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Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organisation efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. As Voodoo continues to grow, we are transforming the way Finance uses data and technology. Our ambition is to move from fragmented, spreadsheet-heavy workflows to a modern, reliable, and increasingly automated Finance data platform.   ROLE We're looking for a Finance Data Engineer to join our Corporate team. In this role, you'll own the technical transformation of Finance by building the data foundations, pipelines, and internal tools that enable Finance teams to operate more efficiently and make better decisions. Reporting to the CFO, you will work closely with Finance stakeholders and Voodoo's central Data team, combining data engineering, business understanding, and product thinking to turn complex Finance needs into reliable and maintainable solutions. - Define and drive the roadmap for Finance data, automation, and internal tooling - Build and progressively scale Voodoo's Finance data platform, prioritising the use cases that create the greatest business value - Migrate critical data transformations and workflows from spreadsheets and legacy tools to tested, documented, code-based solutions - Create reliable data models and pipelines for Finance reporting, analysis, forecasting, and operational processes - Establish strong standards for data quality, observability, documentation, security, and access management - Partner closely with Accounting, FP&A, Controlling, Treasury, and other Finance stakeholders to translate their needs into scalable technical solutions - Collaborate regularly with Voodoo's Data leadership and engineering teams to align on architecture, tooling, and best practices - Build intuitive dashboards and internal applications that allow Finance teams to explore data and manage workflows independently - Identify AI and automation opportunities, take them from prototype to production, and measure the value they create - Help Finance teams adopt data and AI tools effectively through documentation, training, and day-to-day support   PROFILE - Significant experience in data engineering, analytics engineering, or a closely related role, including ownership of production-grade data solutions - Proven track record of building or substantially improving a modern data platform or analytics stack - Highly proficient in SQL and comfortable building production systems in Python - Strong software-engineering practices applied to data work: testing, version control, code review, documentation, and monitoring - Solid understanding of core corporate Finance and accounting concepts; familiarity with French accounting principles is a strong advantage - Ability to translate ambiguous business needs into clear, pragmatic technical solutions - Comfortable working autonomously, prioritising competing needs, and delivering value incrementally - Strong communication skills with both technical and non-technical stakeholders, in French and English - Curious about the evolving data and AI ecosystem — you test new approaches on real problems and form your own point of view - Rigorous, detail-oriented, and focused on measurable outcomes; pragmatic in technology choices, knowing when to build, adopt open-source, or buy commercial solutions Nice to have: - Experience building tools or data products for Finance teams - Experience deploying AI agents or AI-enabled workflows into production - Familiarity with the mobile gaming, consumer apps, advertising, or digital analytics ecosystem - Experience operating data infrastructure on AWS   OUR STACK - Cloud: AWS - Languages: Python, SQL, Scala - Transformation & orchestration: dbt, Airflow, Spark - Query engines: Athena, StarRocks - Infrastructure: Terraform, Kubernetes - Internal applications: Streamlit - AI-assisted development: Claude Code, MCP-based internal tooling   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

Задачи: — Анализ защищенности внутренних и внешних сервисов компании с использованием методики OWASP WSTG (black/gray/white box тестирования); — Подготовка рекомендаций (написание отчетов) по повышению уровня защищенности по результатам проведенных работ; — Участие в проектах по тестированию на проникновение и RedTeam в качестве специалиста по разработке и поддержке инструментария, используемого коллегами; — Исследовательская деятельность в области информационной безопасности, тестирование PoC-ов, развитие собственных компетенций. Требования: — Опыт работы/практика в области практического анализа защищенности веб-приложений; — Опыт работы/практика в разработке и автоматизации на языках Python (обязательно), Bash, Ansible, Terraform (желательно), Go, C# и других (дополнительно); — Владение основными инструментами анализа защищенности веб-приложений (в частности, BurpSuite Pro с различными плагинами); — Работа с эксплойтами, их модификация и выполнение; — Знание методик анализа защищенности (PTES, MITRE ATT&CK, OWASP WSTG); — Знание используемых в корпоративной cреде систем и технологий и атаки на них; — Знание сетевых протоколов и протоколов аутентификации и авторизации различных систем; — Умение читать и анализировать исходный код на распространенных языках программирования; — Технический английский.

Задачи: — Администрировать, поддерживать и оптимизировать облачные платформы и инфраструктуру. — Настраивать, конфигурировать, поддерживать и совершенствовать CI/CD- и GitOps-пайплайны. — Внедрять и поддерживать практики Infrastructure as Code (IaC) с использованием таких инструментов, как Ansible, Terraform, Pulumi. — Управлять контейнеризированными средами с использованием Docker, Docker Swarm и Kubernetes. — Обеспечивать надежную инфраструктуру и процессы развертывания для BI-сервисов и приложений, включая ClickHouse, SQL, Airflow, Tableau, Superset. — Тесно взаимодействовать с командами разработки и BI для повышения надежности развертывания, консистентности окружений и операционной эффективности. Требования: — Уверенные навыки настройки и администрирования как минимум одной облачной платформы. — Уверенные навыки построения и автоматизации процессов развертывания с использованием CI/CD и GitOps. — Опыт построения масштабируемой IT-инфраструктуры. — Уверенные навыки настройки Linux-серверов и устранения неисправностей. — Практический опыт работы с Kubernetes. — Понимание сетевой модели OSI. — Понимание принципов построения надежной и масштабируемой инфраструктуры, а также автоматизированных процессов развертывания. — Знание принципов информационной безопасности и защиты данных. — Интерес к работе с инфраструктурой для Business Intelligence и data-related решений либо соответствующий практический опыт.

Location: Bengaluru, India We are looking for an experienced Platform Engineer to support the existing AWS infrastructure and contribute to its ongoing modernization 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 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 (e.g. lead time, deployment frequency, reliability, cost) to prioritize work and confirm improvements. Work with product engineering teams to iterate on solutions and drive platform adoption. Balance standardization 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 prioritize 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 standardization, 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.

Задачи: — Разработка и поддержка CI/CD пайплайнов — Автоматизация инфраструктуры (IaC) — Развертывание и поддержка Kubernetes-кластеров — Мониторинг, логирование и алертинг — Обеспечение отказоустойчивости и масштабируемости систем — Внедрение DevSecOps практик — Оптимизация cloud-инфраструктуры и затрат — Поддержка production-среды Требования: — Проживание на территории РФ — Опыт работы DevOps/SRE от 2+ (Middle) — Уверенное знание Linux — Опыт работы с контейнерами и оркестрацией (Docker, Kubernetes) — Опыт построения CI/CD (GitLab CI / Jenkins / GitHub Actions) — Infrastructure as Code (Terraform, Ansible) — Опыт работы с облаками (Amazon Web Services / Google Cloud Platform / Microsoft Azure) — Мониторинг и логирование (Prometheus, Grafana, ELK Stack / Loki) — Опыт работы с Git — Будет плюсом опыт с: Argo CD / Flux, Работа с секретами (HashiCorp Vault), Опыт DevSecOps (SonarQube), Опыт работы с брокерами/БД (Kafka, PostgreSQL), Опыт построения highload систем — Понимание DevOps практик и CI/CD подходов — Навыки troubleshooting — Опыт работы с production системами — Умение работать в команде Условия: — Официальное трудоустройство в аккредитованную IT-компанию — Полностью удалённая работа (РФ) — 28 календарных дней оплачиваемого отпуска в год — Бенефиты (компенсация спорта, скидки у партнеров и др.)

Задачи: — Поддерживать инфраструктуру на bare metal и виртуальных машинах. — Разворачивать и обслуживать кластеры Kubernetes. — Администрировать базы данных: PostgreSQL, Elasticsearch, Redis, Clickhouse. — Сопровождать Airflow и другие инфраструктурные сервисы (GitLab, Harbor, Vault). — Автоматизировать процессы (Ansible, Terraform, Flux). — Настраивать и поддерживать мониторинг (VictoriaMetrics, Grafana). — Заботиться о стабильной работе сервисов. — Вести техническую документацию — понятно и по делу. Требования: — Уверенное владение Linux (Debian/Ubuntu), понимание сетевого стека и принципов контейнеризации. — Опыт развёртывания и сопровождения продуктовых кластеров Kubernetes. — Умение автоматизировать инфраструктуру с помощью Ansible и Terraform. — Знакомство с GitOps-подходом (FluxCD или ArgoCD). — Навыки настройки мониторинга и логирования (Grafana, Prometheus, ELK Stack, Sentry, VictoriaMetrics). — Опыт построения CI/CD на базе GitLab CI. Условия: — Зарплата, соответствующая опыту, и прозрачная система мотивации. — Оформление по ТК РФ: белая зарплата, отпуска, больничные. — Возможность прикрепиться по ОМС к ведомственной клинике рядом с офисом. — Гибридный график 5/2 с плавающим началом дня. — Современный комфортный офис (м. Щукинская). — Бронь от призыва для военнообязанных сотрудников. — Поддержка профессионального развития: участие в конференциях и профильное обучение за счет компании. — Работа на стыке науки и современных технологий — Big Data и ML в продуктовой среде.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director of Engineering, Database Excellence, you will lead the Database Excellence stage and report to the Vice President of Data Engineering, in our Engineering department. You will set the direction for the databases that support GitLab.com, self-managed GitLab, and GitLab Dedicated. Your organization owns the reliability, capacity, health, and sustainability of GitLab's application datastores, with PostgreSQL as the primary focus alongside Redis, OpenSearch, ClickHouse, and object storage. You will be accountable for database capacity and availability on GitLab.com. You will guide long-range platform decisions while partnering with Infrastructure, Product, Distribution, Support, Security, and FinOps. The work includes reducing infrastructure costs, improving data growth controls and saturation detection, standardizing database services, rebuilding the self-managed upgrade experience, and contributing to GitLab's company-wide datastore strategy, including Cells partitioning. Learn more in the Database Excellence handbook . What you’ll do Set direction and long-range plans for the database platform in line with company strategy. Own database capacity and availability outcomes for GitLab.com, and communicate database risk to senior leadership. Lead and coach three Engineering Managers and develop Staff-plus engineers into leaders. Drive cross-division technical decisions using data, partnering with Infrastructure, Product, Distribution, Support, Security, and FinOps. Partner with Product to prioritize database platform investments and make infrastructure tradeoffs in the context of product outcomes. Own the hiring plan, organization design, retention, and performance management for teams across regions. Set quarterly objectives and key results and engineering key performance indicators for the stage, and manage the database infrastructure budget with FinOps. Serve as an escalation point for database incidents, standardize effective processes, and keep the handbook current. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience leading managers of managers, including coaching newer managers. Experience working hands-on with PostgreSQL at scale, including capacity planning, upgrades, replication, performance, and large production clusters. Experience using data to make strategic technical decisions and connect database platform investments and tradeoffs with product outcomes. Experience supporting software that customers run themselves, or working through the self-managed upgrade challenge. Experience leading backend engineering teams that own production infrastructure, applying site reliability engineering practices including service level objectives, on-call operations, incident management, cost management, and automation. Experience communicating clearly in writing in an asynchronous, handbook-first company. Experience leading globally distributed remote teams. Experience with Redis, ClickHouse, OpenSearch, object storage, Google Cloud Platform, Kubernetes, Terraform, Chef, managed database services, FinOps, AI-assisted engineering workflows, or platform and infrastructure organizations is a plus. About the team Database Excellence includes Database Architecture, Database Automation, and Self Managed Database. Three Engineering Managers lead these teams, alongside an Operations Manager. Our teams work across the United States, Europe, the Middle East, Africa, and India. Database Architecture provides datastore guidance, data growth controls, and the database review process. Database Automation builds PostgreSQL fleet automation, upgrades, provisioning, health monitoring, and an internal managed PostgreSQL offering. Self Managed Database is rebuilding the upgrade and migration experience for self-managed GitLab. Together, we make database services more reliable, sustainable, and easier to operate across GitLab's deployment models. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $230,400 — $345,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Разрабатывать и поддерживать модули Terraform/OpenTofu для vSphere VM provisioning, настройки размещения/ресурсных пулов и интеграции cloud-init/cloudbase-init согласно дизайнам VMware Architect — Создавать и запускать Ansible playbooks для пост-провиженинга конфигурации на VMware VM — Обеспечивать модули VMware DRS (правила affinity/anti-affinity, ресурсные пулы) и vSAN (политики хранения) — Помогать с созданием и тестированием модулей SRM (группы защиты, планы восстановления) и HCX (парное соединение сайтов, расширение сети), включая тестирование отказоустойчивости — Сотрудничать с Network Architect по реализации сегментации NSX-T и правил DFW для VMware нагрузок — Диагностировать и решать производственные проблемы в модулях VMware автоматизации на этапах внедрения и адаптации — Участвовать в тестировании модулей и документации согласно стандартам платформы Infrastructure as Code Engine Требования: — Опыт 3+ лет в разработке и эксплуатации VMware автоматизации — Экспертные знания vSphere, DRS и vSAN с использованием Terraform/OpenTofu и Ansible — Опыт тестирования VMware, включая парные сайты и отказоустойчивость для HCX/SRM — Знания сегментации сети NSX-T и концепций распределённого файрвола (DFW) для взаимодействия с Network Architect — Навыки настройки Windows гостевых систем (cloudbase-init) и Linux (cloud-init) — Профессионализм в Terraform (IaC) и Ansible (CaC) разработке — Умение работать с AI-поддержкой через GitHub Copilot — Свободное владение английским языком на уровне B2+ Желательно: — Опыт интеграции VMware provisioning с golden-image пайплайнами — Знания Microsoft Azure Условия: — Полная занятость — Удалённая работа

Location: Malta We are seeking a skilled Connectivity and Cloud Architect to join our Infrastructure area. You will design, implement, and maintain robust network architectures across hybrid on-premise and AWS cloud environments, with a strong focus on routing (BGP), connectivity, and DNS architecture, working closely with our Enterprise Architect, infrastructure, and network teams to ensure seamless integration and optimal performance across all systems. A taster of what you will be involved with: Network Architecture Design: Design and develop scalable, secure network architectures across hybrid on-premise and AWS cloud environments, including routing, connectivity, and integration patterns. AWS Network Architecture: Lead design and implementation of AWS networking components, including Transit Gateways, VPC connectivity, ACLs, Network Firewalls, Cloud WAN, and Route 53. Hybrid Connectivity: Design and manage AWS Direct Connect and Site-to-Site VPN architectures linking on-premise and cloud environments. Routing and BGP: Design, implement, and maintain complex routing architectures leveraging advanced protocols such as BGP and OSPF to ensure resilient, performant connectivity. DNS Architecture: Design, implement, and maintain DNS architecture across on-premise and cloud environments, ensuring scalability, resiliency, and security. Disaster Recovery Network Design: Design and maintain resilient network architectures supporting disaster recovery and business continuity. Network Management: Oversee configuration, management, and optimisation of network devices (routers, switches, firewalls, VPNs), ensuring network security and compliance with best practices. Automation and Tooling: Use Git, Terraform, Bash, and Ansible to automate and manage infrastructure and network configuration as code. Collaboration and Communication: Work with cross-functional teams to gather requirements, provide technical guidance, and ensure alignment with business objectives. Documentation and Best Practices: Develop and maintain documentation, diagrams, and SOPs for network and cloud architectures, promoting industry best practices and compliance. What we are looking for: Education: Bachelor's degree in Computer Science, Information Technology, or a related field 3+ years of proven experience as a Systems Architect, Network Architect, Cloud Architect, or similar role in a complex IT environment Strong understanding of AWS Cloud security and infrastructure security, including network and server security Relevant certifications (e.g., AWS Certified Advanced Networking – Specialty, AWS Certified Solutions Architect, CCNP) are a plus Work Experience: Strong expertise in designing and implementing hybrid (on-premise and cloud) network architectures Strong, hands-on AWS network experience, particularly with Transit Gateways, ACLs, Network Firewalls, Cloud WAN, VPC connectivity, EKS networking, and Route 53 Hands-on experience with AWS Direct Connect and VPN Gateway architectures for hybrid connectivity Experience designing and implementing complex routing architectures, leveraging advanced protocols such as BGP and OSPF Strong knowledge of DNS architecture design, implementation, and management across on-premise and cloud environments Experience designing disaster recovery and business continuity network architectures Experience with load balancing technologies (e.g., AWS ALB/NLB or equivalent on-premise solutions) Experience with network monitoring and observability tooling (e.g., VPC Flow Logs, CloudWatch, NetFlow) Working knowledge of IPv6 In-depth knowledge of networking protocols, security principles, and best practices Strong familiarity with Git, including branching, automation workflows, and merging strategies Excellent skills in Terraform, Bash, and Ansible Strong background in Linux administration Understanding of microservice design and architectural patterns Experience with Kubernetes/EKS networking, including CNI plugins and service mesh In-depth knowledge of on-premises infrastructure, including servers, SAN/NAS storage devices, fibre channel networks, and backup infrastructures Proficiency in Active Directory administration, including domain management, group policies, LDAP, and SAML integrations Familiarity with virtualisation technologies (VMware, Hyper-V, etc.) and containerisation (Docker, Kubernetes) Excellent analytical, problem-solving, and decision-making skills Strong communication and interpersonal abilities, with a collaborative mindset Other Requirements: Proven practical communication skills (written and verbal) to articulate platform architecture to other Architects (Area and Enterprise), Area Product Managers, and technical teams Adherence to best practices in documentation, testing, security, and efficient use of resources Experience with identity solutions Awareness of relevant regulatory and compliance frameworks (e.g., PCI-DSS, ISO 27001) as they apply to network and infrastructure security What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Bulgaria; Croatia; Hungary; Lithuania; North Macedonia; Poland; Slovakia Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland,Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Задачи: — Прямая работа с CTO: архитектурные и операционные задачи инфраструктуры — Поддержка и развитие кластеров Kubernetes: ArgoCD, Helm, GitLab CI/CD — Код на Go: внутренние утилиты и CLI, экспортеры метрик, операторы и хелперы для платформы, правки в сервисах монорепозитория — Инфраструктура как код — OpenTofu, Ansible — Сетевой контур: маршрутизация, VPN, DNS, TLS, ingress, firewall, сегментация — Docker / docker compose — локальные и staging-окружения разработчиков — Первая линия реакции на инциденты: разбор алертов, эскалация, постмортемы — Базовое администрирование сервисов — доступы, почта, админки Требования: — Kubernetes в проде — не «поднял minikube», а дежурил и чинил — GitLab CI/CD, ArgoCD, понимание GitOps-подхода — Сети — TCP/IP, DNS, NAT, VPN, TLS; умение читать tcpdump и не паниковать — Docker, docker compose — Ansible, OpenTofu (или Terraform) — Linux на уровне уверенного администрирования — Grafana и алертинг — дашборды, метрики и логи, настройка правил алертов, работа с Prometheus / Loki / Alloy — Сбор метрик с сервисов в Kubernetes — экспортеры и sidecar'ы, ServiceMonitor / scrape-конфиги, обвязка приложений метриками, RED/USE-подход к дашбордам — Kafka и NATS — не только «настроить», но и понимать семантику доставки, консьюмер-группы, отставание — Опыт highload и финтеха — платёжные интеграции, деньги, требования к надёжности — Готовность подключаться к инцидентам вне стандартных часов — Английский — документация и переписка Будет плюсом: — Go — умение писать и поддерживать код, а не только читать: утилиты, экспортеры, правки в сервисах — Опыт в iGaming

Location: Bulgaria; Croatia; Estonia; Greece; Hungary; Latvia; Lithuania; Poland; Romania; Slovakia; Slovenia; Ukraine Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine. About the role A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own. The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products. What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure). Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong debugging, optimization, and performance-tuning skills. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to have: Kubernetes operators, Helm chart authoring, admission webhooks. Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs. Local development environment tooling (devcontainers, Tilt, Skaffold, or similar). Kubernetes or cloud-native OSS contributions. Responsibilities: Design, build, and operate the CI/CD pipelines every engineering team ships through. Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production. Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop. Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround. Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure. Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you. Tools we use daily: Programming Language: Go Cloud & Orchestration: Kubernetes, GCP, AWS, Azure Infrastructure as Code: Terraform Databases & Storage: ClickHouse, Cloud Object Storage Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo CI/CD & GitOps: GitLab CI, ArgoCD, Kargo What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Задачи: — Администрировать, поддерживать и оптимизировать облачные платформы и инфраструктуру. — Настраивать, конфигурировать, поддерживать и совершенствовать CI/CD- и GitOps-пайплайны. — Внедрять и поддерживать практики Infrastructure as Code (IaC) с использованием таких инструментов, как Ansible, Terraform, Pulumi. — Управлять контейнеризированными средами с использованием Docker, Docker Swarm и Kubernetes. — Обеспечивать надежную инфраструктуру и процессы развертывания для BI-сервисов и приложений, включая ClickHouse, SQL, Airflow, Tableau, Superset. — Тесно взаимодействовать с командами разработки и BI для повышения надежности развертывания, консистентности окружений и операционной эффективности. Требования: — Уверенные навыки настройки и администрирования как минимум одной облачной платформы. — Уверенные навыки построения и автоматизации процессов развертывания с использованием CI/CD и GitOps. — Опыт построения масштабируемой IT-инфраструктуры. — Уверенные навыки настройки Linux-серверов и устранения неисправностей. — Практический опыт работы с Kubernetes. — Понимание сетевой модели OSI. — Понимание принципов построения надежной и масштабируемой инфраструктуры, а также автоматизированных процессов развертывания. — Знание принципов информационной безопасности и защиты данных. — Интерес к работе с инфраструктурой для Business Intelligence и data-related решений либо соответствующий практический опыт.

Задачи: — Развитие и эксплуатация Kubernetes-инфраструктуры; — Построение и развитие CI/CD-процессов; — Управление инфраструктурой как кодом (Terraform); — Автоматизация процессов развертывания и эксплуатации; — Развитие мониторинга, логирования и observability; — Обеспечение безопасности инфраструктуры и внедрение DevSecOps-практик; — Работа с отказоустойчивостью, backup и Disaster Recovery. Требования: — Уверенное администрирование Linux и хорошее понимание TCP/IP, routing, VLAN, NAT, VPN; — Практический опыт с Docker и Kubernetes; — Опыт работы с Helm, Terraform; — Опыт построения CI/CD: GitLab CI / GitHub Actions / Jenkins; — Опыт с Vault и управлением секретами; — Опыт с мониторингом и логированием: Prometheus, VictoriaMetrics, ELK; — Опыт эксплуатации PostgreSQL и Kubernetes Storage; — Понимание принципов безопасности инфраструктуры и least privilege. Будет плюсом: ArgoCD / Flux, Cilium, eBPF, Istio / Linkerd, Talos OS, Velero, сертификаты CKA / CKAD / CKS / Vault Associate. Условия: — Компания: ioka group — Локация: Алматы — Формат работы: офлайн — Уровень: Mid+,Senior — З/п:1 000 000 -1 500 000

Задачи: — Поддержка и развитие CI/CD, Infrastructure as Code и Kubernetes-платформы — Проектирование и развитие наблюдаемости (Observability): метрики, логи, трейсы, алертинг, дашборды (Prometheus, Grafana, OpenTelemetry, Loki и др.) — Диагностика и устранение узких мест: профилирование приложений и инфраструктуры, анализ производительности, тюнинг конфигураций K8s, ОС, сетевых компонентов и СУБД — FinOps и оптимизация затрат: мониторинг и анализ расходов на облачные ресурсы, балансировка между стоимостью и надежностью — Автоматизация рутинных операций, участие в ревью архитектуры и улучшении стабильности системы Требования: — Опыт работы в роли DevOps/SRE/Platform Engineer не менее 2 лет — Уверенное владение Linux и Kubernetes (эксплуатация, отладка, оптимизация ресурсов, понимание работы контроллеров, CNI, CSI) — Практический опыт построения и поддержки CI/CD (GitLab CI, GitHub Actions, ArgoCD и др.) и IaC (Terraform, Pulumi) — Глубокое понимание принципов наблюдаемости и мониторинга: умение проектировать алерты, настраивать сбор метрик/логов/трейсов — Навыки диагностики производительности: анализ bottlenecks, понимание сетевого стека, балансировки нагрузки — Опыт работы с облачными платформами (Yandex Cloud, Cloud.ru, AWS/GCP/Azure) — Знание основ сетевой маршрутизации, DNS, HTTP/gRPC, TLS Будет плюсом: — Опыт работы с сервис-мешами (Linkerd/Istio) — Понимание методологий SRE (SLI/SLO, error budget, incident response, основы chaos engineering) — Сертификации в области Cloud/Kubernetes/SRE/FinOps Условия: — Работа в коллективе ИТ-профессионалов — Возможность самореализации в амбициозных проектах цифровой трансформации компании-лидера в своей отрасли — Отсутствие бюрократии и дух стартапа — Стабильный работодатель — Достойный уровень оплаты, годовой бонус — Конкурентоспособный социальный пакет — Официальное трудоустройство в собственную аккредитованную ИТ компанию со всеми преимуществами — Гибридный график работы.

Задачи: — Установление и поддержка инфраструктурных паттернов для рабочих нагрузок данных. — Проектирование и поддержка эталонных паттернов для платформ данных ZoomInfo: стриминг и месседжинг (Kafka/Confluent, Pub/Sub), операционные базы данных (PostgreSQL/Cloud SQL, MongoDB), аналитические хранилища (BigQuery, Snowflake), поиск (Elasticsearch/Solr), оркестрация и обработка пайплайнов (Apache Airflow/Cloud Composer, Dataflow/Apache Beam), открытые форматы таблиц (Apache Iceberg). — Разработка Terraform-модулей, GitOps-воркфлоу и документированных стандартов для использования командами данных. — Определение CI/CD и GitOps паттернов для задач и пайплайнов данных, сотрудничество с платформенной и дата-инженерной командами для безопасной и автоматизированной доставки данных. — Установление паттернов производительности, стоимости и наблюдаемости, включая оптимизацию запросов и хранения, мониторинг, алерты и практики SLO. — Определение базовых паттернов для резервного копирования, восстановления и аварийного восстановления данных с целями RTO/RPO. — Сотрудничество с FinOps по расходам на уровне данных. — Проведение обзоров рабочих нагрузок команд на соответствие паттернам и помощь в выравнивании. — Проведение POC новых технологий данных и предложений поставщиков в рамках процесса закупок и жизненного цикла технологий. — Определение паттернов подключения управляемых поставщиками сервисов данных к GCP с учетом безопасности, сетей и контроля затрат. — Поддержка усилий по консолидации данных и управлению ими, включая классификацию, резидентство и политику доступа. — Создание эталонных реализаций, написание ADR и сотрудничество с командами для внедрения паттернов. — Участие в еженедельных архитектурных обзорах, расширение библиотеки стандартов и каталога ADR. — Проведение дизайн-ревью, воркшопов и консультирование команд по инфраструктурным вопросам. Требования: — Умение влиять и коммуницировать, представлять рекомендации с прототипами, бенчмарками и обоснованиями. — Опыт архитектуры облачной инфраструктуры на GCP и/или AWS, включая compute, Kubernetes (GKE или эквивалент), VPC, IAM, стоимость и надежность. — Сильные навыки Terraform и GitOps, включая проектирование и ревью модулей. — Умение с уверенностью оценивать дизайн сервис-меш и сетей. — Практический опыт работы с инфраструктурой данных в масштабе от нескольких терабайт до петабайт с высокими нагрузками и чувствительностью к задержкам. — Глубокий опыт в минимум двух областях данных: стриминг и обработка потоков (Kafka/Confluent, Flink), реляционные операционные базы (PostgreSQL), NoSQL (MongoDB), колоночная аналитика и lakehouse (BigQuery, Snowflake, Iceberg), поиск (Elasticsearch/Solr), оркестрация и обработка пайплайнов (Airflow, Dataflow/Beam). — Навыки оптимизации производительности и стоимости, диагностики и исправления медленных или дорогих рабочих нагрузок. — Способность разрабатывать и тестировать прототипы, предпочитая рабочие решения диаграммам. — Опыт проведения технических оценок технологий и подготовки рекомендаций для руководства и закупок. Преимущества: — Опыт поддержки миграции lakehouse или data mesh с инфраструктурной стороны. — Реализация контроля классификации данных, резидентства и соответствия GDPR/CCPA на уровне инфраструктуры. — Опыт эксплуатации графовых или распределённых SQL баз данных. — Знание инфраструктурных требований AI/ML рабочих нагрузок. — Опыт создания или применения AI-усиленных рабочих процессов для разработчиков или архитекторов. — Участие в архитектурных советах или аналогичных органах управления. Образование и опыт: — Степень бакалавра в области компьютерных наук, технической области или эквивалентный практический опыт. — 10–15+ лет опыта в облачной инфраструктуре, платформенной или дата-инфраструктурной инженерии, включая несколько лет установления паттернов и стандартов, от которых зависят несколько команд. Условия: — Удалённая работа. — Годовая зарплата от $157,500 до $247,500 USD. — Дополнительная компенсация, включая бонусы, комиссионные, акции и другие льготы.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Provision AWS infrastructure with Terraform and configure Linux hosts in AWS and the external data center with Ansible, so every environment can be rebuilt from code. Build and run a Kubernetes cluster for shared platform services (observability, Keycloak, HashiCorp Vault, web applications), delivered through GitOps with Argo CD and Helm. Build and maintain GitLab CI pipelines for infrastructure and platform services. Integrate corporate SSO through Microsoft Entra ID and keep user and group IDs consistent across all sites and compute pools. Set up monitoring and alerting across compute pools and platform services with Prometheus and Grafana. Implement encryption, key management, least-privilege access and audit logging, and support the client's security review. What we expect : 5+ years of experience in DevOps, Platform, or Cloud Engineering, including ownership of production environments. Strong hands-on experience with AWS (VPC, IAM, EKS, EC2, S3, KMS) and Terraform. Strong Linux administration skills and Ansible experience. Production experience with Kubernetes, Helm, and Argo CD. Experience building CI/CD pipelines with GitLab CI or GitHub Actions. Experience with Prometheus and Grafana. Experience with SSO integration (OIDC/SAML) using Keycloak and Microsoft Entra ID. Experience with HashiCorp Vault for secrets management. Solid networking knowledge: routing, DNS, firewalls, site-to-site IPSec VPN and hybrid cloud connectivity. Python and Bash scripting for automation. Ability to work independently and communicate directly with client IT, network and security teams. Nice to have : Experience with HPC environments: Slurm, AWS ParallelCluster, Open OnDemand. Experience with Argo Workflows. Experience with hybrid storage and data transfer: NetApp ONTAP, AWS DataSync, rclone. Experience in pharma, life sciences, or other regulated industries. AWS certifications. We offer : Competitive compensation Remote or office work Flexible working hours Healthcare benefits: medical insurance and paid sick leave Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Certifications paid by the company

Location: India Our client is a UK-based B2B software company specialising in technology for the energy and commodity markets. They are looking for a hands-on Principal Software Engineer to join a small engineering team building complex software for the European energy and trading market. This is a technical leadership role first, with people management alongside it. You’ll continue writing and reviewing production code every week while also leading and developing a small team of engineers. Requirements You’ll take ownership of the technical direction of a core product area, working from well-defined requirements through design, development and delivery. Key responsibilities include: Write, review and ship production code regularly using C#/.NET and Azure Lead technical design and make architecture decisions, balancing delivery speed with long-term maintainability Design, develop, refactor, debug, test and support high-quality software Line-manage and mentor a small team of engineers Lead code and design reviews and constructively challenge technical decisions Own automated unit testing and promote strong engineering practices Identify root causes of complex technical issues and implement long-term solutions Contribute to planning, estimation and requirements refinement What We’re Looking For 10+ years of commercial software engineering experience Strong, recent and hands-on C#/.NET experience, including .NET Core/Web API Experience with Azure and cloud-based software development Strong system design and software architecture skills Experience with SQL and NoSQL databases Docker, containerisation and orchestration experience Strong understanding of SOLID principles, design patterns and integration patterns Experience with automated testing and code reviews Proven people management / line management experience while remaining hands-on technically Fluent English and strong communication skills A stable career history and experience working in complex products Nice to Have Experience in fintech, payments, trading, energy or another complex/regulated domain Experience in a smaller product-focused company Infrastructure as Code, such as Terraform, Bicep or ARM GitHub Actions, SonarCloud or CodeQL Experience with multi-tenant SaaS products TypeScript, Angular, JavaScript or Python Benefits Fully remote within India Competitive salary + annual bonus Private medical insurance Flexible working hours 24 days’ annual leave plus bank holidays Regular in-person team gatherings with travel and accommodation covered Opportunity to work on complex software used in live European energy markets