Вакансии

Location: Estonia; Finland; Greece; Latvia; Romania; Sweden 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. 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

Location: Cyprus; Ireland; Malta; Moldova; Montenegro; North Macedonia; 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, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, 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

Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania 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. 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

Location: Moldova; Montenegro; 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 countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro 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

Workplace: fully Role Overview: Join a manufacturing sector project focused on migrating ERP systems to Microsoft Dynamics 365 and building a modern analytics platform using Microsoft Fabric and Power BI . The role combines business-focused Sales & Operations Planning (S&OP) initiatives with analytics and data modeling responsibilities, helping transform planning and operational data into reliable business insights. You will work across D365 , Microsoft Fabric , Power BI , Lakehouse architecture , and modern data analytics practices to support planning, reporting, and decision-making processes. Key Responsibilities: Help shape the client's Sales & Operations Planning (S&OP) process, aligning sales, demand, supply, and inventory planning across a manufacturing business. Collaborate with business stakeholders to assess current planning practices, identify gaps, and define planning requirements, KPIs, and reporting priorities. Translate S&OP requirements into analytical data models and Power BI dashboards supporting demand and supply balancing, inventory visibility, and plan-versus-actual analysis. Identify and integrate data from Dynamics 365 and other business systems into Microsoft Fabric , ensuring reliable and consistent planning inputs. Collaborate with the ERP implementation team to align analytics solutions with business processes and data structures introduced through the Dynamics 365 migration. Validate data and analytical outputs with business users, investigate discrepancies, and support solution adoption during regular S&OP reviews. Design and develop analytics solutions using Microsoft Fabric and Power BI . Develop and optimize data processing solutions using Spark and SQL . Contribute to Lakehouse and Data Warehouse (DWH) architecture implementation, including Medallion Architecture (Bronze → Silver → Gold) . Must-Have Requirements: Hands-on experience implementing or improving Sales & Operations Planning (S&OP) processes in a manufacturing environment, including demand and supply planning, inventory management, and alignment between sales and operations. Hands-on experience with Microsoft Fabric . Experience in D365 data analysis and data modeling. Strong knowledge of Spark and SQL . Understanding of Lakehouse , DWH concepts , and data modeling . Experience working with Medallion Architecture (Bronze → Silver → Gold) . 👍 English: upper-intermediate 🌍 Location: 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

Тебе предстоит Повысить эффективность пайплайнов для расчета с daily-признаков на основе batch процессинга. Создать эффективный пайплайн для расчёта realtime-признаков на основе Kafka‑топиков.

Location: Москва Дивизион "Моделирование и исследование данных" отвечает за компетенцию Data Science в Блоке. Мы разрабатываем и внедряем end-to-end решения на основе машинного обучения в бизнес-процессы Сети продаж банка. Сейчас мы ищем в команду MLE Data Scientist’а. Обязанности * Ведение всех этапов AI-проекта: от постановки задачи и требований с бизнес-заказчиком до внедрения и мониторинга; * Разрабатывать с нуля AI-агентов и микросервисы для AI-продуктов; * Разрабатывать алгоритмы взаимодействия ML-моделей и сервисных модулей; * Принимать участие в разработке архитектуры и дизайна агентов, ML приложений и AI-сервисов; * Проектировать и разрабатывать backend-части наших систем; * Стэк: 50% Classic ML + 50% Agents. Требования * Компетенции: Python, DE, ML (Classic ML + NLP), Statistics, LLM/Agents, MLOps; * Развитые soft-skill для общения с заказчиком; * Понимание принципов разработки, внедрения и сопровождения AI-решений; * Уметь писать хороший и понятный пром-ready код; * Опыт промышленной разработки на python от 2-ух лет; * Хорошей знание алгоритмов, структур данных, GIL, async; * Опыт работы с реляционными и нереляционными базами данных, понимание границ применимости каждого вида из них; * Опыт построения отказоустойчивых высоконагруженных распределенных систем; * Будем иметь дело с широким набором инструментов и технологий: Python, Elastic, Kafka, FastAPI, Docker, OpenShift, SQL, Spark, Hadoop, GPU, BitBucket. Условия * Полное соблюдение ТК РФ, льготные условия по программам страхования, кредитования для сотрудников Банка;) * График 5/2, офис на м. Кутузовская, гибрид; * Достойный уровень вознаграждения (оклад + внушительная годовая премия); * ДМС с первого дня работы и льготная мед. страховка для близких родственников; * Социальная поддержка сотрудников; * Возможность стать частью команды, реализующей программы цифровой трансформации банка - на основе передового опыта и инновационных идей; * Широкие возможности для профессионального развития: корпоративный университет и множество онлайн-программ обучения. Корпоративное обучение за счет компании; * Бесплатная подписка СберПрайм с возможностью подключения 3 родственников, многочисленные скидки и бонусы от партнеров: СберМаркет, МегаМаркет, Самокат, Еаптека и др.; * Корпоративная пенсионная программа

Развитие скоринговых моделей. Построение предиктивных моделей для задач B2C и B2B кредитования, страхования и e-commerce.

Location: London ROLE Taptap Send is seeking a highly organised and motivated individual to join our Treasury Operations team and help us grow our business. In this role, you will report to the Director of Payments and touch all aspects of Taptap Send's payment operations, with an initial focus on stablecoin funding, working directly with our teams and partners across the world. You'll own the full life cycle of payments, including creating, tracking and confirming crediting of funds, as well as troubleshooting payment issues across our growing Stablecoin operations. You'll also be involved in funding forecasts to ensure that our partners are well funded at all times. You'll work directly with our trading team as well as collaborating with the wider team that spans the globe ( London, Abidjan, Lagos, Nairobi, Paris and New York, to name a few places), ensuring that Taptap Send is effectively supported in its growth and customer ambitions! There is plenty of room for professional progression and personal growth within our friendly and ever-growing Taptap community. RESPONSIBILITIES - Proactively managing treasury operations, initially for stablecoins, to ensure our accounts are funded and payments can be processed seamlessly - Working closely with partners to ensure that funding timelines are being delivered on time - Troubleshooting to find root causes of payment issues and working with internal and external partners to resolve - Assisting with onboarding new banks and trading partners for stablecoin, working closely with our business development team - Providing out-of-hours coverage when required REQUIREMENTS - Have at least 1 years’ experience, ideally in a payments or funding role and/or working with stablecoins - Are passionate about our mission and eager to do what needs to be done to achieve it - Are enthusiastic about treasury operations, solving unique problems, and optimizing processes - Enjoy challenges, are resourceful and think outside the box to find creative ways to tackle problems - Love working in teams and building meaningful relationships with key stakeholders - Don’t hesitate to place a call to promptly resolve issues or persevere to get a result - Have great organisational skills and the ability to manage multiple time-sensitive priorities in a fast-paced startup environment where no two days are the same - Have proven analytical skills (Excel); SQL a plus - Are proficient in English About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Manage complex sales-cycles and present to C-level executives. Close net new logos and expand existing accounts.

You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.

As an Associate Data Engineer at BeyondTrust, you will contribute to building and enhancing our data lake which currently consumes billions of events each day. Contribute to data modelling efforts that support identity security use cases and analytical requirements.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Compute is one of the most capital-intensive and strategically important functions at Baseten. Every inference request we serve runs on capacity we have sourced, contracted, and financed, and the deals behind that capacity are growing in size and complexity. As a member of the Strategic Compute Investments team, you will work on some of the largest and most complex compute investments. Working directly with our Head of Supply, Finance, and company leadership, you will structure, model, diligence, and help negotiate the large compute, data center, and infrastructure transactions that determine how fast and how profitably Baseten can grow. WHAT YOU'LL DO - Own the analytical and structuring work behind major supply transactions, including multi-year capacity commitments, data center and powered land opportunities, and strategic partnerships - Build the financial models that underwrite each deal, from unit economics and TCO through return, risk, and scenario analysis, and turn them into clear recommendations for leadership - Design deal structures that balance cost, flexibility, and risk, including commitment terms, payment timing, prepayments, and financing options - Lead diligence on counterparties and opportunities, coordinating across Finance, Legal, Engineering, and external advisors - Track market pricing, capital flows, and financing trends across the compute and infrastructure landscape to inform strategy WHAT WE'RE LOOKING FOR - 7-10 years of experience in investment banking, private equity, infrastructure or real estate investing, venture or growth investing, management consulting, or a comparable corporate finance or corporate development role - Hands-on experience structuring, modeling, and executing complex transactions from first look through close - Exceptional financial modeling and analytical skills, with the judgment to turn analysis into a clear recommendation - Strong communication skills and comfort working directly with senior leadership and external counterparties - High ownership and comfort with ambiguity: you want to build the process, not inherit one - Genuine interest in AI infrastructure and the economics of compute NICE TO HAVE - Experience investing in or financing digital infrastructure, data centers, power, or energy - Exposure to compute, cloud, or GPU markets, including capacity contracts or infrastructure financing - Prior experience moving from a finance or investing seat into an operating role at a high-growth company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. After 52 years as The World's Greatest Roleplaying Game, D&D's next adventure must turn big ideas into products fans can actually pick up and play. How do we make sure that happens — reliably, on time, and at scale? We're hiring an Associate Manager, Franchise Business to help answer that question and provide the program management backbone behind our franchise growth, licensing, and partner initiatives. This role sits at the intersection of strategy and execution. You'll coordinate cross-functional activity across franchise, licensing, business development, and legal teams — supporting partner negotiations, tracking approvals, and keeping programs on schedule — so that D&D's franchise team can stay focused on finding and building the next great D&D experience. This role is a hybrid role requiring three days a week in our Renton, WA office location. What You'll Do Coordinate multiple concurrent franchise growth and licensing programs, ensuring on-time execution against key milestones. Build and maintain the systems that surface program status, risks, dependencies, and progress for leadership and cross-functional partners. Drive consistency in brand execution and compliance across partners. Manage the flow of partner deliverables for publishing and content operations - leading asset reviews, consolidating feedback, and tracking approvals, to ensure content and promotional materials ship on time and on-brand. Provide data-driven reporting and insights that support business growth decisions and performance tracking. What You'll Bring Experience in program or project management, ideally supporting business development, licensing, or strategic partnership functions. Strong organizational skills and comfort managing multiple concurrent workstreams with competing deadlines. Clear written and verbal communication skills, with experience consolidating stakeholder feedback and driving alignment. Comfort working with data and reporting to track program performance and surface insights. Passion for Dungeons & Dragons is a plus! #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $80,200 — $103,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

🧩 Требования: глубокая экспертиза в одном из направлений — MLOps, Streaming или проектирование архитектуры хранилищ данных с нуля; от 4 лет коммерческого опыта в роли Data Engineer/ETL‑разработчика;

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As Baseten scales, our equity program needs to scale with it - more countries, more entities, and more complexity in how we grant, administer, and report on equity. As the Global Equity Programs Lead, you’ll own that function end to end, building the operating model, controls, and systems that let equity run accurately and efficiently as the company grows. You’ll partner closely with Legal, Tax, Payroll, Compensation, and Accounting to keep the program sound as it scales. RESPONSIBILITIES - Build the operating model for equity administration as the company grows across countries, entities, and increasingly complex transactions. - Run the recurring equity calendar - including grants, vesting events, exercises, releases, terminations, and other participant transactions - with clear ownership, deadlines, and exception management. - Own the integrity of equity records and establish recurring reconciliations across the equity platform, HRIS, payroll, cap table, and accounting records. - Translate compensation and plan decisions into executable workflows, system configurations, approval paths, and employee communications. - Partner with Legal, Tax, Payroll, Compensation, and Accounting on the equity implications of international hiring, employee mobility, acquisitions, liquidity programs, and other corporate events. - Coordinate the operational execution of equity refreshes, including data preparation, approval workflows, grant documentation, system uploads, and participant communications. - Evaluate whether proposed award structures can be administered accurately and at scale, and surface operational, tax, compliance, accounting, and employee-experience risks before launch. - Design a control environment that supports accurate financial reporting, efficient audits, and reconciliations. - Develop reporting that gives Finance and People leadership visibility into dilution, grant activity, vesting, exercises, retention trends, and future program obligations. - Own the equity platform and its surrounding data flows, including configuration, permissions, integrations, vendor performance, and system improvements. - Create employee resources that make equity easier to understand at important moments such as onboarding, grant issuance, vesting, exercise, and departure. - Identify recurring manual work and implement practical automation without compromising review, security, or control. - As the function grows, help define the team structure and determine which capabilities should be built internally versus supported by outside providers. REQUIREMENTS - 8+ years of progressive equity administration or equity operations experience, ideally in a rapidly scaling private or newly public technology company. - Demonstrated ownership of complex equity operations - not only advisory or program-design experience, and a willingness to remain close to the underlying data and transactions. - Strong knowledge of stock options, RSUs, vesting and settlement events, tax withholding, employee mobility, and the operational requirements of equity plans. - Hands-on experience administering a leading equity platform and working with connected HRIS, payroll, accounting, and reporting systems. - A strong control mindset, including experience designing reconciliations, approval workflows, documentation, and audit support. - Ability to diagnose data issues, work through complex exceptions, and establish repeatable processes where no established playbook exists. - Strong cross-functional judgment and the ability to clarify ownership and drive decisions across Legal, People, Tax, Payroll, Finance, and external advisors. - Clear written and verbal communication, including the ability to explain an employee’s equity accurately without giving personal tax or legal advice. - Strong discretion when handling compensation, ownership, transaction, and employee data. - Ability to manage several time-sensitive workstreams while maintaining accuracy and following issues through resolution. PREFERRED QUALIFICATIONS - Certified Equity Professional certification or meaningful progress toward it. - Experience supporting international equity programs and cross-border employee mobility. - Experience with significant corporate transactions affecting equity (e.g., acquisitions, tender offers, financings). - Working knowledge of stock-based compensation accounting and the data Accounting needs for close, forecasting, audit, and financial reporting. - Familiarity with insider trading policies and equity compliance in highly regulated environments. - Experience building or expanding an equity operations team. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

• Анализ требований: - Прием и анализ входящей документации от заказчиков.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Step into the driver's seat of the high-octane engine that powers Docebo’s enterprise automation platform! In this role, you will architect, build, and scale business-critical backend systems in Go and PHP that seamlessly onboard millions of users. You'll serve as the primary technical advisor and force multiplier for our product and engineering teams, solving complex automation logic while directly elevating the technical craft of those around you. If you get excited by high scale, deep architectural ownership, and making a massive impact on enterprise-grade software, your next great journey starts right here! ⚡ THE DAY-TO-DAY - Lead the Charge: Drive complex, multi-sprint technical initiatives from initial spark to seamless deployment while staying ahead of scope, dependencies, and risks. - Architect for Scale: Design and operate high-performing, resilient backend services using Go, PHP, AWS, Kubernetes, DynamoDB, PostgreSQL, and MySQL to effortlessly handle millions of users. - Write Exemplary Code: Craft clean, elegant Go code for our newest automation features while actively maintaining and leveling up our core PHP services. - Elevate the Craft: Conduct thoughtful code reviews, lead technical design discussions, write clear architectural design docs, and establish SLOs to keep our incident rates low. - Multiply Team Impact: Mentor and pair with engineers, guiding their career growth, while acting as a trusted partner to Product and Design to shape our product roadmap. - Tackle Complex Challenges: Balance long-term strategic roadmap delivery with Tier-1 customer escalations and technical debt, diving in to troubleshoot mission-critical issues across the stack. 🛠️ YOUR SUPERPOWERS - Backend Mastery: 4-8 years of software engineering experience with deep expertise in Go and performance-driven batch processing systems, ideally paired with working knowledge of PHP. - System Design Genius: Proven track record of designing, building, and operating scalable microservices, distributed systems, and domain-driven architectures at enterprise scale. - Cloud & Infrastructure Expertise: Advanced, hands-on experience with AWS, Kubernetes, infrastructure as code, and data stores like DynamoDB, PostgreSQL, and MySQL. - Reliability & Observability Guru: Deep understanding of testing strategies (unit, integration, E2E) and modern observability platforms like Datadog to manage incidents and protect long-term system health. - Strategic Force Multiplier: Outstanding ability to mentor teammates, communicate complex technical trade-offs to non-technical stakeholders, and make sound decisions under uncertainty. - Timezone Anchor: Based in Canada to deliver seamless, sustainable timezone coverage for our North American enterprise customers alongside our Italy-based engineering team. 🌟 BONUS POINTS - Cross-Stack Versatility: Strong knack for jumping into moderate complexity tasks outside your primary domain to unblock cross-functional engineering teams. - Continuous Improvement Champion: Passion for driving engineering-wide initiatives, whether standardizing deployment patterns, refining testing practices, or bringing emerging technology innovations into the fold. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.