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Location: Москва Мы строим Enterprise Harness — платформу для разработки, исполнения и сопровождения GenAI-агентов в контуре банка. Memory-as-a-Service — единый платформенный сервис памяти, который помогает агентам сохранять значимый контекст, использовать накопленный опыт и персонализировать взаимодействие с пользователями между сессиями. Ищем Product Owner, который возьмёт направление в ownership: сформирует продуктовое видение и стратегию, выстроит роадмап и превратит работу с краткосрочной и долгосрочной памятью в безопасный, управляемый и удобный self-service для команд разработки агентов. Обязанности * формировать продуктовое видение и стратегию направления Memory-as-a-Service, определять роадмап и приоритеты бэклога * проводить продуктовые исследования: интервью с командами разработки агентов, анализ сценариев использования, обратной связи и инцидентов * проектировать удобный пользовательский путь для команд: от первого подключения сервиса до повседневной работы с памятью и оценки её качества * отслеживать тренды в области agent memory и context engineering, оценивать применимость новых подходов и решений к задачам сервиса * развивать сценарии использования краткосрочной и долгосрочной памяти и определять, как пользователи управляют её содержимым, жизненным циклом и доступом к данным * совместно с data science и командами разработки проверять гипотезы и проводить эксперименты, оценивать влияние новых подходов на качество агентов и пользовательский опыт * определять метрики качества и использования сервиса, отслеживать результаты и учитывать их при планировании развития * готовить и проводить презентации для внутренних стейкхолдеров: демонстрировать прогресс, обосновывать приоритеты и защищать продуктовые решения. Требования * опыт работы Product Owner или Product Manager с платформенными или AI-продуктами от 3 лет * опыт полного продуктового цикла: от исследования задач пользователей и проверки гипотез на прототипах и экспериментах до запуска и оценки результата * понимание agent/LLM-ландшафта, принципов работы AI-агентов, RAG и подходов к организации краткосрочной и долгосрочной памяти * умение анализировать исследования и новые решения в области AI-агентов, оценивать их ограничения и применимость к задачам продукта * опыт приоритизации бэклога в условиях конкурирующих запросов от нескольких команд и балансировки discovery и delivery * опыт использования AI-инструментов в продуктовой работе: GitHub Copilot, Claude Code или подобных * английский язык на уровне, достаточном для работы с исследованиями, технической документацией и материалами международного рынка * знание принципов работы OpenClaw/Hermes и Agent Harness. **Будет плюсом** * опыт развития self-service инструментов, RAG-систем или сервисов персонализации или других внутренних продуктов для инженерных команд * опыт запуска продуктов в банках, финтехе или крупных компаниях, где важны масштаб, надёжность и безопасность * опыт публичных выступлений: конференции, митапы, внутренние демо или образовательные мероприятия * наличие pet-projects, статей или практических кейсов по AI/GenAI и памяти AI-агентов. Условия * гибридный формат работы * годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * регулярные митапы и развитое DS-community * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбер.

Location: Kuala Lumpur, Malaysia Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing Endpoint & End-User Support Run the daily operation and maintenance of company laptops (macOS first, plus Windows), mobile devices (iOS and Android), IP phones and other desktop IT equipment. Handle device imaging and setup, software and hardware installation, configuration, updates, maintenance, troubleshooting and issue resolution. Create and maintain IT knowledge-sharing documents, SOPs and the service desk knowledge base, and keep improving employees' IT service experience and satisfaction. Office IT & Infrastructure Maintain office IT systems: IP phones, video conferencing and wireless presentation systems, printers, CCTV and access control. Support server room operations, structured cabling, UPS systems, switches, access points and routine inspections. Test and monitor office Wi-Fi, wired networks and VPN connections daily, troubleshoot network issues, and track infrastructure availability and performance through dashboards and alerts. Regional Support & Vendors Support regional offices with IT rollouts, new office setups and on-site project delivery, travelling when required. Implement Global IT strategies, technical standards, guidelines and solutions. Manage vendor relationships and coordinate equipment procurement, installation, maintenance and technical support with external service providers. AI & Automation Work with teams across the business to find valuable AI and automation opportunities, and deliver them end to end. Build, test and maintain internal tools, AI agents, AI skills and MCP integrations against REST APIs. Use AI to improve troubleshooting, ticket handling, documentation and reporting, and measure the impact. Drive adoption through demos, training and hands-on support, especially for non-technical colleagues. What We Look For In You Bachelor's degree or above; computer science, software engineering, networking or related majors preferred. 3+ years in IT support, IT engineering or a similar hands-on technical role. Experience in large IT companies preferred. Hands-on operation and maintenance experience across Windows, macOS, Wi-Fi, VPN and smart office systems. Basic knowledge of servers, networking, audio-visual systems and electrical principles, including Windows Server or Linux, virtualisation, backup and restore, switches, VLANs, WiFi controllers, firewalls and VPN. Software engineering ability: strong Python (or an equivalent language) plus PowerShell or Bash, comfortable with Git and code review, able to build, test, document and maintain internal tools and integrations against REST APIs. Please be ready to share a portfolio, GitHub profile or examples of tools you have built. Hands-on AI practitioner: a daily user of AI assistants (e.g. Claude, ChatGPT) with effective prompting skills, plus practical experience building AI agents, AI skills or MCP integrations. Comfortable working directly with business stakeholders to turn unclear requirements into practical solutions, and able to present and train non-technical users. Strong communication, presentation and facilitation skills. Proactive problem-solver who works well independently and with others, with flexibility on working hours (including evenings and weekends when needed) and on travel to regional offices. Fluent in spoken Malay, English and Mandarin. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

О продукте: Международный B2C-продукт в сфере utilities. Web-приложение с адаптивной мобильной версией. Задачи: • тестирование Web-приложения и мобильного адаптива • тестирование REST API • разработка и поддержка автотестов на Python • функциональное, интеграционное и регрессионное тестирование • тестирование клиент-серверного взаимодействия • работа с БД и проверка данных • анализ логов и локализация ошибок • участие в CI/CD процессе Требования: • коммерческий опыт в QA от 3 лет • опыт автоматизации на Python • опыт тестирования Web и адаптивной верстки • уверенное тестирование REST API, Postman • SQL, понимание структуры и связей БД • Git / GitHub • понимание HTTP/HTTPS, JSON, REST, client-server architecture • опыт работы с DevTools • умение самостоятельно локализовать проблему на уровне frontend, backend, API или БД Будет плюсом: • pytest • Selenium / Playwright • опыт с CI/CD • Linux / Unix • опыт тестирования платежей, подписок или fintech-продуктов

Задачи: • тестирование Web-приложения и мобильного адаптива • тестирование REST API • разработка и поддержка автотестов на Python • функциональное, интеграционное и регрессионное тестирование • тестирование клиент-серверного взаимодействия • работа с БД и проверка данных • анализ логов и локализация ошибок • участие в CI/CD процессе Требования: • коммерческий опыт в QA от 3 лет • опыт автоматизации на Python • опыт тестирования Web и адаптивной верстки • уверенное тестирование REST API, Postman • SQL, понимание структуры и связей БД • Git / GitHub • понимание HTTP/HTTPS, JSON, REST, client-server architecture • опыт работы с DevTools • умение самостоятельно локализовать проблему на уровне frontend, backend, API или БД Будет преимуществом: • pytest • Selenium / Playwright • опыт с CI/CD • Linux / Unix • опыт тестирования платежей, подписок или fintech-продуктов Условия: - Зарплата от 2000 EUR - Удаленная работа - Полная занятость (full-time)

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales. Responsibilities Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture You might be a good fit if you have 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams. A passion for the company's mission of building helpful, honest, and harmless AI. Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP. Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models. Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building an Analytics Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Portugal; Brazil; Poland; Argentina; India; Pakistan This position is open to candidates worldwide, meaning you can apply and work from anywhere as long as you meet all the requirements. As a Staff Software Engineer, you will be at the core of one of the most technically demanding challenges in modern web infrastructure: optimizing how web traffic is intercepted, processed, and delivered at massive scale across an edge computing platform. You will work on a system handling tens of thousands of requests per second and tens of billions of dollars of annual e-commerce volume, alongside a small, high-caliber engineering team where every engineer owns a meaningful piece of the system. This is not a ticket-execution role. You will be a technical leader in architecture and design, collaborating directly with the CTO and lead platform engineer to define how the platform evolves. You will plan rollouts methodically, define success metrics before shipping, debug complex cross-browser and cross-device behavior, and build systems that cannot fail. Responsibilities Design, build, and scale the core platform infrastructure handling high-volume web traffic at the CDN and edge computing layer Take an active technical leadership role in architecture design, technical planning, and authoring design documents with a long-term view Plan and execute gradual, methodical rollouts: define target audiences, KPIs, and success metrics before shipping significant changes Debug complex front-end behavior caused by backend platform changes across all browsers, devices, and geographies Collaborate with the data engineering team to ensure testability at scale and build the right measurement and observability framework Solve high-complexity technical problems with significant scope and ambiguity, where few established playbooks exist Mentor engineers and serve as a point of technical escalation for complex platform challenges Stay current with emerging web performance technologies, edge computing patterns, and browser optimization techniques Embrace and integrate AI coding tools into your engineering workflow to accelerate delivery and improve code quality Requirements 10 years of software engineering experience with a strong background in building and scaling high-traffic, multi-tenant web platforms Expert-level proficiency in TypeScript (primary language), JavaScript (real JS, not just framework-level), and Python Demonstrated experience designing and operating distributed, high-availability systems at meaningful scale Cloud platform experience: AWS, GCP, or Azure (cloud agnostic environment) Experience with CDN infrastructure and web performance optimization: tools such as Cloudflare, Lighthouse, WebPageTest, and techniques such as web workers, lazy loading, and code splitting Infrastructure as Code experience (Pulumi or equivalent) Strong SQL and data querying skills; ability to work with data warehouses and build data-driven engineering decisions Experience with message queues (SQS, Kinesis, or equivalent) and CI/CD pipelines Data storage: PostgreSQL, Redshift, or equivalent Strong problem-solving skills and detail orientation: understands that at massive traffic scale, edge cases are not edge cases Active AI tool usage in engineering workflow: Claude Code, GitHub Copilot, Codex, or equivalent Strong English communication: comfortable in technical discussions and async written collaboration with a distributed team Available to work full Eastern Standard Time hours Be legally authorized to work as independent contractor in the country where you are located Preferred Cloudflare Workers or edge computing experience (highly preferred given the platform architecture) E-commerce platform experience: Shopify, Salesforce Commerce Cloud, or similar Snowflake or data warehouse query optimization experience Media or high-traffic publishing platform background Experience running or leading a multi-brand or multi-tenant web platform Prior startup experience where you owned significant platform surface area with a small team Agile/Scrum experience in a distributed team environment Benefits Salary: $9,000 to $12,000 USD per month PTO: 15 days Holidays: Local or US holidays

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. HERE IS WHY WE LOVE THIS JOB OURSELVES, AND HOPE YOU WILL ENJOY IT TOO: - We work on a wide range of IT projects including automation, security, networking, and building integrations. - We value modern IT tooling and novel approaches to traditional problems. - We prefer working autonomously and asynchronously, proactively identifying and addressing issues, and operating with a builder's mindset. - We practice thorough code reviews and have an open design process. - Our products are loved by their users. HERE ARE THE PROJECTS YOU MAY BE WORKING ON: - Administering our core IT stack (Okta, Jamf, Google Workspace, Chrome Enterprise). - Creating new workflows and integrations both within our IT stack and with other systems and platforms across Teleport. - Hardening our macOS endpoints and securing our SaaS services. - Building upon our IT workflow automation tooling written in Go and using Temporal running on Kubernetes. - Collaborating with the engineering team on dogfooding Teleport, specifically Teleport Identity (identity governance), Teleport Policy (access policies), and Beams (runtime for agentic workflows). - Governing and securing corporate generative AI usage. - Providing IT support to internal users as needed. REQUIREMENTS: - Strong knowledge of modern IT platforms such as Okta, Jamf, Google Workspace, Google Chrome Enterprise, Zoom, and Slack. - Hands-on experience administering and hardening macOS endpoints. - Deep understanding of corporate IT identity, automation, and security concepts. - Experience (and a preference for) building with IaC/Terraform and CI/CD with GitOps. - Scripting experience with shell and object-oriented programming experience. - Experience with Go is a plus. - Experience with Linux systems administration and engineering. - Willingness and ability to roll up your sleeves and work on traditional IT tasks when needed, such as managing our internal facing helpdesk. WHAT TO EXPECT ONCE YOU APPLY: - You will join a 30-minute intro call where we will walk you through the compensation, interview process, and requirements. - We’ll invite you to a Slack channel and you’ll work on a coding challenge using Terraform and shell scripts (or Go) on GitHub. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE TECH FOUNDATIONS AREA 🎯 Mission: Tech Foundations enables product crews and creates the environment to thrive—combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. 🔭 Scope: 1. Infrastructure enablement for product crews (e.g. hosting improvements https://www.qovery.com/case-study/alan-case-study/, CI/CD https://medium.com/alan/moving-our-ci-cd-to-github-actions-40df3f7e4733, scalability, multi-cloud architecture) 2. Security and compliance facilitation (e.g. authentication, encryption, threat protection) 3. Developer productivity enhancements (e.g. local environment setup https://medium.com/alan/our-journey-from-react-native-to-expo-for-mobile-app-development-at-alan-%EF%B8%8F-3b1569e8ab7c, monorepo tooling https://medium.com/alan/building-debug-tooling-for-engineers-and-support-teams-alike-34cab315b9cc, observability, tech stack evolution, accessibility audits) 4. AI-assisted engineering enablement (e.g. agentic development, code assistants, MCP servers) 👀 Focus for 2026: In 2026, we will grow the team significantly to further increase our impact. We want to expand our cloud footprint with a revisited multi-cloud strategy as we expand internationally, while we’re elevating the quality bar, from infrastructure to code foundations (backend/frontend/mobile). We are also evolving our AI-augmented development, by putting AI code assistants as a first-class citizen for everyone, including non-engineers. Ultimately we have massive ambitions around our Security stack and posture with enhanced tools and processes to protect our developers and users. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in full-stack software engineering roles - Experience building internal tools, frameworks, CLIs, or libraries that improve developer workflows - Experience fixing scalability issues and/or bottleneck in the software development lifecycle, from writing code to deploying to production MINDSET WE VALUE - You think in terms of developer experience: engineers are your customers - You are collaborative, humble, and motivated by enabling others - You simplify complexity with elegant abstractions and maintainable code - You're excited about AI and automation in engineering workflows - You are fluent in English (no French required) - But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.

Основные требования: — От 1 до 3 лет коммерческого опыта разработки на C# / .NET — Понимание принципов REST и HTTP — Навык проектирования реляционных баз данных — Навык чтения чужого кода и работы в команде — Соблюдение стандартов качества кода и code review — Готовность работать в условиях активно развивающегося продукта — Опыт использования AI-инструментов для разработки (Claude, ChatGPT, GitHub Copilot) для ускорения разработки, анализа и рефакторинга кода, подготовки документации и решения технических задач Обязательные знания: — C# / .NET — уверенное владение языком и экосистемой — ASP.NET Core — разработка REST API — Entity Framework Core — ORM, миграции, работа с БД — PostgreSQL — проектирование схем, написание запросов — JWT — аутентификация и авторизация — Паттерны проектирования — Repository, Service Layer, DI Будет преимуществом: — Опыт работы с SignalR (WebSocket) — Знание Hangfire или аналогов для фоновых задач — Опыт интеграции с внешними HTTP-сервисами (IHttpClientFactory, Polly) — Знание FluentValidation — Опыт работы с MinIO или S3-совместимыми хранилищами — Понимание Docker и основ контейнеризации — Базовые знания Kubernetes — Опыт с CI/CD пайплайнами (GitLab CI) — Знание принципов OpenAPI / Swagger Чем предстоит заниматься: — Разработка и поддержка серверной части платформы цифрового ипотечного брокера — Разработка и поддержка REST API на ASP.NET Core — Работа с базой данных PostgreSQL через Entity Framework Core — Интеграция с внешними сервисами (банки, электронная подпись, госсервисы, SMS, хранилище файлов) — Реализация фоновых задач через Hangfire — Поддержка реального времени через SignalR — Написание юнит-тестов (NUnit, Moq) — Участие в code review Что предлагает: — Уникальный проект: BI Finance — единственный в Казахстане цифровой ипотечный брокер, часть экосистемы BI Group — Разработка серверной части продукта «с нуля» на современном стеке (.NET Core, EF Core, PostgreSQL) с возможностью влиять на архитектуру — Интересные технические задачи: интеграции с банками, госсервисами и ЭЦП, работа с фоновыми задачами (Hangfire) и real-time взаимодействием (SignalR) — Культура качественного кода: юнит-тестирование, code review, работа в команде с высокими стандартами разработки — Работа над продуктом с реальным влиянием на бизнес и клиентов — Возможность профессионального роста внутри продуктовой команды и участия в развитии архитектуры платформы — Стабильность и ресурсы крупной группы компаний при динамике и скорости продуктовой разработки Формат работы: офис, с 08:00 до 17:30

Основные требования: — От 1 до 3 лет коммерческого опыта разработки на C# / .NET — Понимание принципов REST и HTTP — Навык проектирования реляционных баз данных — Навык чтения чужого кода и работы в команде — Соблюдение стандартов качества кода и code review — Готовность работать в условиях активно развивающегося продукта — Опыт использования AI-инструментов для разработки (Claude, ChatGPT, GitHub Copilot) для ускорения разработки, анализа и рефакторинга кода, подготовки документации и решения технических задач Обязательные знания: — C# / .NET — уверенное владение языком и экосистемой — ASP.NET Core — разработка REST API — Entity Framework Core — ORM, миграции, работа с БД — PostgreSQL — проектирование схем, написание запросов — JWT — аутентификация и авторизация — Паттерны проектирования — Repository, Service Layer, DI Будет преимуществом: — Опыт работы с SignalR (WebSocket) — Знание Hangfire или аналогов для фоновых задач — Опыт интеграции с внешними HTTP-сервисами (IHttpClientFactory, Polly) — Знание FluentValidation — Опыт работы с MinIO или S3-совместимыми хранилищами — Понимание Docker и основ контейнеризации — Базовые знания Kubernetes — Опыт с CI/CD пайплайнами (GitLab CI) — Знание принципов OpenAPI / Swagger Задачи: — Разработка и поддержка серверной части платформы цифрового ипотечного брокера — Разработка и поддержка REST API на ASP.NET Core — Работа с базой данных PostgreSQL через Entity Framework Core — Интеграция с внешними сервисами (банки, электронная подпись, госсервисы, SMS, хранилище файлов) — Реализация фоновых задач через Hangfire — Поддержка реального времени через SignalR — Написание юнит-тестов (NUnit, Moq) — Участие в code review Условия: — Уникальный проект BI Finance — цифровой ипотечный брокер, часть экосистемы BI Group — Разработка серверной части продукта с нуля на современном стеке (.NET Core, EF Core, PostgreSQL) — Интересные технические задачи: интеграции с банками, госсервисами и ЭЦП, работа с фоновыми задачами и real-time взаимодействием — Культура качественного кода: юнит-тестирование, code review, работа в команде с высокими стандартами разработки — Работа над продуктом с реальным влиянием на бизнес и клиентов — Возможность профессионального роста внутри продуктовой команды — Стабильность и ресурсы крупной группы компаний Формат работы: офис, с 08:00 до 17:30

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid JOB ADVERT Senior Software Engineer, AI Enablement The role & impact You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day. This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey. The team & how they connect The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance. Initially, you will focus on - Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling - Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org - Developing guidance and best practice for authoring agent skills, including agents for remediation tasks - Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market Where and how you can work You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team. Here are some of the things we're looking for, for this role - You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly - You've built internal tools or platforms that other engineers genuinely relied on - Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live - You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background - You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading - You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Client: A global online sports betting company dedicated to building world-class technology products. Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery. Responsibilities: — Design, build, and maintain data and reporting solutions using modern technologies. — Test and develop Integration layer changes, ensuring user stories meet quality standards. — Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations. — Perform comprehensive test analysis and collaborate across cross-functional Agile teams. Requirements: — 3+ years of demonstrated experience with validation in Databricks. — In-depth experience in developing and maintaining automated test suites. — Proficiency in Python (preferred) and SQL. — Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure). — Strong skills in Database, ETL, Big Data, and API validations. — Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git). — Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL). — Solid background in Agile ways of working. Nice to have: — Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK). — Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL). — Experience using Jira and XRAY for test management. — Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki). What We Offer: — Vacation days: Up to 26 business days per year. — 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types. — Health and life insurance (Luxmed). — MyBenefit platform with Multisport option. — Internal psychological support service. — English language classes from the first working day. — Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training. — Flexible workplace: work from the office, from home, or choose a hybrid option. — Tech Skills Mentoring Program. — Opportunities to develop as a public speaker, mentor, or technical interviewer. — Fully paid idle (bench) when not involved in a project. — Certification reimbursement (AWS, GCP, Microsoft, etc.).

About us: Proxify connects top developers worldwide with opportunities. Since launch, Proxify developers have worked with 1200+ clients and 5000+ developers trust the network. Proxify supports remote full-time jobs with high ratings on Glassdoor and Trustpilot. The Role: Seeking a Senior QA Automation Engineer to be the primary architect of quality assurance strategy for a high-growth client team. Responsibilities include building scalable automation frameworks, defining test strategies, selecting tools, and integrating automated suites into CI/CD pipelines. The role is for a "Developer in Test" focused on building safety nets for confident code shipping. What we are looking for: — 5+ years in test automation with expertise in Playwright, Cypress, or Selenium — Ability to write clean, maintainable test code in TypeScript/JavaScript, Python, or Java — Experience building and scaling automation frameworks (Page Object Model, Screenplay Pattern) — Extensive experience testing RESTful and GraphQL APIs using Postman, SuperTest, or RestAssured — Hands-on integration of automated tests into pipelines using GitHub Actions, GitLab CI, or Jenkins — Mobile automation experience with Appium or Maestro is a significant advantage — Familiarity with performance testing tools like k6 or JMeter Nice-to-Have: — Knowledge of Docker for containerized testing — Experience with Visual Regression testing tools (Percy, Applitools) — Familiarity with Cloud Testing platforms (BrowserStack, Sauce Labs, AWS Device Farm) — Background in Security Testing (OWASP principles) Responsibilities: — Define automation roadmap and select tools matching client stack — Write, maintain, and optimize complex end-to-end integration and regression test suites — Collaborate with Developers and Product Managers to define "Definition of Done" and ensure testability — Identify, document, and track software defects, working closely with dev team — Act as "Quality Evangelist" by conducting code reviews for test scripts and sharing best practices What we offer: — On-time monthly payments with flexible withdrawal options — Predictable project hours with consistent 8-hour working days — Up to 24 flex days off per year without losing pay for full-time positions — Career-accelerating positions at cutting-edge companies — Hand-picked opportunities with no typical recruitment roadblocks — One-time contracting process for multiple opportunities — Consistent monthly compensation

Location: London, United Kingdom Workplace: none About InvestEngine We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait. About the role We’re hiring our first dedicated Analytics Engineer at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on. You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it. We’re actively modernising our data stack, and we want the person in this role to shape it. Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position is that the level matters less than the appetite. The ultimate test is hunger, and the desire to shape this space and have real impact . If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger. Beyond that, this role suits someone who: Operates well with ambiguity and limited structure. You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go. Wants a small, fast company on purpose — not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding. Lives in the tools, not in email chains. You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs. Can point to things they’ve actually built and shipped , not just designs or concepts they contributed to. Already uses AI to do the job better — Claude, Copilot, or similar — and is curious about where it can go further. Learns fast. We care more about how quickly you close a knowledge gap than how complete your CV looks today. Works well directly with Product, Marketing, Operations, and Engineering , not just with other analysts — this role sits right at that boundary. Our values Everyone at InvestEngine is expected to live these, and this role will be assessed against all five: Act like an owner — you take responsibility for outcomes, not just tasks Keep improving. Stay curious. — you push your own standards and the team’s, and you’re genuinely curious about better ways to work Achieve more together — you make the people around you (business stakeholders included) more effective, not just yourself Speak up. Share openly. — you flag risks, disagreements, and better ideas rather than sitting on them Put customers first. Create real value. — you build things because they solve a real problem, not because they’re interesting to build What you’ll do Analytics engineering & the semantic layer Design, build, and maintain dbt Core models that transform raw data into clean, well-tested, well-documented datasets Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against Establish and enforce data modelling standards, testing practices, and documentation as the function scales Evaluate and help roll out modern BI tooling — experience with Lightdash, Omni, Looker, or Metabase all translates well — to make metrics genuinely self-serve for non-technical stakeholders Building the AI context layer Structure our models, metric definitions, documentation, and lineage so they’re machine-readable, not just human-readable — because our semantic layer is what AI tooling reasons over Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is Use Claude to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and Notion AI to keep documentation and runbooks current and genuinely useful Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well Data engineering & the platform Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it Warehouse cost & performance Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about Data quality & observability Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows Upstream influence Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements before data reaches the warehouse — good analytics starts at the source, not in the transformation layer Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well Business partnership Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform Governance Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome Implement least-privilege access across datasets, reports, and dashboards What we’re looking for Must-haves Hands-on production experience with dbt (we run dbt Core) — this is a hard requirement Strong SQL expertise Solid Python for data engineering and automation Working knowledge of AWS data services Experience with GitHub and GitHub Actions (or equivalent CI/CD tooling) for testing and deploying data code Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics Comfortable using AI tools as part of your day-to-day engineering workflow Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch Nice-to-haves Airflow or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte Warehouse cost and performance tuning, particularly on Redshift Fintech, investment management, or another regulated industry Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection Experience with Notion AI or Asana automations Day-to-day working style We favour clear thinking and simple, well-tested solutions over cleverness We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included We believe data should be as accessible as it can safely be, and as restricted as it needs to be — good judgement applied consistently, not blanket lockdown Practical details Reports to: Chief Data Officer Team: Data & Analytics Level: Mid to Senior Location / working pattern: London / hybrid

Location: Remote in EMEA Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available. About the job Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit www.testlio.com . We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering. Why will you love this job? Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API. Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing. Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage. Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API. Why will you love being a part of Testlio? Great Culture: Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work: Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team. Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You: Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business: Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Shaping what's next Stay close to the code: Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently. Public API strategy: Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path. Integration architecture: Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core. Roadmap ownership: Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production. Running it with rigor Engineering operating rhythm: Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability. Technical leadership: Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions. Third-party dependency management : Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages. Production support and escalations: Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency. Reliability and observability: Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check. Team growth: Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation. What do you need to succeed? Technical skills Engineering management: 5+ years managing a team of 4+ engineers in an agile, remote environment. Hands-on technical leadership: Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team. Public or partner-facing API ownership: Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground. Third-party integration systems: Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control. Technical stack: Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns. Nice-to-haves Identity and access: Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles. Broader stack familiarity: Kafka, GraphQL, Python, and React are a plus. Observability and performance: Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions. Application security: Knowledge of application security best practices and integrating security review into the SDLC. Legacy modernization: Experience modernizing legacy systems or paying down significant technical debt while keeping a product running. SaaS experience: Prior experience managing a SaaS product is a plus. Human skills Fluency in English, with excellent written and verbal communication. Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting. Organized and thorough, with a meticulous approach to standards and process. Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement. Results-oriented, with data-driven decision-making. What is the application process? We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks. Application review Recruiter interview Hiring Manager Interview Live Technical Exercise 2 team and stakeholder interviews Reference checks Offer Diversity and inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the DEI section of our website. #LI-Remote

Location: Almaty, Kazakhstan Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Yerevan, Armenia Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.