Вакансии

Aston — аккредитованная аутсорсинговая IT-компания с 2007 года, штат 2500+ специалистов. Разрабатывает ПО и IT-решения в Finance, Healthcare, eCommerce, IoT, Media, Big Data, ML и др. Ищет QA Automation Engineer (Python) для работы над проектом международного телеком-оператора, развивающего 3G/4G покрытие по РФ. Задачи: — работа в квалифицированной команде на проекте с современным техническим стеком; — участие в изменениях, улучшениях, запуске новых направлений. Требования: — опыт работы QA Automation Engineer (Python) от 3 лет; — высшее IT-образование; — написание автотестов на Python+pytest: backend и UI; — опыт с Playwright по аутентификации (Storage state, cookies, storage); — уверенное знание SQL; — работа с БД через ORM; — опыт работы с брокерами сообщений Kafka; — понимание клиент-серверной архитектуры и HTTP; — опыт работы с Git; — базовые знания настройки CI для автотестов; — навыки интеграционного тестирования, подготовка данных, мокирование; — навыки нагрузочного тестирования (JMeter); — навыки параллельного запуска автотестов (Pytest XDist); — использование Pydantic vs JSON-схем для валидации ответа, мокирование запросов через page.route; — опыт параметризации фикстур vs параметризация тестов, multi-page сценарии в Playwright; — навыки мобильного тестирования; — анализ утилизации ресурсов сервера при нагрузке; — понимание системного промта и влияния на ответы LLM; — знание SOLID и DDD; — понимание разницы между инженером по качеству и автоматизатором; — понимание концепции мокирования. Будет плюсом: — опыт работы с RabbitMQ; — понимание RAG-систем; — знание промт-инъекций; — опыт тестирования LLM с подходом LLM-as-a-judge; — понимание галлюцинаций в ответах LLM; — написание пайплайнов CI/CD. Условия: — хорошая зарплата, обсуждается индивидуально, доплаты за менторство и профактивности; — долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review; — релокейт между офисами, выбор формата работы (удалённо, офис, гибрид), адаптация для новых сотрудников; — доступ к корпоративному порталу, митапам, конференциям (как гость и спикер); — социальный пакет: ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные; — корпоративные мероприятия: тимбилдинги, детские праздники, внутренние события. Офисы: Москва, Санкт-Петербург, Казань, Ростов-на-Дону, Нижний Новгород, Самара.

Задачи: — Разрабатывать новый функционал фронтенд части на Vue — Улучшать архитектуру проектов — Оптимизировать сборку — Проводить миграцию и обновление стеков — Осуществлять рефакторинг — Разрабатывать правила и подходы — Работать над дизайн системой — Создавать утилиты, библиотеки — Вести документацию — Настраивать и оптимизировать ci/cd, автоматизировать — Анализировать и оптимизировать производительность Требования: — Успешный опыт участия в создании крупных коммерческих приложений на Vue от 6-и лет — Понимание и использование архитектурных подходов фронтенд приложений — Опыт работы с микрофронтами — Глубокое понимание сборщиков, настройка и разработка тулов — Опыт работы с rest, grpc — Опыт оптимизации фронтенд приложений — Опыт работы в платформенной команде будет плюсом — Активное участие в развитии тулов и инфраструктуры в рамках гильдии (агенты, обвязки, скилы, рулы, работа с контекстом) Условия: — Аккредитованная IT-компания, которая создает и развивает один из ТОП-10 крупнейших интернет-магазинов страны — Персональное предложение по заработной плате и официальное трудоустройство — Гибкий график и возможность удаленной работы — Помощь карьерного консультанта для выбора индивидуального направления развития — Широкий социальный пакет со стоматологией, компенсация питания в офисе, скидки и бонусы от партнеров — Современное оборудование для работы — Стильный и уютный офис в центре Екатеринбурга и Москвы (по желанию) — Изучение английского языка в GA English Club, компенсация обучений и развитие в собственном онлайн-университете — Никаких ограничений по дресс-коду и внешнему виду

Location: Amman, Jordan We are looking to recruit Support & Implementation Engineers who will provide high-level onsite and remote IT technical liaison. The Support & Implementation Engineer will be responsible for enterprise solutions implementations and support services for incidents or issues. The position will require close collaboration with other technical support and engineering teams at different levels. Responsibilities Implement and install solutions at customer's infrastructure platforms. Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different implementation layers. Act positively and respond promptly to the customer’s requests/tickets. Prepare, review and ensure the accuracy of technical documentation. Conduct Preventive / Corrective Maintenance visits. Perform any other job-related duties related to work. Requirements Bachelor's Degree in Information Technology, Engineering/Science, Computer application, or any related field. At least 2 years experience in a similar field. Willing to travel and work extra hours when needed. Experience in database engines (Oracle, MS-SQL, and PostgreSQL). Experience in operating systems (Linux and MS Windows). Developed knowledge in cloud Infrastructure Orchestration Tools (Ex. Kubernetes, HashiCorp Nomad) Working experience in application servers (Ex. Apache Tomcat, Oracle WebLogic, IBM WebSphere). Knowledge and acquired skills of DevOps techniques including (CI/CD, Helm, Ansible) Knowledge in Directory Services (AD & LDAP). Excellent personal skills Professional effective communication, verbal and written Customer oriented mentality Details oriented and a team player Initiative and self-managed Time management and result oriented Experience in one or more of the below is a plus: Experience in large enterprise environments with emphasis on payments, remittance solutions. Experience in Cloud Computing, Virtualization Technologies, Storage, Network Infrastructure. Implementation experience of High Availability & Disaster Recovery, Backup & Recovery Strategies. Knowledge of PKI Infrastructure and Certificate Authorities. Knowledge of database engines (MySQL and NoSQL Databases). Knowledge of server and client operating systems (Linux Distros, MS Windows). Knowledge in Object Storage management. Knowledge of Security Authentication and Authorization Solutions (HashiCorp Vault and Keycloak). Knowledge in Cloud-based Solution Infrastructure (AWS, Azure, Google Cloud, OCI, IBM).

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. If you’re passionate and motivated by building modern, cloud native and cloud agnostic platforms we invite you to join us to build innovative crypto architectures and advance technologies that will accelerate the delivery of web3 innovations to our users. Responsibilities: - Infrastructure: You will be spearheading the planning and execution of infrastructure deployments, leveraging automation tools and best practices to guarantee a stable and scalable foundation for the platform serving our million users. - Operations: You will be managing day-to-day operations, troubleshooting issues, and optimizing workflows to maintain high availability (HA) and meet service level objectives (SLOs) for the platform. - Feature development: You will be owning backend features that support all our platforms (extension, mobile and desktop). - Interfacing with users: You will be interfacing directly with end-users and developers building on Trust Wallet – supporting them and collecting feedback to inform the direction of the product. - Team building: You will be working with the team to create and foster a culture of raising the bar with each new hire. - AI & DevX: You will leverage AI engineering best practices to boost developer productivity and engineering velocity—standardizing AI-assisted workflows (coding, reviews, debugging, incident response), building/maintaining internal tooling and prompts/guardrails, and measuring impact through delivery and reliability metrics. Qualifications: - Deep experience managing and building with Cloud Platforms (AWS, Cloudflare) - Experience with Kubernetes and adjacent technologies (Istio, Helm Charts) - Experience with infrastructure configuration management (Terraform, Atlantis) - Experience building CI/CD pipelines and accelerating application delivery (GitHub Actions, ArgoCD) - Experience with production observability technologies (Prometheus, Grafana, Sentry) - Hands on Go lang experience (Networking, HTTP, gRPC, OpenTelemetry) - Expertise in implementing SRE principles, focusing on maintaining high availability - Familiar with incident handling and on-call responsibilities - Experience leveraging AI-assisted engineering tools and best practices (e.g., LLM coding assistants, AI-driven code review/testing, prompt patterns/guardrails) - Strong security fundamentals and hands-on experience implementing cloud and Kubernetes security best practices. ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Los Angeles, USA Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential by building secure, reliable, and scalable internal systems that keep the company running smoothly. As a Staff Full-Stack Software Engineer specializing in AI, you will personally design and build the AI agent capabilities and product experiences for an internal enterprise intelligence platform. This includes the retrieval, orchestration, and reasoning layer that sits on top of a semantic data layer built and maintained by a partner data engineering team. You’ll turn these capabilities into search, chat, and workflow experiences that help leaders find information and make decisions faster. This is a hands-on, coding-majority role. You’ll build the agents, prompts, tool integrations, and full-stack product surface yourself. You’ll work directly with product owners, system leads, and domain experts across HR, Finance, IT, Legal, and Workplace to understand real workflows. You’ll also work closely with a partner data engineering team that owns ingestion, the semantic layer, and the underlying data model. You will consume and help shape requirements for that layer rather than building it yourself. Your work will directly improve how Rioters hire, plan, spend, onboard, and operate at scale. The ideal candidate is a deeply experienced full-stack software engineer who has personally shipped AI-enabled products at scale, is comfortable building in ambiguous and evolving problem spaces, and takes ownership of systems from the first commit through production operation. The role will report to the Manager of Enterprise Systems Engineering. Responsibilities: Build and maintain an orchestrator + specialist-agent architecture (retrieval, tool use, structured outputs, multi-step reasoning) on top of a semantic data layer owned by a partner data team. Design and implement retrieval and grounding for RAG/semantic search use cases: embeddings, reranking, citation of evidence, and techniques to reduce hallucination. Integrate agents with internal and external tools/APIs (function/tool calling) to let them take real actions, not just answer questions. Build the full-stack application layer, APIs, and UI that exposes AI-powered search, chat, and workflow experiences to end users. Instrument AI features with observability for quality, latency, token usage, and cost, and use it to drive iteration and tuning. Iterate on prompts and model choices quickly, with sensible fallback behavior when a model, tool, or retrieval step fails or returns low-confidence output. Apply solid engineering fundamentals: source control, code review, automated testing (unit, integration, functional), CI/CD, and on-call for the systems you own. Required Qualifications: Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent professional experience delivering enterprise technology solutions). 8+ years of professional experience in full-stack software development Practical, end-to-end experience building RAG or agentic systems: retrieval, tool-calling, structured outputs, multi-step reasoning, and verification/evaluation loops, not just familiarity with LLM APIs. Experience designing and running evaluation approaches for nondeterministic systems: curated datasets, automated metrics, human review, and production feedback. Experience establishing basic AI observability (quality, safety, reliability, latency, token usage, cost) for features you build. Working understanding of AI security and responsible-use risks, prompt injection, tool abuse, data leakage, access control, model limitations, sufficient to build safeguards into what you ship. Deep hands-on programming experience in Node, TypeScript, React. Experience with modern frameworks (e.g., NextJS, NestJS). Experience building RESTful and GraphQL APIs, working with relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Redis) databases. Comfortable with cloud infrastructure and deployment: AWS, containers (Docker), orchestration (Kubernetes), CI/CD pipelines. Familiar with software engineering best practices: automated testing, code review, monitoring/observability, security and performance considerations. Desired Qualifications: Deep practical knowledge of retrieval-augmented generation and semantic search, including embedding and reranking models, retrieval design, grounding, citations, and evaluation. Experience with agent platforms (e.g., LangGraph, AutoGen, CrewAI, or comparable), vector databases, and multi-agent orchestration patterns. Working familiarity with Python and lakehouse/data-catalog concepts (e.g., Databricks, Unity Catalog), enough to collaborate effectively with the data engineering team, without needing to own pipeline build-out. Experience shipping an internal AI product from scratch as part of a small, fast-moving team, comfortable with a "scrappy MVP, iterate" delivery style rather than a fully-specified roadmap. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: United States Workplace: Remote We are looking for a Senior Solutions Engineer, Federal/Public Sector to join our Solutions Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies, guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them, often inside classified or air-gapped networks. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells. WHAT YOU’LL DO - Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win - Lead or support post-sales relationships and renewals when needed - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings - Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks - Run proofs-of-concept that prove Coder’s value, including for agentic and LLM-powered development workflows, and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery - Serve as the agency’s voice, routing insights to Engineering and Product - Log feature requests and issues in our public/private Git repositories - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks - Contribute pull requests to Coder’s documentation WHAT WE’RE LOOKING FOR - Active TS/SCI clearance with Polygraph required at time of hire; U.S. citizenship required - Physically based in the DC / Maryland / Virginia (DMV) area, with ability to travel to customer sites as required - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling, ideally into federal, defense, or intelligence community customers - Experience with AI tooling at both the user level and infrastructure level, including coding agents and assistants (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM), and the ability to speak credibly to how agencies evaluate and adopt them, including in classified environments - Strong customer-facing skills that win trust with technical stakeholders and program offices - Ability to translate technical hurdles into mission value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions in secure, restricted-access environments - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS GovCloud, Azure Government, or on-prem/air-gapped Kubernetes deployments - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers, and operating within DoD/IC network boundaries - Startup-speed execution, ownership mindset, and a player-coach attitude WHAT SUCCESS LOOKS LIKE - You can walk into an ambiguous agency conversation, diagnose the real technical, security, and mission blockers, and design a proof-of-concept that proves value fast, even inside a classified network. - You translate deep technical fluency, including on agentic and LLM-based development workflows, into a business case that resonates with program managers, security officers, and mission owners alike. - Agencies leave your demos and PoCs with a clear, credible picture of how Coder fits their environment, their developers, and their AI agents, without compromising their security posture. - You are as invested in winning the account the right way as you are in closing the current deal; you spot risks early, whether technical, security, or procedural, and loop in the right people. - Your field experience feeds back into product and marketing, sharpening how Coder demos and sells into the public sector. BONUS TACOS - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Codex, or similar autonomous/semi-autonomous dev tools) - Prior military, intelligence community, or federal civilian service background - Experience with FedRAMP, DoD IL4/IL5, or ATO processes - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a QA to join a team that develops high-load services for video streaming, both on the server side and on the UI side. The candidate will have to participate in testing our js player, look for bugs on the server side and work together on the quality of our product. Job Responsibilities Testing new functionality, bug fixes and technical tasks related to our Live video streaming services and video player. Analysis of requirements and searching for bottlenecks during testing in collaboration with development and DevOps engineers. Selenium/Playwright/Appium/API autotests coverage immediately on the principle of "not covered - not release". Creating missing autotests for existing functionality. Manual testing and investigation of prod issues. You’ll thrive here if you have 5+ years of experience in web application (client-server) testing. 4+ years of AP I and UI auto testing experience using Python and QA Automation Test Patterns . Experience with Git, Bash, Docker. Ability to create comprehensive test scenarios. Nice to have Experience with Gitlab Cl (or any other ci/cd). Mobile and network conditions testing. Knowledge of video codecs (H264, H265, VP8, etc.). Experience with ffmpeg/ffprobe. Knowledge of how webRTC and HLS work. 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. Provident fund (Cypus): 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. 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 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 in 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. Recruitment process HR interview (40 min). Technical interview (1.5 hour). Live-coding (1.5 hour). Final interview (1 hour). Recommendations check. Job Offer.

Location: Milan, Italy; Biassono, Italy Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide. Our Tech-Stack We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. Here is a snapshot of our technology stack: - Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation. - Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React. - Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native. - Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.     THE DAY-TO-DAY 🛠️ - Architect the Future: Define long-term architectural standards and design resilient systems, leveraging stack. - Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes. - Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions. - Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output. - Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams. - Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results. - Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility.   YOUR SUPERPOWERS ⚡ - Experience: 10+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex products end-to-end and solving complex production issues. - Language & Tech Agility: Experience working with multi-language backends and frameworks and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency. - AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output. - Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing. - DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices. - Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs. - Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Las Vegas, Los Angeles, Phoenix, San Diego What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. For California (excluding Bay Area) based hires: Estimated annual salary of $234,000.00 - $292,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Requirements 2+ years with Python including strong knowledge of data libraries (pandas, multiprocess, Google Cloud SDK) 2+ years of experience in ETL/ELT technologies (REST API, GraphQL, DBT, etc. ) and data pipeline orchestration (e.g., Airflow, Astronomer, DBT cloud, etc) Hands-on experience with Snowflake Problem-solving and root cause analysis in live production systems along with experience querying and transforming large volumes of data, data quality and data validation Experience in SQL (SQL Server, Oracle, MySQL, BigQuery, Snowflake) Comfortable working with serialized data format (JSON, AVRO, XML, CSV) as well as compressed and encoded files Comfortable with ingesting data using REST APIs, data transformations and data loading/unloading techniques English proficiency sufficient to work in an international environment Nice to have Capable of designing and implementing data pipelines over cloud architecture Experience working with CI/CD deployments Experience working with GIT We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota; Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Anna hh@itransition.com

Location: Remote (USA) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs. Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse. Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions. Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals. Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company. What you bring to the table 7-10 years of data engineering experience with at least 5 years in production Databricks environments, preferably in a consulting or client delivery context. Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus. Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes. Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale. Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles. Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code. Understanding of data modeling, schema design, and query optimization. Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions. Above-average discipline and personal organization skills. Obvious comfort with critique and peer review in the context of an iterative development process. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of data engineering. Bonus points if you… Have worked with real-time streaming technologies (Kafka, Kinesis, etc.). Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus. Have experience in healthcare or fintech domains. Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines. Have experience with Java, Go, or Scala. Have strong illustration skills for technical diagramming and data architecture documentation. Speak, write, and/or educate publicly about data engineering topics. Have contributed to open-source data projects. Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals. Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Compensation is $150,000 - $180,000 Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: Limassol, Cyprus FREEDOM FINANCE TECHNOLOGIES is a Cyprus-based fintech company and part of the international financial holding Freedom Finance. We develop and maintain trading and banking IT products, as well as the holding’s IT infrastructure worldwide. Our team currently consists of 170 professionals.  Over the past three years, we have grown fourfold and continue to actively expand our team. Since 2009, we have been developing our core product - a trading system for brokerage operations in the stock market. More than 700,000 users across 41 countries use our applications. We are expanding our IT Infrastructure team and are looking for a Senior PHP Developer to join our amazing Billing team. Responsibilities Implement new modules into web applications. Integrate with external services. Deploy new code to production. Estimate development tasks. Participate in the design and improvement of the product infrastructure to enhance stability and performance. Collaborate with cross-functional teams to identify and implement solutions that meet business requirements. Design architectural solutions, technologies, databases, and infrastructure to ensure stable and high-performing systems. Requirements 6+ years of experience as a Backend or Full-Stack Developer, including at least 5 years of hands-on PHP development experience. Experience with at least one PHP framework, such as Laravel, Symfony, Zend Framework, or Yii. Strong understanding of object-oriented programming (OOP), SOLID principles, and common design patterns. Experience with CI/CD practices and pipelines; familiarity with real-time technologies such as WebSockets is a plus. Strong knowledge of SQL and relational databases. Confident use of Git via the command line. Good knowledge of the Linux command line, including the ability to independently set up and configure a web stack. Willingness and ability to write and maintain automated tests. Strong fintech background preferred Russian: native or C1 English: B1+ Experience working with monolith architectures and service-oriented migration Ability to understand product and domain context, not just execute tasks Benefits Benefits Office-based role in Limassol, Monday to Friday (5/2), with a hybrid work option. 21 paid vacation days per year. Paid sick leave. Child allowance: €400 per month for each child under 18 living with you in Cyprus. Access to company sports teams (football, volleyball, men's and women's sailing, and marathon). 50% reimbursement for private health insurance (if the standard insurance coverage is insufficient). Tickets to online professional conferences. Paid courses related to your field of work. Corporate discount on online English classes. Regular company events.

Location: Limassol, Cyprus FREEDOM FINANCE TECHNOLOGIES is a Cyprus-based fintech company and part of the international financial holding Freedom Finance. We develop and maintain trading and banking IT products, as well as the holding’s IT infrastructure worldwide. Our team currently consists of 170 professionals.  Over the past three years, we have grown fourfold and continue to actively expand our team. Since 2009, we have been developing our core product - a trading system for brokerage operations in the stock market. More than 700,000 users across 41 countries use our applications. We are expanding our IT Infrastructure team and are looking for a Senior PHP Developer to join our amazing team. Responsibilities Implement new modules into web applications. Integrate with external services. Deploy new code to production. Estimate development tasks. Participate in the design and improvement of the product infrastructure to enhance stability and performance. Collaborate with cross-functional teams to identify and implement solutions that meet business requirements. Design architectural solutions, technologies, databases, and infrastructure to ensure stable and high-performing systems. Requirements 6+ years of experience as a Backend or Full-Stack Developer, including at least 5 years of hands-on PHP development experience. Experience with at least one PHP framework, such as Laravel, Symfony, Zend Framework, or Yii. Strong understanding of object-oriented programming (OOP), SOLID principles, and common design patterns. Experience with CI/CD practices and pipelines; familiarity with real-time technologies such as WebSockets is a plus. Strong knowledge of SQL and relational databases. Confident use of Git via the command line. Good knowledge of the Linux command line, including the ability to independently set up and configure a web stack. Willingness and ability to write and maintain automated tests. Russian: native or C1 Fintech experience is a plus, as is experience with high-load systems. Benefits Benefits Office-based role in Limassol, Monday to Friday (5/2), with a hybrid work option. 21 paid vacation days per year. Paid sick leave. Child allowance: €400 per month for each child under 18 living with you in Cyprus. Access to company sports teams (football, volleyball, men's and women's sailing, and marathon). 50% reimbursement for private health insurance (if the standard insurance coverage is insufficient). Tickets to online professional conferences. Paid courses related to your field of work. Corporate discount on online English classes. Regular company events.

Location: Armenia; Russia; Serbia; Turkey; Georgia; Montenegro Libertex Group Overview Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. We build innovative fintech so people can #TradeForMore with Libertex. Job Overview We are looking for a Senior Machine Learning Engineer who will play a pivotal role in implementing, enhancing, and maintaining our machine learning solutions. Responsibilities: Work closely with business departments (Sales, Marketing, Products, Payments, Dealing) to understand their needs and translate these into practical, scalable, and robust machine learning solutions. Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling, GenAI-applications (AI agents, chatbots, MCP) Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation. Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring. Requirements Great understanding of business and where ML solutions can fit and bring value Technological stack - Python, PyTorch,, SQL (MSSQL, Postgres), ClickHouse, AWS (Sagemaker, Bedrock, EC2, EKS), Docker, FastApi, Kafka, Airflow Establishing and maintaining MLOps practices, including version control for models, automated testing, and CI/CD for ML systems Utilise AWS ML (or similar) services for developing and deploying models General understanding of IT infrastructure, various data source types, development processes etc. Great to have previous experience in applying data science tools to mobile apps, gaming or fintech Intermediate level of English Experience with LLMs (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP). Benefits Quarterly bonuses based on Company performance Generous relocation package for the employee and their immediate family Medical Insurance Plan with coverage for the employee and their immediate family from day one 24 working days of annual leave Yearly reimbursement of travel expenses for the employee and family's flight home Corporate events and team building activities Udemy Business unlimited membership & language training courses Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Location: Toronto; San Francisco; London; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As a Senior Security Engineer you will: - Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues - Lead security operation functions – including vulnerability management, SAST, DAST, detection engineering, and incident response – in CI/CD and cloud-native production environments - Integrate security into our applications throughout the software development lifecycle - Collaborate with product and development teams, driving the success of larger projects to ensure that software is built and deployed securely without compromising agility and speed - Driving and supporting bug bounty program, application security reviews and threat modeling, including code review and dynamic testing - Assess and integrate security tools to automate and scale security processes, i.e: evaluate open-source vs vendor solutions - Gather and analyze security metrics to address security issues with cross-team dependencies - Be a problem solver who is empathetic to developer concerns and will employ constructive and flexible approach to building innovative solutions You may be a good fit if: - 5+ years previous experience in Application/Product Security or Security Operations with a strong focus on security tool onboarding and optimization - You have an understanding of vulnerability management, network security, cloud security concepts, and industry best practices across many fields of security - You are comfortable with ambiguity and are able to make informed decisions with little data - You employ a flexible and constructive approach when solving problems - You are able to make trade-offs between build vs. buy decisions - help build solutions and able to review what tools are available - You understand secure engineering best practices, can articulate problem statements and propose solutions to both technically savvy and non-technical audiences - You have a deep technical understanding of common security vulnerabilities and risks, as well as countermeasures and compensating controls - You’re a hands-on security engineer interested in automating controls FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re looking for a Senior Business Systems Engineer to own and evolve Ramp’s Quote-to-Cash systems. You’ll build and maintain Ramp’s Salesforce-based quoting platform, contract workflows, and Billing/Core integrations that turn complex commercial agreements into accurate, supportable customer outcomes—from quote creation and approvals through order forms, provisioning, billing, renewals, and amendments. This is not a Salesforce CPQ implementation role. Ramp uses an in-house Quote-to-Cash platform built on Salesforce, so we’re looking for a strong Salesforce engineer with experience in quoting, pricing, contracts, billing, subscriptions, or other complex commercial workflows. This role sits in Growth Engineering’s Business Systems Engineering team and partners closely with Deal Desk, Legal, Finance, Billing Engineering, Product, and GTM teams. You’ll combine hands-on Salesforce engineering with systems design and strong commercial judgment to make high-stakes revenue workflows reliable, scalable, and easier for teams to use.     WHAT YOU’LL DO - Design, develop, test, and deploy applications on the Salesforce Platform. - Design, build, and operate Ramp’s Salesforce-based Quote-to-Cash platform and the integrations between Salesforce, Ironclad, Billing/Core, and adjacent business systems. Own data contracts, idempotency, error handling, reconciliation, and safe lifecycle changes for quotes, contracts, and subscriptions. - Design, develop, and maintain integration solutions using in-house services and approved automation platforms. - Drive architecture, tooling, and design decisions that keep commercial systems fast, reliable, and scalable. - Write and communicate technical specifications, including architecture diagrams, data models, process flows, and sequence diagrams. - Own data integrity and the operating assumptions for your domain; continually improve them. - Partner with the rest of the team on code reviews, operational support, debugging, and solution design. WHAT YOU’LL NEED - 7+ years building applications on the Salesforce Platform. - 5+ years of systems architecture and integration experience. - Strong hands-on experience with Apex, triggers, Lightning Web Components, Flows, and asynchronous processing. - Working knowledge of another programming language, such as Python. - Strong API and integration-design skills, including reliable handling of retries, duplicate events, partial failures, and data reconciliation. - Experience with Quote-to-Cash domains such as quoting, pricing, approvals, contract lifecycle management, billing, subscriptions, renewals, or amendments. Experience with Salesforce CPQ is welcome but not required. - Familiarity with the broader GTM stack beyond Salesforce, such as Gong, LeanData, contract lifecycle management, billing, or revenue systems. - Strong knowledge of synchronous and asynchronous integration patterns, streaming APIs, and publish/subscribe architectures. - Working knowledge of data pipelines, CI/CD, Salesforce platform limits, code coverage, and unit-testing practices. - Excellent written and verbal communication skills, including the ability to translate complex commercial requirements into simple, durable system behavior with non-engineering partners. - Experience using AI-assisted development tools thoughtfully and evaluating their output. NICE TO HAVES - Snowflake/DBT - Kafka experience - Experience with Agile methodologies BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: United States Workplace: Remote We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells. What you will be doing: - Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives - Install Coder on cloud and on-prem Kubernetes or VM infrastructure - Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact - Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product - Track and report product issues and feature requests using Linear - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation - Contribute pull requests to Coder’s documentation What you bring: - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling - Strong customer-facing skills that win trust with technical stakeholders - Ability to translate technical hurdles into business value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS, Google Cloud, or Microsoft Azure - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers - Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them - Startup-speed execution, ownership mindset, and a player-coach attitude Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools) - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are looking for a Senior Release Engineer to help design, standardize, and operate reliable enterprise application delivery across the Enterprise Technology & AI team. This role will establish scalable CI/CD practices for business-critical platforms such as Salesforce, Zuora and other Business Systems while enabling engineering teams to ship changes safely, quickly, and with clear operational controls. The ideal candidate combines strong release engineering and automation skills with practical experience supporting enterprise SaaS applications. You will build and maintain GitLab CI/CD or comparable CI/CD pipelines, develop reusable scripts and deployment tooling, improve release governance, and partner with application, security, compliance, and business teams across the release lifecycle. Daily use of approved AI-assisted engineering tools, including Claude, Duo Agent Platform or comparable enterprise-approved tools, is a mandatory expectation for DevOps, troubleshooting, documentation, testing, and automation activities. What you'll do Design, build, and maintain GitLab CI/CD or comparable CI/CD pipelines for enterprise applications, including validation, testing, packaging, deployment, promotion, rollback, and post-release verification. Develop reusable automation using scripting languages such as Python to reduce manual release activities and improve repeatability. Use approved AI-assisted engineering tools such as Claude or similar tools every day to accelerate pipeline development, scripting, test creation, troubleshooting, documentation, release analysis, and operational automation. Define and implement CI/CD patterns for platforms such as Salesforce, Zuora, and other Business Systems. Establish environment and promotion strategies across development, test, staging, and production, including configuration management and deployment sequencing. Implement quality gates, automated checks, approvals, audit trails, and policy controls appropriate for enterprise application releases. Partner with application owners and development teams to define branching, versioning, release cadence, and rollback standards. Improve release observability through deployment dashboards, pipeline metrics, change records, notifications, and operational reporting. Investigate failed deployments and release issues, lead root-cause analysis, and implement durable corrective actions. Contribute to release calendars, change planning, blackout-period coordination, and risk-based release decision-making. Build documentation, runbooks, reusable templates, and enablement materials so teams can adopt consistent delivery practices. Coach engineers and application teams on GitLab CI/CD or comparable CI/CD tools, release automation, trunk/branching strategies, testing, and operational readiness. Collaborate with security, compliance, architecture, and enterprise application stakeholders to meet control requirements without creating unnecessary delivery friction. What you'll bring Bachelor’s degree in Computer Science,Information Systems, or equivalent practical experience. 7+ years of experience in release engineering, DevOps or a related discipline. Experience in Release & deployments for enterprise SaaS applications such as Salesforce, Zuora or Business Systems. Strong hands-on experience designing and operating GitLab CI/CD or comparable CI/CD pipelines in production environments. Proficiency in at least one scripting language, such as Python, with the ability to write maintainable automation and integrations. Mandatory hands-on experience using AI-assisted development and automation tools such as Claude or comparable enterprise-approved tools as part of day-to-day DevOps and release engineering work. Experience with source control, branching and merging strategies, artifact management, automated testing, deployment orchestration, and rollback practices. Working knowledge of REST APIs, webhooks, JSON, authentication patterns, and integration troubleshooting. Experience managing releases across multiple environments with strong attention to configuration, dependencies, access controls, and auditability. Demonstrated ability to troubleshoot pipeline failures, deployment issues, integration defects, and environment inconsistencies. Strong communication and collaboration skills, with the ability to work effectively across engineering, business, security, compliance, and operations teams. Enterprise application releases become more predictable, repeatable, and transparent. Manual deployment effort and avoidable release errors decrease through automation and standardization. About the team ETA teams adopt reusable GitLab CI/CD or comparable CI/CD patterns for Salesforce, Zuora, and other enterprise platforms.Release quality improves through automated validation, testing, policy checks, and post-deployment verification. Deployment, change, and compliance evidence is available through reliable pipeline records and operational reporting. Application teams can move faster while maintaining appropriate controls for business-critical systems. AI-assisted DevOps adoption measurably improves engineering throughput, troubleshooting speed, automation coverage, and documentation quality without reducing delivery controls. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .