-Проектирование, разработка и внедрение программного обеспечения в стеке React, Yii2, PostgreSQL. -Тестирование и отладка при разработке нового функционала, написание автотестов, поиск багов серверных приложений, исправление ошибок.
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-Проектирование, разработка и внедрение программного обеспечения в стеке React, Yii2, PostgreSQL. -Тестирование и отладка при разработке нового функционала, написание автотестов, поиск багов серверных приложений, исправление ошибок.
-Опыт работы в QA от 5 лет, включая ручное и автоматизированное тестирование, в том числе от 3 лет коммерческого опыта в QA Automation.
— Разработка и согласование бизнес-требований на стадии Разработки. — Разработка технического задания.
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Настроить подбор• От 3 лет командной коммерческой разработки на JavaScript. • Глубокое знание React, React Hooks, TypeScript и REST API.
Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code Triage cases by severity and urgency and share through the appropriate channels Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling Contribute to regular reports on agentic harm trends and enforcement outcomes Minimum qualifications Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences Have sound judgment about when a case needs escalation, and the resilience to work with difficult content Preferred qualifications Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
-Организация хранения данных. -Доработка и создание API в СУБД.
• Поддержка и развитие текущего функционала бота. • Внедрение новых фич и интеграций с внешними сервисами, включая Google Sheets.
Обязанности Проведение функционального, регрессионного и смоук-тестирования; Тестирование баланса, монетизации, игровых механик, вёрстки и игровой логики;
• Знание JavaScript, HTML, CSS. • Опыт разработки интерфейсов.
-разработка web-интерфейса приложения с использованием фреймворка Angular. -опыт frontend разработки с использованием (JavaScript) TypeScript, HTML5, CSS3 от 3х лет.
Задачи: — Разрабатывать новые функции и развивать существующие модули веб-приложений на backend- и frontend-частях (PHP и Vue.js). — Рефакторить и оптимизировать код, работать с базами данных и писать эффективные SQL-запросы. — Искать и устранять дефекты, повышать стабильность и производительность функционала. — Разрабатывать и поддерживать интеграции с внешними сервисами: эквайрингом, SMS-сервисами и другими системами. Требования: — Уверенное знание MS SQL Server: SQL-запросы, индексы, планы выполнения и оптимизация производительности БД. — Опыт разработки на JavaScript, Vue.js и TypeScript. — Практический опыт разработки и поддержки проектов на чистом PHP без фреймворков. — Умение разбираться в существующем коде, декомпозировать задачи и предлагать варианты реализации. — Опыт работы с legacy-кодом: рефакторинг, устранение технического долга, улучшение архитектуры и производительности без нарушения работы существующего функционала.
О проекте Международный проект в области AI Security, связанный с разработкой сред, которые помогают LLM-моделям проходить обучение с подкреплением для задач, связанных с кибербезопасностью. Эти среды содержат задания в различных областях кибербезопасности (пентестинг, реагирование на инциденты, эксплуатация, вредоносное ПО и т.д.), цель — создавать достаточно сложные задачи, чтобы модель допускала ошибки, но которые остаются решаемыми для профессиональных специалистов. Важно: это не классическая позиция Pentester или Red Team Engineer. Основная задача — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки именно из-за недостатков в рассуждении (reasoning), а не из-за неоднозначных инструкций или ограничений среды. Задачи: — Проектировать security-сценарии для оценки и обучения LLM-моделей — Создавать environments с использованием GitHub, Slack и других инструментов, встречающихся в реальной разработке — Разрабатывать задачи, требующие сложного многошагового reasoning — Моделировать реальные offensive security-сценарии (supply chain attacks, malicious pull requests, exploitation через GitHub Actions и другие техники) — Проверять разработанные сценарии на нескольких frontier-моделях и анализировать причины их ошибок — Формулировать ожидаемое поведение модели и описывать, почему конкретная ошибка считается reasoning failure — Автоматизировать создание и проверку задач с использованием Python и других инструментов Требования: — 5+ лет практического опыта в Offensive Security, Application Security или Web Penetration Testing — Практический опыт AI Red Teaming / LLM Security — Глубокое понимание современных техник атак и поверхности атаки веб-приложений, API, GitHub, CI/CD и связанных экосистем — Практический опыт проведения penetration testing и исследования безопасности приложений — Опыт разработки на Python и/или JavaScript — Навыки статического и динамического анализа кода (Python, JavaScript, Java) — Умение самостоятельно исследовать новые направления, проектировать сложные сценарии и объяснять результаты своей работы — Свободный английский язык (Upper-Intermediate / B2+) — Практический опыт работы с современными LLM-моделями — Понимание особенностей их работы, ограничений и типичных failure modes — Интерес к AI Security и исследованию поведения LLM — Опыт работы с Agentic AI, AI Agents или Model Evaluation Будет большим плюсом: — Опыт исследований безопасности GitHub Actions, CI/CD, Supply Chain Security — Сертификаты OSWE, eWPTXv2, OWEE, OSWA или аналогичные — Публикации, write-ups, участие в Bug Bounty, HackTheBox, TryHackMe, Pwn2Own или других исследовательских проектах — Способность придумывать новые, не похожие на существующие сценарии атак, которые сломают сильную модель, исследовательское мышление и креативность Условия: — B2B-контракт (с ИП) — Оплата в долларах США — Part-time/Full-time: почасовая оплата за выполненные задачи, 1 задача занимает около 10-12 часов — Локация — строго вне РФ/РБ
-Проектирование, подбор параметров и создание эффективных промптов для решения конкретных бизнес-задач. -Высшее техническое образование.
– техническое образование;
Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Web Integrations Support Engineer is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. You will be responsible for ongoing maintenance of customer integrations based on Smartling’s GDN (web proxy) solution to ensure that the integration continues to meet customer needs as their sites change over time. We are looking for a professional with a track record of successfully supporting enterprise-grade technical solutions, who can communicate complex concepts and ideas effectively, and who takes a systematic troubleshooting approach when dealing with live customer issues. We are currently considering candidates based in the Pacific and Mountain time zones. You Will Own customer tickets end to end, with clear written root-cause explanations and next steps Run troubleshooting sessions and workshops with customer engineering teams, advising them on integration best practices Escalate to and collaborate with Engineering with clear reproduction steps when an issue needs a product fix Build scripts and tooling, to make diagnosis and configuration faster and safer Work with technical and business stakeholders to understand requirements and recommend sustainable solutions Make changes to live production configuration with care: testing safely, planning for rollback, and telling customers what changed and why Act with precision and urgency when customers are affected, and manage changing scope and ambiguity without losing momentum Keep learning about new web technologies and contribute to process and tooling improvements You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 2+ years in a customer-facing technical role such as Support Engineer, Solutions or Technical Consultant, or similar, focused on technical troubleshooting, solution design or implementation 2+ years of hands-on experience with HTTP, HTML, CSS (including writing robust selectors), JavaScript and REST APIs Strong skills with browser DevTools and network debugging, and an understanding of how pages are built and rendered in the browser Working knowledge of proxies, CDNs, web servers, DNS/TLS and caching, plus web security basics (CSP, CORS, cookies, WAFs) Comfort with regular expressions, plus the ability to write scripts (JavaScript, Python or Bash) Experience diagnosing issues from logs and request traces (Quickwit, Grafana, Kibana, Splunk or similar) A methodical, hypothesis-driven approach to complex problems Excellent written and spoken communication, with the ability to advise and persuade both technical and non-technical audiences The ability to drive outcomes despite complexity, ambiguity or shifting priorities Preferred but not required Experience with modern front-end frameworks (React, Next.js, Vue) and client-side rendering Familiarity with CMS platforms (e.g., AEM, Sitecore, WordPress, Contentful) Hands-on experience with Nginx or similar proxy and web server configuration Knowledge of SEO fundamentals (hreflang, canonical tags, sitemaps) Experience with translation, localization and internationalization, including awareness of RTL and CJK languages, character encoding and locale formatting, and/or fluency in multiple languages Software development experience You Will Enjoy Freedom 🏡 - we are remote-first Growth - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $90,000 - $110,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.
Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Solution Architect/Technical Implementation Manager is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. As a Solution Architect, you are the hands-on advisor, technical expert, and problem solver. You will be leading various technical integrations and implementations, solving the most challenging problems in the content localization space, and designing sustainable solutions to support our customers’ growing localization needs. The Solution Architect is an Engineering-adjacent role. Accordingly, a strong technical background is required for this role. We are looking for a professional who has a track record of successfully designing and implementing enterprise-grade technical solutions, who communicates complex concepts and ideas effectively, and who demonstrates creativity in solving challenging problems for customers. We are considering candidates based in the East and Central time zones only at this time. You Will Interact with both technical and business users to gather requirements, analyze information, and design comprehensive and scalable solutions Effectively and proactively manage process changes with business and technical stakeholders to drive implementations forward Act with precision and urgency to provide customers with best-in-class support, and lead workshops and troubleshooting sessions with customer technical teams to resolve complex issues Continuously articulate best practices to encourage optimal integration and platform adoption, laying the foundation for the long-term success of customers Stay curious about new technologies, develop new tools, and contribute to process improvement You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 3+ years of relevant experience as a Solution Architect, Technical Consultant, or in a similar customer-facing role that focuses on technical solution design and implementation Strong analytical skills when it comes to complex problems, and are not intimidated by technical challenges 2+ years of applied experience with modern web technologies (e.g. HTTP, HTML, CSS and JavaScript), and REST APIs Excellent communication skills with the capability to advise/persuade technical and non-technical stakeholders Ability to drive outcomes despite complexity, ambiguity or changing scope Familiarity with at least one programming/scripting language and able to read/write scripts A home office setup conducive for working remotely, and ability to work effectively as a remote team member* Preferred but not required Knowledge of Content Delivery Networks (CDN), web servers, and proxy technologies such as Nginx Familiarity with Content Management Systems (CMS) Software development experience Experience with file engineering and regular expressions Hands-on experience with Splunk, Kibana or similar technologies Experience with translation, localization, and internationalization processes and/or fluency in multiple languages You Will Enjoy Freedom 🏡 - we are remote-first Growth - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $100,000-$120,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction- and clutter-free) background.
Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is looking for a hands-on Member of Technical Staff, Product Security to identify and eliminate security vulnerabilities across our rapidly evolving AI products and platforms. As we build agentic systems, code-generating agents, generative AI models, and enterprise applications, you'll play a critical role in securing new features before they reach production. Working closely with Product and Engineering, you'll conduct offensive security testing, identify architectural weaknesses, and drive fixes to their root cause. You'll also turn recurring vulnerabilities into scalable security standards and automated controls. We're looking for someone with a proven track record of finding real vulnerabilities in production systems, strong technical judgment, and the ability to work directly with engineers to build more secure products. WHAT YOU'LL DO OFFENSIVE SECURITY & VULNERABILITY RESEARCH - Conduct hands-on penetration testing of new products and features, including web applications, APIs, and administrative interfaces. - Identify security risks across agentic systems, MCP servers, code-generating agents, and AI-powered applications. - Independently map attack surfaces and uncover authorization, authentication, and multi-tenant isolation vulnerabilities. - Develop proof-of-concept exploits, validate findings, and retest remediation efforts. SECURE DESIGN & APPLICATION SECURITY - Partner with Engineering early in product development to identify and prevent security flaws before release. - Conduct threat modeling, architecture reviews, and security-focused code reviews. - Analyze complex codebases to trace vulnerabilities to their root cause and recommend effective fixes. - Assess security risks across generative AI products, user-deployed applications, and enterprise features such as SSO and role-based access controls. SECURITY ENGINEERING & AUTOMATION - Translate recurring vulnerabilities into secure development standards, reusable controls, and automated security checks. - Build security tooling and integrate preventive controls into development and CI/CD workflows. - Identify systemic weaknesses and implement solutions that prevent entire classes of vulnerabilities. - Apply cloud, container, and infrastructure security knowledge to investigate vulnerabilities across the application stack. TECHNICAL OWNERSHIP & COLLABORATION - Own security findings from discovery through remediation, working directly with engineers to implement lasting fixes. - Prioritize vulnerabilities based on exploitability, business impact, and real-world risk. - Establish practical security standards that enable rapid product development without compromising security. - Help define security practices for emerging AI technologies and new product architectures. WHAT WE'RE LOOKING FOR - 5+ years of hands-on experience in product security, application security, penetration testing, or vulnerability research. - Proven track record of independently discovering and exploiting real vulnerabilities through application security work, bug bounty programs, or security research. - Deep understanding of web application and API security, including authentication, authorization, and multi-tenant isolation. - Strong ability to read and analyze modern codebases, identify root causes, and collaborate with engineers on remediation. - Experience conducting threat modeling, secure design reviews, and hands-on penetration testing. - Proficiency in scripting or programming languages such as Python, JavaScript, TypeScript, or Go. - Familiarity with cloud infrastructure, containers, and modern application architectures. - Ability to translate security findings into scalable engineering controls and automated checks. - Strong technical judgment, independent problem-solving skills, and a proactive approach to identifying security risks. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Fullstack Engineer (Ruby/Vue.js), Growth at GitLab, you'll help turn GitLab's self-serve funnel into a reliable source of new paying customers. You'll work on the in-product journey from a user's first visit through sign-up, trial, and first purchase, on both GitLab.com and self-managed GitLab. You'll collaborate closely with Product Managers, UX Designers, and Data Analysts, with a particular focus on backend development in Ruby on Rails and frontend work in Vue.js. This role gives you the opportunity to combine your fullstack engineering skills with product thinking and experimentation, shipping small changes quickly and measuring their impact on real customer outcomes. Some examples of our projects: Making it easier for self-managed users to try and buy GitLab Building upgrade prompts where users run into paid features Improving the trial experience, including trials of GitLab Duo Improving the tooling the team uses to run and read out experiments What you'll do Design, build, and iterate on A/B tests and experiments that increase first purchases on GitLab.com and self-managed GitLab. Build and improve registration, trial, onboarding, and in-product upgrade and purchase experiences to increase completion of these steps. Implement backend features and services in Ruby on Rails and frontend experiences using Vue.js. Analyze experiment results and product usage data with Data Analysts to decide which changes to keep, iterate on, or roll back based on first-purchase outcomes. Collaborate with Product Managers and UX Designers to define hypotheses and success metrics before shipping experiments, then compare results against those metrics. Maintain and improve our experimentation framework and tooling to increase experiment throughput and reduce the time from setup to results. Collaborate with other Engineering teams, including Fulfillment, to remove purchase barriers across GitLab’s codebase. Document decisions, review code, and share experiment results asynchronously so distributed teammates can track shipped changes and their measured outcomes. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Professional experience developing with Ruby on Rails and modern JavaScript, along with solid Git, feature development, and deployment workflows. Experience working with relational databases and a solid understanding of web performance optimization. A track record of shipping features to production and owning them after release. Ability to use product data to decide what to build, keep, or roll back. Ability to document decisions and share updates asynchronously with distributed Product Management, UX, and Data teammates. Ability to organize your work, seek and apply feedback, and collaborate inclusively with teammates from diverse backgrounds, in line with GitLab’s values. Preferred, not required: experience with Vue.js, PostgreSQL, A/B testing, feature flags, experimentation frameworks, or SaaS sign-up, trial, billing, or checkout flows. We'll help you learn our tooling. About the team We’re GitLab’s Growth team: one team with one roadmap, prioritizing work by how directly it helps people buy. We work fully remotely and asynchronously across multiple regions, guided by GitLab’s values of transparency and iteration. Our challenge is running more high-impact experiments, faster, while coordinating changes with teams like Fulfillment and Pricing across the parts of the product they own. For more on how we work, see the Growth and Product sections of the GitLab handbook. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .