Вакансии

SEO на опережение: Сбор семантики под боли CISO/CTO, создание базы контента (White Papers, статьи с помощью AI) и захват органики в нише до официального лонча. Дистрибуция контента: Прокачка авторитета бренда на ИТ/ИБ-площадках (HackerNoon, Reddit, Medium, GitHub).

Location: Алматы Задачи Развитие и поддержка лучших IT-продуктов Казахстана; Создание нового и оптимизация работы имеющегося функционала; Повышение надежности и качества системы на всех уровнях; Работа над нашими новыми проектами. Требования Отличное знание PHP; Умение работать с инфраструктурой: Linux, Docker, Nginx; Знание баз данных: MySQL, MongoDB, Redis; Умение работать с Git и системами сборки и деплоя (GitHub Actions или другие CI/CD); Способность оценивать сроки выполнения задач и соблюдать их, вовремя сигнализировать о проблемах; Написание и поддержка тестов; Навыки мониторинга, логирования, сбора и анализа метрик для предотвращения и решения проблем; Огромное желание расти и развиваться профессионально. Будет плюсом Знание других языков программирования и баз данных; Понимание микросервисной архитектуры и подходов к межсервисному взаимодействию; Опыт работы с Kubernetes; Знание языка Go или желание его выучить.

Workplace: hybrid Обязанности Взаимодействие с бизнесом Погружаться в бизнес-контекст, взаимодействовать с ключевыми стейкхолдерами и пользователями Генерировать образ результата совместно с Владельцами продуктов для нахождения оптимального способа его достижения Переводить нечёткие бизнес-запросы в архитектурные решения и реализуемые планы Инженерная работа Проектировать и разрабатывать клиент-серверные приложения на Python (FastAPI, Django) Строить автоматизации бизнес-процессов: интеграции между системами, ETL-пайплайны, боты, внутренние инструменты Планировать архитектуру решений совместно с внутренними экспертами, принимать обоснованные технические решения Писать автоматизированные тесты (Playwright, Pytest), обеспечивать качество и надёжность решений Выстраивать CI/CD-пайплайны, настраивать агентские системы для code review и автоматизированного контроля качества Деплоить и поддерживать свои решения в продакшене AI-augmented разработка Использовать AI-кодинг ассистенты (Claude Code, Cursor, Codex) как основные инструменты ежедневной работы Работать с MCP-серверами, CLI-агентами и другими инструментами AI-augmented workflow Оценивать и внедрять новые инструменты автоматизации разработки и тестирования Формировать инженерные практики работы с AI для всей команды Условия работы гибридный формат работы в Москве (приезжать в офис нужно по потребности, это может быть раз в неделю или раз в месяц, на встречи с руководителем и командой) официальное оформление с белой ЗП, оклад fix + полугодовой бонус (по результатам работы) возможность профессионального и карьерного роста (обратная связь регулярная, индивидуальные планы развития, 2 раза в год оценка персонала) яркую корпоративную жизнь с большим количеством мероприятий, конкурсов и возможностей для творческой реализации: X5 Tech Bar, регулярные внутренние митапы, демо-дни, открытые микрофоны, обмен опытом через внутренние комьюнити, день IT-специалиста, программы корпоративного волонтерства, корпоративное предпринимательство X5 Idea Challenge широкий пакет ДМС (включая выезд за рубеж и стоматологию), страхование жизни и здоровья, забота о благополучии сотрудников программа привилегий Prime-zone (скидки на товары и услуги и специальные предложения от компаний-партнёров) материальную помощь сотрудникам, попавшим в сложную жизненную ситуацию Профессиональные навыки Инженерный фундамент 5+ года опыта разработки на Python, знание современных фреймворков и технологий Опыт проектирования и разработки REST API и клиент-серверных приложений Работа с реляционными БД (PostgreSQL), брокерами сообщений и очередями (Redis, RabbitMQ, Kafka) Понимание принципов проектирования: когда монолит, когда сервисы, когда скрипт Опыт работы с Docker, понимание CI/CD Привычка писать юнит-тесты, автоматизация процесса тестирования через агентов AI-инструментарий Практический опыт работы с AI-кодинг ассистентами: Claude Code, Cursor, Codex — не просто «пробовал», а ежедневно используете в работе Понимание, как эффективно формулировать задачи для AI-агентов, валидировать результат, итерировать Опыт или готовность работать с MCP-серверами (Playwright MCP, DB MCP) Понимание, что такое промпт-инжиниринг в контексте разработки, а не генерации текстов LLM-кой (Если гоняли GitHub Spec-Kit, GSD, Ralph Loop или Superpowers - будет плюсом) Опыт автоматизированного тестирования с Playwright или аналогами Экспериментировать с MCP-серверами, CLI-инструментами, skills.md и другими подходами к AI-augmented разработке Архитектурное мышление Способность принимать технические решения, учитывая бизнес-контекст, сроки и ограничения Опыт проектирования решений, которые пойдут в продакшен, а не останутся прототипами Способность трансформировать legacy-архитектуру в сторону более современных решений, используя AI инструменты

Workplace: hybrid Обязанности Организовать и провести реорганизацию процессов разработки, тестирования и эксплуатации с целью повышения скорости вывода новых продуктов и функций на рынок (сокращение Time‑to‑Market не менее чем на 30% в течение первого года); Обеспечить непрерывную стабильность и отказоустойчивость всех ИТ‑сервисов и критических бизнес‑приложений, внедрив практики SRE (Service Level Objectives, Error Budgets, автоматическое восстановление); Разработать и внедрить систему управления стоимостью владения (TCO) для всех решений — включая инфраструктуру и эксплуатационные расходы. Добиться снижения совокупных затрат без потери производительности; Выстроить партнёрские отношения с бизнес‑подразделениями: участвовать в формировании продуктового бэклога, приоритизировать задачи исходя из их вклада в выручку и операционную эффективность; Реализовать утверждённую ИТ‑стратегию, переведя её из документов в конкретные дорожные карты с квартальными планами и измеримыми показателями; Внедрить современные практики CI/CD, контейнеризации, инфраструктуры как код (IaC) и автоматизированного мониторинга, обеспечив возможность частых (ежедневных/еженедельных) релизов с сохранением качества; Управлять командой численностью от 20 инженеров (разработка, QA, DevOps, администрирование), проводить ротацию, обучение и переквалификацию сотрудников в соответствии с новыми задачами; Разработать систему метрик (DORA, утилизация ресурсов, MTTR, частота релизов) и регулярно отчитываться перед топ‑менеджментом о прогрессе. Условия работы Официальное оформление с белой ЗП, полугодовые премии по результатам работы; Удобный офис м. «Добрынинская» БЦ «Оазис»; Гибкий график работы (с 8/9/10 утра) / График работы: 5/2, с 9:00 до 18:15 (в пятницу — до 17:00); Возможность работать удалённо или в гибридном формате. Профессиональные навыки Опыт руководства технической командой размером 20+ человек (включая распределённые или смешанные группы) не менее 5 лет; Подтверждённые кейсы успешной трансформации процессов разработки и эксплуатации, сопровождавшиеся измеримым ускорением доставки и ростом бизнес‑показателей; Практический опыт оптимизации стоимости владения ИТ‑решений (облака, on‑premise, внешние сервисы) с документально зафиксированной экономией; Глубокое понимание современных архитектурных подходов (микросервисы, event‑driven, API‑first) и инструментов управления релизами (Kubernetes, Terraform, GitHub Actions / GitLab CI, мониторинг на базе Prometheus/Grafana); Навык ведения переговоров и согласования бюджетов с финансовыми и продуктовыми службами — умение переводить технические задачи на язык бизнес‑рисков и прибыли; Опыт разработки и реализации ИТ‑стратегии в компаниях с высокими требованиями к надёжности (финтех, ритейл, маркетплейсы будет преимуществом).

Workplace: Удаленно Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. В связи с ростом команды, мы ищем Go-разработчика в отдел сервисов платформенной занятости (Отдел разработки сервиса WBJob-Admin). Стань частью команды! Обязанности Писать и поддерживать микросервисы на языке Go: реализовывать бизнес-логику, обеспечивать стабильную работу сервисов в продакшне и оперативно вносить доработки по требованиям; Проектировать схемы данных и взаимодействовать с реляционными и NoSQL СУБД: писать сложные SQL-запросы для выборки, агрегации и модификации информации, оптимизировать производительность запросов; Покрывать разработанный код юнит- и интеграционными тестами: создавать тестовые сценарии, настраивать моки, обеспечивать высокий процент покрытия и гарантировать отсутствие регрессий при изменениях; Участвовать в принятии архитектурных решений и проектировать взаимодействие сервисов: определять протоколы общения (REST/gRPC/очереди), выбирать паттерны интеграции и фиксировать технические решения в документации; Проводить код-ревью и внедрять инженерные практики: проверять код коллег на соответствие стандартам, давать конструктивные рекомендации; Формировать и согласовывать промежуточные и итоговые отчеты о проделанной работе и представлять промежуточные и итоговые отчеты непосредственному руководителю. Требования Синтаксис и особенности Go (горутины, каналы, garbage collector, интерфейсы), стандартная библиотека, популярные фреймворки (Gin, Echo, Fiber), работа с модулями (go mod), профилирование и отладка (pprof, delve); Паттерны микросервисов (CQRS, Saga, Circuit Breaker, Retry), протоколы взаимодействия (REST, gRPC, GraphQL, WebSockets), брокеры сообщений (Kafka, RabbitMQ, NATS), принципы проектирования API и контрактов; Реляционные СУБД (PostgreSQL, MySQL): транзакции, индексы, планировщик запросов, оптимизация SQL. NoSQL (Redis, MongoDB, Elasticsearch): модели данных, кэширование, шардирование. ORM/билдеры (sqlx, GORM, squirrel); Фреймворки тестирования в Go (testing, testify, mockgen), виды тестов (unit, integration, contract), метрики покрытия, принципы TDD/BDD, инструменты статического анализа (golangci-lint, staticcheck); Git-стратегии (GitFlow, Trunk-Based), CI/CD (GitHub Actions, GitLab CI), контейнеризация (Docker), основы оркестрации (Kubernetes), мониторинг и логирование (Prometheus, Grafana, Loki, OpenTelemetry). Условия Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Senior Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. This is a company-level technical leadership role spanning Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. You will set the multi-year technical direction for the platform, align teams around clear architectural boundaries and standards, and lead major cross-functional initiatives from ambiguous opportunity through durable adoption and measurable impact. WHAT YOU’LL DO - Set and communicate a multi-year technical vision for the Builder Platform, translating company strategy into an executable portfolio across Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. - Lead the architecture and evolution of our Agent Platform, the shared foundation teams across Temporal use to deploy, run, evaluate, govern, and improve their agents and agentic workflows. - Establish and operate our AI Infrastructure, the LLM and MCP gateways every agent and workflow at Temporal runs through, with guardrails, fallback, usage and cost controls, model rollout policies, and clear SLOs. - Implement AI Governance in partnership with Security, Legal, and IT, turning policy into practical controls, approved patterns, and auditability without creating unnecessary barriers. - Architect the agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, and decide which patterns graduate into shared platform capabilities and which stay with the teams that own them. - Own the technical strategy for our Developer Infrastructure (Source Control and CI) and developer tools, including repository standards, access and ownership models, reusable workflows, and CI reliability and cost. - Partner with leaders across Engineering, Product, Sales, and G&A to identify where AI can accelerate work and improve outcomes, and prioritize those opportunities into a company-wide portfolio. - Standardize how Temporal adopts agents and agentic tooling (best practices, paved roads, and enablement), driving adoption across the organization through influence rather than mandate. - Define clear architectural and organizational boundaries across the platform (what is centralized, standardized as a paved road, federated to teams, purchased, or deliberately not built) and make the hard tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Measure the platform on outcomes (adoption, velocity, reliability, and cost), with feedback loops that quantify the productivity it unlocks and shape the portfolio. - Own our customer-zero strategy: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, drive the feedback loop with product leadership, lead our open-source reference architecture for customer platform teams, and represent the strategy with customers, partners, and the broader technical community. - Develop senior technical leaders, create alignment among engineering leads and managers, and make teams more effective without relying on direct authority. - Participate in on-call rotation while leading systemic improvements that reduce operational burden, address risks before they become company-wide problems, and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of setting technical direction and delivering major platform initiatives across multiple engineering teams. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining company-wide best practices and driving adoption across the organization. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with deep expertise in at least one relevant domain (developer infrastructure, distributed systems, AI platforms, or platform engineering) and proficiency across several others. - Experience building and operating internal platforms, developer infrastructure, or agent platforms adopted across a company. - Strong judgment in platform-boundary decisions (what to centralize, federate, standardize, buy, or deliberately avoid building) and in tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Demonstrated ability to influence engineering managers, senior individual contributors, Security, Legal, IT, Product, and business stakeholders, and to turn ambiguous company objectives into architecture, standards, roadmaps, and coordinated execution. - Experience defining outcome-oriented metrics for developer productivity or AI systems (adoption, reliability, quality, cost, and cycle time) and using them to steer a portfolio. - Clear written communication, including documentation and technical strategy that enable self-service and align teams across the company. - Experience establishing governance through paved roads rather than documentation or approval processes alone. - Evidence of making other technical leaders and teams more effective through mentorship, architectural clarity, and consensus building. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. - Experience defining or implementing AI governance, model-access infrastructure, or agent evaluation systems. - Experience managing GitHub configuration, policy, and workflows at organizational scale - Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. WHAT YOU’LL DO - Own the strategy, architecture, and operation of our Agent Platform for deploying, running, evaluating, governing, and improving agents and agentic workflows, setting direction and ensuring reliability and scalability. - Architect the AI Infrastructure that agents depend on: LLM and MCP gateways with guardrails, fallback, usage and cost controls, and model rollout policies. - Design, build, and operate agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, scaling them across teams and use cases. - Lead the development and evolution of our Developer Infrastructure (Source Control and CI) and the developer tools that improve builder flow and reduce friction across the company. - Partner closely with stakeholders across Engineering, Product, Sales, and G&A to identify high-impact opportunities where AI can accelerate work and improve outcomes. - Define best practices for agents and agentic tooling, build the enablement materials and paved roads behind them, and proactively drive adoption across the organization. - Establish and drive measurement and feedback loops (usage, reliability, and cost) to quantify the productivity the platform unlocks, inform prioritization, and shape the roadmap. - Lead our work as customer zero: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, own the feedback loop with product leadership, and drive our contribution to an open-source reference architecture that customer platform teams can adopt. - Mentor and support engineers on the team, raising the bar on technical design, execution, and use of agents and agentic tooling. - Participate in on-call rotation, while identifying and driving improvements that reduce operational burden and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of leading the design, delivery, and operation of production-quality internal platforms or developer tooling. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining best practices and driving adoption across teams. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with the ability to make pragmatic, high-leverage technical decisions. - Experience architecting and scaling workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar) used across teams or the organization. - Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability, security, or long-term maintainability. - Comfort leading cross-functional collaboration, including partnering with non-traditional developers and translating ambiguous needs into scalable, well-adopted solutions. - Ability to use data and qualitative feedback together to define success metrics, prioritize effectively, and measure impact. - Clear written communication, including documentation that enables self-service and scales knowledge across teams. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Senior Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and an open-source frameworks our customers can adopt. WHAT YOU’LL DO - Develop and operate our Agent Platform for deploying, running, evaluating, governing, and improving agents and agentic workflows. - Establish and operate the AI Infrastructure that agents depend on: LLM and MCP gateways with guardrails, fallback, usage and cost controls, and model rollout policies. - Build and operate agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, with humans governing the boundaries. - Own our Developer Infrastructure (Source Control and CI) and build the developer tools that improve builder flow and reduce friction across the company. - Partner with teams across Engineering, Product, Sales, and G&A to understand where AI could accelerate their work or improve the quality of outcomes. - Drive adoption of agents and agentic tooling across the company, and own the best practices and enablement materials that help builders succeed using the paved roads. - Build measurement and feedback loops (usage, reliability, and cost) to quantify the productivity the platform unlocks and guide the roadmap. - Treat Temporal as customer zero: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, and contribute to an open-source reference architecture that customer platform teams can adopt. - Participate in on-call to support internal users. WHAT YOU’LL BRING - Strong software engineering fundamentals and experience shipping and operating production-quality internal platforms or developer tooling. - Experience leveraging modern agentic coding tools such as Codex and Claude Code. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java. - Experience building workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar). - Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability. - Comfort working cross-functionally, including partnering with non-traditional developers and translating needs into usable solutions. - Ability to use data and qualitative feedback together to prioritize and measure impact. - Clear written communication, including documentation that enables self-service. NICE TO HAVES - Experience building internal agents and operating an agent platform - Experience building and operating Temporal applications. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, we're building a vibrant community where designers and product builders come together to learn, grow, and connect around their shared passion. Our Advocacy team is central to this mission—empowering our users through engaging content, meaningful interactions, and genuine advocacy. We're looking for a Developer Advocate focused on Payload to partner closely with our Marketing, Sales, and Product teams. You'll bring deep design expertise, strong product intuition, and a genuine love for the design and developer community into our go-to-market strategies. You'll also champion our users' voices internally, ensuring their perspectives shape our product evolution. This is a full-time role that can be held from our New York City or San Francisco hub, or remotely in the United States. What you’ll do at Figma: Advocate for Payload : Promote Payload and the Payload + Figma integrations to developers inside and outside Figma. Empower Payload connections : Collaborate closely with Sales and Customer Experience teams to help customers unlock the full potential of Payload across real product workflows. Engage with the Payload community: Triage GitHub issues and community PRs, including labeling, reproducing and routing them, and working with engineering on review and prioritization. Create compelling content : Create technical content for Payload + Figma products: tutorials, demos, videos, starter templates and livestreams. Inspire community connections : Foster meaningful relationships within the Payload community, identify collaboration opportunities, and nurture user-driven initiatives. Speak and engage at events and in co-marketing : Regularly present at industry meetups, conferences, and community events, sharing practical insights from real-world design work. Champion user voices : Stay attuned to community feedback, sentiment, and emerging design trends—advocating internally to inform product decisions and improvements. We'd love to hear from you if you have: Have deep, hands-on expertise with Payload and experience integrating it within real product teams. Are comfortable operating in evolving workflows, including CMS, DAM, design systems, and AI-assisted design or prototyping. Are passionate about engaging with and contributing to the design or developer community. While it’s not required, it’s an added plus if you also have: An entrepreneurial mindset, with the enthusiasm and ability to transform early-stage ideas into polished, impactful outcomes The flexibility and willingness to travel up to 25% of the time to engage with the Payload community in person At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $115,000 — $269,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Bengaluru, India We are looking for a Senior Performance Engineer with solid experience across performance testing and strong JMeter scripting skills. You will define performance requirements with product owners and developers, validate environment readiness, run load, stress, spike, and soak tests, find root causes through full-stack observability, and give engineering teams and leadership evidence for release decisions. You will also own the performance framework and its CI/CD pipelines, build dashboards in CloudWatch and Grafana, run chaos and fault-injection tests on AWS and Azure, and test front-end performance alongside server-side performance. This position is intended for Hyderabad-based candidates who are available to work from the office. The client operates a scaled Quality Engineering function across a broad technology landscape running primarily on AWS, with Azure as the secondary cloud. Most applications run on containers. Performance engineering covers load, stress, spike, and soak testing, full-stack observability, root cause analysis, and chaos and resiliency testing for distributed systems. Performance engineers own performance testing delivery across multiple applications, from requirements and environment readiness through execution, root cause analysis, and release-readiness reporting. Own performance testing delivery across multiple applications, from requirements through execution, analysis, and reporting. Define performance requirements with product owners and developers, and validate environment readiness before each test cycle. Build and maintain JMeter scripts, workload models, and test data in GitHub. Own the performance test framework and its CI/CD pipelines on GitHub Actions or an equivalent tool, with defined thresholds. Run load, stress, spike, and soak tests, including autoscaling, caching, load balancing, and failover on containerized workloads. Test front-end performance alongside server-side performance. Build dashboards in CloudWatch and Grafana covering RUM, APM, infrastructure, logs, and traces, using Prometheus or OpenTelemetry data. Correlate New Relic and Google Analytics data with test runs, and validate golden signals, SLIs, and SLOs. Use observability data to pinpoint bottlenecks across application, API, database, network, and container layers. Recommend tuning and scaling changes and validate them with repeat tests. Run chaos and fault-injection tests on AWS and Azure using native tooling. Contribute reusable scripts, dashboards, and runbooks that explain each application's resiliency setup. Track performance defects to closure in Jira, coordinating with developers and product teams on priority and impact. Deliver test summary reports in Confluence with release-readiness evidence for engineering teams and leadership. Use AWS (primary) and Azure for deployment, secrets, database services, and performance test infrastructure. Senior-level performance engineering experience across multiple applications. Strong JMeter scripting and workload modelling experience, with scripts and test data maintained in GitHub. Hands-on experience with load, stress, spike, and soak testing. Experience with CI/CD integration of performance tests using GitHub Actions or equivalent tools. Experience validating autoscaling, caching, load balancing, and failover on containerized workloads. Experience with an APM or observability platform such as CloudWatch, Grafana, New Relic, or similar. Experience validating golden signals, SLIs, and SLOs. Strong root cause analysis and tuning skills across application, API, database, network, and container layers. Experience with front-end performance testing alongside server-side testing. Experience with chaos and fault-injection testing. Working knowledge of AWS and Azure. Working knowledge of Docker and Kubernetes. Working knowledge of distributed systems and resiliency patterns. Experience with defect tracking and reporting in Jira and Confluence. Ability to present findings to engineering and business stakeholders. Experience working in Agile teams. Experience working in DevOps environments. Ability to communicate clearly with developers, product, and delivery teams. Hands-on use of AI coding assistants (GitHub Copilot, Claude Code, Cursor, Codex, or equivalent) to write and generate load test scripts. Familiarity with GenAI, LLMs, and agentic workflows for maintaining performance scripts. Familiarity with RAG and MCP concepts for QE tooling and for generating test data for load scenarios. Experience with service virtualization using WireMock or an equivalent tool, so performance suites can run when a dependency is unavailable. Experience with Tableau or an equivalent reporting tool. Experience with Azure Monitor.

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a QA Engineer to join a team supporting an AI platform/product team. This role requires a more technical profile than a traditional QA position, with a strong focus on backend systems, API testing, and close collaboration with engineering teams. The ideal candidate has solid quality assurance experience, strong technical capabilities, and preferably a background in software development or SDET practices. This individual will help ensure the quality, reliability, and performance of AI platform services within a rapidly evolving AI environment. Beyond technical expertise, this person is an effective communicator who works well with developers and cross-functional teams, asks for support when needed, adapts quickly to change, and takes initiative to solve problems and improve processes. They thrive in collaborative environments and are motivated to contribute to the success of innovative AI-powered products. Design, develop, and maintain automated test suites using TypeScript and Playwright Create and execute functional, regression, smoke, and end-to-end tests Collaborate with developers and product teams to define test scenarios and acceptance criteria Identify, document, and track defects with clear reproduction steps Maintain and improve test frameworks, test data, and automation best practices Contribute to CI/CD integration for automated test execution Support release validation and quality assurance activities Review application changes and assess test impact Work closely with the team to improve test coverage, reliability, and execution efficiency Strong hands-on experience in QA Automation with TypeScript and Playwright. Experience designing and maintaining automated end-to-end and regression test suites. Solid understanding of software testing principles, QA processes, and defect management. Experience working with web applications, APIs, and modern frontend technologies. Ability to collaborate with developers, product owners, and other team members in an Agile environment. Experience with test framework maintenance, test data management, and CI/CD integration. Strong analytical and problem-solving skills with attention to detail. Good communication skills and ability to document test results and issues clearly. Experience with API testing tools or frameworks Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI Familiarity with performance or accessibility testing Experience in data, analytics, or BI-related products Experience with test reporting tools and quality dashboards

Развитие и масштабирование ядра продукта: Проектировать и разрабатывать отказоустойчивую бизнес-логику платежного сервиса трансграничных переводов (Россия — Узбекистан).

Location: Ghent, Belgium D-ploy is an IT and Engineering Solutions company delivering services to organizations across the EMEA region and the United States. We work closely with our clients to provide reliable, secure and practical technology solutions, supported by collaborative teams and a people-focused working environment. We are looking for an experienced Cloud Engineer to join a cloud platform environment supporting a global organization in the pharmaceutical sector. In this role, you will help build, automate and operate cloud infrastructure and shared platform services used by different business and technology teams. You will work primarily within Microsoft Azure , with a strong focus on Infrastructure as Code, Terraform, Kubernetes and DevOps automation . You will collaborate with cloud architects, application and data teams, platform specialists and external partners to deliver cloud solutions that are secure, scalable and aligned with governance and compliance requirements. Your responsibilities will include: Designing, deploying and maintaining Azure infrastructure using Terraform and Infrastructure as Code principles. Supporting a broad range of Azure services across compute, networking, storage, identity, security and monitoring. Creating reusable infrastructure components, automation frameworks and standard cloud deployment patterns. Supporting application and workload teams as they onboard services to the organization's cloud platforms. Operating and maintaining shared cloud platform capabilities and ensuring they remain stable, available and performant. Supporting and troubleshooting containerized workloads running on Azure Kubernetes Service (AKS) . Contributing to platform upgrades, lifecycle activities and ongoing technical improvements. Managing GitHub repositories and supporting branching, pull-request and source-control practices. Building and maintaining CI/CD pipelines used for infrastructure and platform deployments. Identifying opportunities to automate manual processes and improve consistency across the cloud environment. Applying cloud security standards and supporting governance requirements around monitoring, tagging, cost management and compliance. Supporting audit and compliance-related activities within a regulated environment. Working closely with architects, application teams, data teams and external partners on cloud solution design and implementation. Creating and maintaining technical documentation and operational procedures. Sharing knowledge and contributing to engineering standards and best practices across the cloud platform team. Requirements At least 3 years of professional experience in Cloud Engineering, Platform Engineering, DevOps Engineering or a similar role. Strong hands-on experience working with Microsoft Azure in enterprise environments. Solid knowledge of Terraform and Infrastructure as Code practices. Practical experience with Kubernetes , ideally Azure Kubernetes Service (AKS) . Experience designing, deploying and supporting cloud infrastructure in complex organizational environments. Good understanding of cloud-native architectures and modern platform engineering approaches. Strong knowledge of Azure networking concepts such as Virtual Networks, Private Endpoints, DNS, load balancing, Network Security Groups and firewalls . Familiarity with cloud security, identity and monitoring solutions. Experience working with GitHub, source control and CI/CD processes . Previous experience supporting Kubernetes-based platforms and containerized applications. Strong analytical and troubleshooting skills with a practical approach to problem solving. An automation-focused mindset and the ability to identify opportunities to improve operational efficiency. Strong communication and documentation skills. Ability to work effectively with multiple technical teams and stakeholders. Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology or a related field, or equivalent professional experience. Valid criminal record extract, not older than three months, required. Nice to have: Experience with AWS in addition to Azure. Previous experience in pharmaceutical, biotechnology, healthcare or another regulated industry. Experience working within a platform engineering or internal cloud services team. Exposure to different workload types, including application, integration, data or AI platforms. Relevant technical certifications such as Microsoft Azure Administrator (AZ-104), Azure Solutions Architect (AZ-305), Terraform Associate or Certified Kubernetes Administrator (CKA) . Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Canada What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things to Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Remote; Ireland; Europe; United States; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE The Payments team owns how ElevenLabs charges customers: billing, usage tracking, pricing and payments across self-serve and enterprise. Everything we do has to be correct, because it underpins the company's revenue and is immediately visible to every customer and team. We are hiring full stack engineers (backend leaning) to expand and evolve our payments systems. Your responsibilities might include: - Building and maintaining usage tracking so that requests are metered accurately without impacting latency. - Leading our migration of enterprise pricing and usage processing, including new stream-processing services for usage events. - Making it easy for customers to upgrade and pay, including paying through different entities and supporting new payment providers. - Working with Finance and Tax teams to meet compliance, audit and reporting requirements. - Enabling pricing and Growth experiments with Growth and product teams. - Debugging complex customer billing scenarios: piecing together what happened from the customer's experience, logs and code, and fixing the cause. - Collaborating with Sales, FDEs, Finance and engineers across the company. Much of this work extends or replaces systems that already exist, so you will scope carefully, plan migrations, and roll changes out without disrupting customers. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live systems that handle money. - The ability to learn a large existing system quickly and to debug complex production issues. Bonus: - Experience with payment processing providers, or with billing and usage-based pricing systems - Experience with stream processing or high-throughput event pipelines. - Experience working with finance, tax or audit requirements. - Experience with Kubernetes. LOCATION Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Remote; Ireland; Europe; United States; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed. We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include: Workspaces & User Management (serving external customers) - Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more - Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures. - Shipping customer-facing features end to end, from backend services to the admin and settings UI. Permissions & Resources (serving ElevenLabs engineering teams) - Designing and building generic resource and permissioning services that product teams use to build features safely and quickly. - Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access. - Working across product teams to understand their needs, and driving adoption with changes that don't require every team to rework their code. In both teams you will: - Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected. - Roll out changes safely and with minimal disruption to existing users, teams or systems. - Debug and operate what you build, working from customer reports, logs and code. - Own features from scoping to completion, with the support of experienced engineers who are happy to mentor. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development, with comfort working across the stack where the work needs it. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly. - Comfort with ambiguity: working out what should be built, and prioritising among competing signals. Bonus: - Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar). - Experience with Kubernetes. - Experience building internal platforms or services used by other engineering teams. LOCATION Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Intellias Meet your recruiter Diana Meneses diana.meneses@intellias.com https://www.linkedin.com... Vacancy details Test Engineering Automation Test Engineer (Python) Senior United States Office APPLY NOW REFER A FRIEND We are looking for a QA Engineer to support validation and quality assurance activities for an IVI software platform. The engineer will work closely with development, systems, requirements, and integration teams to ensure software quality throughout the software development lifecycle. The role includes test planning and execution, requirements traceability, defect management, and verification of infotainment features across software and hardware environments. This includes hands-on testing on test benches, HIL/Labcar systems, integration rigs, and target hardware, ensuring that IVI functionality meets quality, performance, and reliability requirements while aligning with automotive development processes and standards. What project we have for you Join a team developing and validating a next-generation In-Vehicle Infotainment (IVI) platform for a leading automotive OEM. The project focuses on connected vehicle services, multimedia, navigation, and user experience features. You will support software validation across cloud, bench, Labcar, and target hardware environments, ensuring high quality, reliability, and compliance with automotive development standards. What you will do Review and analyze software requirements, user stories, and acceptance criteria. Develop and maintain test plans, test cases, and test execution reports. Execute functional, integration, regression, and end-to-end testing activities. Verify traceability between requirements, test cases, and defects. Identify, document, and track software defects through resolution. Collaborate with developers, product owners, and systems engineers to ensure product quality. Support release validation and software verification activities. Participate in Agile ceremonies and quality planning sessions. Contribute to continuous improvement of QA processes, tools, and methodologies. Support compliance with automotive software development standards and processes. What you need for this 8+ years of experience in Software Quality Assurance or Software Testing. Experience in automotive software, infotainment, HMI, connected vehicle, Android Automotive, or embedded systems projects. Strong understanding of Software Development Life Cycle (SDLC) and Agile methodologies. Hands-on experience in creating and executing test cases, test plans, and test reports. Experience with API, integration, and system-level testing. Knowledge of requirements management and traceability practices. Experience with requirements management tools such as Codebeamer or similar. Experience with cloud platforms, preferably AWS, and validation of cloud-based applications and services. Experience with test automation frameworks and scripting, such as Python, Selenium, Robot Framework, Appium, Playwright, or similar tools. Familiarity with CI/CD pipelines and tools such as GitHub Actions, or GitLab CI. Strong analytical, troubleshooting, and communication skills. Bachelor’s degree in Computer Science, Engineering, or a related field. Preferred Qualifications Experience supporting software releases in large-scale automotive programs. Knowledge of ISO 26262 and functional safety concepts. Experience working in distributed, cross-functional global teams. ISTQB certification or equivalent. Working knowledge of ASPICE and automotive software development processes. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Android Automotive Python Selenium

Разрабатывать и поддерживать backend-сервисы и REST API на C# и .NET. Развивать frontend-приложения на современных JavaScript/TypeScript-фреймворках.