it’s an added plus if you also have:
Experience supporting ML or research data workflows
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Требуется специалист на позицию SDET / QA Automation Architect (Framework & Tooling) в компании YADRO.
Вакансия открыта в городах: Москва, Санкт-Петербург, Нижний Новгород. Возможна удалённая работа.
Требуемые навыки:
— senior уровень
— Linux
— Python
— Pytest
— Asyncio
— FastAPI
УдалённоseniorМосква
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.
Задачи:
— Анализ клиентского опыта на разных стадиях взаимодействия с продуктом, исследование реальных болей клиентов.
— Разработка системы мониторинга ключевых метрик, масштабирование системы на новые продукты, создание дашбордов для приоритизации задач.
— Внедрение AI-агентов в процессы поддержки: сбор требований, формализация сценариев, анализ эффективности, поиск новых точек роста.
— Проведение А/B-тестов и развитие культуры A/B-тестирования: разработка дизайна, запуск, глубокий анализ результатов для оценки влияния на бизнес-показатели.
Требования:
— Хорошее знание математики и методов статистического анализа.
— Уверенное написание аналитического кода на SQL и Python.
— Опыт работы с LLM.
— Уверенное владение BI-инструментами.
Условия:
— Корпоративная подписка на чекапы, спорт, терапию, образовательные курсы и другие бонусы в Яндексе.
О компании и роли
Продуктовая mobile game-компания с многомиллионной аудиторией и сильной рекламной моделью монетизации.
Ищем Lead Data Scientist, который будет развивать ML-решения для рекламной монетизации, персонализации и рекомендаций, а также вести и менторить Data Science-команду.
Почему стоит рассмотреть
• Влияние на ключевые продуктовые метрики: ad revenue, engagement, retention и LTV
• Большие объёмы behavioral data и реальные production ML-задачи
• Возможность влиять на Data Science roadmap, технические решения и развитие команды
• Работа на стыке Data Science, Product, Engineering и Ad Monetization
Важно
• 5+ лет опыта в Data Science, желательно в consumer / mobile-продуктах
• Обязателен опыт в advertising monetization, revenue optimization или advertising analytics
• Опыт с recommendation, personalization или ranking systems
• Сильный Python и SQL
• Опыт с ML-моделями, A/B-тестированием и applied statistics
• Опыт работы с большими behavioral datasets
• Опыт технического лидерства или менторинга Data Scientists
Задачи:
— Защищать серверы, сети, облачную инфраструктуру и веб-сервисы.
— Выстраивать Zero Trust и безопасный доступ к внутренним системам.
— Выявлять угрозы, расследовать инциденты и устранять уязвимости.
— Работать над архитектурой безопасности вместе с DevOps и разработчиками.
Требования:
— От 3 лет в кибербезопасности и администрировании Zero Trust.
— Практический опыт ZTNA — обязателен: Cloudflare Zero Trust, Teleport, Tailscale, CyberArk или аналоги.
— Уверенный Linux, понимание сетей, TLS, VPN и сегментации.
— Опыт с WAF, SIEM, IDS/IPS, управлением уязвимостями и расследованием инцидентов.
— Знание OWASP Top 10, принципов управления доступом и безопасности Docker; Bash или Python для автоматизации.
Условия:
— Официальное трудоустройство.
— Комфортный офис в Пафосе.
— Сильная техническая команда.
— Возможность влиять на архитектуру безопасности.
— Рассматриваются кандидаты, которые уже на Кипре или готовы переехать для работы в офисе.
В рамках данной позиции необходимо разрабатывать и внедрять механизмы изоляции и контроля для агентных систем, включая создание песочниц для выполнения инструментов, строгую изоляцию контуров, установку лимитов на действия и реализацию функции аварийного отключения агентов. В задачи входит настройка детального аудита логов действий агентов в продакшене, а также разработка и настройка системы мониторинга аномального поведения с оповещениями о подозрительных паттернах. Требуется проводить моделирование угроз и threat modeling для новых сценариев агентов на этапе проектирования, а также разрабатывать архитектурные решения и фильтры для защиты от атак на LLM, таких как prompt injection, data exfiltration и jailbreak, включая внедрение строгой валидации выходных данных агентов. Необходимо организовывать и проводить атаки на собственные агентные системы для выявления уязвимостей до их эксплуатации злоумышленниками, а также проводить аудит безопасности агентных пайплайнов от команды LLM-инженеров до продакшен-выкатки. Контроль исходящих данных включает обеспечение соблюдения политик по использованию данных и инвентаризацию всех потоков информации, направляемой во внешние LLM-провайдеры. Важной частью работы является настройка IAM и управление секретами, проектирование и внедрение ролевой модели доступа для агентов, определение прав доступа и безопасное хранение с ротацией секретов. Также требуется опыт использования сканеров исходного кода (SAST/DAST), включая подбор, пилотирование, установку, администрирование и интеграцию в CI/CD-конвейер, а также помощь разработчикам в расшифровке результатов и устранении уязвимостей. Кандидат должен уверенно владеть Python, иметь глубокие знания Docker и Linux, а также понимание принципов работы CI/CD. Необходим практический опыт threat modeling, работа с системами управления секретами (например, HashiCorp Vault), внедрение IAM-моделей, настройка песочниц и изолированных окружений. Важно понимание работы LLM и агентных систем, опыт с фреймворками LangChain, LangGraph, MCP и знание принципов Claude Code. Кандидат должен быть готов не только проводить ревью кода, но и самостоятельно проектировать и создавать безопасных агентов.
Задачи:
— Проводить проверки приложений и сервисов на наличие уязвимостей (SAST, SCA, DAST, обнаружение секретов, фаззинг), готовить POC‑эксплуатации и понятные отчёты для команд;
— Проводить триаж уязвимостей: оценка риска и влияния, приоритизация, постановка задач на исправление, контроль сроков и качества устранения уязвимостей;
— Участвовать в проектировании: проводить моделирование угроз (например, STRIDE), ревью архитектуры по безопасности и дизайн‑решений, формулировать требования к аутентификации, авторизации, шифрованию и журналированию;
— Развивать SSDLC и DevSecOps: определять и внедрять контроли по безопасности на этапах требований, дизайна, разработки, тестирования и эксплуатации, настраивать гейты безопасности в GitLab CI/CD;
— Сопровождать и развивать AppSec‑инструменты: интеграция сканеров в конвейер разработки, настройка политик, исключений и отчётности, участие в выборе и пилотах новых решений;
— Участвовать в аудитах безопасности сервисов и разборах инцидентов: анализ причин, выработка устойчивых мер, предотвращающих повторное возникновение уязвимостей целого класса;
— Консультировать команды разработки и архитекторов по вопросам безопасной разработки, разбору и устранению уязвимостей, шаблонам безопасного кодирования;
— Проводить тренинги, воркшопы и семинары по AppSec (OWASP Top 10 / API Security, безопасная аутентификация и управление сессиями, защита API и интеграций и т.п.);
— Исследовать новые векторы атак и тренды в AppSec, предлагать улучшения процессов и инструментов.
Требования:
— Высшее техническое образование (желательно профильное ИБ или сопоставимый практический опыт в разработке/безопасности приложений);
— Опыт работы в роли инженера по безопасности приложений от 3 лет, участие в реальных проектах по защите веб‑ или API‑сервисов в продакшене;
— Практический опыт внедрения и эксплуатации инструментов: SAST, SCA, DAST, фаззинг, поиск секретов. Интеграция этих инструментов в CI/CD (желательно GitLab CI/CD);
— Опыт работы с Docker, Kubernetes, GitLab (или аналогичными системами контроля версий и CI/CD);
— Умение проводить ревью кода с фокусом на безопасность, давать разработчикам понятные и практичные рекомендации;
— Владение одним из языков программирования (Python / Go / Bash);
— Глубокое понимание причин возникновения и способов эксплуатации уязвимостей из OWASP Top 10 и OWASP API Security, а также практического устранения этих проблем;
— Навыки общения: умение объяснить сложные технические риски понятным языком, договариваться о приоритетах, конструктивно отстаивать позицию безопасности;
— Готовность брать ответственность за результат: от качества найденных уязвимостей до того, чтобы команда действительно внедрила устойчивое исправление, а не обходной костыль;
— Предпочтение отдаётся кандидатам, имеющим опыт работы в транзакционном бизнесе или платежных системах, с глубоким пониманием платёжных технологий и особенностей работы в сегментах B2B/B2G.
Задачи:
— Анализировать продуктовые метрики B2C-направления: воронки, retention, когорты пользователей
— Настраивать и поддерживать трекинг событий в Amplitude (или аналогичной системе)
— Считать unit-экономику продукта: LTV/CAC, конверсии, retention, а также финтех-специфичные метрики — GMV, payment success rate, показатели по транзакциям
— Строить и поддерживать дашборды для команды и стейкхолдеров (Superset / DataLens / Power BI)
— Настраивать real-time дашборды операционных метрик и алерты в Grafana
— Писать сложные SQL-запросы к PostgreSQL, оптимизировать их под нагрузку
— Обрабатывать и автоматизировать анализ данных на Python (pandas/numpy)
— Помогать выстраивать витрины данных и элементы ETL-процессов
Требования:
— SQL — PostgreSQL: оконные функции, CTE, оптимизация запросов
— Продуктовая аналитика — опыт работы с Amplitude или аналогами: воронки, retention, когорты, настройка событий
— Python — pandas/numpy для обработки данных и автоматизации
— BI-инструменты — опыт построения и поддержки дашбордов (Superset / DataLens / Power BI)
— Grafana — опыт настройки real-time дашбордов и алертов по операционным метрикам
— Понимание продуктовых и финансовых метрик: unit-экономика, LTV/CAC, конверсии, retention
— Понимание специфики fintech-метрик: GMV, payment success rate, транзакционные показатели
— Базовые знания статистики
Условия:
— официальное трудоустройство по ТК РК
— понятный онбординг и поддержка на старте
— обучение и развитие за счёт компании
— частичная компенсация занятий спортом
— корпоративные активности и мероприятия
— работа в офисе в Караганде или удалённо по всему Казахстану
Location: Guildford
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a DevOps Build Engineer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Design, develop, and maintain robust build pipelines for each platform
Monitor and continuously improve our automated build and CI systems
Partner with IT to scale and maintain build server infrastructure
Create and keep documentation of the build/release process up to date
Support the release manager during patch releases
Be a go-to resource for teammates when they need a hand
Requirements
2+ years of industry experience
Solid hands-on knowledge of Jenkins and CI/CD pipelines
Proficiency in a scripting language such as Ruby, Groovy, or Python
Experience automating workflows via shell/bash/cmd on Linux and/or Windows
Familiarity with version control systems like Git, Perforce, or SVN
Clear communication skills, written and spoken, in English
Comfortable collaborating with others and taking ownership of your work
Enthusiasm for experimenting, iterating, and refining features
Strong software design and problem-solving abilities
Nice To Haves
Experience with Ansible or similar configuration management tools
Familiarity automating C#/C++ builds (e.g., MSBuild, CMake)
Exposure to full-stack development
Background working in the games industry
What We Offer
An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with like-minded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Задачи:
— развивать ML-решения для рекламной монетизации, персонализации и рекомендаций
— вести и менторить Data Science-команду
Требования:
— 5+ лет опыта в Data Science, желательно в consumer mobile-продуктах
— опыт advertising monetization, revenue optimization или advertising analytics
— опыт разработки recommendation, personalization или ranking systems
— сильные Python и SQL
— практический опыт с ML: classification, regression, ranking, forecasting, predictive modeling
— понимание A/B-тестирования, applied statistics и работы с большими behavioral datasets
— опыт технического лидерства или менторинга Data Scientists
Условия:
— гибридный формат работы (удаленка с обязательным посещением офиса время от времени)
— работа в международной mobile game development-компании
— кросс-функциональная работа с Product, Engineering, Analytics и Ad Monetization
— возможность формировать Data Science-направление, roadmap и технические стандарты команды
— прямое влияние на рекламную выручку, engagement, retention и LTV продукта
Задачи:
– Разработка и оптимизация ETL-процессов с использованием Python и SQL.
– Разработка и внедрение масштабируемых конвейеров обработки данных для обработки различных источников данных.
– Работа с реляционными базами данных (например, PostgreSQL, Oracle) для обеспечения эффективного хранения и извлечения данных.
– Оптимизация SQL-запросов и скриптов Python для повышения производительности и удобства сопровождения.
– Внедрение надежной обработки ошибок, ведение журналов и мониторинг для конвейеров обработки данных.
– Взаимодействие с межфункциональными командами для интеграции и управления источниками данных.
Требования:
– Более 5 лет опыта в области проектирования данных.
– Навыки работы с Python и SQL на экспертном уровне – умение писать эффективный, масштабируемый и поддерживаемый код.
– Обширный опыт в проектировании ETL-процессов и работе с большими массивами данных.
– Глубокое понимание оптимизации производительности баз данных и оптимизации запросов.
– Опыт работы с моделированием данных и проектированием схем.
– Знание решений для облачного хранения данных (Azure, AWS или GCP).
– Высокие навыки решения проблем и способность работать самостоятельно.
– Желательно: опыт работы с PySpark, оркестраторами и знание CI/CD для автоматизации процесса развертывания.
Условия:
– Полностью удаленная позиция с гибкими условиями работы.
Neoai IT Center izlayapti mutaxassislarni bir nechta yo'nalishlarda: backend dasturlash (python, Django, Fastapi, Node.js, Express.js, Java, Spring Boot, PHP, Laravel, Rest API, Postgresql, Mysql, Mongodb, Git, Docker), frontend (HTML, CSS, JavaScript, TypeScript, React, Next.js, Vue.js, Angular, Tailwind CSS, Bootstrap, Git), mobil dasturlash (Dart, Flutter, Kotlin, Java, Swift, React Native, Firebase, Android Studio, Xcode, Git), UX/UI dizayn (Figma, Adobe XD, Photoshop, Illustrator, Figjam, UI Design, UX Research, Wireframing, Prototyping, Design System), kiberxavfsizlik (Linux, Python, Bash, Networking, TCP/IP, Wireshark, Nmap, Burp Suite, Metasploit, OWASP, Git, Docker), data science (Python, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, SQL, Jupyter Notebook, Git), data analitika (Python, Pandas, Numpy, SQL, Excel, Power BI, Tableau, Matplotlib, Seaborn, Jupyter Notebook), sun'iy intellekt (Python, PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face, OpenAI API, Langchain, Numpy, Pandas, Git, Docker), robototexnika (Python, C++, Arduino, ESP32, Raspberry Pi, ROS, Matlab, Arduino IDE, OpenCV, Sensors, Git). Ish joyi Toshkent shahrida, ish vaqti 3 soat, maosh 4-5 million so'm. Vazifalar: o'quvchilarga zamonaviy IT texnologiyalarini nazariya va amaliyot asosida o'rgatish, darslarni amaliy loyihalar va real vazifalar bilan tashkil etish, o'quvchilar bilan individual ishlash va ularning rivojlanishini kuzatib borish, dars materiallari va amaliy topshiriqlar tayyorlash. Nomzodlar mas'uliyatli, kommunikativ bo'lishi, o'z yo'nalishi bo'yicha amaliy tajribaga ega bo'lishi, yangi texnologiyalarni muntazam o'rganib borishi talab etiladi. Shuningdek, tajribali mutaxassislar bilan birga professional muhitda rivojlanish imkoniyati mavjud.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Job Description
About the role
Checkout.com http://Checkout.com is looking for an ambitious Staff Data Engineer to join our Data and AI Platform Team. Our team’s mission is to build a platform where you can create reliable, scalable, AI-powered streaming and batch data applications, and share data across Checkout.com http://Checkout.com to improve business performance.
The Data and AI Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build AI use cases and data products aiming to solve business problems. Our focus is on maximising the amount of time engineers spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions.
We're building for scale. As such, much of what we design and implement today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data.
Key Responsibilities
- Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform
- Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst building strong relationships with engineers and engineering managers
- Build tooling (modules/SDKs/DSLs) and associated documentation to foster the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications
- Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own streaming applications
- Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases
- Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans
- Provide hands-on support for all event-based systems including incident triage and root cause analysis
About You
While experience with our specific tech stack is a plus, we welcome candidates with a strong background in data systems who are eager to learn. The core remit of this role is to own and scale our event streaming capability, not to serve as a general DevOps or infrastructure engineer.
- Strong presentation and communication skills with a proven track record of influencing engineering organisations
- Strong engineering background with a track record of implementing and owning event streaming platforms
- Hands-on experience working with stream technologies, ideally Kafka
- Experience designing and implementing stream processing applications with Flink
- Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS)
- Experience with Kubernetes (either self-hosted or on the cloud)
- Experience with SQL databases
- Experience working with Docker, container deployment and management
- Experience describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines
- Excellent programming skills with at least one of Java or Python
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Espoo; Warsaw
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Flight Software Deployment Engineer
- Location: Warsaw, Poland/ Espoo, Finland
- Department: Flight Software Build & Release Team
- Reports to: Flight Software Build & Release Team Lead
- Employment type: Permanent
- Workplace model: Hybrid (3 days in the office)
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
The Build & Release team owns the path from source to flight-ready software across growing satellite constellations. This role exists because every artifact that reaches satellites in orbit must be reproducible, traceable, and verifiable. A bad update is not a simple rollback, it could mean a satellite becomes at risk.
This is not a generic SRE or DevOps role, the production environment is composed of satellites flying 500 km above our heads, and the software artifacts are cross-compiled embedded binaries. The role is in the realm of half build engineering and half embedded Linux development, you need to be willing to work at both ends.
Satellites are treated to OTA updates regularly which our team must make sure are built and deployed the right way, utilizing software development best practices.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Hands on software engineering of our satellite on-board updating system, built to deploy software and firmware updates: features, maintenance, tests and documentation.
- Contribute to the build layer across the flight software domain, so every repository is built, versioned and packaged the same way.
- Enforce immutable releases and harden the packaging and signing pipelines: least-privilege permissions, pinned workflows and dependencies, approvals, and proper signing key management.
- Work with the Linux platform team on how updates land on the satellite on-board computers, covering packaging format, filesystem layout and access control, making sure what we build installs cleanly and safely.
WHAT WE’RE LOOKING FOR
Must haves:
- Embedded software engineering experience, with hands-on embedded Linux development: cross-compilation for ARM or similar targets, kernel configuration, device tree overlays, root filesystem and image construction.
- Production CI/CD experience for compiled artifacts, not only containers or web deployments. GitHub Actions specifically is required, and workflow hardening experience is valuable.
- Working proficiency in C and C++ build environments, and in Python and Bash for automation.
- Experience implementing release integrity controls, immutable artifacts storage. Signing key management, PKI and trust chains, AWS object-lock storage and cloud key management are all valuable here.
- Shipping software to embedded devices already in the field with a package-based update mechanism, ideally opkg, under controlled release processes, quality gates and formal sign-of
Nice to haves:
- Command of CMake, including multi-repository setups, toolchain files, and shared build infrastructure that other teams consume. Buildroot experience is relevant here.
APPLICATION PROCESS
- Conversation with talent acquisition (~30 min).
- Screening with the hiring manager (~60 min).
- Technical test - take home task to be completed in 3 to 5 working days.
- Technical deep-dive (~90 min).
- On-site office visit & director interview (~60 min).
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
What We Do:
Huntress is a fully remote, global team focused on cybersecurity, founded in 2015 by former NSA cyber operators. They protect over 4 million endpoints and 7 million identities worldwide with enterprise-grade cybersecurity products designed alongside their Security Operations Center (SOC).
What You’ll Do:
- Triage, investigate, respond, and remediate various intrusions daily.
- Review EDR telemetry, log sources, and forensic artifacts to determine root causes and provide remediation.
- Perform tactical malware analysis.
- Investigate suspicious Microsoft M365 activity and provide remediations.
- Assist in escalations from Product Support for threat-related and SOC questions.
- Contribute to detection engineering creation and tuning.
- Participate in projects to improve outcomes for analysts and partners.
- Collaborate in a mentored team environment.
What You Bring To The Team:
- 4+ years experience in SOC or Digital Forensics (DFIR).
- Experience with Windows, Linux, and MacOS attack surfaces.
- Knowledge of Threat Actor tools and techniques including MITRE ATT&CK Framework, PowerShell, Command Prompt, WMIC, Scheduled Tasks, SCM, Windows Domain and host enumeration, lateral movement, persistence, defense evasion, and other offensive TTPs.
- Experience with static and dynamic malware analysis.
- Working knowledge of Windows Administration or Enterprise Domain Administration including Active Directory, Group Policy, Domain Trusts.
- Working knowledge of core networking concepts such as common ports/protocols, NAT, Public/Private IPs, VLANs.
- Working knowledge of web technologies including web servers/applications and OWASP top 10.
- Effective communication skills to explain complex events to less technical audiences.
- Customer-focused decision making.
- Strong curiosity and eagerness to learn.
Preferred Qualifications:
- Experience in MSP/MSSP/MDR roles.
- Linux and MacOS investigative experience.
- Experience with scripting languages like PowerShell, Python, Bash, PHP, JavaScript, or Ruby.
- Experience with platforms like HackTheBox, TryHackMe, Blue Team Labs Online.
- Experience with cloud investigations (M365, Azure, AWS, GCP).
- Participation in cybersecurity competitions.
- Familiarity with MSP tools such as RMMs.
What We Offer:
- 100% remote work environment.
- Generous paid time off including vacation, sick time, and holidays.
- 12 weeks paid parental leave.
- Comprehensive medical, dental, and vision benefits.
- 401(k) with 5% company contribution.
- Life and disability insurance.
- Stock options for full-time employees.
- $500 one-time home office reimbursement.
- Annual education and professional development allowance.
- $75/month digital reimbursement.
- Access to BetterUp coaching platform.
Accommodations:
- Reasonable accommodations available for application and selection process upon request.
Huntress is committed to inclusivity and non-discrimination, except against hackers exploiting businesses.
Location: Mumbai, India
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
As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
Collaborate across time zones with global teams while serving as the technical expert for the India market
You may be a good fit if you have:
10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Ability to work effectively across cultures and time zones as part of a global team
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, CA • New York, NY • United States
География найма не уточнена
ОфисLondon
ГибридEspoo; Warsaw
Mumbai
УдалённоСША
Mumbai, India; Collaborate across time zones with global teams while serving as the technical expert for the India market; Ability to work effectively across cultures and time zones as part of a global team
