Вакансии

Задачи: — Управление отделом дизайна: распределение задач, приоритизация, контроль сроков и качества, проведение дизайн-ревью; — Формирование визуального направления компании: запуск новых продуктов, разработка концепций, айдентики и брендбуков; — Самостоятельная реализация ключевых и сложных задач (Web/UI, лендинги, креативы) и контроль полного цикла дизайн-production; — Развитие команды: менторство, конструктивный фидбек и рост компетенций сотрудников; — Внедрение AI-инструментов и современных подходов для ускорения и оптимизации дизайн-процессов; — Формирование дизайн-систем, единых визуальных стандартов и кросс-функциональное взаимодействие с маркетингом и продуктом. Требования: — Опыт в дизайне от 4 лет, из них 1–2 года в управлении командой (Lead/Head); — Сильный hands-on уровень: уверенное владение Figma, глубокое понимание UX/UI, типографики и композиции; — Опыт создания брендов и айдентики с нуля, разработки брендбуков и проектирования digital-продуктов; — AI-first подход: практический опыт работы с Midjourney, ChatGPT, Claude, Gemini и другими AI-инструментами; — Умение управлять загрузкой команды, расставлять приоритеты и брать ответственность за конечный результат; — Системность, самостоятельность и сильные коммуникативные навыки; — Актуальное портфолио. Условия: — Полностью официальное трудоустройство и оформление рабочей визы; — Релокацию не предоставляем; — Зарплата обсуждается по результатам собеседования; — Гибкий старт рабочего дня (до 10:00), оплачиваемые завтраки и обеды в офисе; — Отпуск и оплачиваемые sick days, 4 дополнительных оплачиваемых дня отпуска в год; — Скидки по корпоративной партнерской программе; — Корпоративные мероприятия для сотрудников и членов их семей.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Amphoe Mueang Chiang Mai, Thailand Workplace: none EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for a dedicated Mid Software Engineer to join our team in Thailand! About the job: What You'll get to do: You will be working on our framework that is built on top of ReactJS. This is a cool new project that we’ll be using to deliver white-label website faster than ever. You will be part of the core team of the framework working on the most interesting and challenging things. Amongst the most important responsibilities of the role that you will have are: Development - You adhere to pre-established task delivery deadlines; estimating the development time for assigned tasks; implementing assigned tasks as closely as possible to the previously provided estimation; testing implemented tasks on all necessary devices and popular browsers, preventing reoccurrence of tasks and incidents in production; adding development time spent on tasks in Jira; Code quality - You understand the standards that are enforced by the coding guide and keep compliant with them. You are a promoter of clean code and help more junior colleagues do the same through code reviews and feedback; Code review - You are actively involved in code reviews. You make sure that all coding standards are followed, and that the submitter understands completely not only what to modify but why to do the changes that are required; Refactoring - You easily understand the existing code in the project and can identify the need for refactoring; Scalability, stability and performance - You implement improvements and can offer solutions / alternatives on how to develop the code to further improve scalability of the project; Code documentation - You document your work and how it affects the entire project (when applicable). You add comments in code according to standards / readme. You always keep your documentation up to date; Operational - You can handle incidents according to the defined SLAs and project processes (the complexity refers to system / platform complexity, technical solution complexity or business knowledge); Communication - Contributing to best practices knowledge sharing and application within the project; maintaining close collaboration with other team members as well as the responsible Product Owner/Project Manager; participating in daily meetings with the team and discussing/identify both issues and solutions to resolve them; What we’re Looking For: Three to five years previous experience in a similar role; Proficiency in Vanilla JavaScript / HTML / CSS; Proven experience in creating fast performing interfaces using React and Redux; Proven experience with REST web services and/or web APIs; Basic knowledge of OOP and Data Access / Management; Knowledge of OOP and Data Access / Management; Passion for learning and perfecting skills; Ability to work in a Kanban system with fast switching priorities; Good English, both written and spoken; Experience with all stages of software development lifecycle; Ability to understand technical architecture; Ability to prioritize and manage multiple tasks simultaneously; Analytical thinking; Ability to work under pressure and meet deadlines; Adapt to a fast-changing environment / to be able to provide solutions for improved workflow; Nice to have: CI/CD - understanding of deployment procedures and workflows Proven experience in react development Experience using performance profiling tools and using different performance improvement techniques Adapt to a fast-changing environment / to be able to provide solutions for improved workflow Here's what we offer: Work Life Balance: 33 days off per year, including public holidays, rising to 43 by year 5 inside the company 3 sick leave days per year (without a doctor’s note) Enjoy a flexible hybrid work schedule after passing probation If return to work soon after having child, 1 year 100% WFH for mothers WFH after the child is born – for fathers: 13 weeks of 100% WFH (from the day of the birth of the child Benefits and perks: Lunch allowance Medical Subscription Gym membership Fruits and Sweeties Days Access to online learning platforms Udemy for Business and O’Reilly and budget for external training Massage and Physical Therapy at work Frequent free-bar parties, annual whole-company parties (have previously rented our own planes to get everyone together!) Fun corner: PS5, lots of board games, pool table, Ping Pong table At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions. Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes. - Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation. - Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making. - Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve. - Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions. Your skillset: - Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability. - Proficiency in Python and SQL, with experience working with large, complex datasets. - A solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking. - Experience collaborating with engineers to deploy, monitor and improve models in production. - Strong communication skills, with the ability to explain technical concepts and influence product and commercial decisions. The interview journey: - Intro with a member of our Talent Acquisition team - 30 minutes - 1st Stage: Virtual Interview with Hiring Manager - 45 minutes - 2nd Stage: Two on-site interviews - 50 minutes for a project discussion deepdive with member(s) of the Data Science team - 1 hour technical discussion around a case study with member(s) of the Data Science team - Final-stage: Virtual interview with key stakeholders - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Задачи: — Работа с AWS инфраструктурой, включая VPC, IAM, EKS, RDS. — Управление Kubernetes платформой (EKS) с использованием Karpenter, Cilium, Istio. — Автоматизация процессов с помощью инфраструктуры как кода (Terraform, Terramate) и GitOps (ArgoCD, Atlantis). — Поддержка CI/CD процессов. — Обеспечение наблюдаемости с использованием Grafana, Loki, Tempo, Prometheus. — Участие в on-call ротации и решение инцидентов в продакшене. — Разработка внутренних инструментов на Go для автоматизации повторяющихся задач. Требования: — Несколько лет опыта эксплуатации production-систем на AWS и Kubernetes с реальной ответственностью on-call. — Глубокие знания AWS (VPC, IAM, EKS, RDS). — Практический опыт с Terraform и GitOps-подходом (ArgoCD, Atlantis, Flux или аналогичные). — Умение писать код, опыт или готовность изучать Go. — Сильные навыки расследования, отладки и решения проблем. — Быстрое обучение и адаптация к новым технологиям. — Свободное владение английским языком для коммуникации с командами инженерии, продукта и безопасности. Условия: — Удалённая, офисная или гибридная работа (Лимассол, Кипр). — Гибкий график работы. — Конкурентная зарплата и пакет опционов. — Оборудование для комфортной и продуктивной работы. — Премиум подписка SIMPLE. — 21 день оплачиваемого отпуска плюс праздничные дни. — Фокус на результатах, а не на времени за столом.

Задачи: — Разрабатывать и сопровождать потоковые приложения на Apache Flink: подключать новые домены и типы событий, реализовывать дедупликацию, идемпотентную обработку, обогащение через Redis и маршрутизацию невалидных событий в DLQ; — Обеспечивать полноту и качество потоков: контролировать lag, пропуски, дубли, объёмы, freshness, расхождения между источником и целевым хранилищем; участвовать в восстановлении и дозагрузке данных; — Развивать batch-пайплайны в Apache Airflow: регуляторные выгрузки день в день, bulk-загрузки в Cassandra, проверки полноты, свежести и результатов загрузки; — Подключать новые источники: разбираться в семантике событий, идентификаторах, ключах партиционирования, формате данных, ретенции, владельцах и ограничениях источника; — Cassandra, документация потоков, runbook и постмортемы; — Участвовать в on-call по понятному регламенту: локализовать инциденты, корректно эскалировать, объяснять простои и фиксировать пробелы в сборе данных. Требования: — 2–4 года опыта в Data Engineering либо backend-разработке с практическим переходом в data-направление; — Уверенный SQL и понимание работы с большими объёмами: партиционирование, шардирование, распределённые вычисления, оценка стоимости запросов и поиск узких мест; — Построение корпоративных DWH , понимание слоев данных; — Практический Kafka-опыт: producer/consumer, consumer groups, ключи и партиционирование, offsets, ретенция, replay, обработка ошибок, DLQ; — Python для data-задач и Airflow: умение разрабатывать и сопровождать DAG-и, писать идемпотентные задачи, организовывать retries и backfill; — Опыт работы с Java-кодом Flink (Python Flink может быть релевантным как опыт): читать, дорабатывать, отлаживать, разбираться в причинах рестартов, checkpointing и backpressure; — Опыт самостоятельной разработки stateful Flink-пайплайнов будет преимуществом; — Практический опыт хотя бы с одной технологией: Cassandra или ClickHouse; — Для Cassandra: понимание моделирования от паттернов доступа, partition key, TTL, консистентности и особенностей записи; — Для ClickHouse: оптимизация запросов, работа с кластером и шардами, моделирование таблиц, TTL и особенности upsert/merge-семантики; — Опыт сопровождения Airflow-пайплайнов в production; — Привычка к инженерному циклу: тесты, CI/CD, кволитигейт, мониторинг, алерты, анализ причин инцидента и профилактические действия; — Внимательность к SLA и регуляторным ограничениям: если данные нельзя терять, система должна уметь это обнаружить, объяснить и восстановить.

Location: Paris, Remote Workplace: remote Our Security and IT team keeps the 360Learning platform secure, compliant and auditable for the 1,500 organisations that learn on it every day. As a Senior DevSecOps Engineer, your mission is to make our infrastructure secure by design, detectable by default, and provable at audit time. 360Learning runs its learning platform on Azure and Kubernetes, certified ISO 27001:2022 and SOC 2 Type II. Over the past two years the technical security workload has grown on every front: a larger and more regulated customer base sending their own scans and security assessments, a wider detection and response scope, more infrastructure to keep hardened and auditable, and a growing backlog of security engineering projects that never reach the top of the queue. We are creating this position to add real technical capacity on the infrastructure side of security, and to move part of our security posture from manual effort to automated guardrails. You will be the bridge between security and platform engineering: deep enough in infrastructure to fix things yourself, and close enough to security operations to know what to look for. “Ours is a small, senior team with a broad scope: information security, compliance, infrastructure governance and internal tooling, with dual audit accountability on ISO 27001:2022 and SOC 2 Type II. That means direct impact and no layers between you and the decision. Roughly half of this role is greenfield build work you will own end to end.” Guillaume Seigneuret, CISO and Hiring Coach. Within 1 month, you will: Complete our onboarding and learn how we work through our own platform and our Convexity culture Map our Azure and AKS environment, our detection and logging coverage, and our ISO 27001 and SOC 2 control scope with the CISO and the Security Engineer Meet the DevOps, platform engineering and IT teams you will work with daily Shadow alert triage and one customer security assessment end to end Within 3 months, you will: Be autonomous on our AKS and Azure environment and handle infrastructure related alerts end to end Have shipped at least one concrete hardening or automation improvement in production Own the infrastructure scope of vulnerability management, from triage to remediation follow up Within 6 months, you will: Have the honeypot live and producing high fidelity alerts Have measurably widened SIEM connector coverage, with documented log sources and retention Run infrastructure vulnerability remediation on a predictable cycle with SLA reporting Within 12 months, you will: Manage detection content as code, with reviewed and tested rules and documented runbooks Have largely automated audit evidence on the infrastructure scope Have eliminated long lived credentials on the critical paths, so engineering teams ship on secure defaults they did not have to think about The Skill Set: 5+ years in infrastructure, cloud or platform engineering with a strong security focus, or in security engineering with hands on infrastructure practice Production experience with Kubernetes: RBAC, network policies, admission controllers, secrets handling, workload identity, runtime security Solid cloud experience, ideally Azure. Strong AWS or Google Cloud experience with a genuine interest in converting works too Infrastructure as code: Terraform, GitOps workflows, CI/CD pipelines Scripting and automation: Python or Go, plus shell. Comfortable reading and writing code, and opening pull requests on repositories owned by other teams Log analysis and investigation: cloud audit logs, query languages, correlation across identity, network and application sources Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Security Live exercise with our Head of Security and our Head of Devops: investigation of an incident scenario, or review of an insecure infrastructure configuration Clarification Meeting with the Security Engineer and a DevOps engineer Culture Fit Meeting with our VP of Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We are looking for a Senior SEO Specialist to own product-related SEO tasks from idea through release. You will turn search opportunities into initiatives and tasks for product and engineering, and confirm that what is delivered works as intended. Job Responsibilities Identify technical and on-page SEO issues (crawling, indexing, site structure, redirects, canonicals, internal linking, templates, structured data) and initiate product-related tasks when they block organic performance; Prepare implementation-ready tasks and recommendations: problem, solution, affected templates or URLs, risks, and acceptance criteria; Validate proposed work with the Team Lead and SEO team before it reaches product or engineering; Consult product and development on SEO implications of planned features, template changes, and site architecture; Participate in estimations and groomings so work is sized, sequenced, and specified well enough to build; Analyze search intent, SERP structure, and competitor behavior when it affects product or template decisions; Optimize existing page types and templates for rankings, traffic, engagement, and conversions, including titles, meta descriptions, headings, internal links, page structure, and content; Support content planning with SEO briefs, keyword maps, and optimization guidelines when work touches product surfaces; Plan information architecture and landing-page structure for new product or content surfaces; Specify and, where appropriate, implement structured data; Test implementations after release against agreed acceptance criteria; Monitor performance in Google Search Console, Google Analytics, and in-house reporting tools. Track rankings, traffic, indexing, and trends tied to shipped work, not only site-wide averages; Prepare concise updates: what moved, what did not, and recommended next product or content steps; Stay current with SEO practices and search-engine updates that affect product implementation. You’ll thrive here if you have 4+ years of hands-on SEO across on-page, content, and technical work; Experience working with high-traffic international and multilingual websites; Proven experience turning SEO findings into tickets or requirements that engineering or product teams can implement; Comfort participating in agile delivery: grooming, estimation, clarification, and post-release checks; Strong understanding of keyword research, search intent, SERP analysis, and competitor research; Working knowledge of technical SEO: crawling, indexing, redirects, canonicals, internal linking, site architecture, and template-level changes; Experience with Google Search Console, Google Analytics, crawlers, and other SEO tools; Ability to analyze SEO data and turn it into a clear recommendation, with an expected effect and a way to verify the release; Clear written communication: tickets, briefs, and short performance notes that non-SEO teams can act on; Ability to work independently, manage several workstreams, and raise issues early rather than waiting for a fully specified brief. Nice to have: Experience with programmatic SEO or large-scale template optimization; Familiarity with Looker Studio, BigQuery, SQL, or another reporting stack; Basic scripting (Python or similar) for crawls, log samples, or bulk URL analysis; Familiarity with common CMS or front-end delivery setups; Awareness of generative search / AI results as a measurement context; Experience in SaaS, marketplace, media, or other product-led digital businesses. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches at the office, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (45 min); Technical interview (1 hour); Test task; Final interview (1 hour). Recommendations check; Job Offer.

Location: Australia Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Strong frontend skills with TypeScript/JavaScript and React Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience building data-oriented interfaces and visualizations PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Portugal ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: — Создавать production-ready игровые локации на основе blockout'ов. Требования: — Коммерческий опыт. — Умение создавать готовые к производству игровые локации на основе blockout'ов. — Уверенное владение Unity. Будет плюсом: — Опыт работы с процедурно генерируемыми уровнями. Условия: — Полная занятость (Full-time). — Удалённая работа. — Работа в опытной команде. — Рыночная оплата. — Возможно тестовое задание.

Задачи: — Построение и развитие процессов QA в продуктовой команде. — Тестирование web-продуктов, API, интеграций и платежных систем. — Разработка и поддержка автоматизированных тестов. — Проведение функционального, интеграционного, regression и smoke-тестирования. — Анализ требований и выявление потенциальных проблем до разработки. — Работа с логами, аналитикой и базами данных для поиска причин ошибок. — Контроль качества релизов и участие в процессе CI/CD. — Взаимодействие с разработчиками и Product-командой для повышения общего качества продукта. Условия: — Зарплата в долларах — Реальное влияние на продукт — Быстрые итерации, минимум бюрократии — Возможность вырасти в лида

Kiwitaxi is an international transfer service working in 100+ countries. We're growing our strategic partnerships team, and we're looking for someone who can do more than run a B2B sales pipeline. We want a person who can take a big partnership from the very first conversation all the way to launch. This isn't about sending hundreds of cold emails, and it isn't a classic account manager job. You'll figure out which companies are worth partnering with, find the people who actually make decisions there, and get to know how their business works. Then you'll shape an offer that makes sense for them and guide it through every stage: negotiations, a pilot, the contract, and the launch. We are looking for a hunter mindset: someone who is motivated by difficult markets, complex deals, and the challenge of opening doors that are not already open. Задачи: — Build new strategic partnerships with travel companies, agency networks, airlines, OTAs, travel platforms, loyalty programs, fintech companies, travel-tech players, and other distribution channels. — Identify the right decision-makers and find ways to reach them through your network, LinkedIn, industry events, associations, mutual contacts, and other channels. — Build a specific partnership hypothesis for each account rather than sending a generic company presentation. — Lead discovery calls and meetings. — Negotiate with senior decision-makers and functional leaders. — Discuss and structure commercial models including commission, net rates, revenue share, white label, API integrations, and pilot programs. — Manage long sales cycles and consistently move opportunities forward. — Initiate and launch pilot partnerships. — Attend travel industry events and conferences with a clear target list and pre-arranged meetings. — Bring in Product and Development teams when an opportunity requires technical integration or product changes. — Hand over signed partners into implementation and make sure partnerships actually go live and start generating business. Требования: — 4–7+ years of experience in B2B sales, business development, or strategic partnerships. — Experience in travel, mobility, OTA, airlines, hospitality, travel tech, TMC, tour operating, or a closely related industry. — Experience with complex B2B deals and multi-month sales cycles. — A proven track record of partnerships you personally initiated and helped take through signing or launch. — Ability to independently identify decision-makers and create access to them. — Strong negotiation and presentation skills. — Ability to quickly understand the other side’s priorities and adapt the proposition accordingly. — Experience creating tailored commercial proposals and business cases. — Understanding of common B2B partnership models: commission, net rates, revenue share, affiliate etc. — Basic understanding of APIs and integrations. — Comfortable discussing integrations, implementation timelines, constraints, and requirements with Product and Development teams. — English at C1–C2 level, both spoken and written. — Conversational Russian for communication. — Willingness to travel for meetings, conferences, and industry events. — High level of independence and ownership. — Strong pipeline discipline and follow-up skills. — Ability to work through objections, existing supplier relationships, slow-moving deals, and long periods without immediate results. — Preferably based in the European Union or Asia, with flexibility to travel internationally and obtain visas when needed. Преимущества: — An existing professional network in travel, mobility, airlines, OTA, hospitality, or travel tech. — Experience working with agency networks, host agencies, consortia, cruise, loyalty. — Experience launching API, white-label, or co-branded partnerships. — Experience entering new markets or building a new B2B channel from scratch. Не подходит, если: — Most of your experience is in high-volume cold outreach; — You are used to working mainly with inbound leads; — Your background is primarily in managing existing accounts; — You expect to receive a ready-made lead list and detailed instructions on whom to contact; — You are uncomfortable starting from a blank page and figuring out how to create an opportunity yourself. Условия: — A high-impact role with significant growth potential. — You will join at a stage where our strategic partnerships function is being actively reshaped, with the opportunity to grow together with it and take on broader responsibility over time. — Work with international travel companies and strategic partners. — The ability to influence not only sales, but also the B2B product itself. — Participation in international travel industry events and conferences. — Significant room for your own ideas, hypotheses, and initiatives. — Remote format. — A competitive fixed salary, reflecting the seniority and impact of the role, plus a performance-based bonus.

Задачи: — настройка и поддержка серверной инфраструктуры; — работа с Linux-серверами; — участие в настройке и поддержке CI/CD-процессов; — работа с Docker и Docker Compose; — развертывание и обновление приложений на тестовых и production-серверах; — настройка и поддержка Nginx; — мониторинг состояния сервисов и анализ логов; — участие в автоматизации процессов разработки и развертывания. Требования: — студент 4 курса бакалавриата или выпускник бакалавриата 2026 года; — базовые знания Linux и командной строки; — понимание основ Docker и контейнеризации; — понимание принципов CI/CD; — базовые навыки работы с Git; — понимание основ сетей: HTTP/HTTPS, DNS, IP и порты; — базовое понимание работы Nginx; — наличие учебных или pet-проектов будет преимуществом; — желание развиваться в направлении DevOps, Cloud и Infrastructure. Условия: — график 5/2; — офис в Алматы, ул. Кабдолова, 22Б.

About Sezzle: Sezzle is a fintech company focused on revolutionizing the shopping experience by blending technology with interest-free installment plans to empower consumers and increase merchant sales. About the role: We are seeking a detail-oriented and proactive AML Compliance Analyst to support Sezzle’s Compliance Team. This role provides second-line oversight and day-to-day advisory support across a wide range of business activities by translating regulatory requirements into practical guidance, executing operational compliance reviews, and producing governance-ready documentation and reporting. The role ensures adherence to regulatory requirements and supports the development of internal policies, standards, and procedures, fostering a culture of integrity and accountability. What You'll Do: — Provide compliance advisory support to business partners on consumer finance and payments requirements; document guidance, decisions, and follow-ups. — Support the intake, tracking, and completion of Compliance Operations, Advisory, and Financial Crimes Compliance work using defined workflows and evidence standards. — Perform second-line oversight reviews of complaint handling for higher-risk channels and contribute to complaint trend and root-cause analysis. — Support issues management governance by maintaining issue/action logs, validating remediation plans and evidence, and monitoring aging to closure. — Participate in change management oversight by reviewing initiatives for compliance impacts, control readiness, and required approvals/escalations. — Conduct pre-use compliance reviews of marketing and customer communications; identify required disclosures and risks and document results. — Assist with product development compliance assessments for new products and material initiatives; coordinate inputs, maintain risk/control documentation, and track conditions for launch. — Support third-party compliance activities for customer-facing vendors. — Support Financial Crimes Compliance operations including transaction monitoring, alert and case review, and disposition. — Assist with sanctions/OFAC screening and watchlist management. — Support Customer Identification Program (CIP) and Customer Due Diligence/Enhanced Due Diligence (CDD/EDD) activities. — Assist in preparation, documentation, and quality review of Suspicious Activity Report (SAR) narratives and supporting evidence. — Advise business, product, and operations partners on financial crimes requirements and control expectations. — Support responses to subpoenas and regulatory information requests. — Prepare clear written memos and governance-ready summaries for leadership and partner reporting. — Assist in gathering and delivering relevant information for regulatory reviews, examinations, audits, or other supervisory events. — Support additional compliance-related initiatives and projects as assigned. Required Qualifications: — Self-motivated, adaptable, capable of working independently or collaboratively. — Solid understanding of regulatory frameworks, laws, and compliance requirements applicable to consumer financial products and services, including financial crimes requirements (BSA/AML, USA PATRIOT Act, OFAC/sanctions). — Experience in compliance operations/advisory, risk management, quality assurance, or other control/oversight activities. — Strong written communication skills. — Strong project management and organizational skills. — Analytical thinker with sound judgment and proactive mindset. — Excellent interpersonal and communication skills. — High integrity and ethical judgment. — Working knowledge or ability to quickly learn Financial Crimes Compliance operations. — Comfort working with high-volume data and structured review workflows. Education & Experience: — BS/BA degree or higher in accounting, finance, business administration, legal studies, information systems, or related field. — Minimum 3 years professional experience in consumer finance, fintech, banking, or regulated environment preferred. — Financial industry compliance certifications (e.g., CAMS) a plus. — Experience supporting complaint management, issues management, change management, marketing review, product compliance assessments, financial crimes compliance, or third-party oversight highly desirable. About You: — High standards and commitment to quality. — Innovative and not bound by convention. — Action-oriented with a focus on speed and calculated risk-taking. — Earns trust through attentive listening and respectful communication. — Willing to challenge decisions respectfully and commit once decisions are made. — Delivers results with focus and resilience. What Makes Working at Sezzle Awesome: — Culture focused on excellence and innovation.

About Stripe: Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. About the team: The CEE team is a highly consultative sales team responsible for the growth of Stripe’s largest customers within the region. They work with ambitious and fast-growing companies, including Booksy, Maczfit, and ElevenLabs. What you’ll do: — Work with existing Enterprise Stripe customers to develop and execute long-term sales strategies to expand Stripe’s revenue — Own the full sales cycle, from business case development, deal structuring and negotiating, to close and activation — Own a named account list and develop account plans for winning and expanding business with high growth technology companies — Develop outbound strategies to create and nurture opportunities — Drive deal strategy and commercial negotiations for large, complex renewals — Develop relationships with executive stakeholders within your book of business — Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship — Lead and contribute to team projects to develop and refine the sales process and help shape the Stripe sales culture Who you are: Minimum requirements: — 7+ years of sales experience, preferably selling a highly technical product to enterprise customers, with a track record of top performance — Ability to understand technical requirements and craft solutions across multiple products — Ability to develop and execute account plans spanning multiple business units across complex organizations — A knack for working well with a wide range of people, both internally and externally — Strong presentation skills, particularly for in-person meetings with multiple stakeholders — Proven ability to lead complex negotiations involving bespoke commercial agreements — Superior verbal and written communication skills in English and in either Polish or Romanian — Ability to operate in a highly ambiguous and fast-paced environment — Strong interest in technology and a deep understanding of the space Preferred qualifications: — Fluency in other CEE languages would be beneficial — Experience in fintech/payments is a plus, but not prerequisite

Key Responsibilities: — Act as a peer and advisor to customer CTOs and CIOs, helping them navigate complex digital transformations and operationalizing the PagerDuty Operations Cloud within their organizations. — Represent PagerDuty as a thought leader at major industry events and through digital content, white-papers, and local media. — Partner closely with Global Product and Engineering leadership in San Francisco to ensure the unique requirements of the US markets are represented in the long-term roadmap. — Provide architectural oversight and executive presence for the most complex, high-stakes enterprise opportunities across the US. — Foster a local community of DevOps and SRE leaders, sharing best practices on operational excellence, incident response, and the ethical application of AI in operations. — Stay ahead of the curve on the competitive landscape, identifying market shifts and technical trends that PagerDuty can capitalize on. Requirements: — 15+ years of experience in technical leadership, solutions architecture, or product management within the SaaS, DevOps, or Cloud infrastructure space. — Proven track record of engaging with and influencing C-level executives at Fortune 500 or equivalent global enterprises, navigating complex organizations. — Proven ability to support and influence sales cycles with a solid grasp of sales processes and customer buying journeys. — Deep domain expertise in at least three of the following: Incident Management, SRE (Site Reliability Engineering), AIOps, Cloud Native Architectures, ITSM/ITIL, or Cybersecurity Incident Response. — Exceptional public speaking and written communication skills. — Ability to travel across the US and occasionally overseas. Preferred Qualifications: — Active involvement in the tech community (mentorship, open-source contribution, or advisory/board positions). — Experience navigating the regulatory landscape for US financial services or government sectors (e.g., FedRAMP) as it relates to cloud resiliency. Conditions: — Remote work based in the USA with location restrictions on certain states and provinces. — Full-time employment. Additional Information: — PagerDuty is an equal opportunity employer. — Provides reasonable accommodations for qualified individuals with disabilities. — Uses the E-Verify employment verification program.

About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, responsible for foundational infrastructure including AWS accounts, networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture. Responsibilities: — Lead and develop a senior Cloud Engineering team with coaching, feedback, performance management, and career development. — Own operational health of cloud infrastructure including incident response, on-call health, service-level objectives, resilience, and disaster recovery. — Launch and deliver a multi-quarter infrastructure insourcing program from planning through completion. — Guide technical priorities and tradeoffs across AWS infrastructure, networking, Kubernetes, infrastructure as code, GitOps, datastore operations, and compliance-related infrastructure. — Build leverage through software, automation, and paved paths to help product engineering teams use infrastructure safely and independently. — Support migrations with guidance and enablement while maintaining clear ownership boundaries. — Establish team norms for AI-assisted engineering and identify opportunities to reduce operational toil through AI and automation. — Maintain team health and continuity through change, fostering an inclusive, collaborative, and accountable environment. — Partner with various platform and product engineering teams on shared infrastructure priorities and dependencies. — Communicate roadmaps, operational risks, investment needs, and progress to leadership and stakeholders. — Participate in hiring and team planning as the organization grows. Qualifications: — 2+ years managing infrastructure, platform engineering, or site reliability engineering teams at a product company, including people management of on-call teams. — Demonstrated ownership of incident response, on-call health, and service-level objective frameworks. — Experience leading multi-quarter infrastructure migration or insourcing programs. — Technical fluency with AWS, Kubernetes, and infrastructure-as-code practices. — Experience managing leadership transitions and maintaining team engagement and retention. — Clear perspective on team norms and practices for AI-assisted engineering. — Strong communication skills. — Calm and accountable leadership, especially during incidents and change. Nice to Haves: — Experience with vendor negotiations or cloud cost management. — Experience supporting FedRAMP or compliance-related infrastructure. — Experience operating large-scale datastores or OLAP systems. — Experience growing a team through funded expansion. Pay: — Target pay ranges based on US geographic zones from $163,000 to $263,670 annually, inclusive of a 10% bonus target. About LaunchDarkly: LaunchDarkly provides a platform to improve software delivery velocity and stability, enabling developers to innovate faster with feature flagging and gradual rollouts, improving engineering productivity and customer experience. Equal Opportunity: LaunchDarkly is an equal opportunity employer valuing diversity and inclusion. Application: Apply via the provided link.