Вакансии

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers’ lives easier while continuously improving internal systems to deliver faster and at the best cost. If you’re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we’d love to hear from you. About the Role Are you passionate about building scalable backend systems while owning the cloud infrastructure that powers them? As a Senior Backend Engineer (Platform & DevOps) at Toters, you'll split your time between designing and developing production-grade backend services and improving the cloud platform, deployment pipelines, and operational excellence that enable our engineering teams to deliver software safely and efficiently. In this role, you'll own services end-to-end—from application design and implementation to deployment, monitoring, scalability, security, and production reliability. Working closely with Software Engineers, Product Managers, and Infrastructure teams, you'll help build resilient systems that power our products while continuously improving the developer experience. In this role, you will: Backend Engineering Collaborate with cross-functional teams to translate business requirements into scalable backend solutions. Design, develop, test, and maintain high-performance backend services using PHP (Laravel). Design and build RESTful APIs and microservices that power customer-facing and internal applications. Write clean, maintainable, and well-tested code following engineering best practices. Optimize application performance, database queries, caching strategies, and system scalability. Participate in architecture discussions and contribute to technical decisions that improve long-term maintainability. Conduct thoughtful code reviews and mentor engineers through technical guidance and best practices. Platform & DevOps Design, build, and maintain cloud infrastructure on AWS to support highly available and scalable applications. Build and improve CI/CD pipelines that enable fast, reliable, and secure software delivery. Manage containerized applications using Docker and Kubernetes. Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or similar tools). Improve system observability through monitoring, logging, alerting, and performance dashboards. Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency. Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews. Implement security best practices for applications, infrastructure, secrets management, and access control. Continuously improve deployment processes, operational tooling, and developer experience across engineering teams. Key Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 6+ years of experience in backend software engineering, with significant hands-on experience in cloud infrastructure and DevOps practices. Strong experience developing backend applications using PHP (Laravel) . Solid understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and software architecture. Experience designing and building RESTful APIs, distributed systems, and microservices. Strong experience with relational databases such as PostgreSQL or MySQL , along with caching technologies such as Redis . Strong hands-on experience with AWS , including services such as EC2, ECS, Lambda, RDS, S3, IAM, CloudWatch, VPC, and SQS. Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools. Experience working with Docker and Kubernetes in production environments. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Strong understanding of Linux systems, networking fundamentals, and cloud security best practices. Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, Prometheus, or the ELK stack. Experience owning production systems, participating in on-call rotations, and resolving production incidents. Strong communication skills with the ability to collaborate across teams and mentor engineers. Passion for building scalable, secure, and reliable systems while continuously improving engineering excellence. Nice to Have Experience with Go , Python , or additional backend programming languages. Experience with messaging and streaming technologies such as Kafka , RabbitMQ , or AWS SQS/SNS . Experience deploying serverless applications using AWS Lambda. Experience with Helm, ArgoCD, or GitOps workflows. Experience building Internal Developer Platforms (IDPs) or improving developer tooling. Experience with service mesh technologies such as Istio or Linkerd. Experience working in high-growth technology companies, e-commerce, or on-demand delivery platforms. AWS certifications are a plus. Why Toters? Flexible work environment with hybrid-friendly roles. Opportunity to work across software engineering and cloud infrastructure, building systems that directly power Toters' products. Solve complex engineering challenges involving backend architecture, cloud infrastructure, automation, and distributed systems. Collaborate with talented engineers in a culture of ownership, mentorship, and continuous learning. Direct impact on products used by thousands of customers every day. Competitive compensation package. Exclusive discounts on Toters orders. First-class medical insurance.

Location: Brussels, Belgium We currently have a vacancy for an Expert in AI/NLP/ML fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on-site at the customer's premises. In the context of the first assignment, the successful candidate will be integrated into the Development team of the company that will closely cooperate with a major client’s IT team on-site. Tasks: Engaging with Business stakeholders, organising workshops and meetings to gather requirements; Analysing needs in the archiving domain and translating them into robust technical specifications; Designing and proposing AI- and cloud-based architectures that are secure, scalable, and costeffective; Developing, testing, and deploying solutions leveraging Large Language Models (LLMs), vector databases, and orchestration frameworks (e.g., LangChain); Building prototypes, Proofs of Concept, and production-ready services using Python and Jupyter Notebooks; Leveraging AWS Cloud Services (e.g., S3, Lambda, SageMaker, Bedrock, API Gateway, ECS/EKS, CloudFormation/Terraform); Preparing and maintaining technical documentation, ensuring knowledge transfer within the team; Integrating solutions into existing data and archiving systems; Monitoring, optimising, and supporting deployed solutions over time; Collaborating closely with Business, IT Infrastructure, and Security teams to ensure long-term sustainability. Requirements Master’s degree in IT or a relevant discipline, combined with a minimum of 13 years of relevant working experience in IT; At least 3 years of experience in LLMs: fine-tuning, prompting strategies, evaluation, and deployment; At least 2 years of experience in LangChain or equivalent frameworks for LLM orchestration; At least 2 years of experience in Vector databases; At least 2 years of experience in Python, with practical use of Jupyter Notebooks; At least 2 years of experience in AWS services for AI, data, and cloud-native development; At least 1 year of experience in Machine Learning Operations, including CI/CD pipelines and monitoring of AI solutions; At least 1 year of experience in data engineering and archiving best practices; Good knowledge of Docker, Kubernetes and security best practices in AI and cloud-based deployments would be an advantage; Knowledge of DevOps/Infrastructure-as-Code tools beyond AWS (Terraform, Ansible) and data governance frameworks and compliance standards (e.g., GDPR) would be an advantage; AWS Solutions Architect, AWS Machine Learning, AWS DevOps Engineer, TensorFlow Developer or equivalent AI/ML credentials, Kubernetes Administrator (CKA), TOGAF or equivalent enterprise architecture framework certifications would be an asset; Excellent command of the English language. Benefits If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (19007/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Обязанности: — технологическое развитие инфраструктуры highload-проекта; — обеспечение стабильной и бесперебойной работы систем; — выявление проблем с производительностью, устранение и предотвращение причин возникновения сбоев продукта и аварий инфраструктуры; — управление CI/CD процессами; — автоматизация инфраструктуры; — обеспечение безопасности; — мониторинг, логирование и обслуживание инфраструктуры; — настройка облачных сервисов компании. Требования: — опыт работы DevOps инженером от 5 лет; — глубокое понимание работы Kubernetes и docker; — умение выстраивать и витвленые пайплайны на Gitlab-ci; — умение анализировать инфраструктуру, выявлять слабые места, выстраивать отказоустойчивые решения; — знание инструментов мониторинга (предпочтение - Prometheus\VictoriaStack, Grafana); — осознанное применение практик IaC; — умение самостоятельно разбираться в поставленных задачах и добиваться ожидаемого результата. Будет преимуществом: — опыт работы с отечественными облаками (ВК, Яндекс, Селектел и т.д).; — опыт администрирования Kafka, s3 хранилищ, RabbitMQ опыт администрирования проектов с ML инфраструктурой (MLFlow etc). Условия: — работа в продуктовой команде с интересными задачами для реализации решений в b2g и b2b секторе; — график работы 5/2 (гибридный режим работы с преимущественно дистанционной формой), в пятницу сокращенный рабочий день; — официальное трудоустройство в аккредитованной ИТ‑компании (в соответствии с ТК РФ); — финансовая мотивация: квартальные и годовые премии, а также вознаграждение за привлечение коллег (реферальная программа); — онбординг, рост и развитие: система наставничества, адаптация новичков и обучение за счёт компании; — социальные льготы и компенсации: компенсация питания и проезда (для офисных сотрудников); частичная компенсация занятий спортом; социальные выплаты по особым случаям (рождение ребёнка, свадьба и др.); дополнительные оплачиваемые выходные дни; оплата психологических консультаций; — медицинское обеспечение: ДМС со стоматологией предоставляется после успешного прохождения испытательного срока; — яркая жизнь в команде: праздники, спорт, тимбилдинг и настольные игры прямо в офисе!

Задачи: — Разворачивать, масштабировать и администрировать кластеры Kubernetes (Openshift / OKD) — Разворачивать и администрировать кластеры Ceph (Rook) и работать с CephFS/RBD — Автоматизировать производственные процессы с использованием GitLab, ArgoCD, Helm и других инструментов в соответствии с методологией GitOps — Разворачивать и администрировать хранилища артефактов, такие как GitLab, Nexus, Harbor, S3 (MinIO) — Разворачивать, администрировать и обслуживать системы класса IAM, такие как Keycloak — Обеспечивать мониторинг решений на базе Prometheus, Victoria Metrics, Zabbix в сотрудничестве с подразделением мониторинга — Работать с соседними подразделениями для предоставления сетевых доступов и заказа ресурсов — Поддерживать пользователей платформы на уровне 3 линии Требования: — Опыт работы с современными платформами контейнеризации приложений Kubernetes / OpenShift / OKD и экосистемой для их эксплуатации — Опыт с Native Docker / Swarm будет плюсом — Уверенное знание облачных технологий — Опыт построения платформенных решений для эксплуатации информационных систем — Опыт построения высоконагруженных систем, с требованиями по отказо- и катастрофоустойчивости — Уверенные навыки администрирования *nix — Знание и применение подходов DevOps, CI / CD, IaC / NaС — Знание и понимание работы с LDAP каталогами — Опыт работы с хранилищами артефактов (репозитории кода, registry и т.д.), умение их интегрировать в единое целое Условия: — Оформление по ТК в аккредитованной IT-компании — Конкурентная заработная плата и квартальные премии — Гибридный формат работы на территории РФ — График работы 5/2 с 9 до 18 (возможны редкие визиты в офис, не более 1 раза в месяц) — Материальная помощь в случае важных событий в жизни — Корпоративное обучение у топовых провайдеров и доступ к онлайн-библиотеке — Корпоративные тренировки и спортивные активности: бег, футбол, волейбол, баскетбол, теннис и другие — Комьюнити по интересам — Скидки от партнеров на ДМС, связь, развлечения, подарки, спорт и т.д.

Задачи: — Разворачивать компоненты в Kubernetes: Helm, операторы, values по контурам/кластерам, квоты, taints, node pools; — Вести GitOps (Argo CD, Flux): состояние контура совпадает с git; — Сопровождать CI моделей и сервисов: Jenkins-пайплайны обучения и инференса, перенос в GitLab CI; — Настраивать MLOps-контур: MLflow и S3/MinIO — реестр и артефакты; Airflow, Argo Workflows, Spark — batch; KServe, Seldon — online и LLM; — Поднимать зависимости: PostgreSQL, Kafka, Redis, OpenSearch, RabbitMQ; — Строить observability: VictoriaMetrics, Grafana, Vector, Kafka, Elasticsearch / Loki / VictoriaLogs, алерты, в том числе по GPU; — Настраивать доступ: Istio, cert-manager, F5, OIDC (Dex, Keycloak); — Закрывать требования ДКБ: RBAC, сервисные аккаунты и ТУЗ, секреты, образы, аудит, разделение контуров; — Разбирать инциденты платформы и доводить модель от артефакта в MLflow до запуска в целевом контуре. Требования: — Самостоятельно выводили компонент в промышленный контур; — Kubernetes: операторы, RBAC, NetworkPolicy, StorageClass, пулы нод, обновление без простоя; — GitOps и CI/CD: чарт, values по средам, сборка, доставка, откат; — Понимание MLOps-цикла: обучение, реестр, артефакты в S3, batch по расписанию, online-serving; — Опыт в банке или контуре с сопоставимым ИБ: несколько сред, согласование изменений, аудит, секреты, разграничение доступа; — Linux, ingress/TLS, диагностика по логам и метрикам. Будет плюсом: — KServe, Seldon, Spark on Kubernetes, GPU в Kubernetes, миграция Jenkins → GitLab CI, Vault/SOPS, Longhorn, требования CIS/ДКБ к контейнерным платформам. Условия: — Стабильный и прозрачный доход: размер заработной платы обсуждается по итогам собеседования; — Работа в agile-команде; — Удаленный формат работы; — Сложные и интересные задачи, современный стек технологий; — Возможность вертикального и горизонтального карьерного роста: регулярно проходят тренинги, вебинары, митапы и демо-дни; — Доступ к бесплатным корпоративным библиотекам Alpina Digital, MyBook и бизнес-изданий; — Предложения от Банка только для сотрудников: собственный спортзал, а также скидки на услуги туристических агентств, продукты питания, в рестораны, бары, магазины.

Location: Azerbaijan; Ukraine About Onedome We're a UK fintech building high-throughput digital infrastructure for the mortgage and property space. Recently acquired Trussle. We're taking our platform to the next level: fully automated, self-healing, observable, and built to handle real traffic spikes (we have a TV launch coming up). The role You'll be our senior platform engineer. Not a traditional ops role. You'll treat infrastructure as a product, build the internal developer platform our engineers deploy through, and bring SRE discipline into the application tier when it's needed. You won't have a platform team to lean on. You'll be building that capability. We know exactly what we need. What you'll do Own 5 AWS accounts across the organisation (QA, Prod, Infra, plus two others) Architect and maintain infrastructure as code with Terraform. Replace the click-ops that's still around Stand up CI/CD pipelines engineers actually want to use. Blue/green and canary where it makes sense Run releases reliably and reduce key-person risk on the deploy process Set up monitoring, alerting, and incident response so we catch issues before customers do. Define SLIs and SLOs that map to real user journeys Lead incident response as the primary infra responder. Run blameless post-mortems Patch and harden the platform. We're a fintech, this matters. IAM least privilege, secrets management, vulnerability scanning, MFA enforcement Lead infrastructure work for the TV launch: traffic spikes, autoscaling, capacity planning, runbooks Partner with backend engineers when production issues cross into the app tier. JVM tuning, connection pools, async patterns, memory leaks Architect multi-region DR. Drive the platform toward self-healing Optimise cost across DynamoDB, Lambda, and the wider AWS footprint Set architectural guardrails with tech leads and SWEs. Mentor engineers as the platform capability grows You must have 6+ years hands-on AWS in production (VPC, IAM, EC2/ECS/EKS, Lambda, S3, CloudFront, Route53, RDS, DynamoDB, SQS) Production Terraform (Terragrunt a plus). Multi-environment state management Production Kubernetes and Docker. EKS specifically Strong CI/CD experience: GitHub Actions, GitLab, Jenkins, or ArgoCD. GitOps practices Strong infrastructure security: IAM least privilege, secrets, patching, vulnerability scanning, MFA enforcement Observability from scratch: CloudWatch, Datadog, Grafana, Prometheus, OpenTelemetry, or ELK Solid backend competency in Java (Spring Boot), Python, or Node. Understanding of JVM, concurrency, async systems Comfort being the senior infrastructure person. Self-directed, opinionated, disciplined about documentation B2/C1 Level English Nice to have Fintech or other regulated industry experience DynamoDB at scale (we run many tables with PITR and S3 exports, Lambda-driven daily incrementals) AWS cost optimisation track record Past experience as a first infrastructure hire at a small team Building internal developer platforms or self-service tooling AWS DevOps Pro, Solutions Architect Pro, or CKA Service mesh experience (Istio, Linkerd) and DevSecOps practices Firebase or GCP exposure (we have a small footprint there) What you won't get from us A platform team to lean on. You'll be building that capability Click-ops everywhere. You'll be replacing what exists with IaC Ambiguity about the work. We know exactly what we need Working setup UK working hours. Fully remote across the EU Tooling: Microsoft 365, Teams, Planner, Nuclino, GitHub aws-vault with MFA enforcement on all accounts Sustainable on-call rotation Salary: $4,000 – $5,000 / month

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As a Staff Software Engineer, you’ll drive important technical initiatives and provide other engineers with a clear illustration of extraordinary engineering.  We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value. As a Staff Software Engineer (Full-Stack) on the Central Creative Tools team, you will work closely with artists, discipline leads, and other engineers to gather requirements and implement the long-term vision for the team’s tooling.  In this role you will be hands-on in conceptualizing, planning, implementing, and maintaining the tools that power content creation workflows utilizing Digital Asset Management (DAM) to make creatives more efficient. You will report to the Director of Technical Art on the team. Responsibilities: Implement the foundational elements of the studio’s Digital Asset Management (DAM) system to support each game team’s creative tools ecosystem Be hands-on in development, writing excellent code that sets a high standard for other engineers. Evaluate, integrate, and operate AI-assisted engineering tools that improve code quality, reliability, security, performance, and developer productivity across the software delivery lifecycle Lead the technical execution of multi-month to year-plus work efforts across the business unit, holding teams to established standards. Help teams navigate ambiguity and complexity by breaking down problems, identifying risks, and clearly communicating trade-offs. Implement the technical vision, architecture, and execution for the tools engineering team in accordance with overall goals of team leadership. Collaborate effectively with production, design, art, and other engineering teams to deliver tools that are purpose-driven, robust, and scalable Champion tooling best practices across multiple teams including design, tech art, UX, and gameplay engineering Review and identify new and shared developer tooling technologies, both internal and external, as possible opportunities for the team Provide documentation and trainings on new tools and workflows to internal customers Partner with game developers, infrastructure engineers, and QA teams to align release processes with development needs. Required Qualifications: 6+ years of professional experience in software engineering, including experience delivering live or shipped products at scale Experience supporting AI/ML platforms, inference services, model-serving systems, data pipelines, or GPU-backed workloads 3+ years working on game development tools Experience in Unreal Engine and awareness of upcoming tools from Epic B.S. in computer science or equivalent experience Proven ability to navigate ambiguity and influence cross-functional stakeholders Strong communication skills across technical and non-technical audiences Knowledge within a diverse set of public cloud technologies: AWS RDS, S3, EC2, etc. Proficiency in GoLang, C++ and C#, and familiarity with Java / Typescript. Experience working with large game teams and large code bases Experience collaborating with teammates across multiple disciplines Desired Qualifications: Experience working in Digital Asset Management (DAM) systems Experience of working with desktop applications Professional experience creating tools in Unreal 5 Experience collaborating with teammates across multiple disciplines Product sense, pragmatism, and player empathy in making tech decisions For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As a Staff Software Engineer, you’ll drive important technical initiatives and provide other engineers with a clear illustration of extraordinary engineering.  We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value. As a Staff Software Engineer (Services) on the Central Creative Tools team, you will work closely with artists, discipline leads, and other engineers to gather requirements and implement the long-term vision for the team’s tooling.  In this role you will be hands-on in conceptualizing, planning, implementing, and maintaining the tools that power content creation workflows utilizing Digital Asset Management (DAM) to make creatives more efficient. You will report to the Director of Technical Art on the team. Responsibilities: Implement the foundational elements of the studio’s Digital Asset Management (DAM) system to support each game team’s creative tools ecosystem Be hands-on in development, writing excellent code that sets a high standard for other engineers. Evaluate, integrate, and operate AI-assisted engineering tools that improve code quality, reliability, security, performance, and developer productivity across the software delivery lifecycle Implement new components and feature sets for our data platform solutions in multiple problem spaces including backend services, deployment, and monitoring Help teams navigate ambiguity and complexity by breaking down problems, identifying risks, and clearly communicating trade-offs. Champion the technical vision, architecture, and execution for the tools engineering team with production and management Collaborate effectively with production, design, art, and other engineering teams to deliver tools that are purpose-driven, robust, and scalable Provide documentation and trainings on new tools and workflows to internal customers Partner with game developers, infrastructure engineers, and QA teams to align release processes with development needs. Required Qualifications: 6+ years of professional experience in software engineering, including experience delivering live or shipped products at scale 3+ years working on game development tools Experience supporting AI/ML platforms, inference services, model-serving systems, data pipelines, or GPU-backed workloads Experience with distributed system architectures and with maintaining large scale cloud services within a diverse set of public cloud technologies: AWS RDS, S3, EC2, etc. B.S. in computer science or equivalent experience Proven ability to navigate ambiguity and influence cross-functional stakeholders Strong communication skills across technical and non-technical audiences Proficiency in GoLang, Java, C++ and C#. Experience working with large game teams Experience working with large code bases Experience collaborating with teammates across multiple disciplines Desired Qualifications: Experience working in Digital Asset Management (DAM) systems Experience of working with desktop applications Experience collaborating with teammates across multiple disciplines Product sense, pragmatism, and player empathy in making tech decisions For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Задачи: — Развивать модели прогнозирования спроса и ценовой эластичности; — Исследовать подходы к causal inference, uplift-моделированию и оценки эффекта изменения цены; — Проектировать временную валидацию, backtesting и бизнес-метрики качества; — Работать с uncertainty, confidence, intermittent demand, cold start и long-tail SKU; — Разрабатывать логику выбора оптимальной цены с учётом бизнес-ограничений; — Организовать оценку plan/fact и мониторинг качества моделей; — Участвовать в проектировании feature engineering, batch training и batch inference на больших объёмах данных; — Проводить design review, code review и менторить ML-специалистов команды. Требования: — Опыт в классическом ML от 3 лет; — Сильная база в классическом ML, статистике и работе с табличными данными; — Опыт с forecasting, временными рядами и gradient boosting: LightGBM, CatBoost или XGBoost; — Понимание causal inference и экспериментального дизайна; — Опыт доведения ML-моделей до production; — Уверенное владение Python и SQL; — Понимание временной валидации, data leakage, calibration и uncertainty estimation; — Опыт работы с Airflow или аналогичным оркестратором; — Понимание принципов распределённой обработки данных, партиционирования и оптимизации вычислений; — Умение связывать ML-метрики с измеримым бизнес-эффектом; — Опыт в retail, e-commerce, pricing или demand forecasting; — Практический опыт с PySpark, Trino, Iceberg, S3, dbt или ClickHouse; — Опыт с price optimization, hierarchical forecasting или operations research; — Опыт построения ML-мониторинга и проведения A/B-тестов. Условия: — Занятость full-time — Формат работы: удалённая, гибридная или офис (Москва, Краснодар)

Требования: — Отличные знания и опыт разработки на Python — Хорошие знания и практический опыт с одним из фреймворков (FastAPI / Django / Flask) — Умение эффективно работать с AI-инструментами (Claude Code / Cursor / Codex / OpenCode): формулировать чёткие задачи, итеративно уточнять промпты и проверять результат — Понимание принципов построения RAG-систем: chunking, embedding, retrieval, ранжирование результатов — Опыт работы с LLM API — Понимание принципов разработки, алгоритмов и структур данных Будет плюсом: — Опыт построения или поддержки ETL-пайплайнов — Опыт с AWS (S3, Lambda, S3Vectors)

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 : Design, develop, and maintain production data pipelines using Python, Apache Airflow, Snowflake, and Amazon S3 Design and evolve scalable data architectures, including Bronze, Silver, and Gold data layers Develop data models and implement incremental loading, historization, versioning, and reusable transformation patterns Write and optimize complex SQL transformations, views, stored procedures, dynamic tables, streams, tasks, and scheduled jobs Integrate data from relational databases, APIs, object storage, and file-based sources Implement data-quality checks, validation, reconciliation, lineage, monitoring, and robust error-handling processes Manage Snowflake access controls, roles, permissions, service accounts, and deployment across development, staging, and production environments Maintain CI/CD pipelines for Snowflake objects, Airflow DAGs, and Python code using Git and automated testing Monitor and troubleshoot production pipelines and proactively improve reliability and performance Collaborate with data, analytics, engineering, and other technical teams to translate business and technical requirements into reliable data products Create technical documentation and specifications following established quality and compliance standards What we expect : 5+ years of experience in Data Engineering, including at least 3 years working with production data platforms Strong hands-on experience with Snowflake, including Data modeling, RBAC and access management, Warehouse management, Query profiling and performance optimization, Stored procedures Advanced SQL skills, including complex joins, CTEs, window functions, incremental processing, and query optimization Strong Python skills for ETL, database integration, automation, error handling, and testing Production experience with Apache Airflow, including DAG development, dependencies, sensors, task groups, retries, backfills, and operational support Experience working with relational databases, object storage, APIs, and file-based data sources Strong understanding of modern data architectures, including medallion and dimensional modeling, slowly changing dimensions, natural and surrogate keys, and historization Experience with Git, pull requests, automated testing, and CI/CD for data pipelines and database code Strong problem-solving skills and the ability to work independently in a production environment Snowflake and Apache Airflow are core requirements for this role; experience only with alternative data warehouses or orchestration tools would not be sufficient Nice to have : Experience working in regulated or validated environments Background in life sciences, healthcare, clinical, laboratory, genomic, or bioinformatics data Experience working with LIMS or other scientific/clinical data systems Familiarity with OMOP or other standardized clinical data models Experience with data-consumption and visualization tools such as Tableau or Streamlit Familiarity with scientific or computational workflows and tools such as Nextflow or similar workflow orchestration platforms SnowPro certification Experience with AWS Managed Workflows for Apache Airflow (MWAA) We offer : Competitive compensation Remote work Flexible working hours A team with excellent tech expertise

Задачи: – Развивать платформу данных; – Разрабатывать и оптимизировать ETL/ELT-процессы; – Работать с batch- и streaming-пайплайнами; – Развивать модели данных и хранилище; – Повышать производительность и надежность платформы; – Настраивать мониторинг, алертинг и контроль качества данных; – Автоматизировать эксплуатационные процессы; – Участвовать в технических ревью и развитии инженерных практик команды. Требования: – Уверенное владение Python и SQL; – Опыт работы с Spark, Clickhouse, Hadoop, Kafka, Greenplum, S3 (Ceph, Minio); – Опыт написания DAG-ов для Airflow; – Опыт работы с Docker и K8S; – Навыки работы с Linux; – Навыки работы с Git.

Location: Lisbon, Portugal About the Role We are seeking an experienced UiPath RPA Developer with strong Python skills to join our automation team. The ideal candidate will have hands-on experience designing and deploying UiPath automation solutions, combined with deep Python proficiency for building custom integrations, scripts, and data processing pipelines. You will work closely with business analysts, solution architects, and cross-functional teams to deliver end-to-end automation that drives operational efficiency. Responsibilities Design, develop, and deploy UiPath RPA workflows and automation solutions across attended and unattended processes. Write clean, efficient Python scripts and custom UiPath activities to extend automation capabilities and integrate with external systems. Analyze, debug, and optimize existing UiPath workflows and Python-based automation components to improve reliability and performance. Collaborate with business stakeholders to gather process requirements, conduct feasibility assessments, and translate manual workflows into automated solutions using UiPath Studio. Build and maintain Python-based integrations with REST APIs, web services, and data pipelines that complement UiPath automation workflows. Develop and maintain test frameworks using UiPath Test Suite and Python (pytest) to ensure automation reliability and quality across deployments. Manage and monitor robots via UiPath Orchestrator, including scheduling, queue management, alert configuration, and performance reporting. Maintain version control of UiPath projects and Python code using Git, and support CI/CD pipelines for automated deployment of RPA solutions. Leverage Python for web scraping, data transformation, and pre/post-processing tasks that feed into or extend UiPath automation pipelines. Interact with AWS services (S3, Lambda) and other cloud infrastructure to support scalable, cloud-based RPA deployments. Stay updated with emerging technologies and contribute ideas for improvements. Qualifications Education: Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience). Experience: 3+ years of UiPath RPA development experience, with at least 2 years of strong Python programming skills. Technical Skills: Strong proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Test Suite; UiPath RPA Developer certification preferred. Advanced Python skills including scripting, automation, data manipulation (pandas, NumPy), and API integration. Experience with web scraping tools (e.g., Playwright, Selenium) for browser automation and integration with UiPath workflows. Basic knowledge of SQL and database concepts (e.g., PostgreSQL, MySQL). Experience with version control systems (e.g., Git). Understanding of REST APIs and JSON. Familiarity with AWS services, especially Lambda functions and S3 buckets. Experience building custom UiPath activities or integrations using Python or .NET to extend native UiPath capabilities. Familiarity with Linux/Unix environments. Soft Skills: Strong problem-solving and analytical skills. Ability to work collaboratively in a team environment. Good communication skills and a willingness to learn. Attention to detail and commitment to quality. Preferred Skills: UiPath Advanced RPA Developer or Solution Architect certification. Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling RPA infrastructure. Familiarity with process mining or task capture tools (e.g., UiPath Process Mining, Task Capture) for identifying automation opportunities. Experience with Agile/Scrum methodologies and automation CoE (Center of Excellence) governance practices. Knowledge of containerization (Docker) and CI/CD tooling (Jenkins, GitHub Actions) for automated RPA deployment pipelines. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Требования к специалисту: — Коммерческий опыт в DevOps или SRE от 4 лет. — Реальный опыт проектирования и построения инфраструктуры с нуля. — Опыт эксплуатации Docker Swarm в production. — Уверенное знание и production-опыт Kubernetes. — Опыт настройки GitLab CI/CD, раннеров и пайплайнов для фронтенда и бэкенда. — Понимание сетевой модели и проксирования через Nginx. — Опыт эксплуатации Percona XtraDB Cluster / Galera в production: кворум и split-brain, SST/IST, bootstrap после падения, бэкапы через Percona XtraBackup. — Опыт работы с Docker, PostgreSQL, Redis и S3-совместимым хранилищем. — Опыт настройки Prometheus, Grafana, Loki и Zabbix. — Готовность участвовать в архитектурных решениях, работе с командами разработки и технических переговорах с подрядчиками. Задачи: — Спроектировать и развернуть инфраструктуру продукта с нуля. — Настроить CI/CD пайплайны для фронтенда и бэкенда. — Поднять и сопровождать кластер Docker Swarm и процессы деплоя. — Спроектировать и провести миграцию на Kubernetes после завершения переезда. — Администрировать Percona XtraDB Cluster: отказоустойчивость, бэкапы и восстановление. — Настроить мониторинг, алертинг и логирование. — Работать с командами разработки и участвовать в технических переговорах с подрядчиками.

Задачи: — Разрабатывать Python / SQL-пайплайны загрузки и обработки данных из файлов, API и информационных систем. — Проектировать таблицы хранилища: сущности, связи, правила преобразования. — Встраивать псевдоанонимизацию и проверки качества в потоки данных. — Готовить признаки и версионируемые train/validation/test-выборки. — Обеспечивать прослеживаемость и воспроизводимость ML / LLM-экспериментов. — Вместе с ML-командой развивать оценку моделей, подготовку данных для RAG и дообучения. Требования: — Уверенные Python и SQL, поддерживаемый код за пределами ноутбуков. — Практический опыт ETL / ELT: оркестрация, инкрементальная обработка, повторные запуски. — Опыт с S3, Parquet, pandas / Polars / PyArrow. — Понимание жизненного цикла ML: выборки, baseline, метрики, проверка утечек. — Опыт с MLflow, ClearML или аналогами. — Linux, Git, Docker, CI/CD. — Умение работать с чувствительными данными. Условия: — Занятость: full-time — Формат работы: гибридный / удаленный по РФ

Проект: Федеральный ритейл и еком. Задачи: — Функциональное, интеграционное и API-тестирование микросервисов транспортных компаний, работа с курьерской доставкой и выдачей на ПВЗ, подготовка тестовой модели и тест-кейсов, автоматизация регрессионных проверок API на Python. — Тестирование процесса декомпозиции монолитного PHP-приложения и переноса бизнес-функциональности в микросервисы на Go. — Проверка сохранения текущего поведения системы, API-контрактов, интеграций, корректности миграции и обработки данных. — Проведение функционального, интеграционного, регрессионного и сквозного тестирования. — Выявление расхождений между монолитом и новой микросервисной реализацией. Требования: — Общий опыт работы: от 3 лет в тестировании backend-сервисов, API и интеграций между корпоративными системами. — Опыт API-тестирования от 3 лет. — Опыт тестирования микросервисов от 3 лет. — Опыт работы с SQL/PostgreSQL от 2 лет. — Опыт тестирования асинхронных процессов и очередей/worker-компонентов от 2 лет. — Опыт работы с Docker/Kubernetes от 1 года. — Опыт работы с Jira/Confluence/GitLab от 1 года. — Релевантный проектный опыт: не менее трех коммерческих проектов уровня Enterprise. — Обязателен опыт тестирования микросервисной архитектуры, API-контрактов, интеграций с legacy-системами, асинхронной обработки, retry-логики, обработки ошибок внешних систем, идемпотентности и повторной выдачи результатов. — Отраслевой опыт: E-commerce, транспортная логистика, складская логистика. — Обязательные технологии/инструменты: Python для автотестов, pytest или аналогичный Python-фреймворк, REST API, Postman/Insomnia или аналоги, Swagger/OpenAPI, PostgreSQL, SQL, JSON/JSONB, GitLab, Jira, Confluence, Docker, Kubernetes, S3-совместимое хранилище, инструменты анализа логов и мониторинга. Желательные технологии/инструменты: — Опыт написания unit/integration/contract-тестов, RestAssured/Newman или аналоги, Kafka или RabbitMQ, Redis, MinIO, Grafana, Prometheus, OpenTelemetry, Allure/TestRail/Zephyr, Charles/Fiddler, PlantUML/C4. — Системы учета задач и документации: Jira, Confluence, GitLab. — Необходимо вести тест-кейсы, чек-листы, дефекты, результаты тестовых прогонов, фиксировать тестовые данные и ежедневно предоставлять отчет о проделанной работе в согласованном канале коммуникации.

Netflix is a global streaming platform and entertainment company producing and distributing films, series, and documentaries worldwide. Key requirements: — Java — Python — AWS (EC2, S3) — Kubernetes Location: — On-site (Warsaw, Poland).

О проекте: Платформа разработки, валидации, транспорта и развёртывания DWH-объектов между ландшафтами (DEV → TEST → PROD). Целевые СУБД: ADB (Greenplum) и ADQM (ClickHouse). В продуктиве — CLI-конвейер Linter → Builder → Deployer. В работе — интегрированный сценарий: Backend (Repository / Transport / Deploy Orchestration / Load / Admin), Execution Service, Deployment Worker, peer Transport API и Web UI поверх CLI. Задачи: — Разработка и развитие модулей toolchain на Python: mors-linter, mors-builder, mors-deployer (CLI на Typer, packaging через uv/Hatchling). — Доработка и реализация интегрированного сценария на FastAPI: Web API (M-API), модули Repository, Transport, Deployment Orchestrator, Load, Administration; единый error-contract (ApiError), health-checks, OpenAPI. — Реализация peer Transport API между ландшафтами: multipart/form-data (metadata + artifacts), status poll, маршруты DEV/TEST/PROD; интеграция с Deployment Worker (BUILD_PACKAGE / DEPLOY_PACKAGE) над CLI. — Проектирование и работа с PostgreSQL: Metadata DB и Operational DB (раздельные инстансы), typed JSONB definitions, dependency index, locks (EDIT/IMPORT), транзакции, FOR UPDATE / очереди на БД (SKIP LOCKED). — Статический анализ SQL/YAML/конфигов DWH-проектов (sqlglot, sqlparse, networkx); правила именования, namespaces, циклические зависимости, диалекты Greenplum/ClickHouse. — Логика сборки транспортных артефактов и деплоя: стратегии миграций (create / alter / skip / drop / recreate / shadow), DB locks, логирование в deployer_metadata. — Интеграции: S3-compatible ArtifactStore (boto3; MVP — BYTEA, S3 — эволюция), Artifactory / private PyPI, GitLab CI. — Покрытие Unit- и Integration-тестами (pytest), Code Review, рефакторинг, отладка сквозных сценариев Activate / Import / Transport / Deploy. — Участие в Spec-Driven Development (specs, C4/Structurizr, ADR); стыковка с frontend по JSON/OpenAPI (Repository tree, OBJREQ/OBJTRAN, RUNMON, Admin). Требования: — Уверенный Python 3.10+ (желательно 3.11–3.13); — Опыт FastAPI (routing, Depends, Pydantic-модели, OpenAPI, middleware, multipart upload); — Опыт CLI (Typer / Click / argparse); — Понимание asyncio; клиенты httpx / aiohttp для peer-вызовов; uvicorn/gunicorn для сервисов; — Отличное знание PostgreSQL (транзакции, JSONB, индексы, advisory/FOR UPDATE locks, миграции схем — Alembic или аналог); — Опыт работы с Greenplum/PostgreSQL DDL через драйвер (psycopg2 / psycopg3); — Прямой SQL + понимание ORM (SQLAlchemy — плюс); — Знание SQL / DWH-домена: схемы, таблицы, views, functions, roles, external/FDW, transforms; жизненный цикл объектов склада; чтение и составление сложных SQL; — Парсинг и графы: sqlglot/sqlparse (или аналоги), графы зависимостей (networkx), топологический порядок выполнения; — Валидация и конфиги: Pydantic / pydantic-settings, PyYAML, TOML; env-based конфигурация (environs / dotenv); — Работа с артефактами и файлами: ZIP/архивы, файловая структура проектов, S3 API (boto3); — Принципы разработки: SOLID, DRY, KISS, YAGNI; модульный дизайн; понимание Clean Architecture / hexagonal на уровне сервисов; — Инструменты: Git, uv, packaging (Hatchling/wheel), pre-commit (black, isort, mypy), GitLab CI; — Тестирование: pytest (+ pytest-cov, pytest-mock), Unit и Integration; умение писать тесты на API (TestClient / httpx ASGI); — Базовые знания фронтенда: JavaScript/TypeScript, HTML/CSS, JSON/AJAX для работы с UI-командой и OpenAPI; — Адекватная оценка сроков, ответственность за изменения, работа по Agile (Scrum/Kanban), Jira.