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Location: 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, Performance Enablement, you'll make performance testing and analysis easier for engineering teams to adopt and own. You'll build platforms, tooling, guidance, and artificial intelligence-assisted workflows that help teams identify performance risks during development and before they roll changes out to production. We're moving from a hands-on consulting model to a self-service model. Service teams own their performance tests, analysis, thresholds, and evidence. We provide the paved road, documentation, skills, and expert support for challenging problems and new capabilities. This is a backend and platform engineering role with room to grow in scope and influence. You'll help shape how Performance Enablement supports engineering teams, using artificial intelligence thoughtfully to accelerate design, implementation, testing, debugging, documentation, and automation. You'll support work such as: Enabling modular feature teams, including Orbit and Artifact Registry, to run performance testing through their own development and continuous integration workflows Building reusable performance tooling, including component-level testing, load testing, performance analysis, and artificial intelligence-assisted engineering skills Improving performance results, reporting, and trend visibility so teams can make informed decisions from their own evidence Establishing the documentation, templates, and guidance needed to expand self-service adoption across research and development What you’ll do Build and evolve reusable backend platforms and tooling for performance testing and analysis. Create self-service workflows, documentation, templates, diagnostics, and artificial intelligence skills that reduce the need for bespoke support. Use development practices that apply artificial intelligence to accelerate implementation, testing, debugging, and technical documentation. Influence engineering teams to make performance testing part of normal development and release preparation. Turn early hands-on engagements into generalized capabilities that many teams can adopt independently. Provide technical expertise for difficult performance questions, tooling enhancements, and new platform capabilities. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience building backend or platform software. Experience building internal platforms or developer-facing tooling. Experience partnering with development teams to improve their day-to-day workflows. Experience using development practices that apply artificial intelligence across the software lifecycle. Experience with software performance, such as performance analysis, optimization, benchmarking, or leading performance-related improvements. Practical experience with Kubernetes, k6, and Amazon Web Services, Google Cloud Platform, or similar cloud infrastructure. Experience building durable solutions that support broad adoption using systems thinking. Communicate clearly in writing and influence teams without direct authority. About the team Performance Enablement is part of Platform Enablement within Developer Experience and Infrastructure Platforms. We help GitLab teams make performance part of the software lifecycle. Our goal is to make performance a shared responsibility of service-owning teams while providing a strong platform and center of expertise when teams need help. We work asynchronously, collaborate broadly across research and development, and focus on building capabilities that scale beyond individual team engagements. 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 $156,800 — $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 .

Задачи: — Проектирование, внедрение и поддержка DevOps-инструментов для дата-пайплайнов и платформ. — Поддержка и автоматизация ETL-воркфлоу (например, Spark, Airflow). — Создание и управление мониторингом и наблюдаемостью качества данных (DBT), дата-пайплайнов и систем хранения. — Внедрение и поддержка инфраструктуры хранения данных на AWS (S3, EC2, сеть). — Интеграция и поддержка Project Nessie как транзакционного каталога для Data Lakes с семантикой, похожей на Git. — Тесное взаимодействие с Data Engineers для обеспечения плавного деплоя, версионирования и масштабирования дата-задач и пайплайнов. — Автоматизация деплоя и CI/CD процессов с использованием GitLab CI/CD. — Обеспечение лучших практик безопасности при работе с чувствительными данными. — Написание автоматизации инфраструктуры на Python, Bash, Ansible. — Документирование систем, пайплайнов и DevOps-процессов. Требования: — Опыт 5+ лет в DevOps / IT Ops / DataOps с практическим опытом работы с инфраструктурой, связанной с данными. — Глубокие знания Linux (сеть, настройка ядра, оптимизация производительности). — Практический опыт работы с Airflow, ClickHouse, DBT, Spark и Project Nessie. — Солидные знания AWS (S3, EC2, IAM, сеть). — Владение скриптингом и автоматизацией (Python, Bash, Ansible). — Опыт работы с CI/CD пайплайнами (GitLab). — Опыт с мониторинговыми стеками (Prometheus, Grafana, ELK). — Знакомство с контейнеризацией и оркестрацией (Docker, Kubernetes). — Понимание концепций управления данными. — Сильные коммуникативные навыки и проактивный подход. Желательно: — Опыт работы с потоковой обработкой данных в реальном времени. — Знание инфраструктуры как кода (Terraform). — Знакомство с безопасностью в дата-инжиниринге (IAM, шифрование, контроль доступа). — Опыт работы с высокопроизводительными системами или в торговой среде.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Staff Security Engineer to serve as a technical anchor for our security function. This role is critical for leading technical design reviews and ensuring our security posture scales alongside our rapid customer growth. You will be responsible for defining the security standards that protect sensitive healthcare data, ensuring our systems are resilient against evolving threats while maintaining high engineering velocity. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Lead technical security design: Own the technical design and review process for security-critical systems, ensuring all new features meet Garner's high standards for data protection and resilience Master complex domains: Maintain and apply a mastery of one or more technical security domains (e.g., Cloud Security, AppSec, or Data) to solve the most complex business and technical challenges Course-correct technical direction: Identify when technical paths are inefficient or insufficient and proactively redirect efforts to capture higher ROI for the firm Architect automated defenses: Create and implement advanced tools and automation that increase the efficacy of security monitoring and incident response Translate ambiguity into execution: Take broad, complex security objectives and break them down into well-defined deliverables and architectural requirements for the broader engineering team Mentor through technical rigor: Raise the bar for the engineering function by providing high-level feedback during code and design reviews, fostering a culture of security-first development The ideal candidate has: Exceptional Technical Judgment: Proven ability to make high-stakes technical decisions that result in positive long-term outcomes for the company's security posture Strategic Problem-Solving: Effectively leverages context and data to analyze root causes and prioritize security initiatives that offer the greatest impact on risk reduction Influential Stakeholder Management: Builds strong relationships across the organization, conveying complex security risks in a clear and compelling manner to both technical and non-technical partners Drive for Innovation: Continuously identifies and implements creative solutions to pay down technical debt and improve the efficiency of our security infrastructure Reliability Under Pressure: Handles complex escalations and security incidents with discipline, ensuring rigorous analysis and comprehensive resolution without jumping to conclusions A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Kubernetes, Snowflake, AWS, Terraform, Wiz, Cyberhaven, and more This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $258,000 - $310,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Задачи: — Проектировать и реализовывать критичные компоненты: policy engine, signing orchestration, key lifecycle, recovery flows, approvals, audit trails, multi-tenant wallet/account сервисы — Строить высоконагруженные multi-tenant SaaS-системы (изоляция тенантов, rate limiting, backpressure и т.д.) — Работать с distributed systems, reliability patterns, security-by-design — Активно использовать AI-инструменты (Claude Code, Cursor, Codex) как core-компетенцию Требования: — Сильные CS fundamentals (concurrency, distributed systems, consistency и т.д.) — 7+ лет backend на Go — Реальный опыт работы с современными AI coding tools + умение критически проверять AI-код — Опыт построения высоконагруженных multi-tenant SaaS — Опыт работы в криптоиндустрии (криптобиржи, блокчейн-проекты, Web3) Будет большим плюсом: — Опыт в custody/wallets/MPC/HSM/Ledger — Blockchain (EVM + Bitcoin обязательно, остальное в плюс) — Регулируемая среда (SOC 2, ISO 27001 и т.д.) — Kubernetes, SRE-практики Условия: — AI-first культуру с бюджетом на инструменты — Сильную команду (криптографы, security, SRE, Product) — Оплата в EUR / USD / криптовалюта — Полностью удалённый формат работы

Workplace: remote Requirements Programming Languages: Solid expertise in Java, familiar with the modern language features (records, sealed types, pattern matching, virtual threads). The codebase targets Java 25 Framework & API Design: Ability to design public APIs and plugin SPIs consumed by other teams, with a knowledge of binary compatibility, deprecation practice, etc. Concurrency & Reliability: Solid understanding of multithreading, timeouts, cancellation and interruption Backend & Services: Knowledge of Spring Boot, background job scheduling, retry and idempotency strategies, and safe allocation of a limited pool of shared resources Build & Release Tooling: Strong understanding of multi-module Gradle (version catalogs, BOMs, toolchains), publishing to an internal artifact repository (Artifactory or similar), and CI/CD pipelines (GitHub Actions, Jenkins) Proficiency in Git/Gitflow Education: Bachelor’s degree in Computer Science, Engineering, or a related field Nice to have Architecture & Operations: Containerization technologies (Docker, Kubernetes) and familiarity with monitoring/logging tools (Prometheus, ELK stack, New Relic) Device Infrastructure: Experience with device farms or a self-managed device lab (HeadSpin, BrowserStack, Sauce Labs), covering session lifecycle, port forwarding and unreliable hardware Domain & Industry Experience: Experience working within a game development environment or the mobile gaming industry, including reading C# and automating game UIs that expose no native element tree Mobile Automation: Ability to design and execute automated tests for native mobile applications (Appium, XCUITest, Espresso) across iOS and Android, on both real devices and simulators Responsibilities Core Framework Architecture: Design, implement, and maintain the underlying core test automation engine and public/plugin APIs in Java 25 Backend & Infrastructure Orchestration: Develop resilient Spring Boot microservices, job scheduling, and safe resource allocation pools to manage test execution environments Build & CI/CD Tooling: Configure and maintain multi-module Gradle builds, internal artifact publishing, and automated deployment pipelines Cross-Team Enablement: Provide stable, well-designed APIs and extension points for AI Agent Developers and Automation QA Engineers building game-specific automated tests We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Dina hh@itransition.com

Описание проекта Информационно-аналитическая веб-платформа для профессиональных участников финансового рынка (биржевые данные, аналитика, новости). Микросервисная архитектура, высокая цена ошибки в данных. Перестраиваем разработку под модель, где большую часть кода пишут AI-агенты, а инженер — постановщик задач, архитектор и контролёр качества. Задачи: — закрывать несколько ролей: системный анализ → проектирование → реализация → базовое QA → вывод в прод — постановка задач с проверяемым результатом — декомпозиция фичи: что делаем сами, что отдаём агенту, что согласуем — лидирование разработки: планирование, код-ревью, менторинг — end-to-end ownership: фича от идеи до прода Требования: — backend-разработка от 5 лет, из них часть на Python — писать надо будет на Python — микросервисы, понимание их слабых мест — SQL, проектирование реляционных БД; PostgreSQL, MongoDB — паттерны (Repository, Service, Unit of Work), DDD, CQRS — Docker, Kubernetes (основы), CI/CD (GitLab CI), мониторинг (Prometheus, Grafana, ELK) — работа с нечёткими требованиями: user stories, критерии приёмки, ТЗ — опыт с AI-ассистентами (Claude Code, Cursor, Copilot): делегация задач, инженерия контекста, критическая верификация результата — лидирование разработки от 2 лет — быстрая обучаемость, системное мышление, самостоятельность — готовность совмещать роли и работать в высоком темпе — в резюме до отклика обязательно указать опыт с задачами СА и AI-инструментами (что, для чего, результат) Будет плюсом: — REST API (CRUD, пагинация), обратносовместимые API — Kafka, RabbitMQ, потоковая обработка ETL, Apache Airflow — PostgreSQL FTS, ElasticSearch, WebSocket — OAuth/OpenID, Keycloak, RBAC/ABAC — Yandex Cloud, Golang, Django — опыт с финансовыми/биржевыми данными Условия: — грейд: Senior — загрузка: 100% — срок подключения: до конца года с продлением — отпуск: не ранее чем через полгода

Задачи: — Разрабатывать и проектировать сервисы беттинговой платформы — Контролировать технические решения — Проводить CodeReview — Взаимодействовать с аналитиками, тестировщиками и другими разработчиками Требования: — Глубокие знания платформы .NET, опыт backend разработки на C# — Опыт работы с брокерами сообщений RabbitMQ и Kafka (обязательно) — Опыт разработки многопоточных приложений — Опыт работы с ORM — Опыт работы с Docker Будет плюсом: — Глубокое понимание EF Core — Понимание микросервисной архитектуры — Опыт работы с GitLab и Kubernetes Условия: — Полный рабочий день — Возможность удалённой работы — Опыт от 5 лет

Workplace: remote Requirements 5+ years of experience with C#/.Net REST APIs Microservices architecture OAuth2, JWT, OIDC Graph modeling Distributed systems Understanding of RBAC, ReBAC, ACL, and policy evaluation is a plus Nice to have Hands-on experience with Identity & Authorization Experience with policy engines / policy-as-code Experience with API Gateway, Kubernetes, Service Mesh Neo4j OpenFGA SpiceDB OPA Redis Kafka Responsibilities Develop Authorization SDKs Evolve Policy APIs Create and maintain Authorization microservices Develop Identity services Implement RBAC, ReBAC, ACL, and policy evaluation Build graph relationships, permission inheritance, and delegated administration Build integrations with API Gateway, AI Gateway, Kubernetes, and Service Mesh Write automated tests, authorization regression suites, and performance tests We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Any questions? Natalya hh@itransition.com

Задачи: — проектировать и строить распределённую вычислительную платформу на ~1000 машин; — развивать инфраструктуру на Kubernetes / Nomad для запуска и управления ML workload'ами; — работать с GPU-кластерами и вычислительными ресурсами разных типов — GPU, CPU, MPS; — развивать распределённые вычисления на Ray и инфраструктуру для distributed training; — автоматизировать размещение и запуск задач, управление ресурсами и их загрузкой; — заниматься масштабированием, производительностью, отказоустойчивостью, CI/CD и мониторингом; — тесно работать с ML-командой над инфраструктурой для обучения и запуска нейросетей. Требования: — 3–5+ лет опыта в DevOps / MLOps / Platform Engineering; — уверенный Kubernetes и/или Nomad; — опыт работы с большими production-кластерами и распределёнными системами; — практический опыт с GPU-инфраструктурой; — понимание обучения нейросетей и distributed training; — опыт с Docker / Docker Registry, CI/CD, Linux, мониторингом; — опыт проектирования и создания инфраструктуры с нуля; — будет большим плюсом опыт с HPC, суперкомпьютерами, GPU-фермами, Ray и крупными вычислительными кластерами. Условия: — full-time

Задачи: — Проектировать, разрабатывать и обслуживать масштабируемые серверные системы для поддержки развертывания. — Создавать надежные и эффективные API в платформу GotIt. — Создавать системы хранения и поиска данных, оптимизированные для обработки больших объемов текстовых данных, необходимых для задач обучения и вывода. — Выявлять проблемные места в производительности и оптимизировать, повышая эффективность и оперативность серверных служб. — Внедрять передовые методы обеспечения безопасности для защиты конфиденциальных данных и обеспечения соответствия отраслевым стандартам и правилам. Требования: — Степень бакалавра или магистра в области компьютерных наук, инженерии или смежных областях. — Минимум 5 лет опыта в серверной разработке с упором на проектирование и внедрение масштабируемых систем. — Опыт серверной разработки на Kotlin, либо Java, но с переходом на Kotlin. — Знание английского языка. — Опыт работы с реляционными базами данных (PostgreSQL) и разработка эффективных моделей данных. — Опыт проектирования и разработки RESTful API и использования WebSocket. — Знание облачных платформ AWS, Azure или Google Cloud, опыт развертывания и управления серверными службами в облаке. — Понимание принципов DevOps и опыт работы с Docker, Kubernetes, CI/CD. — Знания в области машинного обучения, знакомство с TensorFlow, PyTorch является плюсом. — Опыт работы с технологиями и платформами обработки естественного языка (NLP). — Опыт работы в Agile. — Вклад в проекты с открытым исходным кодом или активное участие в технических сообществах. — Опыт работы с технологиями больших данных, такими как Apache Hadoop или Spark. Условия: — Частичная занятость. — Возможность присоединения к международной команде на постоянной основе на полный день. — Возможность стать руководителем направления. — Возможность путешествий/переезда в США.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Dev Environments team sits within DoorDash's Foundations group (Platform Engineering). We own the local and remote developer experience across the DoorDash group of companies supporting over 5000 engineers. Our mission is to enable engineering velocity, quality, and efficiency at significant scale by removing friction from the day-to-day developer loop: spinning up a working environment, getting code building, and getting feedback fast, whether the "developer" is a human or an AI agent. As a Staff Engineer on Dev Environments, you'll be recognised as an expert across the dev environments space, covering both local and remote dev flows, devcontainers, IDE/remote backends, and how they all fit together, including owning accountability for outcomes that span multiple teams. You'll set technical direction for the team's roadmap, unblock deep cross-cutting technical problems other engineers can't resolve alone, and mentor senior and mid-level engineers. You'll partner closely with engineering leadership across the group to translate ambiguous, company-wide developer-experience problems into a concrete, sequenced technical strategy. What You’ll Be Doing Technical direction Define the architecture for how thousands of engineers across DoorDash, Wolt, and Deliveroo actually develop and ship code: local and remote dev containers, remote IDE/VM lifecycle, and the full local-to-remote loop. Build monorepo dev tooling at scale. It's part of consolidating all the companies under DoorDash’s umbrella onto one global backend - you're setting the standard, not patching one org's tooling. Provision production-shaped environments in seconds, keep state in sync over the network, and make a remote machine feel local, reliably and cheaply, at thousands-of-concurrent-engineers scale. Expect to invent as much as you adopt: much of this is genuinely unsolved elsewhere in the industry. Design for AI agents as first-class consumers of the environment, not an afterthought: sandboxes that spin up on demand, run in parallel, and are safe to hand a real repo. Support agents launched from an IDE, a CLI, or a Slack message - with no laptop required to review and ship what the agent did. Collaboration & leadership Align teams that don't naturally sit adjacent to each other (e.g. Security, Infrastructure, Product Engineering) around unstructured, ambiguous problems where there's no existing playbook. Mentor engineers at all levels: run design reviews; raise the engineering bar through code review, pairing, and architectural guidance when appropriate. Help set the hiring bar: lead interview loops, help calibrate, and support onboarding of senior hires. What You’ll Need to Thrive Essential: A track record of shipping production systems and leading cross-team initiatives with group level impact - comfortable owning delivery end to end, from design through to production and adoption. Hands on fluency with the languages and tooling used to build developer tooling (e.g. Go, Python, TypeScript) and infrastructure-as-code (Terraform). Experience managing compute via Kubernetes (multi-tenant workload isolation, autoscaling ephemeral workloads, cost management), or lightweight VM/sandbox technology (e.g. Firecracker). Working knowledge of cloud networking, including securely and cost-effectively routing traffic across network boundaries (VPNs, service meshes, etc.) Experience integrating LLM/AI tooling into developer workflows - e.g. Claude Code - both locally, and remotely. Excellent written and verbal communication; able to influence senior stakeholders and align multiple non-adjacent teams without formal authority over them. Experience building close working relationships with the engineering teams who consume your platform, not just the platform team itself. Nice to have: Experience in developer platforms or adjacent infrastructure: devcontainers, remote development, remote IDE backends, or developer workstation tooling. Practical experience with JetBrains remote-backend flows, Codespaces/Codeserver-style products, or equivalent. Experience with remote build/execution systems (e.g. BuildBuddy), or large-scale build caching. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Software Engineer, Backend to join our London team. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. About the Team The Core BI team builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable and self-service. The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group. About the Role As a Software Engineer on the Core BI team, you will build and operate the backend services, APIs and infrastructure our BI platforms run on. This is a hands-on software and platform engineering role: services and integrations, identity and access automation, observability, reliability and developer experience. BI is the domain you serve (primarily Looker and Sigma, and the systems around them), but the problems are backend and platform problems. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you! You’re excited about this opportunity because you will… Design, build, test, deploy and operate the backend services, APIs and automation that the BI platforms across DoorDash, Deliveroo and Wolt depend on Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival and validation) so administration stops being manual work Build the integrations between BI platforms and the wider ecosystem: warehouses, identity providers, orchestration, CI/CD and internal developer tooling Improve the availability, observability, performance, scalability and security of the systems you own, and carry them in production Use AI tooling as part of how you engineer, and where it fits, build LLM-backed capabilities held to the same reliability and governance bar as anything else we ship Raise the engineering bar on the team, from service design and code review to testing, CI/CD and documentation, and improve the developer experience for everyone building on the platform We’re excited about you because… 3+ years of professional software engineering experience building and operating production backend, platform or infrastructure systems Readable, maintainable, well-tested code in Python, plus comfort with SQL and a working understanding of data modelling and warehousing concepts Experience building and owning APIs, integrations or automation in production, with sound judgement on service boundaries, authentication, data contracts and failure modes Hands-on with CI/CD, containers and Kubernetes, observability, debugging and incident response, and you expect to operate what you build Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) as part of how you engineer, and judgement about where they help and where they do not End-to-end ownership of ambiguous problems, clear communication with technical and non-technical teams, and comfort self-organising in a fast-paced, distributed environment Nice to Have Experience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbt Experience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms across brands and regions Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Bangalore, India 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. As a Staff Site Reliability Engineer (SRE) at GitLab, you’ll help keep all user-facing services and production systems reliable, scalable, and efficient. Our SREs combine a pragmatic operations mindset with strong software engineering practices to drive automation, reduce toil, and improve resilience across our platform. In the Environment Automation specialization, your focus is on operating and automating hundreds of GitLab environments—from initial provisioning to day-to-day maintenance tasks. Unlike other SRE roles, this position centers on automating the lifecycle of many tenant environments, ensuring they remain secure, consistent, and reliable at scale. Some examples of the projects you could work on: Designing infrastructure automation that provisions and operates GitLab environments using Terraform, Ansible, and Kubernetes Creating and maintaining deployment packages for GitLab, such as Helm Charts and omnibus-gitlab Building and operating Dedicated GitLab instances integrated with cloud-native services (e.g., GCP, AWS) Developing tools to orchestrate infrastructure-as-code workflows across multiple tenants Deploying and managing microservices on Kubernetes clusters at scale Enhancing GitLab’s observability stack (e.g., Prometheus, ELK) to support proactive monitoring and incident response Integrating with and operating infrastructure in cloud provider ecosystems (e.g., IAM, networking, storage) Championing and implementing cloud security best practices across automated infrastructure What You’ll Do Build & Scale Multi-Tenant Infrastructure: Design and implement automation that provisions and manages hundreds of isolated GitLab environments using Terraform, Ansible, and Kubernetes. Manage complex state strategies and workspace configurations to support scale and maintainability. Debug & Resolve Production Issues: Troubleshoot issues across Kubernetes clusters, cloud services, and GitLab apps—identifying root causes of failed deployments, crash loops, and scheduling conflicts to ensure service continuity. Automate Operations at Scale: Replace manual workflows with infrastructure-as-code solutions, including automated version upgrades, configuration rollouts, and provisioning pipelines that operate reliably across all tenants. Monitor & Predict Capacity: Build observability systems that detect bottlenecks, predict usage trends, and optimize resource consumption using tools like Prometheus, ELK, and Grafana. Respond & Lead During Incidents: Lead incident response and postmortem efforts, applying technical depth to resolve issues and establish operational standards that reduce future risk. Architect & Collaborate: Influence architectural decisions around automation, scalability, and operational excellence. Partner with engineering teams to improve automation, platform resilience, and production-readiness. On Call Support: Take part in on-call or operational support where your team’s ownership model requires it. What You’ll Bring Production-Scale Experience: Proven ability to operate and troubleshoot production workloads across multiple tenants or environments. Deep understanding of how distributed systems fail at scale and how to build in resilience. Terraform & IaC Mastery: Strong hands-on experience with Terraform, including workspace strategies, state management, and automation patterns that scale. Comfortable solving state isolation issues and building reliable, reusable infrastructure code. Experience with Ansible and templating tools like Jsonnet is a plus. Kubernetes in Production: Skilled at diagnosing deployment failures, interpreting pod logs, and debugging scheduling issues and rollback scenarios in live environments. Understands how pods, ReplicaSets, and controllers interact in production. Programming & Code Analysis: Ability to read and debug code in Go and/or Ruby. Familiar with identifying performance issues, scalability concerns, and contributing to infrastructure tooling through thoughtful code analysis. Large Scale Operations Background: Experience supporting infrastructure for many customers or environments simultaneously. Comfortable managing isolation, scaling, monitoring, and incident response across diverse workloads. Architecture & Incident Response: Able to reason through complex systems and operational challenges. Brings on-call experience and can lead technical discussions and incident resolution efforts under pressure. Customer-Focused Collaboration: Proven ability to work across teams and with internal or external customers to solve technical problems while maintaining service commitments and clear communication. GitLab Platform Proficiency: Comfortable using GitLab as a daily tool for infrastructure automation, collaboration, and operational workflows. About the team GitLab’s Dedicated team, where the SRE Environment Automation role sits, is on a mission to deliver a fully managed, single-tenant GitLab experience through the GitLab Dedicated platform. Our goal is to eliminate manual operations across the entire lifecycle of customer environments, including provisioning, upgrades, security, and monitoring, so customers can focus on unlocking the full potential of The One DevOps Platform without managing the underlying infrastructure. We build scalable, automated systems that ensure each GitLab Dedicated instance is secure, consistent, and production-ready—whether we're managing 10 environments or hundreds. 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 .

Задачи: — проектирование, масштабирование и автоматизация сред (Prod/Stage/Test) через IaC (Terraform, Ansible) — развитие и поддержка кластеров Kubernetes и Docker — развитие пайплайнов в GitLab CI/CD для ускорения доставки кода — развитие мониторинга, логов и алертинга (Grafana, Loki, Sentry) — расследование production-сбоев, разбор причин, повышение отказоустойчивости — внедрение DevOps-стандартов, инфраструктурное ревью, помощь разработчикам Требования: — опыт от 4 лет в DevOps/SRE, опыт в качестве Team lead — уверенный Linux, Docker, Kubernetes — практический опыт с GitLab CI, Terraform и Ansible — опыт работы со связкой Grafana, Loki, Sentry — умение расследовать инциденты и выстраивать отказоустойчивую архитектуру Будет плюсом: — опыт в Highload / Fintech проектах — знание практик SRE (SLI/SLO, error budget) — знание Python, Go или Bash Условия: — официальное оформление по ТК РФ, полностью «белая» зарплата — IT-аккредитация (право на IT-ипотеку и отсрочку) — ДМС после испытательного срока — гибридный формат работы (3 дня в офисе, 2 — удалённо) — возможность собрать команду под себя, влиять на технические решения и развитие инфраструктуры

Задачи: — Создание и развитие IT решения в рамках команды, сосредоточенной на выделенном проекте. — Реализация интеграционных решений и сервисов взаимодействия между внутренними и внешними системами. — Разработка и поддержка backend и frontend части продукта, активное участие в Fullstack-цикле. — Участие в выработке новых решений и вектора развития продукта, включая выбор оптимальных технологических стеков. Требования: — Высшее техническое образование. — Опыт работы ведущим разработчиком (и выше) от 3-х лет. — Опыт работы в Fullstack-роли (C# + React) приветствуется. Технические навыки: Backend (C# / .NET): уверенное знание C# dotnet ASP .NET Core, gRPC, EF Core; ООП, SOLID, паттерны проектирования; знание DDD, Onion/Clean/Vertical Slice архитектур, SOA, CQRS; опыт разработки микросервисной архитектуры. Интеграции и API: опыт работы с REST API/gRPC; знание архитектуры REST API/gRPC/Web сервисов; опыт проработки архитектуры комплексных интеграционных решений. Событийные архитектуры и брокеры сообщений: опыт работы с событийными архитектурами и брокерами сообщений; приветствуется опыт работы с библиотекой Rebus. Базы данных: понимание архитектуры реляционных и векторных СУБД, опыт проектирования логической модели данных; уверенное знание T-SQL, опыт работы с MSSQL и PostgreSQL. Frontend (React): опыт коммерческой разработки на React не менее 1 года; понимание современных подходов React (Hooks, Context, Suspense, React Query); приветствуется опыт работы с Module Federation для микрофронтендов; опыт использования UI-китов (Material-UI, Ant Design и аналоги) и кастомизации компонентов; знание стейт-менеджеров (Redux Toolkit, Zustand, MobX); опыт работы с TypeScript. Контейнеризация и DevOps: опыт работы с Kubernetes, OpenShift, Docker; опыт построения мониторинга с Grafana stack/Otel; опыт работы с CI/CD процессами. Методологии и инструменты: приветствуется опыт использования ИИ-инструментов, Spec-Driven Development, AI-агентов; ведение процесса с Jira, Confluence, GitLab; работа по Agile/Scrum. Условия: — Удалённый формат работы с возможностью гибрида в офисе в Москве. — Гражданство РФ. — Полная занятость, любой вид оформления (ТК РФ, ТД в приоритете).

Задачи: — Разработка и поддержка backend-сервисов на Go; — Развитие микросервисной архитектуры и REST/gRPC API; — Работа с PostgreSQL, Redis и очередями сообщений; — Разработка асинхронных процессов и интеграций; — Написание тестов и участие в code review; — Обеспечение надежности сервисов и разбор production-инцидентов. Требования: — Опыт в blockchain / crypto; — Опыт работы с финансовыми транзакциями, балансами, ledger или billing; — Опыт разработки wallet и deposit/withdrawal-сервисов; — Знание OpenTelemetry, Prometheus, Grafana и других observability-инструментов; — Понимание AML/KYC, PCI DSS или GDPR; — Коммерческий опыт разработки на Go — от 3 лет; — Опыт разработки и поддержки production backend-сервисов; — Понимание микросервисной архитектуры; — Опыт работы с PostgreSQL, Redis и Kafka / RabbitMQ / NATS или аналогами; — Понимание транзакционности, идемпотентности и конкурентного доступа; — Опыт написания тестов и работы с Docker; — Базовое понимание Kubernetes; — Знание HTTP, TLS, JWT/OAuth2, authentication/authorization; — Умение писать читаемый, поддерживаемый и безопасный код. Условия: — Гибридный формат работы в Минске; — Полная занятость; — Оформление напрямую в штат; — Долгосрочный проект.

Location: Paris; San Francisco ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture. In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale. This is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus.     KEY RESPONSIBILITIES FIRST CUSTOMER’S POINT OF CONTACT - Act as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries. - Triage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution. - Gather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently. - Provide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable.     TECHNICAL SUPPORT - Serve as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for: - GPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures). - Kubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations). - Bare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters). - Diagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems. - Analyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues. - Participate in on-call rotations to provide 24/7 support for critical compute systems - Nice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads.     KUBERNETES & CONTAINERIZATION - Debug Kubernetes clusters with a focus on: - Pod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff). - Networking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses). - Resource management (e.g., Requests/Limits, QOS classes, node affinity). - Troubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors. - Collaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling.     DOCUMENTATION & PROCESS IMPROVEMENT - Create and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting). - Contribute to post-mortems with actionable follow-ups to prevent recurring incidents. - Train internal teams on best practices for compute infrastructure and debugging. - Help define and refine support processes as a founding member of the new Compute Support team. What We’re Looking For REQUIRED SKILLS & EXPERIENCE - 5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization). - Deep Linux/Unix expertise: - Debugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling). - Performance tuning (e.g., sysctl, ulimit, filesystem optimizations). - Networking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH). - Storage management (e.g., LVM, RAID, NVMe, GPU-local storage). - Hands-on Kubernetes experience is mandatory: - Debugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl). - Networking and storage (e.g., CNI plugins, PersistentVolumes). - Resource management (e.g., Requests/Limits, QOS classes). - Familiarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry). - Basic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks). - Experience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus. - Excellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders. - Customer-focused mindset with a passion for resolving issues efficiently and improving system reliability. - Ability to work in on-call rotations and handle high-pressure situations with a structured, calm approach. - Commitment to meeting tight SLAs for issue acknowledgment, triage, and first response. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Belgrade; London; Remote; Berlin Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. Responsibilities - Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing with YT systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Knowledge of Data processing systems (YT/Kafka/Hadoop) - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Nice to have - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure