Задачи:
— Планирование тестирования во время уточнения бэклога и планирования спринта, определение объема тестирования, подхода, критериев приемки и оценки усилий для ручного и автоматизированного тестирования.
— Проектирование, разработка и поддержка автоматизированных тестов на разных уровнях: UI, API, интеграционное, end-to-end и тестирование баз данных с использованием современных фреймворков и лучших практик.
— Выполнение ручного функционального, регрессионного и исследовательского тестирования, подготовка и поддержка надежных тестовых сред, тестовых данных, моков и feature flags.
— Постоянное улучшение автоматизации: разработка переиспользуемых компонентов, уменьшение нестабильных тестов, рефакторинг устаревшего кода, повышение покрытия и стабильности тестов.
— Интеграция автоматизированного тестирования в GitLab CI/CD, мониторинг состояния пайплайнов, расследование сбоев, сотрудничество с DevOps для быстрого обратного отклика.
— Участие в релизах: выполнение пост-деплоймент валидации, проверка критичных пользовательских сценариев с продакшн-данными, предоставление рекомендаций по готовности релиза.
— Коммуникация прогресса тестирования, метрик качества, рисков и блокеров с заинтересованными сторонами, активное взаимодействие с разработчиками, владельцами продуктов, архитекторами и дизайнерами.
— Внедрение AI в процессы обеспечения качества: генерация тестов, мониторинг, проверка качества данных, ревью кода.
— Наставничество команды по лучшим практикам качества, установление стандартов качества в SDLC, руководство тестированием сложных межкомандных инициатив.
Требования:
— Высшее образование в области компьютерных наук, программной инженерии или смежных технических областях.
— Сертификат ISTQB Foundation или аналогичный будет плюсом.
— 4–6 лет опыта в тестировании ПО, минимум 2 года в автоматизации.
— Опыт автоматизации backend-тестирования, включая API, интеграции и сервисное тестирование.
— Навыки программирования на объектно-ориентированном языке: Python, Java или Go.
— Опыт работы с инструментами и фреймворками для API-тестирования.
— Опыт создания и поддержки автоматизированных тестовых наборов для backend-систем.
— Опыт работы с CI/CD пайплайнами, предпочтительно GitLab CI/CD.
— Знание Docker и современных инженерных практик.
— Понимание баз данных и SQL.
— Опыт с инструментами автоматизации UI, такими как Playwright или Selenium, будет плюсом.
— Практический опыт использования AI-инструментов в инженерных процессах, умение демонстрировать улучшения в тестировании, разработке или продуктивности.
— Опыт работы с AI-ассистентами, такими как Claude, Codex или аналогичными, желателен.
— Опыт с системами наблюдаемости, мониторинга или автоматизации инфраструктуры будет плюсом.
Условия:
— Конкурентная зарплата и ежегодный бонус по результатам работы.
— Полная поддержка релокации для кандидата и семьи: перелеты, жилье, визы, юридическая помощь.
— Медицинская страховка топ-уровня с покрытием для всей семьи: медицинская, стоматологическая, офтальмологическая, психическое здоровье, а также страхование жизни.
— Неограниченные возможности для обучения: внешние курсы, уроки английского, развитие карьеры и лидерских навыков.
— Образовательный грант на оплату школы и детского сада.
— 21 рабочий день отпуска в году, плюс официальные праздники и полностью оплачиваемые больничные, декретные и отпуск по уходу за ребенком.
— Программа признания сотрудников: фирменные подарки, выходные на день рождения, бюджеты на празднования свадеб, рождений и важных событий.
— Командные поездки и корпоративные мероприятия.
— Программа акций компании.
— Фирменный автомобиль MINI Cooper Countryman и личная парковка.
— Бесплатные спортивные клубы, доступ в спортзал Sanctum Club и водные мотоциклы.
— Доступ к корпоративному врачу.
— Эксклюзивные скидки в кафе, спортзалах и местных сервисах.
— Налоговые льготы для экспатов: до 50% освобождения от подоходного налога.
— Поддержка в процессе натурализации для релокантов.
About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend.
The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development.
Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours.
Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work.
Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience.
What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap.
Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer.
How to Apply: Fill out the application form at the provided link; no cover letter required.
Location: Espoo
Workplace: Hybrid
Role highlights:
- Supply Planning Specialist
- Location: Espoo
- Department: Global Manufacturing Strategy & Compliance
- Reports to: Supply Chain Manager
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Supply Planning Specialist, you’ll play a key role in ensuring materials flow seamlessly across multiple global sites to meet production schedules and customer needs. You will be developing supply plans, balancing supply and demand, optimizing inventory levels, coordinating across global procurement, production, and logistics teams, and ensuring timely execution of supply plans in a fast-paced new space manufacturing environment.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Your day-to-day responsibilities
- Develop and maintain short- and long-term supply plans based on demand forecasts, production plan, and material availability.
- Define planning parameters and ensure the data accuracy for MRP
- Monitor inventory levels of raw materials, components, and subassemblies to ensure optimal stock levels while avoiding shortages or excess.
- Review MRP results and create purchase requests based on lead times and inventory levels.
- Collaborate with procurement to ensure timely ordering and delivery of materials from suppliers.
- Work closely with demand/production planners to ensure smooth manufacturing schedules and resolve any supply constraints.
- Manage supply exceptions and communicate risks proactively to stakeholders.
- Drive the implementation, optimization, and effective use of MRP functionality within ERP and improve system functionality in close collaboration with IT
What we’re looking for
Must haves:
- Bachelor’s degree in Supply Chain Management, Industrial Engineering, Business Administration, or related field.
- 2+ years of experience in supply planning, production planning, or materials management, preferably in electronics or high-tech manufacturing.
- Proficiency in ERP/MRP systems (e.g., Netsuite, SAP, or similar)
- Excellent Excel and data analysis skills
- Strong analytical and problem-solving abilities
- Ability to prioritize and manage multiple tasks effectively
- Strong communication and cross-functional collaboration skills
Nice to haves:
- Experience with BI tools for data visualization and reporting
- Familiarity with MES and PLM systems
- Basic Python knowledge for automation, data analysis, or reporting tasks
Application Process
- Talent Acquisition screening (video call)
- Hiring Manager interview (video call)
- Take-home task and technical interview (video call)
- Team / Culture Interview (on-site)
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Москва
Сегодня мошенничество в нашей стране приобретает масштабы национального бедствия – ежегодно это миллиардные потери граждан. В Сбере обеспечение безопасности денежных средств клиентов является одним из приоритетных направлений, и уже на протяжении нескольких лет Банк успешно справляется со всеми вызовами в сфере социальной инженерии. За 2025г. предотвращено мошенничество на сумму более 368 млрд руб. Для защиты своих клиентов Сбер использует уникальную систему фрод-мониторинга, которая выявляет 99,9% всех попыток мошенничества
Обязанности
* Ежедневный анализ и разбор актуальных кейсов мошенничества, их категоризация, выявление причин и паттернов.
* Формирование и проверка гипотез о новых схемах мошенничества.
* Разработка новых и корректировка действующих алгоритмов фрод-мониторинга.
* Написание SQL-запросов для извлечения, агрегации и анализа данных из различных источников (транзакции, клиентские профили, сессионные данные).
* Анализ эффективности существующих алгоритмов фрод-мониторинга и предложение конкретных шагов по их улучшению.
* Снижение уровня ложных срабатываний (False Positive Rate) без ущерба для уровня детекции
Требования
* Опыт написания SQL-запросов (оконные функции, подзапросы, JOIN) для извлечения и агрегации больших объемов данных из различных источников.
* Опыт работы с Python для анализа данных (jupyter, pandas, pySpark, sparkSql)
* Визуализация проверяемых гипотез и выявленных зависимостей
* Практический опыт использования языковых моделей (таких как ChatGPT, GigaChat, DeepSeek и т.п.) для решения рабочих задач (написание кода, анализ текста, генерация идей, поиск информации).
* Способность не только находить аномалии, но и формулировать, а затем проверять гипотезы о возможных случаях мошенничества.
* Системное мышление, внимательность к деталям
* Проактивность - сотрудник не ждет указаний, а сам предлагает улучшения и видит возможности для оптимизации процессов.
* Интерес к новыми технологиями, трендам в сфере кибербезопасности и мошенничества.
_Будет плюсом, если имеются навыки и опыт:_
* Опыт работы в схожих сферах (комплаенс, аудит)
* Понимание основных принципов платежных методов
* Базовые знания в области информационной безопасности и киберугроз.
Условия
* формат работы - 5/2 офис
* инновационные, амбициозные проекты и задачи
* проекты, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти
* среда для обмена знаниями – высокая экспертиза внутри команды
* нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам
* сплоченный коллектив, работающий над общими задачами и умеющий хорошо отдыхать
* стабильную заработную плату и годовой бонус
* ДМС
* современный IT-офис вблизи Москва-Сити в пяти минутах от метро "Кутузовская", с фитнес залом.
Location: Singapore
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Checkout.com http://Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.
JOB DESCRIPTION
How you'll make an impact
- Provide technical support to merchants during their implementation of Checkout.com http://Checkout.com payment processing technology
- Answer all merchants’ integration related questions, including but not limited to configuration, debugging, documentation, testing, go-live support, and post-live support
- Manage incidents as related to the integration (investigation, troubleshooting, escalation, resolution, reporting, time tracking and analysis of incidents)
- Collaborate and partner with internal teams such as Merchant Configuration, Sales, Account Managers, and Merchant Care, to resolve issues during customer trials, integrations, or post-implementation support
- Interact with the Product teams to pinpoint improvement ideas
- Advise Manager on issues which impact customer satisfaction and provide recommendations for appropriate actions
- Ability to multitask with multiple projects and integrations of customers
- Maintain/update existing libraries/plugins used in integrations
QUALIFICATIONS
- 5+ years of development or technical support experience in a Tech/FinTech company
- Have payments experience would be advantageous
- Understanding of API, REST, webhooks and logs is required
- Strong coding skills in at least one of these languages: Java, Javascripts, PHP, Python, Go, C#
- Experience with Node.js, React is a plus
- Knowledge in iOS/Android is a plus
- Excellent communication skills, ability to build and maintain strong relationships
- Ability to work in a customer-focused and target-driven environment
- Good in speaking and writing in both English and Chinese
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Remote, Canada; Remote, United States
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 a Staff Engineer, you'll be the technical anchor for GitLab's Nonlinear Productivity team in the US: the person who decides what "proven" means before something ships, and who helps shape what the team builds next, not just how to build it. It's a from-scratch, generalist team with no dedicated product manager — that ownership starts on day one.
Some examples of the problems this team takes on:
Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions.
Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to.
What you'll do
Set the technical direction for the team's agentic systems, from how agents are orchestrated to where a step should stay human-owned, and defend those calls once they're tested against real code.
Discover and prioritize sources of friction across GitLab's SDLC, driving the fix — agentic, process-based, or both — from a rough hypothesis through to a shipped, measured result.
Work across any part of GitLab's codebase as the problem requires, since this team operates like a small, generalist group rather than one scoped to a single service.
Apply distributed systems judgment to catch cases where generated code looks correct but breaks under concurrency, at scale, or across deployment topologies (including self-managed, dedicated, and multi-tenant environments), and coach others to do the same.
Mentor senior and mid-level engineers on agent engineering practices and distributed systems judgment, through design reviews and pairing that raise the team's collective bar rather than just your own output.
Collaborate with the India-based group a few times a week to align on the roadmap, and represent the team's technical progress to stakeholders in the Chief Technology Officer's organization.
Serve as a bar raiser for the team's hiring, owning the Technical Leadership round for other Staff-level candidates as the team scales.
Own a greenfield technical foundation from day one, with your scope and impact free to grow as the team scales.
What you'll bring
Experience building reliable agentic or large language model (LLM)-based systems, including multi-step orchestration, tool use, guardrails, and recovery.
Ability to work autonomously in unfamiliar codebases and drive solutions from discovery through completion.
Strong distributed systems and computer science fundamentals, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load.
Proficiency in Go, Rust, or Python, with the ability to read and modify code in the others.
A track record of delivering results from unclear or incomplete requirements — able to take a complex, loosely specified problem and decompose it into a concrete proposal of small, shippable steps.
Experience designing evaluation frameworks for systems where "looks plausible" and "is actually correct" are different questions, and a track record of raising the quality bar for a team's output, not just your own.
A history of unblocking and enabling teammates — through design reviews, technical writing, or mentoring — and of engaging regularly with other teams to find where collaboration actually pays off.
About the team
Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. Solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering.
It's a good fit for engineers who want technical ownership of something with no existing playbook, and a hand in defining a brand-new part of GitLab from its first commit.
Remote-Global
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$152,800
—
$259,200 USD
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.
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Recruitment Privacy Policy.
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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
.
Location: Remote, Canada; Remote, United States
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 a Senior Backend Engineer on GitLab's Nonlinear Productivity team, you'll find and remove friction across the software development lifecycle using reliable AI-powered automation — diagnosing problems like long review cycles, manual release steps, and brittle automation, then building the automation and process changes that resolve them for good.
Some examples of the problems this team takes on:
Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions.
Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to.
What you'll do
Identify sources of friction across GitLab's software development lifecycle and scope agentic solutions to address them, turning vague pain points into concrete, buildable proposals.
Design and build reliable AI-powered systems that follow step-by-step workflows, use tools and safety checks, and correct errors before taking engineering action — the kind of output you can actually trust with real engineering decisions.
Build and maintain evaluation tools that judge agent output on correctness, constraint compliance, and cost, not on whether it merely "seems to work."
Work across GitLab's codebase as each problem requires, going wherever the friction actually is rather than staying inside one service or product area.
Apply distributed systems judgment to identify generated code that may fail under concurrency, at scale, or across self-managed, dedicated, and multi-tenant deployments, catching failures before they reach customers.
Collaborate with the India-based group, sharing roadmaps, findings, and reusable agent tooling
Take ownership of a greenfield problem space from day one, helping shape a proven internal fix into a capability GitLab could offer customers externally, with your scope and impact free to grow as the team scales.
What you'll bring
Hands-on experience building agentic or large language model-based systems — multi-step orchestration, tool use, guardrails, and recovery patterns — and making them reliable in production, not treated as one-off prompts or demonstrations.
A track record of working autonomously in unfamiliar codebases, getting oriented quickly, and driving solutions through completion.
Strong distributed systems knowledge, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load.
Proficiency in Go, Rust, or Python, in that order of team priority, and the ability to read and modify code in the other languages.
Helpful experience includes shipping autonomous agents that complete real tasks from start to finish; improving build systems, release processes, review workflows, or other parts of the software development lifecycle; and working with globally distributed teams, large language model workload costs, or production constraints across on-premises, air-gapped, single-tenant, and software-as-a-service deployments.
About the team
Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. It operates like a startup — no dedicated product manager, no pre-set backlog — and solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering.
It's a good fit for engineers who'd rather go find the next problem than be handed one, and who want a hand in defining a brand-new part of GitLab from its first commit.
Remote-Global
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
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
.
Location: Dubai, United Arab Emirates
Job Description
We are seeking experienced
AI Engineers / Agentic AI Developers
to design, develop, and deploy enterprise-grade AI solutions with a focus on
Agentic AI
,
Large Language Models (LLMs)
, and
Retrieval-Augmented Generation (RAG)
. The successful candidate will be responsible for building intelligent AI agents and workflows capable of reasoning, planning, task execution, and orchestration while ensuring all solutions are deployed in an
on-premises environment
using local AI models and tools.
Key Responsibilities
Gather, analyze, and translate business requirements into scalable AI and Agentic AI solutions.
Design, develop, test, deploy, and maintain AI-powered applications and autonomous AI agents.
Build Agentic AI workflows capable of reasoning, planning, task execution, and orchestration.
Develop and integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.
Integrate AI solutions with enterprise applications, APIs, databases, cloud services, and on-premises systems.
Optimize AI models, prompts, workflows, and application performance.
Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.
Prepare technical documentation, deployment guides, operational manuals, and knowledge transfer materials.
Provide technical support, troubleshooting, performance tuning, and continuous improvements.
Design and implement AI solutions using
on-premises infrastructure, local models, and enterprise-approved AI tools
.
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
5+ years
of software development experience, including
2+ years
working with AI/Generative AI technologies.
Strong experience with
Python
and AI application development.
Hands-on experience with
Large Language Models (LLMs)
and prompt engineering.
Experience designing and implementing
Retrieval-Augmented Generation (RAG)
solutions.
Experience building
Agentic AI
or multi-agent systems.
Experience integrating AI applications with
REST APIs
, databases, and enterprise applications.
Familiarity with AI orchestration frameworks such as
LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen
, or similar.
Experience working with vector databases such as
Milvus, ChromaDB, FAISS, Pinecone
, or equivalent.
Knowledge of model deployment using
Ollama, vLLM, Hugging Face Transformers, NVIDIA NIM
, or similar on-premises inference platforms.
Experience deploying and managing AI solutions in
on-premises environments
.
Understanding of AI security, governance, privacy, and Responsible AI principles.
Experience with Docker, Kubernetes, Git, and CI/CD pipelines is preferred.
Strong analytical, problem-solving, communication, and documentation skills.
Preferred Skills
Experience with open-source LLMs such as
Llama, Mistral, Qwen, Gemma, or DeepSeek
.
Experience with GPU infrastructure and AI model optimization.
Knowledge of MLOps practices and AI monitoring.
Experience integrating AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, or other enterprise systems.
Experience working in highly secure or regulated enterprise environments.
This JD is aligned with your requirement that
all AI use cases must run on-premises using local models and on-premises tools
, making it suitable for enterprise or government projects.
Location: Argentina; Brazil; Mexico; Uruguay; Chile; Colombia
Location:
Fully Remote (Worldwide) – Focus on LATAM time zones (Americas)
Employment Type:
Full-time, B2B / Independent Contractor (or W2 for US-based candidates)
About the Position & Company
Our client is a global leader in Linux infrastructure and security solutions, known for pioneering automated live patching technologies that enable enterprises to apply critical kernel updates without reboots or downtime. They also provide extended support for end-of-life Linux distributions, helping organizations maintain compliance and enterprise-grade security.
With a fully remote team of 250+ professionals worldwide and a client base of over 4,500 enterprise customers—including major tech industry leaders—they deliver robust infrastructure solutions across the US, Europe, Latin America, and beyond.
Key Responsibilities
Research & Analysis:
Investigate upstream security (CVE) and bug fixes; analyze patch dependencies and impact on legacy kernels.
Backporting:
Manually backport Linux kernel patches to older kernel versions used in RPM-based and Debian-based distributions.
Conflict Resolution:
Resolve merge conflicts between upstream changes and target kernel codebases.
Kernel Packaging:
Build and rebuild kernel source and binary packages using reproducible build environments for RPM and Debian ecosystems.
Validation & Testing:
Validate patched kernels through build tests, runtime tests, and regression analysis to ensure stability.
Tooling & Automation:
Enhance internal workflows (patch preparation, build automation, validation pipelines) using Python, Go, and Shell scripting.
AI Integration:
Leverage agentic/AI-assisted development tools to accelerate tasks, while rigorously verifying every generated output.
Documentation & Collaboration:
Document technical decisions, participate in code reviews, and communicate clearly with team members across time zones.
Requirements
Must-Have
Strong C proficiency
and hands-on Linux debugging skills.
Proven commercial experience
in Linux kernel development—specifically patching, backporting, or debugging.
Solid experience with
Git
,
GNU build tools
(make, autotools), and standard Linux developer utilities.
Experience building
Linux kernels
or distribution packages from source.
Scripting and automation skills:
Python, Go, or Shell
.
Practical exposure to
AI-assisted development tools
(e.g., Copilot, Codeium, or similar), with a disciplined approach to code verification.
English:
Intermediate or higher (B1+), both written and spoken—you’ll be working in an international team and communicating in English daily.
Strong ownership mindset, balanced technical judgment, and ability to articulate trade-offs.
Nice-to-Have
Experience with
RPM/SRPM
or
Debian kernel packaging
.
Familiarity with
security patching
, CVE analysis, and extended lifecycle maintenance.
Working knowledge of
Docker, QEMU, Jenkins
, or other CI systems.
Experience designing kernel validation tests, analyzing core dumps, and investigating regressions.
Candidate Profile (Cultural Fit)
Hands-on practitioner:
You love working directly with kernel code, not just theorizing.
Methodical and detail-oriented:
Kernel patching requires precision, reproducibility, and thorough validation.
Ownership-driven:
You take responsibility for outcomes, document your work, and proactively communicate risks.
AI-curious but cautious:
You embrace AI tools to accelerate development but never skip verification.
Remote-first compatible:
You thrive in async environments with minimal supervision and clear communication.
Benefits
100% remote work
with flexible hours — work from anywhere in the world (focus on LATAM-friendly time zones).
24 paid vacation days
+ 10 national holidays + unlimited sick leave.
Private medical insurance
compensation.
Coworking space
and
sports/fitness
reimbursement.
Professional development budget
— conferences, courses, certifications.
Reward program
for patentable ideas.
A collaborative, non-corporate environment with a strong engineering culture.
Location: Chicago, IL
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
This will be a hybrid in office role in Chicago, IL.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- Travel to customers up to 25% of the time
WHAT YOU’LL BRING
- 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION:
Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Remote, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We're hiring an Engineering Manager to lead the Semantic Layer team in Bengaluru. You'll own the health, delivery, and growth of the team behind MetricFlow — building and coaching a group of engineers, setting technical direction in partnership with your leads, and ensuring one of the most important projects in the modern data stack keeps shipping with quality and momentum.
This is a hands-on leadership role. You'll spend most of your time growing people, running a healthy delivery process, and shaping strategy — but you'll stay close enough to the code and the architecture to make sound technical calls and earn the trust of a senior engineering team. You'll also be the steward of a public, community-facing open-source project, balancing the needs of internal roadmap and external contributors.
About the team
The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is
MetricFlow
— the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications.
This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. The team works at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business.
What you'll do
Lead, coach, and grow a team of software engineers building MetricFlow — hiring, onboarding, career development, performance management, and day-to-day support.
Own delivery for the Semantic Layer team: planning, prioritization, execution, and predictable shipping of high-quality software.
Partner with your senior and staff engineers to set technical direction across metric definitions, query compilation, dimensional modeling, and SQL generation for multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others).
Steward MetricFlow as an open-source project — set the bar for how the team triages issues, reviews external pull requests, manages releases, and engages the community on GitHub and in Slack.
Collaborate with engineering leaders across the dbt platform, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem.
Partner with product, design, and developer-relations counterparts to translate customer and community feedback into a clear, well-sequenced roadmap.
Drive engineering excellence in performance, reliability, and observability of metric query execution at scale.
Foster a culture of design docs, thoughtful code review, and durable engineering — shipping fast without shipping sloppy.
Skills we're looking for
Experience managing software engineering teams, including hiring, coaching, and performance management, with a track record of shipping production systems.
A strong engineering foundation — you've built and shipped production software yourself and can engage credibly on architecture and technical tradeoffs with a senior team.
Familiarity with the technical domain: SQL fundamentals, how analytical query engines and data warehouses execute queries, and systems that involve parsing, compilation, or transformation (query planners, DSL compilers, type systems, or rule-based engines).
Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility — and the judgment to hold a team to them.
Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, product managers, and external community members.
Experience leading in a distributed, asynchronous team environment.
Nice to have
Experience leading or contributing to a popular open-source project, including managing a community of external contributors.
Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies.
Background in data warehousing internals, query optimization, or analytical SQL dialects.
Experience with CI/CD, GitHub Actions, and release engineering for Python libraries.
Exposure to building developer-facing APIs, SDKs, or CLIs.
Why join us
Impact at scale: Your team's code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises.
Open-source ownership: You'll lead the team behind a foundational open-source project — visible, reviewed, and used by the global data community.
A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy.
Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning and wellness stipends, and home-office support.
#LI-REMOTE
#LI-SA1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Bangalore, India
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Our mission is to empower data practitioners to create and disseminate organizational knowledge. dbt Core is the open-source engine at the heart of this mission, used by tens of thousands of analysts and engineers to transform data with the rigor of software engineering. We are looking for a systems-oriented engineer to join the small, expert team that builds and maintains this foundational piece of the modern data stack. This is an opportunity to work on deeply technical, high-leverage problems where your contributions will improve the daily workflow of a massive and passionate open-source community.
About The Team
The dbt Core team are the stewards of the open-source engine that powers the modern data stack for tens of thousands of practitioners. This small, high-trust group of systems engineers tackles the most fundamental challenges in dbt: ensuring the performance, reliability, and architectural integrity of
dbt
itself. They not only own the core execution engine but also architect the crucial adapter framework that connects dbt to a growing ecosystem of databases and data platforms.
As a Staff Software Engineer on the Core & Adapters team, you will be a steward of the performance, reliability, and architectural integrity of dbt. You will tackle ambiguous, open-ended problems and take ownership of critical systems.
What You’ll Do
Dive deep into the dbt-core execution engine, using your systems expertise to identify, debug, and eliminate performance bottlenecks in our Python codebase.
Architect and implement improvements to our adapter interface, the crucial layer that connects dbt to a growing ecosystem of databases and data platforms, enabling the community to build more powerful and efficient integrations.
Debug complex, system-level issues that span from Linux process management and concurrency models to database query planning and network protocols.
Lead technical design discussions and contribute to the long-term architectural roadmap for dbt Core, making key decisions about what, how, and when we build to ensure its scalability and reliability for years to come.
Mentor other engineers and review contributions from our vibrant open-source community, upholding our high standards for code quality, testing, and design while fostering a collaborative and inclusive environment.
Take strong ownership of our distributed systems, troubleshoot complex production issues, and participate in an on-call rotation to maintain high availability and deliver a resilient platform experience.
Skills We’re Looking For
We are looking for an engineer with a strong performance and debugging mindset, excellent mental models for complex systems, and a deep curiosity for infrastructure and open-source software.
Required Qualifications:
6+ years of professional software development experience, with a focus on building and operating backend systems in a production environment.
Deep backend engineering experience and proficiency in Python.
A systematic, first-principles approach to problem-solving, with comfort navigating and debugging in Linux environments (e.g., understanding process scheduling, memory management, file systems).
Solid grasp of database internals, such as query execution engines, storage layers, indexing strategies, and transaction management.
Excellent communication skills and a sense of ownership, with the ability to balance technical depth with fast, iterative delivery.
Preferred Qualifications:
A background in data warehousing, data engineering, or analytics engineering.
Professional experience writing production code in Go or Rust.
Experience contributing to or maintaining a popular open-source project.
Experience building compilers, interpreters, or developer tooling.
Familiarity with performance analysis tools like
perf
or
strace
.
The Team & Our Culture
You will join a small, high-trust team of senior and staff-level engineers who are passionate about building robust, well-crafted, and reliable software. We operate in a remote-first, asynchronous-friendly environment that values deep work, clear written communication, and a high degree of autonomy. We are deeply connected to our users and the open-source community, and we believe that the best solutions come from a rigorous, collaborative, and empathetic engineering process.
#LI-REMOTE
#LI-SA1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The team plays a key role in Voodoo’s long-term strategy by accelerating product diversification and providing a state of the art growth-engine to distribute and scale our games.
We are looking for a Senior Data Analyst who thrives on transforming data into actionable insights, supporting strategic decisions, and collaborating closely with stakeholders to fuel growth. By joining this team, you will directly shape Voodoo’s marketing and monetization strategies, helping our apps reach and engage hundreds of millions of users worldwide.
ROLE
We’re looking for a Senior Data Analyst to join our Engineering & Data team.
The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction.
We want to onboard a passionate data analyst with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success.
This position is hybrid and requires 3 days per week in the office based in Paris.
- Design, build and monitor data models & dashboards to track business metrics
- Work with cross-functional teams to identify key business needs and solve them using adequate statistical models
- Thoroughly document your results and offer onboarding and continuous training to help teams effectively utilize data and insights.
- Establish data quality processes to ensure the reliability and accuracy of our machine learning models.
- Promote data literacy within the organization and serve as the primary point of contact for all data-related inquiries and support.
- Demonstrate excellent communication skills to efficiently manage senior stakeholders within a fast-paced scale-up environment.
- Work closely with the central data team to source additional data and enhance data management practices
PROFILE
- At least 4 years' experience in Data Analysis
- Proficient with SQL and/or Python, with a proven experience working with large and complex data sets.
- Autonomous person with a strong analytical mindset, problem-solving skills and strong attention to detail.
- Experience with statistical modeling & predictive analytics
- Excellent verbal & written communication abilities
- Experience building dashboards with Tableau.
- Experience in gaming industry or mobile marketing is a plus
- Any personal or professional experience with machine learning will be valued
OUR STACK
SQL; Python; DBT; AWS; Tableau
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Location: Remote - Ireland
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as our next Software Engineer on Twilio’s platform engineering observability team.
About the job
This position is needed to help our platform engineering observability team. Twilio is undergoing a large-scale observability transformation—and you can help shape the foundation. Observability is a strategic pillar and a key enabler for faster incident response, deeper customer-centric insights, and more cost-effective platform operations.
As a Software Engineer on the Platform Observability team, you’ll play a critical role in re-architecting how telemetry flows and is utilized through Twilio—making it structured, accessible, affordable, and actionable. Over the next 3 years, Twilio is rebuilding nearly every component of our observability platform, from data collection to real-time analytics. You will drive core initiatives that shift Twilio from fragmented tooling and wasteful data sprawl to a unified, OpenTelemetry-first observability stack built for scale.
You’ll lead technically and strategically—designing platform components, influencing org-wide architectural decisions, mentoring engineers, and engaging directly with teams across Platform Engineering and R&D
Responsibilities
In this role, you’ll:
Lead the end-to-end architecture and delivery of key observability platform components, with a focus on reliability, scalability, and usability.
Drive consistency and quality across all observability signals—logs, metrics, traces, and continuous profiling—building intuitive workflows for engineers.
Serve as a technical advisor and mentor across the platform org, guiding design decisions and aligning cross-team efforts with long-term architectural goals.
Go deep in one or more problem areas (e.g., high-cardinality telemetry, distributed tracing correlation, compute cost insights), while ensuring the platform scales horizontally.
Collaborate with product teams, SREs, and developer experience groups to deeply understand telemetry needs and integrate observability into core engineering workflows.
Design and build developer-friendly tooling and APIs to support incident response, performance analysis, and platform debugging at scale.
Leverage (and optionally contribute to) open-source standards like OpenTelemetry to ensure interoperability and extensibility.
Champion a pragmatic approach to observability—balancing performance, cost, and user value across diverse engineering teams.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
Proven expertise in building and scaling observability systems (e.g., logging platforms, metrics pipelines, tracing infrastructure, or profiling tools).
Lead technical execution for major components of Twilio’s observability overhaul, including our shift to centralized S3-based data lakes, OpenTelemetry instrumentation, and ClickHouse-backed query engines.
Proficiency in at least one modern programming language (e.g., Go, Python, Java).
Familiarity with high-cardinality data challenges and telemetry correlation techniques.
Experience designing high-scale telemetry systems (e.g., Prometheus, ClickHouse, OpenTelemetry, Kafka, or equivalent).
Solid understanding of distributed systems and the challenges of observability in complex, microservice-based environments.
Experience with AWS, Kubernetes, and infrastructure-as-code tools.
Provide architectural guidance and thought leadership across teams, helping to establish clear telemetry standards, efficient usage patterns, and scalable platform abstractions.
Ability to make forward-looking technical decisions and lead others through ambiguity and chan
Desired:
Familiarity with ClickHouse, Grafana Mimir, Athena, or equivalent systems for log and metrics querying.
Contributions to open-source observability tools or communities.
Experience building cost visibility or FinOps tooling for cloud compute and telemetry pipelines.
Location
This role will be remote from Ireland.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: New York City
Workplace: Hybrid
About Pinecone
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.
About the Team and Role:
We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability.
Responsibilities:
- Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation
- Design and build optimized indexing pipelines for structured and unstructured data
- Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration
- Improve retrieval quality through evaluation and observability frameworks
- Design APIs for internal and external user and agentic consumers
- Optimize latency, throughput and cost across large-scale inference and retrieval workloads
- Drive technical direction for reliability and security
What You’ll Bring to the Table:
To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge.
Systems Expertise
- Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability.
- Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas.
AI & Retrieval
- Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch.
- RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance.
Technical
- Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python.
- Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi.
Ownership & Impact
- Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love.
- Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket."
Bonus Points
- Experience building multi-tenant SaaS platforms.
- Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results.
- Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps).
Perks & Benefits:
- Comprehensive health coverage including medical, dental, vision, and mental health resources
- 401(k) Plan
- Equity award
- Flexible time off
- Paid parental leave
- Annual Company Retreat
- WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Location: US Remote
Workplace: Remote
About Pinecone
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.
About the Team and Role:
We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability.
Responsibilities:
- Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation
- Design and build optimized indexing pipelines for structured and unstructured data
- Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration
- Improve retrieval quality through evaluation and observability frameworks
- Design APIs for internal and external user and agentic consumers
- Optimize latency, throughput and cost across large-scale inference and retrieval workloads
- Drive technical direction for reliability and security
What You’ll Bring to the Table:
To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge.
Systems Expertise
- Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability.
- Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas.
AI & Retrieval
- Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch.
- RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance.
Technical
- Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python.
- Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi.
Ownership & Impact
- Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love.
- Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket."
Bonus Points
- Experience building multi-tenant SaaS platforms.
- Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results.
- Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps).
Perks & Benefits:
- Comprehensive health coverage including medical, dental, vision, and mental health resources
- 401(k) Plan
- Equity award
- Flexible time off
- Paid parental leave
- Annual Company Retreat
- WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Location: Germany; France; Netherlands; Spain
Workplace: Remote
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.
As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.
We are looking for a Mid-Level Security Engineer to own the hands-on engineering and operational work within our security program. You will be embedded in the Cloud Engineering team, report into the Security Officer, and work closely together to identify risks, set priorities, and drive security issues through remediation. You will act as a security enabler across all Product & Engineering.
WHAT YOU WILL OWN
- Run our public bug bounty program: triage reports, reproduce and validate findings, communicate clearly with security researchers, and drive remediation through to closure.
- Investigate reported vulnerabilities at the code level, including our Rust core, Go and Python tooling.
- Enable engineers to build secure systems: provide tooling, paved-road defaults, documentation, and practical guidance so security is the easy path, not a checkpoint.
- Partner with engineering teams to design, review, and verify fixes, and set clear security requirements on changes where the risk warrants it.
- Harden and maintain our GitHub organization’s security posture, including secret scanning, push protection, branch protection and rulesets, dependency alerts, and code scanning, in partnership with the engineering teams that use these repositories daily.
- Monitor, investigate, and respond to security alerts across AWS, Kubernetes, CI/CD, and related infrastructure.
- Track and report security metrics (vulnerability remediation SLAs, MTTR, patch latency, critical findings) and keep reporting current for the Security Officer.
- Implement, configure, and maintain security tooling across our development and cloud environments.
- Support security incident response, including investigation, containment, remediation, and follow-up.
- Maintain clear, complete, and auditable records of vulnerability and incident work in our tracking systems.
- Build security automation and guardrails that scale across the development lifecycle: CI/CD security checks, policy-as-code, GitHub automation, and automated cloud security controls, so secure defaults are enforced by tooling rather than review.
- Participate in threat modeling and architecture reviews for new services and major changes.
We are also building out our ISMS, which creates opportunities to contribute to security-tooling evaluations, technical vendor assessments, and proof-of-concept work. Formal compliance ownership, vendor risk assessments, and customer security questionnaires remain with the Security Officer.
This is a hands-on technical role focused on security engineering, vulnerability management, and incident response. The Security Officer owns compliance, formal third-party risk assessments, and customer security questionnaires, allowing you to focus primarily on engineering work. On-call expectations are low: there is no formal rotation, though occasional availability for high-severity incidents is expected.
WHO YOU ARE
- You can read and navigate an unfamiliar codebase (Rust, Go, Python) well enough to validate a vulnerability report, trace its impact, and judge whether a proposed fix actually closes it.
- You write and maintain automation and security tooling comfortably, and can hold a credible technical conversation in code review.
- Experience triaging vulnerability reports or working with a bug bounty program, vulnerability disclosure program, product security team, or similar function.
- Practical knowledge of cloud and container security, particularly AWS and Kubernetes.
- Familiarity with GitHub security features and securing CI/CD pipelines.
- The ability to investigate alerts and vulnerabilities methodically, distinguish genuine risk from noise, and recommend proportionate remediation.
- Clear written communication skills for working with external researchers and internal engineering teams.
- A self-directed approach and comfort independently managing a security queue.
- 3+ years in a hands-on security engineering, product security, or vulnerability management role.
Nice to have
- An offensive security background, such as penetration testing, CTF participation, vulnerability research, or exploit analysis.
- Experience working in an open-source company or contributing security improvements to open-source projects.
- Familiarity with cloud-native incident response.
WHY JOIN US
- A remote-first, international team working on cutting-edge AI infrastructure.
- A competitive salary with additional perks.
- Flexible working hours and async-friendly culture.
- High ownership and real impact.
- Open-source, engineering-driven culture.
- Choose your own laptop equipment.
For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
Come build with us!
FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/
#LI-REMOTE
Обязанности:
• Проведение учебной практики в группах 2 курса специальности «Информационные системы и программирование» по направлениям: «Разработка модулей программного обеспечения для компьютерных систем», «Сопровождение и обслуживание программного обеспечения компьютерных систем», «Разработка, администрирование и защита баз данных», «Выполнение работ по профессии рабочего 'Оператор электронно-вычислительных и вычислительных машин'»
• Обеспечение охраны жизни и здоровья обучающихся во время образовательного процесса
• Выполнение правил по охране труда и пожарной безопасности
Требования:
• Образование, знания, умения в соответствии с Профстандартом
• Владение навыками работы в специализированных программах, а также Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Интернет, электронная почта
• Знание истории ОС, архитектуры, диспетчеризации, планирования и взаимодействия процессов ОС, работы с памятью, файловых систем, принципов организации
• Установка, настройка и работа в Windows, Linux, Astra Linux; администрирование ОС и управление безопасностью
• Наличие сертификатов Microsoft и Python, Astra Linux (или иных Linux дистрибутивов)
• Знание модели OSI, принципов работы протоколов TCP и UDP
• Знание сетевых протоколов
• Наличие медицинской книжки, медицинского освидетельствования психиатра/нарколога, справки об отсутствии судимости
Условия:
• Работа на территории работодателя
• Полный социальный пакет
• Отпуск в летнее время
ОфисГеография найма не уточнена
УдалённоseniorГеография найма не уточнена
ГибридГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоseniorRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
Dubai, United Arab Emirates
УдалённоArgentina; Brazil; Mexico; Uruguay; Chile; Colombia; Fully Remote (Worldwide) – Focus on LATAM time zones (Americas); Document technical decisions, participate in code reviews, and communicate clearly with team members across time zones; with flexible hours — work from anywhere in the world (focus on LATAM-friendly time zones)
УдалённоГеография найма не уточнена
УдалённоRemote, India, APAC
Bangalore, India
ГибридseniorParis
УдалённоRemote - Ireland
ГибридseniorNew York City
УдалённоseniorГеография найма не уточнена
УдалённоGermany; France; Netherlands; Spain; We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds
