Вакансии

Задачи: — Участие в проектах заказной разработки и пресейлах, включая направление искусственного интеллекта. — Полный цикл аналитических работ: от сбора и формализации требований до функционального тестирования, приёмки и демонстрации решений заказчику. — Ежедневное использование LLM-ассистентов (YandexGPT, GigaChat и аналогов) для решения рабочих задач. Требования: 1. Анализ и проектирование — Моделирование бизнес-процессов: BPMN 2.0. — Проектирование систем: UML (диаграммы классов, последовательностей, активности), Use Case. — Сбор требований: User Story, Use Case, техники интервьюирования. — Проектирование баз данных: ER-модели, нормализация, понимание транзакционности. — Прототипирование интерфейсов: Figma (базовая работа с макетами), Miro (схемы, майндмэпы). 2. Работа с данными и API — Уверенное владение SQL (PostgreSQL, MySQL): сложные JOIN, оконные функции, CTE, оптимизация запросов. — Работа с форматами данных: JSON, XML, YAML. — Интеграции: REST API, SOAP. — Понимание принципов работы брокеров сообщений на уровне producer/consumer. — OpenAPI (Swagger): чтение спецификаций, внесение изменений. 3. Инструменты и процессы — Jira: создание и декомпозиция задач, ведение спринтов. — Confluence: оформление ТЗ, архитектурных решений, ведение базы знаний. — Методологии разработки: Agile (Scrum, Kanban), понимание Waterfall. — Git: ветвление, merge/pull requests в GitLab или GitHub. — Postman: коллекции, переменные, скрипты для тестирования API. 4. Искусственный интеллект и векторные данные — Ежедневное применение LLM-ассистентов (YandexGPT, GigaChat и аналоги). — Использование ИИ для написания SQL-запросов, генерации и рефакторинга кода. — Применение LLM для подготовки документации, анализа требований, проектирования API и моделей данных. — Понимание принципов работы векторных баз данных. — Опыт работы с Qdrant, pgvector или аналогами: хранение эмбеддингов, базовый векторный поиск. 5. Личностные качества — Проактивность и самостоятельное доведение задач до результата. — Умение принимать решения при неполных вводных. — Способность быстро погружаться в новую предметную область. — Стрессоустойчивость при сжатых сроках и параллельной загрузке. Дополнительные требования (будет плюсом): 1. Разработка ИИ-решений — LangChain, LangGraph: построение цепочек (chains), агентов и RAG-пайплайнов. — Понимание протоколов MCP (Model Context Protocol) и A2A (Agent-to-Agent). 2. Обработка неструктурированных данных — Интеграция SpeechKit, Whisper или аналогов для распознавания речи. — Работа с Tesseract, Yandex Vision или аналогами для OCR и извлечения данных из документов. 3. Инфраструктура и архитектура — Архитектурное моделирование: C4 Model. — Docker, Kubernetes: понимание YAML-конфигураций, Helm. — Yandex Cloud, AWS: S3/Object Storage, Managed Databases, IAM. — RabbitMQ, Kafka: настройка, топики, партиции, гарантии доставки. 4. Разработка и хранение данных — Python для написания ETL/ELT-скриптов, работы с Pandas и автоматизации. — Опыт построения DWH. — Моделирование данных: Data Vault, Star Schema, Snowflake Schema. — Работа с BI-инструментами.

Location: Berlin Office Workplace: Hybrid About the role Banks and fintechs use Taktile to automate critical decisions, like credit, fraud, and compliance, in real time. We're building the infrastructure that makes financial institutions truly AI-native, and we've partnered with the Hasso Plattner Institute (HPI), a leading computer science institute in Europe, to offer a dedicated opportunity designed only for HPI students. Starting in April 2027, you'll join one of our engineering teams for 6 months in Berlin and ship real features, with experienced engineers mentoring you along the way. Several HPI alumni already work here, from early-career engineers to senior engineers leading major parts of our product. This program is tailored for Computer Science students eager to gain hands-on industry experience while building the foundations for a world-class engineering career. If you have strong engineering fundamentals and want to grow fast in a team where what you build reaches customers soon after you ship it, we'd love to hear from you.   WHAT YOU'LL DO - Depending on your final team, either work on backend components written in Python / FastAPI, hosted on an AWS serverless architecture, or work on React/Typescript front-end components, or a combination of both! - Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. - Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups.   REQUIREMENTS: - Taktile is a hybrid company that requires working 3 days/week from our Berlin HQ in Germany. - Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. - Strong engineering fundamentals with a passion for simplicity and precision. - Availability for a 6-month full-time internship.   REQUIRED EXPERIENCE - Fantastic Computer Science fundamentals. Data structures, algorithms, networking, distributed systems, databases, and everything in between!   IDEAL, BUT NOT REQUIRED - Exposure to AWS, especially Lambda. - Experience with frontend development - React or similar frameworks.   OUR OFFER - Work with colleagues who lift you up, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a MacBook Pro as well as cutting-edge hardware.   OUR STANCE - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism, and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.   ABOUT TAKTILE Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. Through this exclusive partnership with Taktile, HPI students have the unique opportunity to gain industry experience in a high-growth startup environment while continuing their education among some of Europe’s brightest technical minds.   ABOUT YOUR EMPLOYMENT. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.   YOUR PRIVACY Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.   HOW WE USE YOUR DATA We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.   LEGAL BASIS (EU/UK APPLICANTS) We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).   RETENTION If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.   YOUR RIGHTS Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.   AUTOMATED DECISION-MAKING We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.   INTERNATIONAL TRANSFERS Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com http://taktile.com

Location: Malta The Wow Are you passionate about data, technology and finding smarter ways to make systems run better? We're looking for a Data Operations Engineer to join our Data & AI organization in Malta, helping operate and continuously improve the data platforms that support our international business. You'll work with modern data technologies, including Snowflake, Apache Airflow and AWS , ensuring reliable data operations while contributing to improvements in monitoring, automation and platform stability. This role goes beyond day-to-day operations. We encourage our engineers to challenge existing processes, explore new technologies and implement improvements that make a real difference. From enhancing observability to developing automation and AI-assisted solutions, you'll have opportunities to actively shape how our data operations evolve. You'll collaborate with experienced Data Engineering, BI and DevOps teams, applying and expanding your technical skills while gaining valuable experience with business-critical data platforms. A taster of what you will be involved with: Data Platform Operations: Ensure the smooth daily operation of our data platforms, pipelines and reporting services, supporting reliable data processing and availability across the business. Operational Improvements: Identify opportunities to simplify processes, improve data reliability, reduce manual effort and enhance the efficiency of our operations. Automation and Innovation: Develop scripts, automated checks and AI-assisted solutions to streamline operational activities and improve platform reliability. Monitoring and Observability: Work with monitoring and alerting solutions, improving visibility into data pipelines and platform health to detect issues before they impact the business. Production Releases and Changes: Support deployments, data processing activities and operational changes, helping maintain stable and reliable production environments. Incident Management and Troubleshooting: Investigate and resolve technical issues, including pipeline failures, data inconsistencies and processing delays, collaborating with engineering teams when needed. Participate in a scheduled, compensated out-of-hours on-call rotation to help maintain service reliability. Cross-Team Collaboration: Work closely with Data Engineers, BI Developers and DevOps Engineers, share knowledge, document solutions and contribute to continuous improvement initiatives. What we are looking for: Must haves: Experience in Data Engineering, Data Operations, production support, database support or a similar technical role. Strong SQL skills , including writing and troubleshooting queries, working with joins and aggregations, investigating data inconsistencies and validating data. Good understanding of data processing concepts, data pipelines, transformations and dependencies. Experience troubleshooting technical issues using queries, logs, monitoring information or other diagnostic tools. Familiarity with production operations, incident management and troubleshooting practices. Strong analytical and problem-solving skills, with a structured approach to investigating issues and identifying root causes. Good written and spoken English, a collaborative mindset, ownership and willingness to learn. Nice to have: Snowflake or other cloud data warehouses , including data processing, querying and troubleshooting. Workflow orchestration, scheduling and data pipeline operations. Cloud environments and cloud-based data services. Monitoring, logging, alerting and observability solutions. Scripting and automation using Python, Bash or similar languages. Production deployments, change management or CI/CD processes. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Responsibilities: — Manage the installation, configuration, and upgrading of SAP systems, including SAP HANA, ECC, and S/4HANA, ensuring adherence to best practices and compliance requirements. — Monitor system performance and proactively optimize SAP applications and databases to ensure optimal resource utilization and reliability. — Conduct regular system maintenance activities, including backups, patching, and system refreshes, to maintain system integrity and availability. — Develop and document system procedures, operational guidelines, and best practices to enhance team efficiency and knowledge sharing. — Collaborate with cross-functional teams to support SAP project implementations, enhancements, and integrations with other systems. Required and Preferred Qualifications: Required: — 4+ years of experience in SAP Basis administration, with a strong focus on HANA and S/4HANA environments. — Experience with SAP components, including transport management, client administration, and performance tuning. — Experience in managing SAP systems on both Unix/Linux and Windows platforms. — B2 English Preferred: — Experience with SAP BTP, including SAP Workzone, SAP Integration Suite, SAP IPS, Cloud Identity — Relevant SAP certifications (e.g., SAP Certified Technology Associate). — Familiarity with cloud-based SAP solutions and working with cloud environments AWS and etc — In-depth knowledge of SSO technologies — Familiarity with SAP BO and Data Services — Proficiency with Linux and Linux Clusters — Experience with SAP Solution Manager for monitoring and managing SAP landscapes. Technical Skills and Relevant Technologies: — Strong understanding of SAP NetWeaver, SAP HANA, and database technologies (e.g., Oracle, SQL Server). — Experience with performance monitoring and tuning tools such as SAP EarlyWatch or third-party monitoring solutions.

Задачи: — Проектировать и создавать API-эндпоинты, используемые клиентами — Интегрировать платформу с сервисами третьих сторон — Улучшать производительность баз данных и запросов — Превращать продуктовые требования в надежную бизнес-логику — Владеть функционалом от концепции до продакшена, работая с full-stack, data, ML и DevOps инженерами Требования: — Опыт разработки ПО 5+ лет — Уверенные знания Python (или другого ООП-языка с готовностью перейти на Python) — Опыт создания внешних API или интеграций с третьими сторонами — Опыт работы с AWS, включая serverless (Lambda) и EC2 — Опыт работы с асинхронными рабочими процессами и реляционными базами данных, желательно PostgreSQL — Ответственность, проактивная коммуникация и отличный английский язык Желательно: — Опыт с LLM или генеративным ИИ, распределенными системами

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role. Senior Full-Stack Software Engineer, Grafana Data Source Plugins The Opportunity: As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide. Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools. What You’ll Be Doing: Some data source plugins we own: Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse.  The full catalog is listed here . A typical “day in the life” could include: Building or improving Grafana plugins to integrate third party services or databases into Grafana Supporting the operations and reliability of our plugins in Grafana Cloud Coming up with suggestions for process improvements Integrating data sources with agentic workflows such as Grafana Assistant Providing technical support in customer escalations Working closely with the rest of the Grafana Division What Makes You a Great Fit: You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects. You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward. You are a motivated self starter with a bias towards action, and willing to take on any challenge You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You are an excellent communicator and you enjoy collaboration You are comfortable working in a remote-first company Requirements: Solid experience with Golang & Typescript Experience with Kubernetes & microservices Experience writing clean, robust, and performant software that is easily maintained by others Experience participating in an on-call rotation and performing operations/SRE tasks Bonus Points For: You have been a user of Grafana and Grafana Data Sources You have expertise in one of the underlying databases we support You have strong experience working with a Product Manager or external stakeholders In the United States, the Base compensation range for this role is CAD 170,247 - $204,297 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role. Senior Full-Stack Software Engineer, Grafana Data Source Plugins The Opportunity: As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide. Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools. What You’ll Be Doing: Some data source plugins we own: Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse.  The full catalog is listed here . A typical “day in the life” could include: Building or improving Grafana plugins to integrate third party services or databases into Grafana Supporting the operations and reliability of our plugins in Grafana Cloud Coming up with suggestions for process improvements Integrating data sources with agentic workflows such as Grafana Assistant Providing technical support in customer escalations Working closely with the rest of the Grafana Division What Makes You a Great Fit: You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects. You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward. You are a motivated self starter with a bias towards action, and willing to take on any challenge You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You are an excellent communicator and you enjoy collaboration You are comfortable working in a remote-first company Requirements: Solid experience with Golang & Typescript Experience with Kubernetes & microservices Experience writing clean, robust, and performant software that is easily maintained by others Experience participating in an on-call rotation and performing operations/SRE tasks Bonus Points For: You have been a user of Grafana and Grafana Data Sources You have expertise in one of the underlying databases we support You have strong experience working with a Product Manager or external stakeholders In the United States, the Base compensation range for this role is USD $ 167,143 - $200,572 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Задачи: — Администрировать и поддерживать Percona MySQL PXC Cluster; — Настраивать HAProxy для балансировки нагрузки и высокой доступности; — Мониторить и оптимизировать производительность БД с помощью PMM; — Управлять миграцией MySQL 5.7 → MySQL 8 Cluster; — Обеспечивать безопасность данных, резервное копирование и восстановление; — Автоматизировать процессы администрирования с помощью SQL, Python, Bash; — Диагностировать и устранять проблемы с производительностью и доступностью БД; — Работать с облачной инфраструктурой AWS / Azure; — Взаимодействовать с технической командой и поддерживать документацию. Требования: — Опыт работы на позиции Database Administrator; — Уверенное владение Percona MySQL PXC, HAProxy, PMM; — Практический опыт миграции MySQL 5.7 → MySQL 8; — Глубокое понимание архитектуры БД, репликации, High Availability и Performance Tuning; — Опыт работы с AWS и Azure; — Знание принципов безопасности баз данных и резервного копирования; — Навыки автоматизации с использованием SQL / Python / Bash; — Английский для коммуникации с международной командой. Будет плюсом: — Опыт работы в Healthcare / Biotech; — Знание стандартов HIPAA; — Опыт работы с LIMS; — Понимание специфики лабораторных и генетических данных. Условия: — Полностью Remote; — Full-time, понедельник — пятница; — Freelance contract; — Конкурентная почасовая ставка, обсуждается индивидуально; — Выплаты ежемесячно через Payoneer / PayPal / Crypto; — Отпуск и выходные по предварительному согласованию; — Работа над международным проектом в сфере биотехнологий.

Location: All Cities Workplace: Remote Mobile Wave Solutions is a professional services company specializing in software development as a service. We are committed to delivering scalable, high-quality software solutions that meet our clients' evolving needs. With a growing team of over 120 engineers and a mission to empower businesses globally, we provide expert teams to deliver robust solutions and drive innovation. ROLE OVERVIEW We're looking for a Site Reliability Engineer to own the health, performance, and delivery of the infrastructure of one of our client. You'll sit at the intersection of engineering, operations, and quality measuring how their systems actually behave, automating away manual work, and making their path from commit to production fast and dependable. This is a hands-on role for a seasoned engineer who treats operations as an engineering problem and sets the bar for others. You'll define what "reliable" means for the systems in concrete, measurable terms, establish the practices the team operates by, and use modern tooling, including AI/AIOps, to monitor, alert, and respond intelligently rather than reactively. As a senior member of the team, you'll also mentor other engineers and help shape our reliability strategy. KEY RESPONSIBILITIES - Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns - Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team - Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems - Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback - Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early - through testing strategy, deployment practices, and shared ownership of production - Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call - Lead incident response. Drive blameless postmortems and turn incidents into systemic improvements - Set the standard. Define reliability and operational best practices, and mentor engineers across the team to raise the bar QUALIFICATIONS - 5+ years of experience in an SRE, DevOps, or Platform Engineering role, with a track record of owning systems end to end - Strong grasp of reliability engineering fundamentals: SLIs/SLOs, error budgets, and reducing toil - Hands-on experience designing modernising and operating CI/CD pipelines - Solid infrastructure-as-code skills (Terraform / Pulumi / CloudFormation) - Experience with cloud platforms (GCP / AWS / Azure) and container orchestration (Kubernetes / Docker) - Proficiency in at least one programming/scripting language for automation (Python / Go / Bash) - Strong observability experience: metrics, logging, tracing, and alerting (NewRelic, Prometheus / Grafana / Datadog / OpenTelemetry) - Applied experience using AI/AIOps to automate, measure, report, and alert - anomaly detection, intelligent alerting, noise reduction, or automated remediation - A collaborative mindset and comfort working alongside engineers and QA toward shared reliability goals - Demonstrated technical leadership—mentoring engineers, driving cross-team initiatives, and influencing engineering practices YOU WOULD IMPRESS US IF YOU HAVE - Prior experience working with Google Cloud Run - Experience introducing AIOps tooling into an existing observability stack - Background in performance and load testing. - Familiarity with security and compliance practices (SOC 2 / ISO 27001 / GDPR) OUR BENEFITS - Remote Office – Option to work remotely or hybrid - Parking Space – Free parking available - Fun Office Space – Game zone and relaxation area - Health Insurance – Private health insurance, including dental care - Holidays – 5 extra days after your 1st and 5th year with us - Personal Development – Company-sponsored training and development - Employee Referral Programme – Competitive bonus for successful referrals - Social Events – Celebrating success together - Family Insurance – Add insurance coverage for a family member - Multisport Card – Fully covered sports pass

Location: Sofia About us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our commitment to diversity, equity and inclusion We believe everyone should have a fair opportunity to contribute, succeed, and reach their full potential. That means ensuring everyone is heard, respected, and valued, while identifying and removing barriers that may get in the way. Our commitment is to be an employer role model, grounded in inclusion and fairness for all.We want every application to receive fair and thoughtful consideration; therefore, all applications are reviewed by a member of our recruitment team, not by AI. The role The Analytics Engineer is responsible for bridging the gap between data engineering and data analytics by maintaining and developing scalable data models and solutions that support finance, B2B, and B2C teams. The role plays a key part in delivering value through modern data stack technologies (including dbt), supporting cloud migration efforts, ensuring data quality, and maintaining the performance of analytical data pipelines. Key responsibilities Collaborate with stakeholders across departments to design and implement robust data models and BI solutions. Build, test, and maintain data transformations using dbt (data build tool). Implement software engineering best practices for data, including version control, CI/CD, and automated testing. Deliver day-to-day support and project-related tasks for the data and BI infrastructure. Develop and maintain scalable, maintainable, and well-documented data pipelines. Identify and resolve issues across ETL/ELT processes and data pipelines. Required skills and experience Essential 3+ years of experience in Analytics Engineering, BI, or Data Engineering roles. Strong proficiency in SQL, including complex queries and performance tuning. Hands-on experience with dbt for data transformation and modeling. Understanding of data migration to cloud platforms such as AWS (Redshift) or GCP (BigQuery). Familiarity with database design, version control (e.g. Git/GitHub), and CI/CD practices. Experience with ETL/ELT tools (e.g. Airflow,DBT). Personal skills Strong analytical thinking and problem-solving abilities. Effective communication skills and ability to collaborate across teams. Attention to detail and focus on continuous improvement and data quality. Adaptability to fast-paced environments. Often used technology stacks and tools Databases & Data Warehouses: AWS Redshift, BigQuery, MS SQL Server. Data Transformation: dbt (data build tool). ETL & Data Processing: Airflow. BI & Data Visualization Tools: Looker. Programming & Scripting: SQL, Python. Version Control & DevOps: GitHub, CI/CD pipelines. Cloud Platforms: AWS, GCP. What’s in it for you? Our benefits Annual bonus scheme 25 days paid leave 24/7 Employee Assistance Program Life Insurance Enhanced Parental Leave policy Food Allowance Multisport Card Both in house and external training programs Your own training dedicated budget (for conferences, courses etc.) We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning.  We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT. #LI-MG1

Location: Sofia, Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com Your role: Work with AWS services day to day: IAM, networking, compute, storage, and managed data services. Manage Kubernetes/EKS clusters, including multi-tenancy, RBAC, workload isolation, and security hardening. Drive GitOps practices with FluxCD, covering multi-environment promotion and drift detection. Build and maintain CI/CD pipelines with Jenkins. Author and maintain Terraform modules, Helm charts, and ACK controllers. Manage networking and traffic with Linkerd (service mesh) and Kong (API gateway), across east-west and north-south patterns. Define and monitor SLOs/SLIs across Datadog and Prometheus/Grafana. Integrate code quality and security scanning into the pipeline. Work with event-driven architectures built on Kafka, AWS MSK, and Debezium. Write clean, maintainable automation in Bash, Python, and Groovy. How we work with AI AI is part of how we build, not an afterthought, and we expect engineers to use it daily. Our primary stack is Anthropic's Claude, used through Claude Code across pipelines, code quality, operational automation, debugging, and documentation. We care about using it well: knowing when to lean on it, how to verify its output, and how to keep quality and security high while moving faster. A solid understanding of LLMs and the wider AI ecosystem will help you make good architectural decisions as the technology matures, and we want people who are eager to push this further. What makes you stand out: You have 2+ years in a Platform or DevOps role where you owned the outcome, not just the ticket. You think in platforms, not pipelines. Golden paths, self-service, and reducing developer toil are your default frame. You have deep AWS experience and a track record of building cloud-native systems that hold up under pressure. You know your way around a packet. DNS, TCP/IP, TLS, ingress, service mesh, and zero-trust networking are not abstract concepts to you. You use AI naturally in your workflow, from pipelines to code quality to operational automation. You understand LLMs and the AI ecosystem well enough to make sound architectural decisions as they evolve. You're honest about where you're strong and curious about the rest. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Parking and public transportation cards at preferential rates, plus free electric bikes. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Задачи: — Разрабатывать и поддерживать сервисы и API на C# / .NET — Разрабатывать интерфейсы на React или Vue — в зависимости от проекта — Участвовать в проектировании архитектуры и выборе технических решений — Писать поддерживаемый, тестируемый и понятный код — Проводить code review и помогать команде расти — Работать с базами данных, очередями, кэшами, внешними API — Участвовать в CI/CD, деплое и мониторинге — Декомпозировать задачи, оценивать сроки и влиять на технические решения — Для Senior — брать техническое лидерство, менторить команду и влиять на развитие продукта Требования: — Опыт коммерческой разработки: от 3–4 лет для Middle+, от 5+ лет для Senior — Уверенный C# / .NET: .NET 6+, ASP.NET Core, Entity Framework Core — Опыт разработки REST API, понимание HTTP, JSON, аутентификации и авторизации — Уверенное владение одним из фреймворков: React или Vue — компонентный подход, хуки / composition API, state management — TypeScript — уверенное использование — Опыт работы с базами данных: PostgreSQL, MS SQL, MySQL или аналоги — Понимание SQL и умение писать запросы — Опыт с Docker, Git, Linux, CI/CD — Опыт написания тестов: xUnit/NUnit, Jest/Vitest и аналоги — Понимание принципов SOLID, паттернов проектирования и чистого кода — Технический английский — чтение документации, переписка, созвоны Будет плюсом: — Опыт коммерческой разработки и на React, и на Vue — Опыт миграции между фреймворками (Vue → React, React → Vue) — Fullstack-опыт: самостоятельная разработка от API до интерфейса — Микросервисная архитектура, gRPC, GraphQL — Kafka, RabbitMQ, Redis, NATS — Kubernetes, Helm, Terraform, Ansible — Cloud: AWS / Azure / GCP / Yandex Cloud — Опыт высоконагруженных систем — Опыт миграций, работы с легаси, монорепозиториями — Опыт в финтехе, e-commerce, SaaS, ML, DevTools — Вклад в open source — Опыт менторства, техлидства, архитектурных ревью — Английский B2+ — Опыт работы в продуктовых командах и/или стартапах

Задачи: — Проектирование и поддержка инфраструктуры проектов (Highload / Enterprise). — Настройка и оптимизация CI/CD пайплайнов. — Автоматизация развертывания и управления конфигурациями. — Обеспечение отказоустойчивости и мониторинга систем. — Работа в тесной связке с командами разработки и QA. Требования: — Опыт работы DevOps/SRE/Infrastructure Engineer от 3-х лет. — Понимание принципов CI/CD, Immutable Infrastructure, IaC. — Опыт администрирования Linux-систем. — Знание сетевых технологий (DNS, HTTP/HTTPS, TCP/IP, балансировка). — Опыт работы с контейнеризацией. — Стек технологий (в разных вариациях): Cloud: Yandex Cloud, AWS, Google Cloud или приватные облака. — Оркестрация: Kubernetes (K8s), Docker Swarm, Nomad. — CI/CD: GitLab CI, Jenkins, TeamCity, GitHub Actions, ArgoCD. — IaC: Terraform, Ansible, Pulumi. — Мониторинг: Prometheus, Grafana, Zabbix, ELK/EFK, VictoriaMetrics. — Языки: Python, Go, Bash (для автоматизации). Условия: — Работа через ИП. — Удалённая работа или гибрид по желанию. — В основном заказчики работают по времени МСК. — Разнообразие задач — от стартапов на AWS до энтерпрайза на Yandex Cloud. — Оплата обсуждается индивидуально, зависит от уровня и проекта (выплаты стабильные, без задержек).

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсом будет: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Location: Sydney, Australia Riot Games is looking for a Systems Engineer to join the Game Operations team supporting Wild Rift. You will help operate and improve the infrastructure, services, and tools that support reliable live-service operations for the game. This is a hands-on role focused on automation, production support, incident response, observability, data integrity, and continuous improvement. You will work with engineering, platform, data, and operations teams to reduce risk, improve efficiency, and protect player experience. Internal Job Title: Systems Engineer II. Responsibilities: Operate and improve the production infrastructure, cloud services, data platforms, and operational systems that support Wild Rift. Build automation and tooling for deployments, migrations, validation, capacity management, and routine operations. Troubleshoot distributed systems and participate in incident response, root-cause analysis, and follow-up improvements. Support releases and operational changes while maintaining service continuity and data integrity. Improve monitoring, alerting, dashboards, runbooks, and other operational documentation. Identify opportunities to improve reliability, scalability, capacity, and infrastructure cost. Collaborate with global technical partners and provide day-to-day support and guidance to operations teams. Required Qualifications: BS in Computer Science or equivalent experience, RHCE, RHCSA. 2+ years of industry experience or an advanced degree. Professional experience in systems engineering, infrastructure engineering, site reliability engineering, software engineering, or a related field. Experience supporting production services, preferably in a high-availability or live-service environment. Working knowledge of Linux, networking, cloud infrastructure, storage, compute, and distributed systems. Experience with AWS Cloud and/or Tencent Cloud. Ability to write maintainable automation or production code in Python, Go, Java, or a comparable language. Working knowledge of SQL and data-platform concepts, including data movement, replication, validation, and operational integrity. Familiarity with Git-based configuration management, infrastructure as code, or deployment automation. Experience with monitoring, alerting, incident response, and root-cause analysis. Strong communication, collaboration, and documentation skills. Professional fluency in Mandarin and English, with the ability to work across time zones and technical disciplines. Desired Qualifications: Experience with distributed data technologies, object storage, Kubernetes, Redis, OpenSearch/Elasticsearch, or similar platforms. Experience supporting high-volume online services, game telemetry, or player data. Experience with capacity planning, cloud cost optimization, or infrastructure decommissioning. Experience working in a multi-region or follow-the-sun operations environment. Interest in games and the relationship between technical systems and player experience. Our Perks: At Riot we strongly believe in work / life balance, and we encourage that with our open paid time off policy, paid parental leave (for both primary and secondary carers) and flexible work schedules to fit your lifestyle. We also believe that work should be fun, we have co-op gaming areas, a play fund so you can broaden and deepen your knowledge of players and community, and all the snacks you would ever need to power through your day (even healthy snacks!). And that’s not all we offer, there’s also: Medical Insurance that covers you and your dependents Employee Assistance Program Wellness fund Donation matching of time and money to registered charities Learning and Development opportunities Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code . Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming .

Location: Singapore Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Provide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm Monitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load Support and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues Triage incidents affecting model availability — provider instability, connection resets, timeouts, regional slowness — determine whether the cause is platform-side or upstream, and drive to resolution with vendors where required Support the tooling layer built on top of LLM gateway: integrations, developer workspaces (e.g. Coder), coding assistants and API clients, including diagnosing issues introduced by upstream vendor releases running against a gateway-fronted API Coordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption Support release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback Build tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work Contribute to the design and implementation of monitoring, dashboards and alerting — for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting Own and improve operational documentation, runbooks and user-facing status communication Your present skillset Experience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end Strong Linux and Windows system administration skills Proficiency scripting and automating in Python, Bash and/or PowerShell Solid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting, and the ability to analyse system data to distinguish a platform-wide problem from a localised one Comfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles Familiarity with large language model concepts and hosting environments — inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching Exposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads Ability to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents Awareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers Beneficial Experience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms Experience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules Experience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar) Experience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency) Experience acting as the operational interface to third-party vendors and cloud providers during degradations QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Задачи: — Разработка и эксплуатация backend-сервисов для обработки транзакций по картам, обнаружения мошенничества и управления программами карт. Требования: — Опыт работы с Node.js и TypeScript. — Знание Java и Go. — Опыт работы с NestJS. — Понимание API, асинхронной обработки, распределённых систем и eventual consistency. — Знание стандартов PCI и 3DS. — Опыт работы с AWS и инструментами наблюдаемости (observability). Условия: — Удалённая работа.

Задачи: — Руководство инженерной доставкой для запусков карточных программ и стабильной работы на рынке. Требования: — Опыт работы с fraud prevention, tokenization, Visa, Mastercard, платежными системами, цифровыми кошельками. — Знание Node.js, NestJS, TypeScript. — Опыт работы с API, PSD2, 3DS, финансовой сверкой. — Навыки работы с New Relic, PCI, observability, AWS, CI/CD. — Понимание KYC процессов. Условия: — Удалённая работа.