Задачи:
— Администрирование, конфигурация, оптимизация и поддержка платформы Databricks.
— Управление рабочими пространствами Databricks в средах разработки, тестирования и продакшена.
— Конфигурация и управление кластерами, пулами, заданиями и рабочими процессами для поддержки ETL, потоковых и ML задач.
— Мониторинг состояния платформы, емкости и производительности, проактивное выявление и устранение проблем.
— Управление версиями Databricks runtime, библиотеками и интеграциями с облачным хранилищем и сервисами данных.
— Реализация и поддержка процедур резервного копирования, восстановления и обеспечения непрерывности бизнеса.
— Настройка и поддержка управления идентификацией и доступом (IAM) в Databricks.
— Внедрение и соблюдение лучших практик безопасности, включая шифрование, сетевой контроль и политики доступа к данным.
— Сотрудничество с командами безопасности и соответствия для соблюдения организационных и нормативных требований.
— Поддержка стандартов управления данными (например, Unity Catalog).
— Оптимизация конфигураций кластеров, автоскейлинга и планирования заданий для баланса производительности и затрат.
— Анализ метрик использования и затрат, внедрение стратегий контроля затрат.
— Рекомендации и реализация стратегий настройки и оптимизации платформы для больших данных.
— Взаимодействие с инженерами данных, аналитиками и дата-сайентистами для понимания требований и рекомендаций по использованию Databricks.
— Предоставление поддержки уровня Tier 2/3 по инцидентам и запросам, связанным с Databricks.
— Разработка и поддержка документации, инструкций и стандартных операционных процедур.
— Проведение обучения пользователей и обмен знаниями по возможностям и лучшим практикам Databricks.
— Автоматизация развертывания рабочих пространств и кластеров, конфигураций и политик с использованием Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation).
— Интеграция Databricks с CI/CD пайплайнами для развертывания кода и управления средами.
— Поддержка лучших практик контроля версий для ноутбуков, заданий и конфигураций.
Требования:
— Высшее образование в области компьютерных наук, информационных систем, инженерии или смежных областях либо дополнительный опыт работы 4 года при отсутствии диплома.
— Опыт работы не менее 8 лет в администрировании облачных платформ данных или сред больших данных.
— Практический опыт администрирования Databricks (Azure, AWS или GCP Databricks).
— Глубокое понимание рабочих пространств, кластеров, заданий, пулов и ноутбуков Databricks.
— Знание облачных хранилищ (Azure Data Lake Storage, S3, GCS) и сетевых концепций.
— Опыт управления идентификацией и доступом в соответствующем облачном провайдере (Azure AD, IAM и др.).
— Навыки скриптинга и автоматизации (Python, PowerShell, Bash).
— Знакомство с концепциями Spark (кластеры, исполнители, задания, партиции) и вопросами производительности.
— Опыт мониторинга и устранения проблем с производительностью и надежностью платформы.
— Сильные аналитические и проблемно-ориентированные навыки.
— Умение объяснять сложные технические концепции технической и нетехнической аудитории.
— Ориентация на клиента и качество сервиса.
— Способность работать самостоятельно и в команде в динамичной agile-среде.
Желательные квалификации:
— Сертификация Databricks (например, Databricks Certified Data Engineer Associate/Professional, Lakehouse Fundamentals, Administrator).
— Опыт работы с Unity Catalog и тонкой настройкой доступа к данным.
— Опыт работы с CI/CD инструментами (Azure DevOps, GitHub Actions, Jenkins).
— Опыт работы с Infrastructure as Code (предпочтительно Terraform).
— Опыт работы с инструментами агрегации логов и мониторинга (Azure Monitor, CloudWatch, Datadog, Splunk).
— Знание Delta Lake, структурированного стриминга и архитектур Lakehouse.
— Опыт работы в корпоративных средах с высокими требованиями к безопасности и соответствию.
Условия:
— Удаленная работа из любой точки.
— Полная занятость, 40 часов в неделю.
— Требуется получение и поддержание уровня безопасности Public Trust с обязательной процедурой снятия отпечатков пальцев.
— Требования к резидентству в США: проживание в США или территориях последние 5 лет с ограничениями на время отсутствия.
— Конкурентная зарплата в диапазоне $10,669 – $14,435 в месяц ($128,039 - $173,229 в год), зависит от опыта и местоположения.
— Пакет социальных льгот, включая медицинское страхование, 401(k) с компанией-матчем, оплачиваемый отпуск и другие выплаты.
— Гибкий график работы и поддержка баланса работы и личной жизни.
— Процесс верификации личности с использованием биометрии и ИИ для предотвращения мошенничества.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
About the Role
Location: Bengaluru (Hybrid mode)
Exp: 3-15yrs
We are looking for a Software Engineer to design, build, and scale internal platforms and software tools that power our infrastructure operations. You will treat operational challenges as software problems, developing clean services and developer platforms that make managing our global infrastructure reliable, fast, and effortless.
Responsibilities
Build Infrastructure Software:
Architect, write, and maintain scalable services, APIs, and tools that automate infrastructure provisioning, configuration, and runtime operations.
Streamline Developer Workflows:
Develop platform software and self-service tools that reduce operational toil, enabling engineering teams to deploy and manage resources safely and efficiently.
Drive Engineering Best Practices:
Apply standard software engineering practices—including modular design, code reviews, automated testing, and CI/CD—to infrastructure codebases and tooling.
Ensure System Reliability:
Write observability frameworks, automated testing pipelines, and self-healing tools to maintain high availability and proactively catch operational failures.
Collaborate Cross-Functionally:
Partner closely with Security, Systems, and Product Engineering teams to integrate infrastructure software seamlessly across the application lifecycle.
Desirable Skills, Knowledge, and Experience
Demonstrable experience as a Software Engineer building production software, with an emphasis on backend systems, APIs, or developer platform tools.
Strong proficiency in modern programming languages (e.g., Go, Python, Java, or Rust) with a track record of writing clean, testable, and maintainable code.
Solid understanding of software design patterns, API architecture (REST, gRPC), and data structures applied to operational tooling.
Hands-on experience with Infrastructure as Code frameworks (e.g., Terraform, Ansible) and programmatically interacting with infrastructure APIs.
Strong analytical, debugging, and system troubleshooting skills to diagnose issues across both application logic and underlying infrastructure.
Bonus Points
Experience writing software that interacts with cloud providers (AWS, GCP, or Azure) or container orchestration platforms (Kubernetes, Docker).
Familiarity with building robust CI/CD systems, automated integration testing, or continuous deployment tooling.
Active contributions to open-source developer tools, CLI applications, or infrastructure platforms.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Remote - Bulgaria; Sofia, Bulgaria - Office
About MariaDB
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
The Role
You will be responsible for the development and testing of a highly scalable, geo-distributed, highly performant database solution. You should have experience working on distributed software solutions and have a strong background working with on-premise and cloud-based solutions. You will also be responsible for managing a number of Software Engineers on the project.
Java Senior Software Engineer
Here at MariaDB, we are seeking a highly motivated and experienced
Java Senior Software Engineer
to lead the development of our highly scalable, geo-distributed, and highly performant database solution. This role requires a strong background in distributed software solutions, experience with both on-premise and cloud-based environments, and proven leadership abilities. You’ll be joining a small, highly skilled team where your work will have a direct impact. Expect to dig deep into replication, sharding, concurrency, and performance optimization—making our systems faster, smarter, and more resilient. You’ll collaborate globally, contribute to open source, and push the limits of what a distributed database can do.
What You’ll Do
Ensure the scalability, performance, and reliability of the database system.
Collaborate with cross-functional teams to define, design, and ship new features.
Troubleshoot and resolve complex issues in distributed environments.
Profile, debug, and fine-tune performance with tools like JFR, JMC, async-profiler and VisualVM—and your own tricks.
Keep code clean and reviewable with Git.
Develop and optimize the data structures for providing the best experience accessing data in high data-intensive scenarios.
Implement the best way to store data to disk and send data over the network to other nodes (including failure handling and recovery after failures).
Implement and integrate algorithms for high availability of the whole cluster.
Investigate flaws in data consistency algorithms, which may require thorough debugging either on multi-node clusters and in low-level byte-represented data.
What You Bring
4+ years of experience in Java programming.
Deep knowledge of concurrency in Java and Java Memory Model and/or of concurrency model in other programming systems.
Excellent Java SE knowledge including IO, JVM internals, etc.
Experience with SQL databases.
Experience in troubleshooting Java applications and/or databases.
Excellent leadership, problem-solving, and debugging skills.
Experience working effectively in fast-paced, collaborative environments.
Deep SQL knowledge (MariaDB/MySQL/PostgreSQL/Apache Ignite/GridGain) and passion for distributed systems (Raft, MVCC, ACID, etc).
Understands MVCC and P2PL, and the difference between Snapshot Isolation and REPEATABLE READ.
The following may be a strong plus:
Experience with NoSQL and/or distributed databases.
Experience with building highload distributed systems and algorithms.
Experience with Docker, Kubernetes and/or public Cloud (AWS, GCE, Azure, etc.)
Open-source contributions, automation expertise, or performance/load testing.
Active use of AI.
Location
Hybrid / Remote – Bulgaria
Remote – Croatia, Estonia, Finland, Italy, Poland, Romania, Serbia, Spain, Armenia, Cyprus.
Why You’ll Love It Here
A globally distributed team where your work is tangible, valuable and appreciated.
Remote or Hybrid work options (location dependent)
Projects that stretch your skills and make an impact at scale.
Competitive pay, 25 days paid annual leave (plus holidays), and a culture that values creativity and clean engineering.
Compensation
Salary Range
: €74,200 - €90,000 per year (gross)
Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
MariaDB does not sponsor work visas or relocation.
MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Задачи:
— Управление доставкой услуг по портфелю разнообразных клиентов/аккаунтов.
— Работа с клиентами по установке, конфигурации и внедрению приобретённых продуктов и технологий.
— Партнёрство с клиентами для быстрого понимания функционала продукта и оптимизации выгод.
— Обеспечение клиентов процессами, техническими и экспертными консультациями на ранних этапах внедрения.
— Ведение федеральных проектов с соблюдением моделей доставки CPS, процессов, методологий и стандартов безопасности (FedRAMP, FISMA, GovCloud).
— Построение отношений с руководителями клиентов, партнёрами и интеграторами для успешной реализации.
— Соотнесение возможностей продуктов Collibra с кейсами клиентов.
— Помощь клиентам в уточнении бизнес-целей и разработке решений с использованием продуктов Collibra.
— Разработка планов проектов на основе CPS Account Plan и инициатив клиентов.
— Помощь клиентам в понимании их проблем и вызовов.
— Содействие Solution Architect в сборе требований и предложении дополнительного функционала.
— Предоставление федеральным агентствам адаптированных стратегий управления данными с лучшими практиками.
— Эффективное информирование клиентов и заинтересованных сторон о статусе проектов.
— Управление эскалациями, рисками, проблемами и изменениями в проектах.
— Выявление и продвижение ценности и измеримых результатов в проектах.
— Выступление доверенным советником и связующим звеном между внутренними командами и клиентами.
— Взаимодействие с отделами продаж, инженерии, продукта, поддержки и руководством для согласования приоритетов.
— Понимание платформы Collibra, операционной модели, рабочих процессов и интеграций.
— Помощь в адаптации новых членов команды.
— Консультирование по продуктам, решениям и процессам.
— Обучение членов команды в ходе доставки услуг.
— Совместная работа с руководством для улучшения процессов вовлечения и доставки.
— Выявление возможностей расширения использования продуктов Collibra в клиентах.
— Вклад в рост бизнеса CPS через расширение аккаунтов, стратегическое планирование и клиентскую поддержку.
— Помощь клиентам в понимании дополнительных технологий и функций для увеличения ценности.
Требования:
— Гражданство США и проживание на территории США.
— Опыт управления проектами услуг не менее 5 лет в поддержку федеральных агентств США.
— Знания в области управления данными, качества данных или управления данными.
— Активный уровень допуска безопасности (Secret/TS/TS-SCI).
— Знание минимум двух-трёх областей: процессы управления данными, управление данными, мастер-данные, каталогизация данных, управление бизнес-правилами.
— Понимание ведущих PaaS провайдеров, Data Lakes, баз данных и интеграционных платформ, используемых федеральными агентствами.
— Опыт работы с AWS, Azure, Kubernetes, инфраструктурой и платформами.
— Понимание API через Java, Python или аналогичные скриптовые языки для кастомных решений в Enterprise Linux или Unix.
— Знание хранилищ данных, ETL и интеграции данных.
Условия:
— Стандартный базовый оклад от $96,000 до $120,000 в год.
— Возможность дополнительной комиссионной оплаты.
— Конкурентный пакет вознаграждений, включая бонусы, акции, ежемесячный Flex Fund, пенсионные планы 401k и другие преимущества.
— Гибкая программа льгот, поддерживающая разнообразные жизненные ситуации.
— Политика равных возможностей и инклюзивности в компании.
Контакты для отклика отсутствуют в тексте.
Задачи:
— Служить стратегическим партнёром и менеджером по взаимоотношениям для федеральных клиентов Collibra Public Sector.
— Обеспечивать удовлетворённость клиентов, стимулировать использование и приносить ценность от решений Collibra.
— Сотрудничать с командами сервисов и продаж для создания бесшовного клиентского опыта.
— Координировать техническую команду для успешной реализации, внедрения и получения ценности.
— Партнёрство с продажами, сервисами, поддержкой, инженерией и продуктовой командой для защиты здоровья аккаунта, дохода и удовлетворённости клиентов.
— Проактивно выявлять и снижать риски, предотвращать и управлять эскалациями, оценивать состояние клиентов.
Обязанности:
— Управление отношениями: быть основным контактом для федеральных аккаунтов, строить доверительные отношения с ключевыми заинтересованными сторонами, системными интеграторами и партнёрами.
— Понимать бизнес-цели клиентов, технические потребности и критерии успеха, согласовывать услуги Collibra с их целями.
— Поддержка продлений и расширений, демонстрируя техническую ценность и лучшие практики.
— Поддержка внедрения, обновлений и операций, координация технических обсуждений и архитектурных обзоров.
— Планирование и управление проектами: координация поддержки, сервисов и инженерии, обеспечение успешного выполнения проектов в срок и в рамках бюджета.
— Оценка здоровья аккаунта и предотвращение рисков: выявление ключевых индикаторов риска, сотрудничество с продажами и техническими командами.
— Управление эскалациями: быть контактным лицом для разрешения проблем, предоставлять обратную связь продуктовой команде.
Требования:
— Опыт не менее 5 лет в технической клиентской роли (TAM, Solutions Engineer, Systems Engineer или аналогичной).
— Опыт поддержки федеральных клиентов США (гражданские, DoD, IC).
— Понимание корпоративного программного обеспечения, SaaS или облачных решений.
— Умение объяснять сложные технические концепции технической и нетехнической аудитории.
— Опыт работы в регулируемых или высокозащищённых средах.
— Отличные коммуникативные, организационные и навыки управления заинтересованными сторонами.
— Знание и опыт развертывания корпоративных решений.
— Знание иерархии и операций правительства.
— Знакомство с нормативными требованиями, такими как FedRAMP, NIST 800-53.
— Опыт работы с облачными платформами AWS, Azure или GCP, особенно GovCloud или эквивалент.
— Опыт работы с системными интеграторами.
— Технический опыт в управлении данными.
— Активный или имеющий право на получение допуска безопасности США.
— Требование гражданства США и проживания на территории США.
Условия:
— Зарплата от $104,000 до $130,000 в год без дополнительной комиссионной оплаты.
— Конкурентный пакет вознаграждений, включая бонусы, акции, ежемесячный фонд гибкости, пенсионные планы 401k и другие преимущества.
— Гибкая программа льгот, поддержка разнообразных жизненных обстоятельств.
— Политика равных возможностей и инклюзивности.
Меры успеха:
— В первые 30 дней: понять цели клиентов, выявить риски, участвовать в командных встречах.
— В первые 60 дней: разработать план успеха и план устранения рисков, участвовать в командных встречах.
— В первые 90 дней: начать реализацию планов, вести командные встречи, развивать отношения с ключевыми контактами.
Location: United Kingdom (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In the United Kingdom, the Base compensation range for this role is GBP
103,958
- GBP
124,750
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Germany (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Germany, the Base compensation range for this role is EUR
100,000
- EUR
125,000
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Republic of Ireland (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In the Republic of Ireland, the Base compensation range for this role is EUR
107,000
- EUR
134,000
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Sweden (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Sweden, the Base compensation range for this role is SEK
878,578
- SEK
1,054,294
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Spain (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Spain, the Base compensation range for this role is EUR
94,025
- EUR
112,830
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Задачи:
— Разрабатывать и поддерживать интеграции с платёжными и финансовыми сервисами (REST / SOAP API, OAuth, API-key / Bearer);
— Подключать новых провайдеров, валюты и страны, развивать pay-in / pay-out flows;
— Проектировать и реализовывать REST API на Node.js + TypeScript + Express;
— Реализовывать webhooks: signature / HMAC verification, idempotency, deduplication, retries;
— Разбираться с проблемами интеграций (таймауты, частичные отказы, нестабильность API);
— Работать с NoSQL: моделирование данных, индексы, транзакции;
— Поддерживать KYC / AML интеграции;
— Писать unit / integration tests и участвовать в code review;
— Деплоить и поддерживать сервисы в облаке, разбирать production-инциденты.
Требования:
— Опыт коммерческой разработки на Node.js + TypeScript от 3 лет;
— Практический опыт в Fintech / Payments / Banking / payment-heavy e-commerce от 1 года;
— Опыт разработки и поддержки интеграций с внешними API (REST и SOAP);
— Уверенное понимание HTTP / HTTPS, REST API, webhooks, authentication и status codes;
— Практический опыт с idempotency, retries, deduplication и HMAC / signature verification;
— Опыт работы с NoSQL;
— Понимание денежных расчётов и проблем floating point (опыт с BigNumber / Decimal или аналогами);
— Опыт работы с Docker и деплоя backend-сервисов в GCP / AWS / Azure.
Будет плюсом:
— Интеграции с международными платёжными, крипто- или KYC-провайдерами;
— Практическое знание AML / KYC, 3DS 2.0, chargebacks, reversals;
— Опыт работы с несколькими провайдерами и fallback / routing logic;
— Опыт работы с микросервисной архитектурой, очередями, contract testing;
— Базовый React (чтобы при необходимости читать/менять существующий код);
— Использование AI-инструментов для разработки.
Удалённо💻 Формат работы: Удаленка из любой точки мира (по времени GMT+3)
Location: India
Job Overview
We are seeking an experienced
AI Solution Architect
to design and lead end-to-end enterprise AI Factory and GPU infrastructure solutions spanning compute, high-performance networking, storage, Kubernetes, cloud, and AI/ML platforms. The role requires strong expertise in
NVIDIA GPU technologies, AI workloads, scalable infrastructure architecture, security, observability, performance engineering, and capacity planning
.
Key Responsibilities
Own end-to-end architecture for AI Factory and enterprise AI solutions from requirements through production readiness.
Assess AI/ML workload requirements for training, fine-tuning, inference, batch processing, and high-performance computing.
Design GPU compute architectures including NVIDIA HGX/DGX/OEM platforms, multi-GPU systems, NVLink/NVSwitch, and GPU resource allocation.
Design high-performance AI networking using 100/200/400/800G Ethernet, EVPN/VXLAN, and leaf-spine architectures.
Design AI storage and data architectures using object storage, parallel file systems like Ceph, WEKA, , or equivalent platforms.
Define AI platform architecture across Kubernetes, HPC, container runtimes, model-serving platforms, and enterprise AI frameworks.
Establish architecture standards for security, identity, tenant isolation, data protection, observability, disaster recovery, and operational resilience.
Develop reference architectures, high-level/low-level designs, capacity models, bills of materials, technology evaluations, and implementation roadmaps.
Lead technical evaluations, proof-of-concepts, vendor assessments, and architecture review boards.
Collaborate with infrastructure, network, security, storage, cloud, data, application, and operations teams.
Define performance, availability, scalability, security, and cost objectives and validate architecture against measurable acceptance criteria.
Provide technical leadership during deployment, migration, integration, troubleshooting, and production transition.
•
Required Technical Skills
AI / ML Architecture
• NVIDIA AI Enterprise, NGC, CUDA, NCCL, DCGM, GPU Operator and AI platform ecosystem.
• PyTorch, TensorFlow, JAX and operational understanding of training and inference workloads.
• GPU scheduling, multi-tenancy, MIG/vGPU, GPU utilization and workload placement.
• LLM, generative AI, RAG, fine-tuning, model serving and inference architecture.
GPU & AI Factory Infrastructure
• NVIDIA A100/H100/H200/B200 or equivalent GPU platforms; familiarity with next-generation systems.
• NVLink, NVSwitch, PCIe topology and multi-GPU performance architecture.
• DGX/HGX/OEM GPU server architecture and lifecycle management.
• AI Factory capacity planning, rack density, power, cooling, commissioning and lifecycle strategy.
High-Performance Networking
• 100/200/400/800G Ethernet, InfiniBand, RoCEv2 and RDMA, Netris
• NVIDIA ConnectX/SuperNIC, Spectrum/Spectrum-X, Quantum and BlueField DPU technologies.
• BGP, EVPN/VXLAN, VRF, ECMP, VLAN, MTU, PFC, ECN, QoS and congestion management.
• GPU east-west traffic, GPUDirect RDMA and network performance troubleshooting.
AI Storage & Data Architecture
• Parallel file systems, object storage, NFS, NVMe/NVMe-oF and high-throughput data pipelines.
• Ceph, WEKA, VAST, Dell PowerScale, Pure FlashBlade, NetApp or equivalent technologies.
• Data lake/lakehouse concepts, metadata, lineage, data movement and data lifecycle.
• GPUDirect Storage and storage/network performance optimization.
AI Platform & Orchestration
• Kubernetes, GPU Operator, container runtimes and Kubernetes GPU scheduling.
• HPC or other equivalent workload schedulers.
• Model serving/inference platforms and MLOps platform architecture.
• API gateways, service discovery, secrets management and platform integration.
Cloud & Hybrid Architecture
• AWS and/or Azure AI infrastructure and security services.
• Hybrid cloud connectivity, IAM, private networking, cloud storage and workload placement.
• Cloud cost optimization, capacity planning and FinOps considerations for GPU workloads.
Security & Governance
• Zero Trust, network segmentation, IAM/RBAC, PAM and workload identity.
• GPU, DPU, container, Kubernetes, firmware and supply-chain security.
• Encryption at rest/in transit, secrets management, audit logging and compliance controls.
• AI-specific risks including data/model protection, tenant isolation and secure model access.
Observability & Reliability
• Prometheus, Grafana, OpenTelemetry, NVIDIA DCGM and infrastructure telemetry.
• Monitoring across GPU, CPU, memory, network, storage, power and thermal domains.
• High availability, backup/restore, disaster recovery, business continuity and failure-domain design.
• Performance engineering, bottleneck analysis, SLO/SLA design and capacity forecasting.
Architecture Deliverables
• AI Factory reference architecture and solution blueprints
• High-Level Design (HLD) and Low-Level Design (LLD)
• Network, compute, GPU and storage architecture diagrams
• Capacity, performance and scalability models
• Technology evaluation and vendor comparison documents
• Security architecture and threat-model inputs
• Bill of Materials (BOM) and infrastructure sizing
• Migration/deployment strategy and implementation roadmap
• Operational readiness checklist, runbooks and acceptance criteria
Experience & Qualifications
• 10+ years of infrastructure, cloud, enterprise architecture or solution architecture experience, with significant AI/GPU infrastructure exposure.
• Proven experience designing large-scale enterprise platforms and translating business requirements into technical architectures.
• Hands-on understanding of physical infrastructure, GPU systems, networking, storage and Linux platforms.
• Bachelor's degree in Computer Science, Engineering, Information Technology or related field preferred.
Preferred Certifications
• NVIDIA certifications or equivalent GPU/AI infrastructure credentials
• AWS Solutions Architect / Azure Solutions Architect
• TOGAF or equivalent enterprise architecture certification
• CCNP/CCIE or equivalent networking certification
• CISSP or equivalent security certification
• Kubernetes certifications such as CKA/CKAD
• Red Hat / Linux certifications
Location: India
Job Overview
We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations.
The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms.
Key Responsibilities
Design, deploy, and manage enterprise network security solutions
Configure and administer Fortinet, SonicWall, and Palo Alto firewalls
Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies
Monitor security events using SIEM, XDR, and SOC monitoring platforms
Investigate security incidents, perform threat analysis, and support incident response activities
Manage firewall policies, security rules, and compliance controls
Implement Zero Trust Network Access (ZTNA) and identity-based security controls
Support cloud security initiatives across AWS, Azure, and hybrid infrastructure
Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions
Conduct vulnerability assessments and remediation activities
Collaborate with infrastructure, cloud, and application teams to secure enterprise environments
Maintain security documentation, diagrams, SOPs, and audit records
Participate in on-call rotations and critical incident handling
GPU East-West and North-South traffic control and security
AI networking and security integration expertise
Understanding of AI infrastructure design and reference architectures
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Compliance with industry frameworks and standards such as NIST, ISO, etc.
Required Skills & Technologies
Firewall & Network Security
Fortinet FortiGate
SonicWall
Palo Alto Networks
Check Point (preferred)
Cisco Firepower / ASA
VPN Technologies (IPSec / SSL VPN)
IDS/IPS
Web Application Firewall (WAF)
NAC (Network Access Control)
Modern Security Technologies
Zero Trust Architecture (ZTA)
ZTNA (Zero Trust Network Access)
SASE (Secure Access Service Edge)
SD-WAN Security
SSE (Security Service Edge)
CASB (Cloud Access Security Broker)
Micro-segmentation
Secure Remote Access Solutions
SIEM, SOC & Threat Detection
Experience with one or more:
Splunk
QRadar
Microsoft Sentinel
LogRhythm
ArcSight
Elastic SIEM
Knowledge of:
SOC operations
Threat hunting
Log correlation
MITRE ATT&CK framework
Incident response
Threat intelligence integration
Cloud & Infrastructure Security
AWS Security
Microsoft Azure Security
Hybrid cloud networking
Cloud firewall management
Security Groups / NSGs
Identity & Access Management (IAM)
Endpoint & Advanced Security
EDR/XDR platforms
CrowdStrike
Microsoft Defender
SentinelOne
Endpoint hardening
DLP (Data Loss Prevention)
Email security solutions
Networking Fundamentals
Strong understanding of:
TCP/IP
Routing & Switching
VLANs
BGP / OSPF
DNS / DHCP
Load Balancing
Network troubleshooting
Automation & Scripting (Preferred)
Python
PowerShell
Bash scripting
Security automation
SOAR platforms
Preferred Certifications
Fortinet NSE / FCP
Palo Alto PCNSA / PCNSE
CCNP Security
CISSP
CEH
CompTIA Security+
Microsoft SC Certifications
AWS Security Specialty
Education
Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred.
Soft Skills
Strong analytical and troubleshooting skills
Ability to work in high-pressure environments
Excellent communication and stakeholder management
Strong documentation and reporting abilities
Proactive mindset with focus on continuous improvement
Location: Malaysia
Job Overview
We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations.
The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms.
Key Responsibilities
Design, deploy, and manage enterprise network security solutions
Configure and administer Fortinet, SonicWall, and Palo Alto firewalls
Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies
Monitor security events using SIEM, XDR, and SOC monitoring platforms
Investigate security incidents, perform threat analysis, and support incident response activities
Manage firewall policies, security rules, and compliance controls
Implement Zero Trust Network Access (ZTNA) and identity-based security controls
Support cloud security initiatives across AWS, Azure, and hybrid infrastructure
Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions
Conduct vulnerability assessments and remediation activities
Collaborate with infrastructure, cloud, and application teams to secure enterprise environments
Maintain security documentation, diagrams, SOPs, and audit records
Participate in on-call rotations and critical incident handling
GPU East-West and North-South traffic control and security
AI networking and security integration expertise
Understanding of AI infrastructure design and reference architectures
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Compliance with industry frameworks and standards such as NIST, ISO, etc.
Required Skills & Technologies
Firewall & Network Security
Fortinet FortiGate
SonicWall
Palo Alto Networks
Check Point (preferred)
Cisco Firepower / ASA
VPN Technologies (IPSec / SSL VPN)
IDS/IPS
Web Application Firewall (WAF)
NAC (Network Access Control)
Modern Security Technologies
Zero Trust Architecture (ZTA)
ZTNA (Zero Trust Network Access)
SASE (Secure Access Service Edge)
SD-WAN Security
SSE (Security Service Edge)
CASB (Cloud Access Security Broker)
Micro-segmentation
Secure Remote Access Solutions
SIEM, SOC & Threat Detection
Experience with one or more:
Splunk
QRadar
Microsoft Sentinel
LogRhythm
ArcSight
Elastic SIEM
Knowledge of:
SOC operations
Threat hunting
Log correlation
MITRE ATT&CK framework
Incident response
Threat intelligence integration
Cloud & Infrastructure Security
AWS Security
Microsoft Azure Security
Hybrid cloud networking
Cloud firewall management
Security Groups / NSGs
Identity & Access Management (IAM)
Endpoint & Advanced Security
EDR/XDR platforms
CrowdStrike
Microsoft Defender
SentinelOne
Endpoint hardening
DLP (Data Loss Prevention)
Email security solutions
Networking Fundamentals
Strong understanding of:
TCP/IP
Routing & Switching
VLANs
BGP / OSPF
DNS / DHCP
Load Balancing
Network troubleshooting
Automation & Scripting (Preferred)
Python
PowerShell
Bash scripting
Security automation
SOAR platforms
Preferred Certifications
Fortinet NSE / FCP
Palo Alto PCNSA / PCNSE
CCNP Security
CISSP
CEH
CompTIA Security+
Microsoft SC Certifications
AWS Security Specialty
Education
Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred.
Soft Skills
Strong analytical and troubleshooting skills
Ability to work in high-pressure environments
Excellent communication and stakeholder management
Strong documentation and reporting abilities
Proactive mindset with focus on continuous improvement
Location: Singapore
Job Overview
We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations.
The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms.
Key Responsibilities
Design, deploy, and manage enterprise network security solutions
Configure and administer Fortinet, SonicWall, and Palo Alto firewalls
Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies
Monitor security events using SIEM, XDR, and SOC monitoring platforms
Investigate security incidents, perform threat analysis, and support incident response activities
Manage firewall policies, security rules, and compliance controls
Implement Zero Trust Network Access (ZTNA) and identity-based security controls
Support cloud security initiatives across AWS, Azure, and hybrid infrastructure
Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions
Conduct vulnerability assessments and remediation activities
Collaborate with infrastructure, cloud, and application teams to secure enterprise environments
Maintain security documentation, diagrams, SOPs, and audit records
Participate in on-call rotations and critical incident handling
GPU East-West and North-South traffic control and security
AI networking and security integration expertise
Understanding of AI infrastructure design and reference architectures
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Compliance with industry frameworks and standards such as NIST, ISO, etc.
Required Skills & Technologies
Firewall & Network Security
Fortinet FortiGate
SonicWall
Palo Alto Networks
Check Point (preferred)
Cisco Firepower / ASA
VPN Technologies (IPSec / SSL VPN)
IDS/IPS
Web Application Firewall (WAF)
NAC (Network Access Control)
Modern Security Technologies
Zero Trust Architecture (ZTA)
ZTNA (Zero Trust Network Access)
SASE (Secure Access Service Edge)
SD-WAN Security
SSE (Security Service Edge)
CASB (Cloud Access Security Broker)
Micro-segmentation
Secure Remote Access Solutions
SIEM, SOC & Threat Detection
Experience with one or more:
Splunk
QRadar
Microsoft Sentinel
LogRhythm
ArcSight
Elastic SIEM
Knowledge of:
SOC operations
Threat hunting
Log correlation
MITRE ATT&CK framework
Incident response
Threat intelligence integration
Cloud & Infrastructure Security
AWS Security
Microsoft Azure Security
Hybrid cloud networking
Cloud firewall management
Security Groups / NSGs
Identity & Access Management (IAM)
Endpoint & Advanced Security
EDR/XDR platforms
CrowdStrike
Microsoft Defender
SentinelOne
Endpoint hardening
DLP (Data Loss Prevention)
Email security solutions
Networking Fundamentals
Strong understanding of:
TCP/IP
Routing & Switching
VLANs
BGP / OSPF
DNS / DHCP
Load Balancing
Network troubleshooting
Automation & Scripting (Preferred)
Python
PowerShell
Bash scripting
Security automation
SOAR platforms
Preferred Certifications
Fortinet NSE / FCP
Palo Alto PCNSA / PCNSE
CCNP Security
CISSP
CEH
CompTIA Security+
Microsoft SC Certifications
AWS Security Specialty
Education
Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred.
Soft Skills
Strong analytical and troubleshooting skills
Ability to work in high-pressure environments
Excellent communication and stakeholder management
Strong documentation and reporting abilities
Proactive mindset with focus on continuous improvement
Location: United States
Job Overview
We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations.
The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms.
Key Responsibilities
Design, deploy, and manage enterprise network security solutions
Configure and administer Fortinet, SonicWall, and Palo Alto firewalls
Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies
Monitor security events using SIEM, XDR, and SOC monitoring platforms
Investigate security incidents, perform threat analysis, and support incident response activities
Manage firewall policies, security rules, and compliance controls
Implement Zero Trust Network Access (ZTNA) and identity-based security controls
Support cloud security initiatives across AWS, Azure, and hybrid infrastructure
Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions
Conduct vulnerability assessments and remediation activities
Collaborate with infrastructure, cloud, and application teams to secure enterprise environments
Maintain security documentation, diagrams, SOPs, and audit records
Participate in on-call rotations and critical incident handling
GPU East-West and North-South traffic control and security
AI networking and security integration expertise
Understanding of AI infrastructure design and reference architectures
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Compliance with industry frameworks and standards such as NIST, ISO, etc.
Required Skills & Technologies
Firewall & Network Security
Fortinet FortiGate
SonicWall
Palo Alto Networks
Check Point (preferred)
Cisco Firepower / ASA
VPN Technologies (IPSec / SSL VPN)
IDS/IPS
Web Application Firewall (WAF)
NAC (Network Access Control)
Modern Security Technologies
Zero Trust Architecture (ZTA)
ZTNA (Zero Trust Network Access)
SASE (Secure Access Service Edge)
SD-WAN Security
SSE (Security Service Edge)
CASB (Cloud Access Security Broker)
Micro-segmentation
Secure Remote Access Solutions
SIEM, SOC & Threat Detection
Experience with one or more:
Splunk
QRadar
Microsoft Sentinel
LogRhythm
ArcSight
Elastic SIEM
Knowledge of:
SOC operations
Threat hunting
Log correlation
MITRE ATT&CK framework
Incident response
Threat intelligence integration
Cloud & Infrastructure Security
AWS Security
Microsoft Azure Security
Hybrid cloud networking
Cloud firewall management
Security Groups / NSGs
Identity & Access Management (IAM)
Endpoint & Advanced Security
EDR/XDR platforms
CrowdStrike
Microsoft Defender
SentinelOne
Endpoint hardening
DLP (Data Loss Prevention)
Email security solutions
Networking Fundamentals
Strong understanding of:
TCP/IP
Routing & Switching
VLANs
BGP / OSPF
DNS / DHCP
Load Balancing
Network troubleshooting
Automation & Scripting (Preferred)
Python
PowerShell
Bash scripting
Security automation
SOAR platforms
Preferred Certifications
Fortinet NSE / FCP
Palo Alto PCNSA / PCNSE
CCNP Security
CISSP
CEH
CompTIA Security+
Microsoft SC Certifications
AWS Security Specialty
Education
Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred.
Soft Skills
Strong analytical and troubleshooting skills
Ability to work in high-pressure environments
Excellent communication and stakeholder management
Strong documentation and reporting abilities
Proactive mindset with focus on continuous improvement
Location: Serbia
Job Overview
We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations.
The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms.
Key Responsibilities
Design, deploy, and manage enterprise network security solutions
Configure and administer Fortinet, SonicWall, and Palo Alto firewalls
Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies
Monitor security events using SIEM, XDR, and SOC monitoring platforms
Investigate security incidents, perform threat analysis, and support incident response activities
Manage firewall policies, security rules, and compliance controls
Implement Zero Trust Network Access (ZTNA) and identity-based security controls
Support cloud security initiatives across AWS, Azure, and hybrid infrastructure
Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions
Conduct vulnerability assessments and remediation activities
Collaborate with infrastructure, cloud, and application teams to secure enterprise environments
Maintain security documentation, diagrams, SOPs, and audit records
Participate in on-call rotations and critical incident handling
GPU East-West and North-South traffic control and security
AI networking and security integration expertise
Understanding of AI infrastructure design and reference architectures
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Compliance with industry frameworks and standards such as NIST, ISO, etc.
Required Skills & Technologies
Firewall & Network Security
Fortinet FortiGate
SonicWall
Palo Alto Networks
Check Point (preferred)
Cisco Firepower / ASA
VPN Technologies (IPSec / SSL VPN)
IDS/IPS
Web Application Firewall (WAF)
NAC (Network Access Control)
Modern Security Technologies
Zero Trust Architecture (ZTA)
ZTNA (Zero Trust Network Access)
SASE (Secure Access Service Edge)
SD-WAN Security
SSE (Security Service Edge)
CASB (Cloud Access Security Broker)
Micro-segmentation
Secure Remote Access Solutions
SIEM, SOC & Threat Detection
Experience with one or more:
Splunk
QRadar
Microsoft Sentinel
LogRhythm
ArcSight
Elastic SIEM
Knowledge of:
SOC operations
Threat hunting
Log correlation
MITRE ATT&CK framework
Incident response
Threat intelligence integration
Cloud & Infrastructure Security
AWS Security
Microsoft Azure Security
Hybrid cloud networking
Cloud firewall management
Security Groups / NSGs
Identity & Access Management (IAM)
Endpoint & Advanced Security
EDR/XDR platforms
CrowdStrike
Microsoft Defender
SentinelOne
Endpoint hardening
DLP (Data Loss Prevention)
Email security solutions
Networking Fundamentals
Strong understanding of:
TCP/IP
Routing & Switching
VLANs
BGP / OSPF
DNS / DHCP
Load Balancing
Network troubleshooting
Automation & Scripting (Preferred)
Python
PowerShell
Bash scripting
Security automation
SOAR platforms
Preferred Certifications
Fortinet NSE / FCP
Palo Alto PCNSA / PCNSE
CCNP Security
CISSP
CEH
CompTIA Security+
Microsoft SC Certifications
AWS Security Specialty
Education
Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred.
Soft Skills
Strong analytical and troubleshooting skills
Ability to work in high-pressure environments
Excellent communication and stakeholder management
Strong documentation and reporting abilities
Proactive mindset with focus on continuous improvement
Location: Romania
Job Overview
We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations.
The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms.
Key Responsibilities
Design, deploy, and manage enterprise network security solutions
Configure and administer Fortinet, SonicWall, and Palo Alto firewalls
Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies
Monitor security events using SIEM, XDR, and SOC monitoring platforms
Investigate security incidents, perform threat analysis, and support incident response activities
Manage firewall policies, security rules, and compliance controls
Implement Zero Trust Network Access (ZTNA) and identity-based security controls
Support cloud security initiatives across AWS, Azure, and hybrid infrastructure
Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions
Conduct vulnerability assessments and remediation activities
Collaborate with infrastructure, cloud, and application teams to secure enterprise environments
Maintain security documentation, diagrams, SOPs, and audit records
Participate in on-call rotations and critical incident handling
GPU East-West and North-South traffic control and security
AI networking and security integration expertise
Understanding of AI infrastructure design and reference architectures
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Compliance with industry frameworks and standards such as NIST, ISO, etc.
Required Skills & Technologies
Firewall & Network Security
Fortinet FortiGate
SonicWall
Palo Alto Networks
Check Point (preferred)
Cisco Firepower / ASA
VPN Technologies (IPSec / SSL VPN)
IDS/IPS
Web Application Firewall (WAF)
NAC (Network Access Control)
Modern Security Technologies
Zero Trust Architecture (ZTA)
ZTNA (Zero Trust Network Access)
SASE (Secure Access Service Edge)
SD-WAN Security
SSE (Security Service Edge)
CASB (Cloud Access Security Broker)
Micro-segmentation
Secure Remote Access Solutions
SIEM, SOC & Threat Detection
Experience with one or more:
Splunk
QRadar
Microsoft Sentinel
LogRhythm
ArcSight
Elastic SIEM
Knowledge of:
SOC operations
Threat hunting
Log correlation
MITRE ATT&CK framework
Incident response
Threat intelligence integration
Cloud & Infrastructure Security
AWS Security
Microsoft Azure Security
Hybrid cloud networking
Cloud firewall management
Security Groups / NSGs
Identity & Access Management (IAM)
Endpoint & Advanced Security
EDR/XDR platforms
CrowdStrike
Microsoft Defender
SentinelOne
Endpoint hardening
DLP (Data Loss Prevention)
Email security solutions
Networking Fundamentals
Strong understanding of:
TCP/IP
Routing & Switching
VLANs
BGP / OSPF
DNS / DHCP
Load Balancing
Network troubleshooting
Automation & Scripting (Preferred)
Python
PowerShell
Bash scripting
Security automation
SOAR platforms
Preferred Certifications
Fortinet NSE / FCP
Palo Alto PCNSA / PCNSE
CCNP Security
CISSP
CEH
CompTIA Security+
Microsoft SC Certifications
AWS Security Specialty
Education
Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred.
Soft Skills
Strong analytical and troubleshooting skills
Ability to work in high-pressure environments
Excellent communication and stakeholder management
Strong documentation and reporting abilities
Proactive mindset with focus on continuous improvement
Hybrid
seniorRemote - Bulgaria; Sofia, Bulgaria - Office; MariaDB does not sponsor work visas or relocation
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seniorUnited Kingdom (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorGermany (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorRepublic of Ireland (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorSweden (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorSpain (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
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