Вакансии

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Описание вакансии Международный fintech. Задачи: — Разрабатывать и развивать сервисы на .NET для core-функционала финтех-продукта — Проектировать API/интеграции, работать с асинхронными процессами и брокером сообщений — Повышать надежность и observability существующих сервисов — Участвовать в code review, декомпозиции, оценке и технических решениях Требования: — .NET Core от 5-ти лет опыт проектирования и разработки сервисов — Опыт работы с реляционными бд (транзакции, оптимизации запросов) — Понимание принципов ООП, основных паттернов проектирования, SOLID, KISS, DRY — Опыт работы с брокерами сообщений и основными паттернами асинхронного взаимодействия, outbox, inbox, saga — English intermediate+ Будет плюсом: — DDD — Опыт с high-load/high-availability системами, построение resiliency — full stack ReactJS

Location: Baku Workplace: onsite ABOUT YOU You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. WHAT YOU'LL DO Software Engineering & Problem Solving: Build and ship reliable, secure, and scalable backend systems. Own implementation from design to deployment, ensuring maintainability and performance. Participate in architectural discussions and offer informed technical input. Refactor legacy codebases to improve structure and efficiency while maintaining feature continuity. Drive production readiness by handling incident response, root cause analysis, and observability improvements. Technical Excellence: Write clear, testable, and well-documented code, emphasizing quality and automation. Contribute to a culture of engineering excellence through code reviews and design discussions. Advocate for sound software development practices and continuous improvement. Collaboration & Impact: Work closely with product managers, designers, and other engineers to align on objectives and deliverables. Contribute to technical scoping and estimation for features and infrastructure work. Identify opportunities to reduce technical debt and improve the developer experience. QUALIFICATIONS 6+ years of professional experience in software engineering. 2+ years of hands-on experience with Go (Golang ) in production environments. Strong experience working with PostgreSQL and/or MySQL. Proficient with containerization and orchestration tools: Docker, Kubernetes (K8s), and Helm. Familiarity with messaging systems like RabbitMQ or Kafka. Comfortable using Git and CI/CD tooling in collaborative workflows. Working knowledge of frontend technologies, especially React and/or Next.js . Basic understanding of cloud platforms (GCP preferred). WHAT SETS YOU ARART Experience building scalable, secure Login-as-a-Service platforms. Deep knowledge of OAuth2, OIDC, SAML, JWT, and session/token management. Strong grasp of social login, SSO, and federated identity. Designed multi-tenant identity systems with isolation and configurability. Delivered developer-friendly APIs, SDKs, and integration documentation. Strong English communicator, for both technical and non-technical topics. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Задачи: — Проектировать и разрабатывать AI-агентов; — Разрабатывать и оптимизировать промпты, учить агентов взаимодействовать с продуктами компании; — Решать задачи NLP: классификация, суммаризация, NER, семантический поиск, кластеризация и другие; — Писать поддерживаемый, читаемый код в рамках разработки AI-агентов (Python 3.12+); — Участвовать в разработке на всех этапах жизненного цикла AI/ML (от предобработки данных до деплоя и мониторинга в проде); — Выводить GenAI-приложения в прод совместно с DevOps-командой. Требования: — Опыт создания агентов на современных фреймворках (LangChain, LangGraph, LlamaIndex, Agno, Pydantic AI Harness и др.); — Знание стратегий планирования AI-агентов (ReAct, Plan-and-Execute и т.д); — Уверенная работа с LLM API (OpenAI, vLLM, Anthropic и др.); — Понимание агентских протоколов (MCP, A2A, AG-UI); — Сильный prompt engineering + chain/tool/function calling; — Опыт работы с векторными БД (Weaviate, Pinecone, Qdrant, Milvus и др.); — Опыт оценки качества LLM-систем (RAGAS, DeepEval, LLM-as-a-Judge или аналоги); — Опыт работы с Linux, Git, Docker, умение упаковать своего агента в контейнер. Условия: — Официальное оформление по ТК РФ; — Профессиональные митапы и встречи для обмена опытом; — Сообщества по интересам: спорт, игры, книги, аниме; — Гибкий график без контроля времени работы; — ДМС со стоматологией с первого месяца; — Обучение: сертификация, профильные курсы, конференции, митапы, хакатоны, CTF-ы; — Свободная атмосфера без дресс-кода и бюрократии; — Поддержка креатива и возможность профессионального роста; — Скидки на фитнес, покупки и многое другое; — Корпоративные мероприятия, спортивные старты, мерч и подарки; — Команда экспертов, выступления на конференциях, публикации; — Забота о здоровье и регулярные синки по проектам; — Прозрачные коммуникации и свобода от бюрократии; — Финансирование сертификации, обучения и участия в мероприятиях.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques. As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java11, JUnit5, Docker and Kubernetes AWS, GCP Terraform, WireMock, RestAssured Bazel, BuildKite What You’ll Do Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback. Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness. Write high-signal test strategies for complex features and automate them across multiple environments. Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions. Build internal tools and proof-of-concepts using AI/LLM technologies to: Accelerate debugging and failure triaging Generate high-quality test scenarios Detect flaky patterns or regression risks Improve log analysis and root-cause identification Enhance developer and QA productivity Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines. Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes. Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals. Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking. Skills We’re Looking For 5+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence. Deep understanding of OOP principles and strong proficiency in Java. Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios. Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). Experience building and maintaining CI/CD pipelines with tools such as Jenkins, CircleCI, Buildkite. Experience working with backend automation frameworks. Knowledge of database testing and ETL/data pipeline validation is a strong plus. AI & Productivity Engineering Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities. Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines. Ability to design prompt strategies, validate LLM outputs rigorously and implement safeguards to prevent hallucinations or unsafe automation. Experience streamlining workflows using AI to improve measurable engineering productivity. Comfortable feeding, tuning and orchestrating AI agents to solve real engineering problems. Strong outcome orientation, measures success through impact, reliability gains and velocity improvements rather than output volume. #LI-HYBRID #LI-VM1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Обязанности: — Тестировать онбординг-воронки end-to-end, проходить воронку как пользователь от первого шага до постпеймент-экрана. — Тестировать веб-приложение и iOS-приложение: функциональность, пользовательские сценарии, стабильность работы продукта. — Проверять аналитику и трекинг — состав, порядок и properties Mixpanel событий, рекламные пиксели и теги, корректные id и события для конкретного домена. — Тестировать платёжные интеграции (Stripe, Adyen): Apple Pay и оплата картой, созданные транзакции и инвойсы, дескрипторы в дашборде, поведение при неуспешной оплате и повторные попытки. — Проводить UI/UX-тестирование: корректность отображения интерфейсов, верстки, адаптивности и поведения UI-компонентов. — Работать с DevTools: анализировать сетевые запросы, ошибки в консоли, логи и корректность работы фронтенда. — Документировать результаты тестирования: чек-листы, тест-кейсы, баг-репорты с воспроизводимыми шагами. — Работать в паре с AI-QA-агентом: запускать прогоны агента, разбирать отчёты и поддерживать чек-листы, на которые он опирается. Требования: — Опыт функционального и нефункционального тестирования. — Уверенное использование Chrome DevTools. — Опыт тестирования платежных интеграций (Stripe, Adyen или аналоги). — Понимание веб-аналитики: события и их properties, рекламные пиксели, UTM-метки. — Понимание жизненного цикла разработки ПО (SDLC). — Аккуратность к цифрам и умение чётко воспроизводить и описывать баги. — Опыт тесной коммуникации с разработчиками, продакт/проект-менеджерами и маркетологами. — Опыт написания чек-листов, тест-кейсов и баг-репортов. — Английский на уровне чтения технической документации и интерфейсов. Условия: — Full-time, удалённая работа с гибким графиком. — Оформление: договор с иностранной компанией (Европа), через ИП или инкубаторы для других стран. — 15 рабочих дней отпуска и 4 sick days в году. — Влияние на продукт, поддерживающая команда и прозрачные процессы.

Компания Mirantis разрабатывает решения для облачной и AI-инфраструктуры. Требования к стеку: Prometheus, Grafana, OpenTelemetry, Loki, Thanos/Cortex/Mimir, Elasticsearch/OpenSearch, Jaeger/Tempo; Go, Python, Rust. В компании работают русскоязычные специалисты. География и формат работы: удалённо из Барселоны.

Задачи: — Развитие и эксплуатация Kubernetes-инфраструктуры; — Построение и развитие CI/CD-процессов; — Управление инфраструктурой как кодом (Terraform); — Автоматизация процессов развертывания и эксплуатации; — Развитие мониторинга, логирования и observability; — Обеспечение безопасности инфраструктуры и внедрение DevSecOps-практик; — Работа с отказоустойчивостью, backup и Disaster Recovery. Требования: — Уверенное администрирование Linux и хорошее понимание TCP/IP, routing, VLAN, NAT, VPN; — Практический опыт с Docker и Kubernetes; — Опыт работы с Helm, Terraform; — Опыт построения CI/CD: GitLab CI / GitHub Actions / Jenkins; — Опыт с Vault и управлением секретами; — Опыт с мониторингом и логированием: Prometheus, VictoriaMetrics, ELK; — Опыт эксплуатации PostgreSQL и Kubernetes Storage; — Понимание принципов безопасности инфраструктуры и least privilege. Будет плюсом: ArgoCD / Flux, Cilium, eBPF, Istio / Linkerd, Talos OS, Velero, сертификаты CKA / CKAD / CKS / Vault Associate. Условия: — Компания: ioka group — Локация: Алматы — Формат работы: офлайн — Уровень: Mid+,Senior — З/п:1 000 000 -1 500 000

Location: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role / impact This senior engineering post sits right at the core of Practice Tools, balancing hands-on delivery with leading the team's adoption of artificial intelligence. You will own crucial infrastructure, CI/CD pipelines, monitoring, and alerting, ensuring reliable foundational systems that wider product teams depend upon. Beyond core engineering, you will spearhead the transition toward an agentic software development lifecycle. By building on existing prototype agents, experimenting with AI-assisted workflows, and mentoring team members, you will shape how software is built while establishing a clear trajectory towards future technical leadership. The team / how they connect You will join a collaborative, close-knit group of engineers based across New Zealand who manage staff permissions, practice provisioning, and system deletion. The team operates with high autonomy, working closely together to deliver foundational capabilities that power the broader Practice Tools ecosystem. Communication is open and frequent, creating a supportive environment where diverse perspectives and fresh ideas are truly valued. Initially, you will focus on - Delivering key billing changes within the Practice Tools domain using React, JavaScript or TypeScript, and Java or .NET. - Rolling out the Xero Partner Hub across all global regions to elevate the practice experience. - Retiring legacy HQ components once the hub is live to improve system reliability and cost efficiency. - Aligning authorization models with OAuth standards while advancing AI-driven automation across the delivery pipeline. Where and how you can work This position offers flexible working options for candidates based in New Zealand. You can choose to work remotely from home or access our modern office spaces in Wellington or Auckland. Whether you prefer coming into an office daily or working entirely from home, our setup supports your preferred working style alongside occasional team connection opportunities. Here are some of the things we are looking for - Experience developing web applications using React alongside JavaScript or TypeScript. - Solid background in backend development (Preferably either Java or .NET) - Practical knowledge of modern DevOps practices, including CI/CD pipelines using tools like GitHub Actions, Jenkins, or Spinnaker, along with robust monitoring and alerting. - Direct hands-on experience building with AI and agentic systems beyond basic prompt engineering. - A proven track record of mentoring junior colleagues and patiently guiding team members through new technical methodologies. - A proactive, self-directed mindset with the drive to take ownership of complex technical challenges and grow toward senior leadership. 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.

Задачи: — Присоединиться к инженерной команде для проектирования и реализации полнофункциональных пользовательских решений безопасности, защищающих сотни миллионов пользователей Discord. — Возглавлять работу по укреплению безопасности сессий и аутентификации пользователей Discord. — Улучшать, эксплуатировать и поддерживать критически важные для безопасности сервисы аутентификации, отвечая за их корректность и безопасность. — Сотрудничать с продуктовыми командами для внедрения более надежной аутентификации и выпуска пользовательских инструментов безопасности аккаунтов. — Определять и разрабатывать решения для новых угроз безопасности пользовательских аккаунтов. — Исследовать и внедрять новые возможности безопасности для платформы Discord, оставаясь в курсе современных тенденций в области аутентификации и безопасности сессий. — Создавать средства и инструменты безопасности, ориентированные на самообслуживание, автоматизацию и производительность для выявления и устранения уязвимостей безопасности аккаунтов. Требования: — Опыт обеспечения безопасности производственных приложений не менее 5 лет. — Опыт программирования не менее 3 лет на одном из языков общего назначения (Python, Go, Java или Rust). — Практический опыт разработки и выпуска программного обеспечения, включая функции безопасности, средства контроля, фреймворки или защитные механизмы. — Опыт работы с аутентификацией и безопасностью аккаунтов, включая WebAuthn, passkeys, FIDO2, MFA и управление сессиями. — Умение анализировать безопасность сложных систем и давать инженерам четкие рекомендации по безопасному проектированию и реализации. — Опыт руководства проектами безопасности в кросс-функциональных командах. — Опыт разработки или усиления клиентских приложений, таких как настольные или нативные мобильные приложения. — Опыт работы в облачных средах (используется Google Cloud, но приемлем опыт с другими платформами). Преимущества: — Опыт программирования на системных языках (например, C, C++). — Опыт разработки, эксплуатации и отладки производственных систем. — Знание распространенных уязвимостей приложений на платформах, на которых работает Discord. Условия: — Работа в удаленном формате в часовом поясе Pacific Standard Time. — Возможна помощь с релокацией в район залива Сан-Франциско. — Годовой базовый оклад от $196,000 до $245,000 плюс акции и социальные гарантии. — Зарплата определяется уровнем роли, навыками, опытом и образованием. Контакт и отклик: Откликаться на вакансию можно по ссылке: https://weworkremotely.com/remote-jobs/discord-senior-software-engineer-application-security

Position Summary: Prove empowers customers to create memorable experiences across all client interaction channels. Solutions Engineers act as subject matter experts, providing product and market expertise essential for Prove's growth. They collaborate with Sales Directors and Strategists to communicate solutions and support implementation teams. They also work with product leaders to stay ahead of market trends and unmet needs. Key Responsibilities: — Design and clearly communicate solutions demonstrating understanding of business value and technical challenges. — Partner with Sales Directors, Account Managers, and Strategic Account Managers to drive technical wins and align with technical buyers during sales cycles. — Participate in IPM / OM hand-offs as needed. — Lead product and technology evaluations with Sales Directors to ensure successful client engagements. — Deliver detailed product presentations and demonstrations. — Build credibility with prospects through expert knowledge of product, technical, business, and industry domains. — Address business and technical challenges with tailored Prove services and solutions. — Assist sales teams in articulating value propositions and selecting optimal solutions. — Support execution of approved Proof of Concept (POC) Data Studies alongside Data Science. — Support handoff to Onboarding Manager, IMP, Account Manager at various customer lifecycle stages. — Collaborate cross-functionally with Sales, Account Management, Onboarding, Implementation, Solutions Consulting, Product Management, and Executive teams to close new customers and ensure successful implementation. — Stay informed on industry trends and market disruptors through reading, workshops, and webinars. — Create public-facing architecture/flows of Partner + Prove integrations. — Enable Prove SEs and IPMs on technical integrations for accurate communication alongside sellers. — Enable Partner technical counterparts on Prove value proposition and integration to support partner sellers. — Own technical and product evaluation and integration planning for new partner integrations in partnership with GTM Partnerships. Qualifications and Experience: — Minimum 2 years of relevant experience in solutions architecture, technical pre-sales, or solutions engineering. — Experience in a high-growth startup or technical environment. — Technical experience implementing REST style APIs. — Solid understanding of oAuth and other API authentication technologies. — Good understanding of API integrations from standard API specifications in one or more programming languages such as Javascript, Java, C++, Python. — Ability to build customized workflows by engaging with customers. — Understanding of basic security concepts including encryption, hashing, behavior biometrics, and native app SDKs. — Responsive and dedicated to clients, both internal and external. — Strong verbal, writing, storytelling, and client interaction skills. — Clear sense of ownership and accountability. — Self-starter with capacity to learn quickly. — Preferred experience in cybersecurity, fintech, or fast-growing startups. Salary: — Metro 2 areas (NYC, Seattle, Los Angeles, Miami): $125,000 - $135,000 plus sales incentive plan. — Metro 3 areas (other US cities except San Francisco Bay Area): $110,000 - $123,000 plus sales incentive plan. — Salary determined by experience, skills, geo-location, internal equity, and market data. Benefits & Perks: — Competitive salaries, bonus plan, and equity plan. — Modern Health for financial, mental, and physical wellness. — 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices). — Unlimited vacation and flexible hours. — Comprehensive medical benefits for employees and families. — Emotional & Physical Wellness services (EAP & Prove Well-Being Reimbursement). — Snacks and beverages at certain office locations. — Daily GrubHub stipend for lunch if working in office (US Offices). Equal Opportunity Employment: Prove is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status, or other personal characteristics. Privacy & Data Protection: Prove collects and uses personal information during the job application process as detailed in their Recruitment Privacy Policy.

Задачи: — Сотрудничать с командами продаж, поддержки клиентов, продукта и инженерии, а также с клиентами для реализации их видения в области conversational commerce. — Демонстрировать продвинутые кейсы использования и управлять proof of concepts вместе с менеджерами по аккаунтам и потенциальными клиентами. — Обеспечивать поддержку клиентов и команд по внедрению для превращения proof of concepts в надежные и масштабируемые стратегии SMS и email. — Быть техническим советником на всех этапах жизненного цикла клиента, демонстрируя глубокое понимание продукта и бизнес-потребностей клиента. — Осваивать платформу Postscript, включая интеграции и возможности API, для предоставления комплексных решений. — Быть связующим звеном между командами GTM и продукта, обеспечивая документирование и приоритизацию запросов клиентов. — Помогать создавать методические материалы и процессы для команды инженерных решений. — Использовать AI-инструменты для ускорения подготовки к звонкам, демонстраций и создания технического контента. — Проводить технические discovery звонки, предлагать креативные решения, обсуждать конкурентную среду и документировать новые запросы для команды продукта. — Поддерживать и направлять клиентов и партнеров по использованию API для стандартных и кастомных интеграций. — Создавать технический контент для демонстрации реализации кейсов и новых функций. — Оказывать техническую поддержку и помощь командам по внедрению и поддержке клиентов. — Сотрудничать с партнерами по техническим интеграциям, обеспечивая качественный опыт клиентов. Требования: — Минимум 3 года опыта в технической роли, связанной с продажами или поддержкой (solutions engineer, sales engineer, support engineer и т.п.). — Знания и опыт в электронной коммерции, предпочтительно в экосистеме Shopify. — Опыт работы с крупными брендами Shopify/ecommerce. — Ориентация на клиента. — Техническая компетентность, комфорт с фронтенд-технологиями (JavaScript, CSS) и умение создавать proof of concept интеграции с использованием хорошо документированных API. — Интерес и энтузиазм к AI, опыт использования AI-инструментов в рабочем процессе. — Опыт с платформами email-маркетинга будет плюсом. — Внимательность к деталям, любознательность и стремление к экспертности. — Умение эффективно сотрудничать с командами продукта и инженерии. — Отличные коммуникативные навыки для объяснения сложных технических идей разным аудиториям. — Умение работать под давлением и уверенно выступать перед руководителями и операционными сотрудниками клиентов. — Способность разбираться в сложных, не документированных вопросах. Условия: — Полностью удаленная работа из любой точки США или Канады. — Годовая базовая зарплата от 120,000 до 140,000 USD плюс переменная часть и значительный пакет акций. — Работа в быстрорастущем стартапе с возможностью карьерного роста. — Гибкий график, оплачиваемый отпуск, оплачиваемый декретный отпуск. — Медицинская, стоматологическая и офтальмологическая страховка.

Задачи: — Построение и руководство командой инженеров машинного обучения, включая найм, коучинг и формирование чувства ответственности и влияния. — Определение технического видения и дорожной карты Safety ML в сотрудничестве с командой и партнерами из Trust & Safety, Product, Policy, Legal и Data Science. — Управление полным жизненным циклом производственных моделей безопасности: определение новых возможностей, измерение производительности и мониторинг состояния систем, принимающих миллионы решений по обеспечению безопасности ежедневно. — Управление процессами и применение технической экспертизы для повышения качества работы команды. — Сотрудничество с Trust & Safety по вопросам качества меток, золотых наборов и автоматизации ручных расследований. — Работа с другими менеджерами по инженерии для постоянного улучшения организации и поддержания философии рабочего места. Требования: — Опыт работы не менее 5 лет в качестве инженера машинного обучения, дата-сайентиста или прикладного учёного. — Опыт работы не менее 3 лет в роли инженерного менеджера с успешным управлением командой из 5 и более инженеров. — Глубокие практические знания в одной или нескольких областях: обнаружение злоупотреблений/мошенничества, классификация контента, поведенческое моделирование, графовое моделирование или классификация на основе больших языковых моделей (LLM). — Сильные коммуникативные навыки и умение эффективно работать в кросс-функциональных командах. — Способность работать в условиях неопределённости, находить решения сложных проблем и реализовывать их. — Мыслить с позиции первых принципов и совместно с другими находить прагматичные решения. — Подтверждённый опыт вывода ML-систем в продакшн в масштабах. — Страсть к коучингу и лидерству, а также готовность при необходимости активно участвовать в кодировании. — Постоянное отслеживание отраслевых трендов и внедрение новых технологий для решения технических задач. Условия: — Полная занятость. — Удалённая работа из США или офис в районе залива Сан-Франциско. — Годовой базовый оклад от $272,000 до $340,000 плюс акции и социальные гарантии. — Зарплата определяется уровнем роли, навыками, опытом и образованием. — Компенсация указана без учёта акций и дополнительных льгот.

В этой роли вы будете заниматься проектированием, созданием и поддержкой масштабируемых распределённых бэкенд-систем, обеспечивающих работу платформы и продуктов. Вы возьмёте на себя полную ответственность за бэкенд-сервисы — от архитектуры и реализации до мониторинга и обеспечения надёжности в долгосрочной перспективе. Взаимодействие с командой продукта и инженерами позволит вам влиять на продуктовые решения, а не просто выполнять готовые задания. Вы будете работать с клиентами, превращая их расплывчатые запросы в конкретные предложения и планы для команды. В задачи также входит разработка и развитие компонентов бэкенда Web3-платформы, включая интеграции с протоколами, поддержку новых блокчейн-сетей и надёжное взаимодействие со смарт-контрактами. Важным аспектом работы является поддержание высоких стандартов качества кода, производительности, безопасности и наблюдаемости. Работа происходит в динамичной стартап-среде, где необходимо балансировать между скоростью и точностью. Искусственный интеллект используется как неотъемлемая часть инженерного процесса — для проектирования, ревью, отладки и выпуска продуктов. Вы будете участвовать в технических обсуждениях, код-ревью и наставничестве внутри команды. Требования включают опыт не менее 5 лет в проектировании и создании распределённых бэкенд-систем, глубокие знания алгоритмов, структур данных и шаблонов проектирования. Необходима готовность работать в быстром темпе стартапа и желание активно влиять на развитие продукта. Важно уметь общаться с клиентами, превращая их неясные задачи в конкретные решения. Опыт ежедневного использования ИИ в инженерной деятельности обязателен, а также способность критически оценивать его влияние. Требуется высокий уровень ответственности за качество кода, надёжность систем и пользовательский опыт, а также сильное чувство владения результатами работы.

Joi Lab (joilab.ai) is an open research arm building open-source generative models, agent architectures, and training infrastructure. All code, weights, and data are public. The focus is on true AI agency with persistent memory, self-modification, and self-authored capabilities, not just ChatGPT wrappers. The role involves working with huge models up to 1 trillion+ parameters, ensuring fast and cheap production inference, and technologies like SGLang, caching, distributed inference, and post-training. The candidate will also set the technical direction for NLP and CV engineers. Требования к кандидату: — 5+ years of experience in ML engineering — Deep hands-on experience optimizing LLM inference — Proficiency with PyTorch and related libraries — Experience with distributed inference/training of large models — Strong understanding of inference optimization techniques — Proven technical leadership in guiding engineers — Backend engineering experience (Python, Go, C#) — Advanced English or Russian language skills

Компания DXC Luxoft, входящая в состав DXC Technology и предоставляющая IT-услуги и консультации на международном уровне, ищет старшего инженера по ручному тестированию (Senior Manual QA Engineer). В рамках работы предстоит использовать технологии и инструменты, такие как Linux, Bash, Python, Jenkins, TeamCity и Octopus. Вакансия расположена в Польше.

Задачи и требования: — 5+ лет опыта работы с TypeScript/Node.js в продакшене. — Опыт работы с NestJS не менее 2 лет, включая модули, guards, interceptors, микросервисные транспорты. — Глубокие знания PostgreSQL: проектирование схем, индексация, EXPLAIN ANALYZE, миграции без простоя, паттерн database-per-service. — Опыт работы с реальными микросервисами: RPC, pub/sub, брокеры сообщений, идемпотентность, eventual consistency, saga/outbox. — Опыт работы с production blockchain (обязательно): HD кошельки (BIP32/BIP39), смарт-контракты, ABI, мультичейн, on-chain транзакции с реальными средствами пользователей. — Использование ethers.js, viem, @solana/web3.js. — Опыт работы с AI-driven workflow (обязательно): ежедневное использование Claude, Copilot или Cursor. — Создание автоматизаций или инструментов на базе LLM, а не просто использование ChatGPT для сниппетов. — Владение английским на уровне Upper-Intermediate. — Свободное владение русским языком. Плюсом будет: — Знание NATS JetStream (streams, consumers, delivery policies). — Опыт с observability stack: OpenTelemetry, Prometheus + Grafana, pino, распределённый трейсинг. — Опыт работы с Kubernetes, Helm, Kustomize. — Знание финтех-домена: PCI DSS, KYC/AML, платёжные системы. — Опыт наставничества инженеров среднего уровня. — Базовые знания React для бэк-офисных UI. Компания Utorg — финтех-компания, предлагающая современную инфраструктуру on/off-ramp и web3 для обеспечения первоклассного пользовательского опыта.

Location: Australia, Adelaide Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Service Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability. Requirements Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software distribution (Package management and distribution at scale) Configuration management (ansible, saltstack, puppet, chef) Software performance analysis and load testing (QA or SDET experience: a plus) Responsibilities Taking a leadership role in ongoing improvements in Reliability and Scalability Work closely with SRE Management to define KPIs, processes and drive continuous improvement Influence the architecture and implementation of solutions within the division Mentor more junior SRE staff and enable them for success Act as a voice to represent SRE in the wider organisation Represent the operational scalability of solutions in the wider division Lead small-scale projects from inception to implementation Design platform-wide solutions and provide technical leadership during their implementation Demonstrate a high-level of organizational skills and initiative in the role Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.