Вакансии

-Анализ двоичного и/или исходного кода с целью поиска ошибок реализации, уязвимостей и/или восстановления логики работы программ. -Анализ защищенности и поиск уязвимостей в устройствах и компонентах.

What you'll do Establish and maintain a deep understanding of the overall Semrush technology portfolio and the competitive landscape. Be a thought leader to the sales team and a technical lead on strategic client relationships across various industry verticals.

Execution Planning and Detailed Design of the turnaround scope for the Injection Failure Mitigation Project (IFMP) by NCOC. The project will be carried out offshore at Kashagan.

В обязанности входит проектирование и развитие телефонной платформы, а также создание архитектуры телефонии для различных задач. Необходимо развертывать и обеспечивать поддержку Asterisk/Asterisk в рабочей среде. Кандидат должен иметь опыт работы с Asterisk, включая конфигурацию, dialplan и ARI, а также более пяти лет коммерческого опыта в телекоммуникациях или разработке VoIP.

-самостоятельно анализировать требования и планировать тестирование нового функционала. -выявлять потенциальные проблемы и риски ещё до начала разработки.

-Организация пайплайнов потоков данных (конвейера движения данных в компании). -Разработка, поддержка и оптимизация производительности Корпоративного Хранилища Данных (EDWH).

Frontend Product Engineer role focused on product interface development using React/TypeScript, with a strong emphasis on AI-native development, UX design, and full-cycle feature ownership. Стек: React, TypeScript, REST API, UI/UX Design, Figma, shadcn/ui, Ant Design, Radix UI.

to join our Research team, developing and improving the systems behind large-scale distributed training, data processing, and inference. Raise the team's experimental velocity — make it faster to launch an experiment job, get a number back you can trust, and know what to try next.

You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning. Most of what a sales ops team used to do by hand is now something you can write software to do.

As an Abuse Research Engineer in the Abuse Research Group, you will play a critical role in safeguarding Stripe’s financial ecosystem by proactively hunting for advanced threats, dissecting complex fraud vectors, and extracting actionable adversary intelligence.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE You’ll own AI-assisted coding within Sentry’s Platform Engineering organization, building the systems and workflows AI coding agents need to contribute reliably to our codebase. Your work will span engineering teams, with Developer Infrastructure as your home base. Your first focus will be making internal developer systems accessible to agents. Many workflows currently depend on human interaction through a UI. You’ll identify the most valuable gaps, expose those capabilities through APIs, and connect tools such as Claude Code to complete development workflows. From there, you’ll improve the quality of AI-generated pull requests and automate recurring engineering work, including dependency upgrades, minor bug fixes, and maintenance. You’ll build the context and execution environment agents need: relevant repository information, tools and permissions, state management, tests, logs, recovery mechanisms, and evaluations. You’ll partner with engineers across Sentry to understand where agents succeed, where they fail, and which changes improve the development process. This role combines technical direction with hands-on implementation, from choosing the problems to solve through building, measuring, and improving the solutions. This role is based in San Francisco, with three days per week in the office to work closely with Platform teams and engineering leadership. WHAT YOU’LL DO - Set priorities for AI-assisted development at Sentry, using engineer feedback and workflow data to identify where agents would provide the most value. - Make internal developer systems accessible through APIs and build integrations enabling agents to complete workflows across those systems. - Build context systems and agent execution tooling, including tool access, permissions, checkpoints, retries, and logging. - Develop automated checks, evaluations, and feedback loops to improve the correctness, maintainability, and review readiness of AI-generated pull requests. - Automate recurring work such as security dependency upgrades, minor bug fixes, and routine maintenance. - Improve supporting developer workflows, including issue triage and CI/CD, where they limit agent effectiveness or create repetitive work for engineers. - Lead changes across engineering teams, build agreement on priorities, and measure whether the tools reduce manual work and improve delivery. HOW YOU WORK - You’ve used AI coding agents on real development work and have informed views on their strengths, limitations, and failure modes. - You bring structure to ambiguous problems, choose a practical starting point, and follow through on delivery. - You move comfortably between infrastructure, backend systems, and developer tooling. - You know when to build, integrate an existing tool, involve another team, or stop work with limited value. - You combine data with direct feedback from engineers to assess whether a solution improves their work. - You explain technical tradeoffs clearly and build alignment across teams and senior leadership. QUALIFICATIONS - 10+ years of software engineering experience, including hands-on ownership of production systems. - Experience building developer tools, infrastructure, or automation used by engineering teams, such as CI/CD systems, internal APIs, code review tooling, or agent workflows. - Hands-on experience using AI coding tools and agents, with an understanding of how context, tool access, and validation affect their output. Prior machine learning experience is not required. - Strong software engineering and system design fundamentals, including experience building reliable integrations across systems. - A track record of leading cross-team technical initiatives from problem definition through implementation and adoption. - Clear written and verbal communication, including explaining technical decisions and recommendations to senior engineering leaders. NICE TO HAVE - Experience building agent harnesses, context systems, evaluations, or automated pull request workflows. - Experience with code review tooling, static analysis, or automated testing. - Experience measuring and improving developer experience or engineering productivity. - Experience with large-scale distributed systems or monolith decomposition. - Public contributions to developer tooling or AI-assisted development projects. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Обязанности: Проведение тест-дизайна и разработка тестовой документации. Комплексная проверка функционала с использованием различных подходов, уровней и типов тестирования.

The Role We're looking for a highly technical, detail-oriented QA Engineer to lead quality across our government products, billing product, and the products we sell to childcare providers. You'll bring the technical depth to understand complex systems and the attention to detail to catch problems before our customers do.

About the role You are an architect for quality with the vision to define and build QA processes for any sort of app. You can work at any company in the world, but you choose us because you want to use your versatility and "nose for bugs" to solve new and interesting challenges.

Задачи: — Создавать end-to-end UI автоматизацию тестов для веб-приложения Occibo — Писать тест-планы, тест-кейсы и регрессионные наборы для основных пользовательских сценариев — Переводить требования продукта в автоматические проверки, включая крайние случаи — Сотрудничать с командой разработки по стратегиям тестовых данных и стабильным селекторам — Запускать тесты в CI, отслеживать ошибки и поддерживать надежность тестового набора — Использовать AI-инструменты для ускорения создания, анализа и поддержки тестов Требования: — Обучение в области компьютерных наук, программной инженерии или смежной области — Опыт работы с хотя бы одним фреймворком автоматизации тестирования (предпочтительно Playwright или Cypress) — Уверенное владение JavaScript или TypeScript и Git — Понимание CI-пайплайнов и надежного дизайна тестов — Интерес к AI и опыт использования AI-инструментов — Свободное владение английским языком Желательно: — Опыт автоматизации UI в SaaS — Опыт API тестирования (Postman или REST клиенты) — Проживание в Берлине и возможность иногда работать в офисе Условия: — Обязательная стажировка в рамках учебной программы — Стажировка без оплаты — Работа в небольшой удаленной команде — Возможность получить практический опыт с реальным продуктом — Прямое взаимодействие с основателем и командой разработки — Портфолио выполненных QA проектов Как подать заявку: — Отправить сообщение с резюме, кратким сопроводительным письмом (предпочтительно), ссылкой на лучший проект, известным тестовым фреймворком, доступностью и датой начала — Ожидается старт в октябре 2026 года

We are looking for a hands-on AI QA Technical Lead to drive the technical evolution of our QA organization through AI. Your mission will be to identify opportunities across the QA lifecycle and turn them into practical, scalable AI-powered capabilities that help the entire QA team work faster, smarter and with higher quality.

Apply Job description Ищем AI/LLM Engineer, который будет проектировать и развивать production-системы на базе LLM. Ищем инженера, который умеет собрать LLM-систему целиком: от prompt/context logic и агентных сценариев до backend-сервисов, интеграций, тестирования и запуска в production.