Вакансии

Location: Cyprus Workplace: hybrid About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. About the role We're looking for a Linux Administrator to join our Infrastructure team, responsible for building, operating and continuously improving all of our infrastructure services — from core services to observability and private clouds. Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu. The stack ranges from core services like LDAP, PowerDNS and NTP, to an observability stack (Prometheus, Thanos, Loki, Grafana, Jaeger) and private clouds based on OpenStack and Kubernetes, as well as services such as GitLab, Artifactory and Vault. You’ll work in a team of experienced infrastructure engineers, using Scrum and Agile practices, with two-week sprints and a strong focus on automation, reliability and continuous improvement. The position is hybrid, with 3 days per week from our office in Limassol or Larnaca, with a flexible start time — anytime before 12:00 pm EET/EEST. Why this role? You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production. It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers. Tasks Oversee various services and associated infrastructure components, including DNS, Gitlab, Artifactory, Vault, Loki, Prometheus etc; Perform day-to-day operational tasks such as upgrades, CVE patching, backup and restore, security scans, and monitoring; Design, configure, maintain and troubleshoot Linux systems across different environments, including bare metal, virtual machines and containers. Resolve incidents, provide support coverage, categorize issues, conduct post-mortems, and perform root cause analysis; Manage and support private clouds (Openstack and Kubernetes); Ensure environments are stable and adhere to availability SLAs; Work towards reducing operational effort; Automate repetitive operational tasks and continuously reduce manual effort; Collaborate with development teams to troubleshoot infrastructure-related issues in production; Keep infrastructure documentation and operational procedures up to date; Engage in constant upskilling to stay updated with industry best practices. Requirements 3+ years of professional experience as a Linux System Administrator, DevOps Engineer, or Site Reliability Engineer, with a focus on infrastructure. Extensive experience in designing, building, configuring, and troubleshooting Linux servers across various environments (bare metal, container, cloud); Experience with Linux server configuration, maintenance and troubleshooting in production. Understanding of process control, logging and Linux service management. Experience with infrastructure services such as Vault, Artifactory, DNS and similar platform components. Proficiency with automation tools such as Chef, Ansible, or Salt; Experience with Docker, Kubernetes and containerized environments; Experience with monitoring and log aggregation tools like Grafana, ELK, or Graylog; Experience in deploying and maintaining systems on cloud solutions such as OpenStack, VMware, Proxmox, or public cloud platforms such as AWS, GCP, Azure. Skilled in scripting languages such as Bash and Python; Familiarity with configuring various servers and databases, including Apache Tomcat, Nginx, MySQL DB, PostgreSQL, Kafka, RabbitMQ, etc; Experience with DevOps tools and CI/CD workflows. At least C1 in Russian and B1 in English. Nice to have Hands-on experience with Kubernetes, including troubleshooting workloads and cluster-related issues. Hands-on experience with OpenStack, including deployment, configuration, maintenance or troubleshooting of private cloud environments. Hands-on experience with Chef. Experience with GitLab CI/CD, Jenkins or GitHub Actions. Experience working with fintech/trading, or other high-load and mission-critical systems. We offer Hybrid work model in our brand-new offices (Limassol or Larnaca). Health insurance and mental health services. 13th salary and 21 vacation days per year. Sick leave without medical certificate: 3 days per quarter. Catered breakfast and lunch at the office. Tuition reimbursement (kindergartens/schools). Onsite Gym. Corporate events and workshops. Bonuses for special events (e.g., child's birth). Birthday and anniversary gifts. Company-provided laptop. Corporate AI subscriptions (Claude, Gemini, GPT, etc.). Access to a rewards marketplace offering a variety of products and language courses, redeemable using the company’s internal currency. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-JM1

Location: Москва В команду сервиса “Новостной мониторинг” требуются Middle ML Engineer. Мы занимаемся разработкой NLP моделей для анализа новостного потока, ключевые задачи: NER, entity linking, классификация. У нас открывается новое направление по OCR. Необходимо будет автоматизировать входящий поток документов в разных форматах. Обязанности ### Задачи: * Есть end-to-end real-time пайплайн обработки новостей - от парсинга до поставки пользователям. Внутри происходит много чего интересного, но не всегда оптимально. Ожидается, что грамотный MLE поможет нам с этим. * Есть задачи по организации хранения данных (сейчас сделано медленное хранилище в PostgreSQL, быстрое - ElasticSearch), по микросервисной архитектуре (есть много докер-контейнеров, можно попробовать все в кубер затащить) и по деплою моделей (хочется организовать автоматическую выкатку в torchserve через gitlab-ci + ansible) Требования ### Требования: * Уверенный Python, SOLID, умение разбираться в чужом коде * БД: PostgreSQL, знание ElasticSearch будет плюсом * ML/DL - sklearn/Pytorch, знание transformers будет плюсом * Gitlab CI, Docker, ansible * Желательно иметь опыт заворачивания торчевых моделей в onnx/tensorrt Условия ### Условия: * ML Space для обучения моделей * Крупнейшее DS&AI community - более 600 DS банка, включая: * Регулярный обмен знаниями, опытом и лучшими практиками * Возможность переиспользования кода и библиотек из централизованного репозитория * Интерактивные лекции и мастер-классы от ведущих ВУЗов и экспертов технологических компаний * Дайджест о самых последних разработках в области DS&AI * Регулярные внутренние митапы

Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:  As our Senior Platform Engineer, you will join a team who strive to push cloud services to the maximum limit every day using cutting-edge technologies. If you are a highly self-motivated professional who embraces DevOps culture, has experience with AWS services and technologies and is passionate about learning, automating, innovating and working in a highly collaborative environment, we'd like to hear from you! The main responsibilities of the position include: Initiate and actively drive the adoption of good patterns, structures and use of technologies for development and operations Investigate and identify practices and work that can benefit from automation Monitor and suggest improvements to the existing CI/CD process to increase speed, safety and reliability Implement and coordinate implementation with the parties involved Develop and maintain existing /GitLab CI pipeline libraries Assist developers with setting up CI/CD for their projects and provide support for any issues that may arise Stay up to date with the latest tools and trends in the industry Provide senior-level, best practice recommendations and implementations to our Windows, Linux and Kubernetes hosting environments Function as a mentor to junior team members, providing technical guidance and recommending continued learning opportunities to help them develop Educate fellow team members as well as Application Development Teams about the platforms used-for and hosted-by our team. Key tools and concepts in this space are: Gitlab, Docker, AWS, Terraform, Istio Service Mesh,  Kubernetes , Kafka, ELK Work with our Security team to remediate high-risk vulnerabilities and ensure the security of our environments are being scrutinised as appropriate for their use case Offer services related to the above tasks and projects to any of the Companies of the Group as instructed by the Line Manager Main requirements: University degree in Computer Science, Engineering, or a similar discipline 7+ years’ experience within the following areas: Cloud ( AWS), Release Pipeline Management, Windows Server Administration, Linux Administration, Certificate Management, PowerShell scripting, Bash/python scripting, Configuration Management and IAC (Ansible/Terraform), DNS, Networking Enterprise-level Kubernetes experience Solid Linux administration skills Commitment to continuous improvement, with a focus on observability, modern application architecture styles, blue-green / canary deployments, CI/CD pipeline management Ability to self-motivate, study, and stay on-top of emerging technologies and trends, while meeting business deadlines Experience with tools including: Istio, Prometheus, Grafana, ELK, MSK, New Relic The following will be considered an advantage: Familiarity with database concepts Working experience with at least one cloud provider (preferably AWS) Experience with Apache Kafka configuration and troubleshooting Experience with ELK configuration and troubleshooting Scripting skills (Bash, PowerShell, Python, Go, etc.) The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Amman, Jordan We are looking to recruit a highly motivated Product Owner with a genuine interest in technology and a passion to deliver cutting-edge and high-quality software products. Responsibilities Understand the overall product Attend team meetings including daily standups, planning, reviews and retrospectives Provide vision and direction to the team and stakeholders throughout the project Elicit and gather requirements from multiple sources, such as customer/stakeholders interviews and meetings, documents analysis, and research Identify functional and non-functional requirements and document them in a clear, concise, and complete manner Determine technical feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solution Analyze the impact of new requirements and changes, providing estimates to the effort needed for delivery. Participate in the software design process with the development team Document and demonstrate solutions by developing documentations, flowcharts, layouts, diagrams, charts, code comments. Author high quality product documentation such as, business requirements documents, software requirements specifications, interface specifications, and API contracts. Build and prioritize product backlog by populating it with user stories and defining their acceptance criteria Conduct backlog grooming and management, iteration planning, and elaboration of the user stories Accept completed user stories to ensure the work fulfills the acceptance criteria Demonstrate iteration/product to customers and product management and gather feedback Requirements Previous working experience as a Product Owner / Business Analyst or a similar field for 2-5 years BSc in Computer Science, Engineering or similar relevant field In-depth knowledge of Agile/Scrum processes and principles; certification is a plus Outstanding communication, presentation and leadership skills Excellent verbal, written, and interpersonal skills in Arabic & English Excellent team player Excellent organizational and time management skills Sharp analytical, problem-solving, and research skills Attention to details Excellent knowledge in UML Excellent knowledge of building APIs and services using REST, Soap, etc. Excellent knowledge in project management tools such as Gitlab, JIRA, etc. Background in software development is preferred Experience in payment systems is a plus Authorities Decide if a feature is accepted of not and hence merged on not Decide on what does a feature include and the system behavior Decide on iterations’ priorities Review, accept iteration outcomes

Location: Home based - EMEA This is an exciting opportunity for a software engineer passionate about open source software, Linux, edge computing, and AI. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company. Your role will be to help us provide easy-to-deploy, secure, and customizable edge AI solutions, specifically focusing on Inference Snaps. You will work on designing and implementing silicon-optimized application packages for AI/ML inference, targeting devices from embedded systems to powerful gateways. Linux will be at the core of your everyday challenges. In our team we value collaboration, peer reviews, good integration/unit testing, and writing maintainable code. General knowledge and experience with Linux as a developer platform is required. What you’ll do Collaborate proactively with a distributed team Develop and maintain open-source AI/ML inference application packages Debug issues and produce high-quality code to fix them Review code produced by upstream and/or other engineers at Canonical Discuss ideas and collaborate on finding good solutions Experiment with Ubuntu Core and showcase industry-grade Edge AI solutions Secure deployment of AI inference platforms on Linux Build optimized AI solutions for local inferencing on Ubuntu Work from home with global travel 2 to 4 weeks for internal and external events Who you are Proven track record of at least 3 years of professional software development using Go or C++. Experience working on and developing applications for Linux You have interest and experience with a few of the following: Containers (docker, kubernetes) Snap, debian, or RPM packaging Bash scripting CI/CD (GitHub Actions, GitLab CI, etc) Local AI/ML inference frameworks Hardware accelerators: GPU, NPU You value soft skills, communication and advocacy, and are passionate, enterprising, thoughtful, and self-motivated You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, the world’s best free software platform. Our services help businesses worldwide reduce costs, improve efficiency and enhance security with Ubuntu. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity , we will give your application fair consideration. #LI-remote

Location: Warsaw, PL We are looking for a Data Engineer to design, develop, and optimize our data infrastructure on Databricks. You will architect scalable pipelines using BigQuery, Google Cloud Storage, Apache Airflow, dbt, Dataflow, and Pub/Sub, ensuring high availability and performance across our ETL/ELT processes. You will leverage Great Expectations to enforce data quality standards. The role also involves building our Data Mart (Data Mach) environment and implementing CI/CD best practices. A successful candidate has extensive knowledge of cloud-native data solutions, strong proficiency with ETL/ELT frameworks (including dbt), and a passion for building robust, cost-effective pipelines. Responsibilities Data Architecture & Strategy – Define and implement the overall data architecture on GCP, including data warehousing in BigQuery/Databricks, data lake patterns in Google Cloud Storage, and Data Mart (Data Mach) solutions. Integrate Terraform for Infrastructure as Code to provision and manage cloud resources efficiently. Establish both batch and real-time data processing frameworks to ensure reliability, scalability, and cost efficiency. Pipeline Development & Orchestration – Design, build, and optimize ETL/ELT pipelines using Apache Airflow for workflow orchestration. Implement dbt (Data Build Tool) transformations to maintain version-controlled data models in BigQuery, ensuring consistency and reliability across the data pipeline. Use Google Dataflow (based on Apache Beam) and Pub/Sub for large-scale streaming/batch data processing and ingestion. Automate job scheduling and data transformations to deliver timely insights for analytics, machine learning, and reporting. Event-Driven & Microservices Architecture – Implement event-driven or asynchronous data workflows between microservices. Employ Docker and Kubernetes (K8s) for containerization and orchestration, enabling flexible and efficient microservices-based data workflows. Implement CI/CD pipelines for streamlined development, testing, and deployment of data engineering components. Data Quality, Governance & Security – Enforce data quality standards using Great Expectations or similar frameworks, defining and validating expectations for critical datasets. Define and uphold metadata management, data lineage, and auditing standards to ensure trustworthy datasets. Implement security best practices, including encryption at rest and in transit, Identity and Access Management (IAM), and compliance with GDPR or CCPA where applicable. Scientists & Analytics Enablement – Collaborate with Data Science, Analytics, and Product teams to ensure the data infrastructure supports advanced analytics, including machine learning initiatives. Maintain Data Mart (Data Mach) environments that cater to specific business domains, optimizing access and performance for key stakeholders. Requirements 1. Experience – 3+ years of professional experience in data engineering, with at least 1 year in mobile data 2. Technical Expertise with GCP Stack – Proven track record building and maintaining BigQuery environments and Google Cloud Storage based data lakes. – Deep knowledge of Apache Airflow for scheduling/orchestration and ETL/ELT design. – Experience implementing dbt for data transformations, RabbitMQ for event-driven workflows, and Pub/Sub + Dataflow for streaming/batch data pipelines. – Familiarity with designing and implementing Data Mart (Data Mach) solutions, as well as using Terraform for IaC. 3. Programming & Containerization – Strong coding capabilities in Python, Java, or Scala, plus scripting for automation. – Experience with Docker and Kubernetes (K8s) for containerizing data-related services. – Hands-on with CI/CD pipelines and DevOps tools (e.g., Terraform, Ansible, Jenkins, GitLab CI) to manage infrastructure and deployments. 4. Data Quality & Governance – Proficiency in Great Expectations (or similar) to define and enforce data quality standards. – Expertise in designing systems for data lineage, metadata management, and compliance (GDPR, CCPA). – Strong understanding of OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems. 5. Communication – Excellent communication skills for both technical and non-technical audiences. – High level of organization, self-motivation, and problem-solving aptitude. What we offer Competitive compensation based on your experience and expertise Long-term contract-based collaboration A collaborative and open environment Flexible collaboration arrangements