Вакансии

Location: Ukraine; Czech Republic; Latvia; Spain; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Компания, работающая с инфраструктурой для брокеров, криптобирж и платёжных систем в условиях высоких нагрузок и регулируемой среды, ищет Senior DevSecOps инженера. В обязанности входит самостоятельное проектирование, создание и автоматизация мер безопасности, включая настройку Landing Zones, управление доступом через IAM/RBAC, работу с Active Directory, внедрение SIEM/EDR, применение Security as Code с использованием Terraform и OPA, защиту API (в том числе протокола FIX) и управление уязвимостями. Опыт работы с криптокошельками, HSM и MPC будет преимуществом. Кандидат должен иметь не менее 6 лет опыта в инфраструктуре и безопасности, из которых минимум 3 года — в регулируемой среде, а также глубокие знания AWS и Azure, экспертный уровень владения Active Directory, Terraform и Kubernetes, а также навыки автоматизации процессов. Работа предполагает гибридный формат с обязательным присутствием в офисе на Кипре не менее трёх дней в неделю, при этом основное общение ведётся на русском языке.

Location: United States Workplace: Remote About the Team The ClickPipes team builds the services that power data ingestion into ClickHouse Cloud. As a primary entry point for customers’ data, ClickPipes is critical to product adoption and the company’s growth. We work at petabyte scale, solving challenges in distributed systems, fault tolerance, and high-throughput ingestion. You’ll help make these pipelines performant, reliable, and easy to operate, with ownership of technical decisions and the platform as a whole. You can find some of the team’s recent work highlighted in our blog: - GCP Pub/Sub connector for ClickPipes is now in Private Preview https://clickhouse.com/blog/clickpipes-gcp-pub-sub-preview - Terraform & OpenAPI for ClickPipes is now Generally Available https://clickhouse.com/blog/terraform-ga - Unordered mode for GCS ClickPipes is now available https://clickhouse.com/blog/clickpipes-gcs-unordered-mode We’re looking for backend engineers with experience in data-intensive systems who enjoy working across technologies. You’ll collaborate with engineering and product partners and drive projects from design through production. What will you do? - Build and evolve integrations with streaming platforms and object storage, including Kafka, Kinesis, Pub/Sub, S3, GCS, and Azure Blob Storage. - Continuously improve our systems based on operational metrics, customer feedback, and evolving business requirements. - Drive technical discussions and contribute to architectural decisions that impact our platform's scalability and resilience. - Participate in on-call rotations to ensure system reliability and respond to production incidents. About you: - 5+ years of software development experience building and operating distributed systems. - Strong knowledge of Go and its ecosystem. - Experience designing systems for scalability and fault tolerance, with an understanding of concurrency, consistency, and failure recovery. - Understanding of cloud-native architecture and practical experience with at least one major cloud provider. - Experience diagnosing and resolving production issues in distributed systems. - Ability to communicate technical ideas clearly and collaborate across engineering and product teams. - Experience with data ingestion pipelines, streaming platforms, or object storage is a plus. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: — Реагирование и разрешение инцидентов в продакшене (Sev1–Sev4) — Участие в ротации дежурств (1 неделя из 5, отдельная оплата) — Создание и поддержка runbook'ов (управляемых как код с CI валидацией) — Разработка автоматизации и изменений инфраструктуры для клиентских окружений — Настройка систем наблюдения (Datadog, Prometheus, Grafana) — Подготовка постмортемов и техническая коммуникация с клиентами — Внесение вклада в базу знаний — 30–40% времени уделяется инженерным проектам (автоматизация, AI-инструменты, наблюдение) — Участие в развитии AI-усиленного L1 слоя (триаж и автоматизация на основе RAG) Требования: — Опыт работы 5+ лет с Kubernetes, Terraform, AWS/GCP/Azure, Datadog, Prometheus, Grafana, PagerDuty, Linux, Python, Bash, ArgoCD, Helm, CI/CD (GitLab CI / GitHub Actions) — Опыт дежурств в продакшене — обязателен — Опыт Java-разработчика или SRE — Умение работать с AI-агентами (критическое мышление) — Чтение чужого кода и внесение мелких исправлений — Знание SQL — Управление инцидентами (Sev1–Sev4) — Продвинутый английский для прямого общения с клиентами — Внимательность, ответственность, хорошие коммуникативные навыки Условия: — Работа полностью удалённая, только для LATAM (AMER хаб, GMT-3…-6) — Стандартные часы работы 09:00–18:00 по местному времени — Дежурства 1 неделя в ротации с отдельной оплатой (стендбай + оплата за инциденты) — Нет ночных смен, обязательное время восстановления после дежурств — Возможность стать одним из основателей AMER хаба — Реальная автономия, не позиция обработки тикетов — 30–40% времени на инженерные проекты — Работа напрямую с техническим лидом и командой CEMEA

Location: Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Data Engineer with a strong technical background and a deep understanding of the data lifecycle from acquisition and integration to modeling and exploitation. The ideal candidate combines technical excellence with business understanding, capable of translating strategic requirements into scalable data solutions that enable decision-making and product development based on reliable and timely information. This person acts as a connector between data architecture, analytics, and business needs, helping the organization evolve toward a data-driven culture. The Data & Analytics organization plays a critical role in enabling data-driven decisions across the company, ensuring information flows efficiently from its generation to its consumption. The team designs and maintains scalable data pipelines and models that power analytical use cases, operational systems, and digital products across LATAM. Operating in a Google Cloud Platform (GCP) environment, the team works with tools such as BigQuery, Dataform, Python, APIs, and Terraform, following Agile and DataOps best practices to ensure reliability, scalability, and business impact. Design, develop, and maintain scalable, efficient data pipelines supporting both analytical and operational needs. Understand the current (“as-is”) state of data sources and architectures, identifying gaps, inefficiencies, and improvement opportunities. Define and lead a data integration and completeness roadmap, ensuring availability, quality, and traceability of information across domains. Translate business requirements into clear technical specifications, collaborating closely with multidisciplinary teams (product, analytics, technology, and business). Implement and optimize data solutions using tools from the GCP ecosystem: BigQuery, Dataform, Terraform, Git, Python, and APIs. Ensure adherence to best practices in version control, documentation, and monitoring of data processes. Actively participate in data project prioritization and planning, balancing business impact and technical feasibility. Promote data governance and literacy, encouraging data-informed decision-making across teams. Mentor peers and contribute to the continuous improvement of data engineering standards. Advanced proficiency in SQL and BigQuery. Experience working with Dataform or similar data modeling frameworks (e.g., dbt). Strong knowledge of Python for data processing and API integrations. Hands-on experience with Infrastructure as Code (Terraform) and version control systems (Git). Deep understanding of the data lifecycle and its impact on digital products and business decision-making. Ability to communicate effectively with both technical and non-technical stakeholders. Experience designing data roadmaps or contributing to technology evolution plans. Proven ability to work in Agile environments, participating in sprints and cross-functional collaboration. Fluency in Spanish (team language); intermediate English for documentation and international collaboration.

Требования: — Экспертный опыт администрирования Linux — Опыт сопровождения высоконагруженных distributed systems — Глубокое понимание S3/Object Storage и distributed storage architecture — Опыт сопровождения Kubernetes-платформ — Практический опыт эксплуатации компонентов Data Lake: Apache Spark, Airflow, Flink, Kafka, Apache Iceberg — Опыт эксплуатации MinIO / Object Storage решений — Понимание replication, erasure coding, consistency, fault tolerance — Практический опыт troubleshooting: CPU, RAM, network, disk I/O, latency, throughput — Опыт работы с observability stack: Prometheus, Grafana, alerting, log analysis — Опыт автоматизации: Ansible, Terraform, Bash, Python — Понимание incident/problem management и SRE-практик — Навыки RCA, postmortem analysis и повышения reliability платформ Задачи: — Сопровождение и эксплуатация Data Lake платформ — Поддержка S3/Object Storage инфраструктуры — Мониторинг, диагностика и устранение инцидентов — Troubleshooting производительности платформы и storage систем — Сопровождение Kubernetes и компонентов Data Lake: Apache Spark, Airflow, Flink, Kafka, Apache Iceberg — Проведение RCA и postmortem analysis — Автоматизация эксплуатационных задач — Взаимодействие с командами Data Engineering и инфраструктуры — Сопровождение Big Data Platform Условия: — удаленный формат работы — Белая заработная плата, оформление согласно Трудовому кодексу РФ — Комфортный старт: 3 месяца плавного погружения под присмотром HR — Поддержка: IT-отсрочку и консультации HR/юристов — Прозрачные процессы и открытую коммуникацию — Работу на лучшем оборудовании без логирования времени, с фокусом на доверии и результате — ДМС: медицинское страхование за счет компании — Развитие: индивидуальный план обучения, посещение конференций и митапов, поддержка в развитии карьеры — Личный бренд: возможность выступать на конференциях, митапах, публикация статей — Бенефиты: ежеквартальное обновление корпоративных скидок — Движ: организация вечеринок оффлайн и онлайн, предоставление мерча, проведение конкурсов и челленджей

Задачи: — проектирование, реализация и оптимизация масштабируемых CI/CD-систем для нескольких команд разработчиков — автоматизация процессов разработки и управления инфраструктурой с использованием Python — применение подходов Infrastructure-as-Code, поддержка стандарта и контроль качества инфраструктурного кода — развитие облачных решений и управление контейнерами с Kubernetes, Helm и операторами — анализ корневых причин сбоев (RCA), обеспечение высокой доступности и надежности систем — наставничество коллег и передача экспертизы внутри команды Требования: — опыт работы DevOps-инженером или в смежных областях свыше 6 лет — глубокие знания Python и владение принципами ООП — продвинутые навыки настройки и эксплуатации CI/CD-конвейеров (GitLab CI, и др.) — свободная работа с операционными системами семейства Linux (Ubuntu, CentOS) и Bash-скриптами — уверенное использование практик Infrastructure as Code (Terraform, Ansible) — опыт работы с облачной инфраструктурой и оркестрацией контейнеров — практический опыт решения инженерных задач с LLM-агентами, настройка harness, написание собственных скиллов Дополнительные преимущества: — владение системами мониторинга и аналитики (Prometheus, Grafana, ELK Stack) — способность разрабатывать архитектуру программного обеспечения — опыт внедрения LLM-агентов и RAG в процессы разработки продукта, контроль качества и CI — высокий уровень владения английским языком (Upper Intermediate+) Условия: — комфортный современный офис в Москве - м. Кутузовская, либо Нижний Новгород - Тургенева 30. — ежегодный пересмотр зарплаты, годовой бонус — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера — корпоративная пенсионная программа.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry, from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We’re looking for a Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering, you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. WHAT YOU’LL DO - Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. - Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. - Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. - Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. - Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. - Partner with engineering and product leaders to prioritize platform investments and sequence work across teams. - Guide major architectural decisions and help teams resolve disagreements with clear reasoning and evidence. - Mentor senior and staff engineers, strengthening their technical judgment and ability to lead across team boundaries. HOW YOU WORK - You bring structure to ambiguous problems and help teams agree on what to solve first. - You pair architectural judgment with hands-on engineering and ownership through delivery. - You build alignment across teams, challenge assumptions, and make decisions when priorities compete. - You favor simple, maintainable designs and understand when added complexity is necessary. QUALIFICATIONS - Proven experience setting technical direction across multiple engineering teams, aligning engineering and product leaders on architectural decisions, priorities, and tradeoffs. - Track record of leading complex, cross-team initiatives from problem definition through production delivery, with measurable improvements in reliability, scalability, performance, or engineering productivity. - 12+ years of software engineering experience, including substantial hands-on experience architecting, building, and operating large-scale distributed systems. - Deep experience designing and operating production systems in cloud environments such as AWS or GCP, with ownership of architectural decisions and their operational outcomes. - Strong hands-on software engineering skills, including writing production code and building prototypes to validate architectural approaches. - Deep expertise in one or more of the following areas, with working knowledge across others: - Cloud infrastructure, container orchestration, and infrastructure as code, such as Kubernetes and Terraform. - Event streaming and real-time processing systems, such as Kafka, Flink, or Beam. - Distributed storage and data systems, including OLAP/OLTP databases, blob storage, and caching. - Ability to explain complex technical tradeoffs, build alignment across teams and senior leadership, and resolve architectural disagreements. - Experience mentoring senior and staff engineers, strengthening their architectural judgment, and developing technical leadership across teams. The base salary range Sentry reasonably expects to pay for this position is $260,000 to $400,000, plus an annual performance bonus of up to 20% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, US Applications will be accepted until November 01, 2026. Job Title: Senior Oracle Security and AI Engineer About the Role This Senior Oracle Security and AI Engineer is primarily responsible for the Oracle Fusion security architecture, role design governance, oversight of the Risk Management Cloud service and AI initiatives. The Engineer serves as a hands-on expert for the technical administration, environment management, and platform integrity of the Oracle Fusion ERP Cloud environment, operating as a technical owner for Oracle Fusion Applications, Security, and the underlying Cloud and AI Infrastructure. Responsibilities Environment Management & Maintenance: Own the technical management of all Fusion environments, including executing scheduled environment refreshes , cloning instances, managing environment usage, and ensuring system configuration baselines. Cloud Update Execution: Participate in the technical preparation and execution of Oracle’s mandatory quarterly cloud updates, including performing pre-update checks and technical smoke testing post-update. Platform Stability & Governance: Own the non-functional requirements for the Oracle Cloud environment, including security architecture, role design governance, and performance benchmarking. Enforce technical configuration control standards. Security Administration: Provide security administration and support for all Oracle Fusion Applications, PaaS and DBaaS platforms. Design, build, and deploy custom security roles for Oracle Fusion Applications, ensuring strict adherence to the principle of least privilege and Segregation of Duties and Sensitive Access compliance frameworks. Risk Management Cloud: Serve as the technical owner of the Oracle Fusion Risk Management Cloud service. Configure, deploy, and maintain Advanced Access Controls - AAC and Advanced Financial Controls - AFC to detect and mitigate financial risks, fraud, and policy violations, translating audit requirements into effective platform controls. Technical Support & Troubleshooting: Provide Level 2/3 technical support for environment-related issues, access problems, and deployment failures. Serve as an escalation point to conduct root cause analysis for platform-level incidents. AI & Automation Innovation: Evaluate, design, and deploy AI-driven tools, Model Context Protocol implementations/maintenance, Terraform-based automation scripts, and security artifacts to enhance platform security operations, streamline threat monitoring, and optimize governance workflows across the Oracle Cloud ecosystem. Role Requirements Must-Have Skills 8+ years focusing on the technical administration/support within Oracle eco system 4+ years of experience designing, building, and deploying custom security roles within the Oracle Fusion Applications environment. Expert-level knowledge of managing Oracle Fusion Cloud environments(ERP, GTM and EPM), including environment refresh and cloning processes. Deep technical familiarity with Oracle Cloud Infrastructure administration and monitoring. Strong understanding of security architecture, Oracle Fusion Risk Management Cloud, role design governance, and performance management within a cloud ERP. Strong understanding of various MCP and Agentic capabilities with Oracle Fusion (ERP, EPM, GTM), AI Database, Oracle Integration Cloud, and Oracle Fusion Data Intelligence. Nice-to-Have Skills Experience in an organization transitioning to Oracle Cloud Ecosystem. Hands-on experience with various OCI PaaS Toolsets. Exposure to the Data Center Infrastructure industry Relevant professional product/functional certifications (e.g., Oracle Cloud Infrastructure and Security certifications) Skilled in administering DevOps tools like Flexagon FlexDeploy and using Opal IGA tool Experience in Cloudflare’s Developer platform or equivalent(e.g., AWS) What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. 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Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo's long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems. ROLE We’re looking for a Senior Cloud Infrastructure Engineer interested in creating something bigger to join our Engineering & Data team! In this role, you’ll be working on highly scalable solutions, used by millions of people and will solve complex problems including challenges like scalability, high availability, performance, optimization & automation. You will use best-in-class services and technologies, including AI-assisted development tools and agentic workflows, and will contribute to improving the technical stack. - Design and implement availability, scalability, and performance plans for the services environments - Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security - Develop security capabilities and encourage adoption of security best practices and architecture changes throughout the company via evangelism and education - Take ownership of automating infrastructure deployment and configuration, lead the creation of CI/CD pipelines for applications, and develop CI/CD best practices across the team - Leverage AI coding assistants (e.g. Claude Code or similar harnesses) to accelerate infrastructure development, automate repetitive engineering tasks, and raise the team's overall velocity - Design, deploy, and scale autonomous or semi-autonomous agents to handle infrastructure operations, incident response, and internal tooling workflows - Perform development, automation, and deployment assignments without close supervision - Provide application development and cloud technology leadership, guidance, and assistance to other team members, including best practices for integrating AI tools into engineering workflows - Control costs and be able to propose and implement new solutions in coordination with dev teams PROFILE (MUST HAVE) - 5+ years of Linux experience including experience with scripting, networks, storage, and release - 3+ years building and maintaining continuous integration environments and working with AWS - 3+ years working with Kubernetes - Strong understanding of the infrastructure as code and immutability principles including Terraform - Experience with high traffic, distributed systems architectures, and related tools (service discovery, config/secret management, etc.) - Experience designing and managing AWS Landing Zone architectures (multi-account strategy, org-level guardrails, centralized networking/logging/security) - Experience in any scripting language (python, bash, …) - Practical experience incorporating AI-assisted coding tools or agentic frameworks (such as Cursor, Claude Code, or similar solutions) into production software development workflows - Ability to adapt to multiple stakeholders and demonstrate strong cross-teams cooperation PROFILE (NICE TO HAVE) - Supporting data pipeline orchestration (ETL, Spark, Airflow) - Running a distributed message broker at scale (Kafka, NATS) - Running GPU workloads on Kubernetes - Supporting ML workloads - Hands-on expertise in designing, deploying, and maintaining agentic systems in production environments (including multi-agent orchestration, tool integration frameworks, and comprehensive agent observability and monitoring) - Experience in golang is a plus OUR STACK AWS; Terraform; Kubernetes; Prometheus; ArgoCD; Circle-Ci; Github Actions; Atlantis; Grafana; Claude Code (or similar AI coding harnesses) BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Remote (US) Infrastructure Engineer (DevOps) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we're backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across many countries. About the role As an Infrastructure Engineer at Ondo, you'll help build and run the platform our financial products run on. Our team owns the cloud infrastructure, Kubernetes clusters, delivery pipelines, monitoring, and tooling that every engineering team at Ondo depends on, so you'll see a wide range of systems rather than one. You won't do this alone. You'll work closely with a diverse team of infrastructure engineers and developers. Expect to debug real production problems, write code and configuration for user-facing applications, and see your changes running in production early. You'll start with well-scoped work and take on more ownership as you learn our systems. Responsibilities * Collaborate with development teams to build reliable financial services for our customers. * Help the team build and improve release processes, continuous integration, and deployment automation. * Extend application monitoring and alerting. * Participate in an on-call rotation together with infrastructure engineers and developers. * Troubleshoot issues with user-facing and internal services, and debug production incidents. Requirements * Genuine curiosity and desire to learn new technologies and break things. * Hands-on Kubernetes experience: you can deploy, inspect, and debug workloads, even if you've never run a cluster yourself. * Understanding of operating systems, especially Linux internals. * Experience with "infrastructure-as-code" or "infrastructure-as-data" approaches to infrastructure management. * Understanding of the GitOps approach to application management. * Experience with the Prometheus stack or another monitoring solution. Nice to haves * Experience building infrastructure in a major cloud provider (AWS, Google Cloud, or Azure). * Programming ability in Go, Python, or another modern, widely adopted language. * Experience running stateful workloads in production, not only stateless services. Our tech stack AWS, GCP, Azure | Terraform | Kubernetes, Flux | Prometheus, Grafana, Datadog What we offer * Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation * Full benefits (medical, vision, and dental) and flexible vacation policy (PTO) * Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices * A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom * Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures

Задачи: — Проектировать, внедрять и поддерживать DevOps инструменты для data pipeline и data платформ. — Поддерживать и автоматизировать ETL процессы (например, Spark, Airflow). — Создавать и управлять мониторингом и наблюдаемостью качества данных (DBT), data pipeline и систем хранения. — Внедрять и поддерживать инфраструктуру хранения данных на AWS (S3, EC2, сеть). — Интегрировать и поддерживать Project Nessie как транзакционный каталог для Data Lakes с семантикой, похожей на Git. — Тесно сотрудничать с Data Engineers для обеспечения плавного деплоя, версионирования и масштабирования data jobs и pipeline. — Автоматизировать деплой и CI/CD процессы с использованием GitLab CI/CD. — Обеспечивать лучшие практики безопасности при работе с чувствительными данными. — Писать автоматизацию инфраструктуры на Python, Bash, Ansible. — Документировать системы, pipeline и DevOps процессы. Требования: — Опыт 5+ лет в DevOps / IT Ops / DataOps с практическим опытом работы с инфраструктурой, связанной с данными. — Глубокие знания Linux (сеть, настройка ядра, оптимизация производительности). — Практический опыт работы с Airflow, ClickHouse, DBT, Spark и Project Nessie. — Солидные знания AWS сервисов (S3, EC2, IAM, сеть). — Владение скриптингом и автоматизацией (Python, Bash, Ansible). — Опыт работы с CI/CD пайплайнами (GitLab). — Опыт работы с мониторинговыми стеками (Prometheus, Grafana, ELK). — Знакомство с контейнеризацией и оркестрацией (Docker, Kubernetes). — Понимание концепций управления данными. — Сильные коммуникативные навыки и проактивный подход. Плюсом будет: — Опыт работы с потоковой обработкой данных в реальном времени. — Знание инфраструктуры как кода (Terraform). — Знакомство с безопасностью в data engineering (IAM, шифрование, контроль доступа). — Опыт работы с высокопроизводительными системами или в торговой среде.

Требуется DevOps-инженер. Требуемые навыки: Linux, Docker, PostgreSQL, Terraform, Ansible, Prometheus, RabbitMQ, Nginx, GitLab, CI/CD. Полный рабочий день. Можно удалённо.

В роли Senior DevOPS / SRE инженера предстоит заниматься управлением и оптимизацией облачных платформ, автоматизацией CI/CD и GitOps пайплайнов, а также внедрением Infrastructure as Code с помощью инструментов Ansible, Terraform и Pulumi. Работа включает поддержку контейнеризированных сред на базе Docker, Docker Swarm и Kubernetes, а также обеспечение надежной инфраструктуры для BI-сервисов и data-driven приложений, таких как ClickHouse, SQL, Airflow, Tableau и Superset. Взаимодействие с командами разработки и BI направлено на повышение стабильности развертывания и эффективности операций. Требуется уверенное владение одной из облачных платформ, опыт построения масштабируемой IT-инфраструктуры, навыки администрирования Linux-серверов, понимание сетевой модели OSI и принципов информационной безопасности. Опыт работы с инфраструктурой для Business Intelligence и data-related решений будет преимуществом. Работа предполагает офисный формат в Минске или Лимассоле с зарплатой от 4000 до 5000 USD.

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland We are looking for an experienced Platform Engineer to support the existing AWS infrastructure and contribute to its ongoing modernisation and consolidation. The role combines hands on cloud engineering with a product mindset. We are not looking only for someone who can build or operate infrastructure. We need an engineer who treats the platform as a product and product engineering teams as customers, starting from developer friction rather than a preferred tool, building self service capabilities and golden paths, and proving impact with data. The working schedule is aligned with UK business hours, from 9:00 AM to 5:30 PM UK time. Participation in an on call rota may be required. This position includes a sign in bonus. You will contribute to a transformation from team operated infrastructure toward a platform with clear self service capabilities. The platform is run as an internal product. Product engineering teams are its customers, and success is measured by developer experience, adoption, reliability, delivery speed, and cost. Design and evolve reliable AWS, Kubernetes, Terraform, and CI/CD platform capabilities for engineering teams. Understand developer friction through conversations, feedback, and data before choosing a technical solution. Build self service capabilities, golden paths, and guardrails that make the right thing easy for engineers. Measure outcomes such as lead time, deployment frequency, reliability, and cost to prioritise work and confirm improvements. Work with product engineering teams to iterate on solutions and drive platform adoption. Balance standardisation and controls with usability so the platform enables teams rather than adding process. Strengthen observability, resilience, security, and incident readiness. Take part in incident response, post incident reviews, and the on call rota. Strong hands on AWS platform engineering experience in production environments. Practical experience with Kubernetes, EKS, Docker, Terraform, and Helm. Strong CI/CD experience, particularly with GitHub Actions and reusable pipeline design. Experience with logging and monitoring, networking and protocols, secrets management, and service discovery. Experience with at least one programming or scripting language. Evidence of designing secure, reliable, and maintainable platform solutions. Experience supporting business critical services, including participation in an on call rota. Experience identifying developer needs and translating them into practical platform improvements. Experience building self service capabilities, reusable workflows, or guardrails adopted by engineering teams. Ability to use data and metrics to prioritise platform improvements and evaluate their impact on developer experience, reliability, delivery speed, or cost. Experience collaborating with engineering teams to gather feedback, iterate on solutions, and drive adoption. Ability to balance standardisation, security, and operational controls with developer usability. Experience with Honeycomb, OpenTelemetry, Prometheus, or Splunk, including SLO driven practices. Experience using platform engineering metrics to measure adoption, developer experience, and operational outcomes. Pragmatic use of AI assisted engineering tools to improve quality and productivity. Provide your feedback on BizChat

Задачи: — Строить и развивать аналитическое хранилище компании на базе BigQuery. — Настраивать конвейеры данных из продуктовых и маркетинговых источников (AppsFlyer, Adjust, RevenueCat, Amplitude, Mixpanel, Facebook Ads и др.). — Формировать данные в удобный для аналитиков и продуктовых менеджеров вид. — Документировать модель данных. — Внедрять лучшие практики работы с хранилищем: слоистая архитектура (raw / staging / marts), соглашения по наименованиям, версионирование, тесты качества данных. — Взаимодействовать с продуктом, маркетингом и аналитикой для понимания бизнес-требований и трансформации их в структуру данных. Требования: — Опыт работы в data engineering от 2 лет или сильная аналитическая роль с реальным инженерным компонентом (уровень solid junior / light middle). — Уверенное владение Python для написания ETL/ELT скриптов, работы с API и автоматизации конвейеров. — Опыт работы с GCP (BigQuery, Cloud Functions, Cloud Storage). — Уверенный уровень SQL: оконные функции, CTE, оптимизация запросов. — Понимание принципов аналитических хранилищ: слоистая архитектура, нормализация/денормализация, идемпотентность конвейеров, инкрементальные загрузки. — Опыт интеграции данных из внешних источников через API или готовые коннекторы. — Сильные коммуникативные навыки для общения с нетехническими стейкхолдерами, умение задавать уточняющие вопросы и объяснять технические ограничения простым языком. — Опыт работы с Git: ветвление, код-ревью. Желательно: — Опыт с типичными источниками подписочного/мобильного стека: AppsFlyer, Adjust, Adapty, Amplitude, Mixpanel. — Понимание специфики мобильной атрибуции: SKAdNetwork, постбеки, детерминистическая и вероятностная атрибуция. — Опыт работы с BI-инструментами (Looker Studio, Metabase, Tableau, Power BI) на уровне настройки источника и построения дашбордов. — Знания Terraform / IaC для ресурсов GCP. — Опыт с CDC / стримингом (Pub/Sub, Dataflow) — плюс, но не критично. Условия: — Гибридный формат работы: 2 дня в офисе в Варшаве, 3 дня удаленно. — Обеды оплачиваются в офисные дни. — Возможность участвовать в командных мероприятиях. — Гибкий график с фокусом на результат. — Работа в молодой команде с энергией стартапа, без бюрократии и микроменеджмента.

Ищем сильного DevOps-инженера, который будет отвечать за инфраструктуру Orion: облачные и on-premise развёртывания, стабильность сервисов, CI/CD, мониторинг, безопасность и поддержку высоконагруженных AI-видеоаналитических систем. В работе будут Docker, PostgreSQL, RabbitMQ, GPU-серверы, VPN, видеопотоки и production-окружения клиентов. Обязательные требования: — Опыт DevOps / SRE / Infrastructure Engineer от 3 лет. — Уверенное администрирование Linux: troubleshooting, networking, systemd, package management. — Сети: TCP/IP, DNS, load balancing, firewall, VPN, reverse proxy; умение диагностировать потери пакетов, пропускную способность и узкие места. — Практический опыт с AWS, GCP, Azure или Yandex Cloud. — Docker: Dockerfile, multi-stage builds, docker-compose, оптимизация и безопасность образов. — Terraform и Ansible. — Prometheus, Grafana, логирование и алертинг. — OpenTelemetry: collectors и pipeline traces / metrics / logs. — PostgreSQL + Patroni: репликация, failover, backup, performance tuning. — RabbitMQ: очереди, exchanges, кластеризация, мониторинг. — Nginx: reverse proxy, SSL/TLS, load balancing, rate limiting, caching. — GitLab CI/CD. — Keycloak, FreeIPA и HashiCorp Vault. Будет плюсом: — WireGuard или Amnezia VPN. — NVIDIA GPU: драйверы, CUDA, мониторинг и контейнеризация. — Kubernetes, Helm, Ingress, operators и troubleshooting. — Bash/Python-скрипты. — Security best practices: least privilege, CIS benchmarks, secrets rotation. — Опыт high-load и high-availability систем. — Умение писать небольшие инфраструктурные утилиты с использованием AI-агентов.

Location: ES - Spain Scopely is looking for a Senior Identity Security Engineer to join our Information Security team on a remote basis or hybrid basis if located in Barcelona.  This is a hands-on engineer who will build identity controls that reduce excessive privilege and protect critical operations. You will improve access across employee, player, business partner, and non-human identities by building AI-native identity workflows: agentic systems that handle provisioning, access reviews, and remediation within explicit guardrails, with humans approving what matters. Your work will protect the identities and access that support Scopely’s critical business processes, including essential enterprise functions and game operations.  This is a highly technical, hands-on role for someone who can operate across AWS, GCP, Okta, AWS IAM Identity Center, Zero Trust access models, identity governance workflows, and modern AI-enabled engineering environments, while building scalable identity systems through Infrastructure as Code, workflow orchestration, and automation-first security engineering. What You Will Do Reduce identity attack surface and privilege Reduce standing and excessive access with least-privilege roles, just-in-time and time-bound elevation, and automated access reviews. Build repeatable identity and access workflows that make onboarding, approvals, role changes, reviews, and offboarding consistent, traceable, and timely. Govern non-human identities, including service accounts, workload identities, CI/CD identities, API credentials, and AI agents and their tool integrations: inventory them, assign owners, replace long-lived secrets with short-lived or federated credentials, and rotate or revoke on a schedule and on signal. Strengthen identity protection and resilience Protect access to critical business processes and systems with phishing-resistant authentication (passkeys/FIDO2), device trust and posture signals, tightly controlled privileged access, and prompt revocation of suspicious sessions or compromised credentials. Threat-model identity platforms, integrations, and access paths to identify exploitable trust relationships, privilege escalation, and credential misuse. Build identity telemetry and response workflows to detect risky sign-ins, privilege changes, credential misuse, and compromised integrations. Design and test break-glass and recovery procedures for identity services and cloud access so teams can regain secure access during an outage or compromise. Extend the same patterns to player and partner identities where security owns the controls: platform identity federation (Apple, Google, Steam, console), account linking and recovery, external and vendor access, and defenses against account takeover and credential stuffing. Build AI-native identity services Build and operate reusable identity controls and services using infrastructure as code, APIs, scripting, and delivery pipelines. Apply code review, testing, drift detection, and audit trails so that every change, whether made by an engineer or an agent, is safe to deploy and easy to investigate. Design and build multi-agent workflows that surface identity risk, run access attestations, and triage and remediate access issues end to end. Engineer the harness those agents run in: scoped tools and permissions, curated context and data access, evals and test cases, orchestration between agents, and observability, so agent behavior is predictable, reviewable, and improvable. Treat agents as identities. Give every agent and MCP integration its own scoped credentials, least-privilege permissions, and bounded data access; validate inputs and outputs; log every action; and require human approval for changes that touch privileged access or production. Work with game and platform stakeholders to adopt shared identity patterns. Measure progress through reduced standing privilege, stale access, and unmanaged identities, and less manual work. Produce audit-ready evidence for access reviews, privileged access, and lifecycle events as a byproduct of the workflows rather than a separate project. What You Bring 5+ years of experience in IAM, or identity-focused cloud/security engineering, including hands-on ownership of production identity controls in complex environments. Strong experience with Okta or a comparable workforce identity platform and AWS/GCP IAM, as well as federation and provisioning protocols such as SAML, OIDC, OAuth, and SCIM. Production experience building, testing, and operating identity services or automation using Terraform or comparable infrastructure as code, Python, Go, or TypeScript., APIs, version control, and CI/CD. Strong knowledge of least privilege, just-in-time privileged access, identity lifecycle and governance, authentication controls, and non-human or workload identity risk. Experience threat-modeling identity architectures, integrations, and access paths, and driving remediation with service owners. Hands-on experience building AI-native workflows: systems where agents carry out multi-step work end to end, designed from the start around what agents can be trusted to do and where humans approve. Using a coding assistant does not count. Working fluency with harness engineering and multi-agent development: defining tools and permissions, scoping context and data, writing evals, orchestrating specialized agents, and instrumenting agent runs so failures are diagnosable, plus the judgment to keep those systems inside least-privilege boundaries. Ability to lead technical work from design through deployment and operations, and explain identity risks and implementation choices to stakeholders. Experience with identity governance, privileged access, or cloud entitlement tooling, or having built the equivalent in-house. Nice-to-have Consumer identity (CIAM) at scale, Kubernetes workload identity, detection engineering or SIEM experience, Okta or cloud security certifications, gaming or live-service experience. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.