Задачи:
— Разрабатывать рекламную платформу для онлайн и офлайн рекламы
— Разрабатывать транспортную систему для статистики
— Проектировать и разрабатывать микросервисы на Go
— Решать алгоритмические и оптимизационные задачи в высоконагруженных сервисах
— Писать эффективный, читаемый и поддерживаемый код, покрывать тестами
— Принимать участие в разработке архитектуры
Требования:
— Большой опыт разработки от 6 лет (из них не менее 3-х лет на Go)
— Знание алгоритмов и структур данных
— Опыт разработки высоконагруженных веб-сервисов со SLA 99.95%+
— Глубокие знания и опыт работы хотя бы с одной СУБД: PostgreSQL, MySQL, ClickHouse
— Понимание основных принципов построения распределённых систем хранения и обработки данных
— Опыт разработки Cloud Native сервисов
— Хорошее знание принципов проектирования микросервисной архитектуры и практический опыт их применения
— Хорошее знание внутреннего устройства Linux
— Опыт профилирования, оптимизации программ на Go и устранения сложных технических проблем
— Готовность работать по принципу: “You build it, you run it”
Технический стек:
Go, In-house Cloud, Kubernetes, Kafka, ClickHouse, PostgreSQL, Docker, Git
Будет плюсом:
— Знание и навыки программирования на C/C++, Rust
— Опыт реализации эффективного мониторинга сервисов
— Опыт работы с инструментами автоматизации эскалации инцидентов
Задачи:
— Разрабатывать рекламную платформу для онлайн и офлайн рекламы
— Разрабатывать транспортную систему для статистики
— Проектировать и разрабатывать микросервисы на Go
— Решать алгоритмические и оптимизационные задачи в высоконагруженных сервисах
— Писать эффективный, читаемый и поддерживаемый код, покрывать тестами
— Принимать участие в разработке архитектуры
Требования:
— Большой опыт разработки от 6 лет (из них не менее 3-х лет на Go)
— Знание алгоритмов и структур данных
— Опыт разработки высоконагруженных веб-сервисов со SLA 99.95%+
— Глубокие знания и опыт работы хотя бы с одной СУБД: PostgreSQL, MySQL, ClickHouse
— Понимание основных принципов построения распределённых систем хранения и обработки данных
— Опыт разработки Cloud Native сервисов
— Хорошее знание принципов проектирования микросервисной архитектуры и практический опыт их применения
— Хорошее знание внутреннего устройства Linux
— Опыт профилирования, оптимизации программ на Go и устранения сложных технических проблем
— Готовность работать по принципу: “You build it, you run it”
— Технический стек: Go, In-house Cloud, Kubernetes, Kafka, ClickHouse, PostgreSQL, Docker, Git
— Будет плюсом: знание и навыки программирования на C/C++, Rust
— Будет плюсом: опыт реализации эффективного мониторинга сервисов
— Будет плюсом: опыт работы с инструментами автоматизации эскалации инцидентов
Условия:
— Полная занятость
— График: 5/2
— Формат работы: удалённо или гибрид
About this role
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.
What You Will Do:
— Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
— Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
— Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
— Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
— Optimize performance, reliability, and cost of the ML platform
— Evaluate and integrate emerging Databricks features
— Stay ahead of the curve by engaging with the latest developments in machine learning and AI
— Serve as senior ML technical advisor to Faire’s data science and production engineering teams
— Represent Faire at ML conferences and meetups
— Mentor ML engineers and raise the overall bar for Machine Learning at Faire
What it takes:
— 10-12 years of experience building and improving large-scale ML or data platforms
— A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
— Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
— Proven ability to design systems that support multiple data science teams and production workloads
— Strong background in distributed systems, ML infrastructure, and cloud architecture
— Demonstrated technical leadership across teams and orgs; ability to influence without authority
— Experience integrating LLM workflows into enterprise platforms is a plus
— Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus
Tech Stack:
Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:
— Languages: Python, SQL, Kotlin
— ML Frameworks: PyTorch, PySpark, MLFlow
— Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL
— Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform
— Generative AI: Claude Sonnet 4.5, ChatGPT 5.2
Conditions:
Hybrid work format with office presence 3 days per week (Tuesdays, Thursdays, and a flex day) and flexibility to work remotely up to 4 weeks per year. Remote work possible for candidates located in Ontario, Canada.
Salary Range:
$248,000 to $341,000 per year, eligible for equity and benefits. Actual base pay depends on skills, experience, market demands, and location. Base pay range subject to change.
Задачи:
- Тестирование web- и мобильных приложений
- Тестирование REST API
- Разработка и поддержка автотестов
- Создание тест-кейсов и чек-листов
- Анализ требований и планирование тестирования
- Поиск, локализация и сопровождение дефектов в Jira
- Взаимодействие с командами разработки и аналитики
- Демонстрация функционала заказчикам и команде
Требования:
- Опыт в тестировании от 3-х лет
- Ручное тестирование web- и мобильных приложений
- Тестирование REST API (Postman, Swagger)
- Разработка и поддержка автотестов на Java (Selenium)
- Опыт с Cypress
- Знание SQL (MySQL), умение работать с JSON/XML
- Работа с Jira, Confluence
- Опыт с Jenkins, Allure, JMeter
- Работа с Git
- Умение писать тест-кейсы и чек-листы
- Анализ требований, участие в планировании тестирования
Будет преимуществом:
- Опыт настройки автоматического мониторинга сервисов
- Опыт работы в телеком-сфере
Условия:
- Зарплата: 650 000 KZT на руки
- Гибридный формат работы после испытательного срока
- Офисы в Астане и Алматы
- Полная занятость
- Современные и уютные офисы
- Возможность работать над продуктом для миллионов пользователей
- Work-life баланс
Требования к кандидату:
— Опыт в тестировании от 3-х лет
— Ручное тестирование web- и мобильных приложений
— Тестирование REST API (Postman, Swagger)
— Разработка и поддержка автотестов на Java (Selenium)
— Опыт с Cypress
— Знание SQL (MySQL), умение работать с JSON/XML
— Работа с Jira, Confluence
— Опыт с Jenkins, Allure, JMeter
— Работа с Git
— Умение писать тест-кейсы и чек-листы
— Анализ требований, участие в планировании тестирования
Основные обязанности:
— Тестирование web- и мобильных приложений
— Тестирование REST API
— Разработка и поддержка автотестов
— Создание тест-кейсов и чек-листов
— Анализ требований и планирование тестирования
— Поиск, локализация и сопровождение дефектов в Jira
— Взаимодействие с командами разработки и аналитики
— Демонстрация функционала заказчикам и команде
Будет плюсом:
— Опыт настройки автоматического мониторинга сервисов
— Опыт работы в телеком-сфере
Условия:
— Современные и уютные офисы в Астане и Алматы
— Гибридный формат работы после прохождения испытательного срока
— Возможность стать частью продукта, который используется миллионами людей по всей стране
— Здоровый work-life баланс
Задачи:
— Работать с frontend с основным фокусом, но также с backend частями современного веб-приложения.
— Понимать полный цикл разработки и эффективно работать с существующим production-кодом.
Требования:
— Минимум 3 года профессионального опыта в разработке программного обеспечения или веб-приложений.
— Уверенное знание JavaScript и/или TypeScript.
— Профессиональный опыт работы с React.
— Опыт работы с Next.js.
— Практическое знание Node.js.
— Опыт работы с Express.js или аналогичными backend-фреймворками для Node.js.
— Знание HTML5, CSS3, адаптивной верстки.
— Опыт интеграции frontend-приложений с REST API.
— Понимание аутентификации, состояния приложения, обработки ошибок и асинхронных процессов.
— Понимание backend и баз данных, включая устройство backend на Node.js, маршрутизацию, контроллеры, сервисы, middleware, взаимодействие frontend и backend, принципы REST API, базовые концепции аутентификации и авторизации, основы реляционных баз данных, таблицы, связи, ключи, индексы, базовые запросы, связь моделей приложения со структурой базы данных.
— Опыт работы с PostgreSQL, MySQL, Supabase, Prisma, Sequelize, TypeORM или аналогичными технологиями будет преимуществом.
— Понимание принципов чистого и поддерживаемого кода, разделения ответственности, создания переиспользуемых компонентов и модулей, разумной структуры проекта, устранения дублирования, рефакторинга, обработки ошибок, code review, отладки, базовых практик тестирования, работы с Git и системами контроля версий.
— Понимание важности структуры кода и влияния технических решений на проект.
— Практический опыт использования AI-инструментов для разработки, таких как ChatGPT, Claude, Cursor, GitHub Copilot, Codex или другие AI-агенты.
— Умение использовать AI для изучения кода, генерации и изменения реализации, отладки, рефакторинга, написания тестов, поиска технических решений, анализа и review кода, выявления edge cases, ускорения работы с большими кодовыми базами.
— Способность самостоятельно оценивать и проверять сгенерированный AI код на соответствие архитектуре, соглашениям и технической корректности.
Кого мы ищем:
— Разработчика, который может самостоятельно понять новую функцию или задачу, изучить кодовую базу, реализовать решение и проверить его корректность.
— Уверенного в задавании технических вопросов и самостоятельном исследовании кода, способного предлагать разумные технические решения.
Задачи:
— Работа с legacy-кодом и его постепенный рефакторинг;
— Переписывание и вынос логики в API;
— Разработка и поддержка backend на PHP;
— Разработка frontend на Angular;
— Работа с микросервисной архитектурой;
— Проектирование и поддержка REST API;
— Интеграция сервисов через очереди (RabbitMQ);
— Работа с базами данных (PostgreSQL / MySQL);
— Использование Doctrine ORM;
— Оптимизация производительности и рефакторинг;
— Участие в код-ревью;
— Использование AI-агентов/ассистентов в разработке;
— Взаимодействие с командой (backend, frontend, QA, DevOps).
Требования:
— Опыт коммерческой разработки 2–4 года;
— Уверенная работа с Git;
— Опыт работы с Docker / docker compose;
— Уверенное знание SQL;
— Понимание CI/CD процессов.
Backend:
— Уверенное знание PHP 8.3+;
— Опыт работы с Symfony или Laravel;
— Уверенный опыт работы с Doctrine ORM;
— Понимание ООП, SOLID;
— Опыт построения REST API.
Frontend:
— Опыт работы с Angular 19+, RxJS;
— Уверенное знание TypeScript;
— Понимание SPA архитектуры.
Условия:
— Официальное трудоустройство в аккредитованной IT-компании с первого дня;
— Удаленная работа, полная занятость;
— Зарплата по результатам собеседования и выполнения тестового задания.
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. They are redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. Sezzle is building an innovative, dynamic team passionate about creating a unique shopping journey.
About the Role:
We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role offers an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join the Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.
What You'll Do:
— Design A.I. systems from the ground up
— Generate reliable and accurate training data for A.I. systems
— Collaborate closely with engineers, data analysts, and business end users to build effective systems
— Write accurate and efficient SQL queries
What We Look For:
— Proficiency in SQL and Python
— Solid understanding of data analysis and database structures
— Currently enrolled in a postsecondary institution studying MIS, Business Analytics/Data Analytics, Computer
— Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
About You:
— You have relentlessly high standards and continually raise the bar
— You ensure defects do not get sent down the line and fix problems permanently
— You are not bound by convention and enjoy developing new ways to do things
— You value speed and calculated risk-taking in business decisions
— You earn trust by listening attentively, speaking candidly, and treating others respectfully
— You can respectfully challenge decisions when you disagree and commit once a decision is made
— You focus on delivering key inputs with quality and timeliness, rising to occasions despite setbacks
Interview Process:
— Application submitted
— Wonderlic test (30-40 min)
— SQL and Python Questions (30 minutes)
— Interview with recruiters (30 min)
— Interview with engineers (1 hour)
— Interview with engineering leadership (30-45 min)
— Offer
Sezzle’s Technology Stack:
Languages: Golang, Typescript, Python
Frontend: Typescript - React and React Native
Backend: Golang
Database: MySQL, Postgres, Elasticsearch
DevOps & Cloud: AWS, Kubernetes
Version Control: Git
CI/CD: Gitlab
Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
Compensation:
The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.
Location: Canada (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 from Canadian
EST time zones only.
Senior Software Engineer - Session Replay
The Opportunity:
The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.
Session Replay
connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.
This team works at the intersection of:
frontend observability,
backend data processing and storage at scale,
debugging workflows across products,
privacy and access control,
performance and cost constraints at scale.
Session Replay
is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks.
What You’ll Be Doing:
As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:
Own end-to-end technical direction for Session Replay,
spanning frontend, backend, and data systems
Drive the evolution of our backend architecture, including:
Designing systems around columnar/analytical data storage for large-scale session data
Defining data models, ingestion pipelines, and query patterns
Lead the design of investigation workflows,
connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
Make high-leverage architectural decisions
that impact multiple teams and products
Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build
cohesive cross-product experiences
Engage directly with customers
- joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully.
Improve engineering standards, patterns, and operational practices within the team
Mentor engineers and help grow technical leadership within the team
Technologies you'll work with:
Go (backend services and APIs)
Columnar/Analytical data storage (core data storage and querying)
Object storage (S3, GCS, Azure Blob Storage) and MySQL
TypeScript / React (user-facing workflows)
Grafana ecosystem (Mimir, Loki, Tempo, etc.)
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What Makes You a Great Fit:
You are
comfortable working in a remote-first company
; communication is key.
For us, working together means being
collaborative, friendly, kind, and respectful
. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
Ability to reason about data-intensive systems
(ingestion, storage, querying, cost trade-offs)
You are
comfortable owning features in ambiguous problem spaces
. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
You have a good understanding of
a software development process that takes a user-centered approach
. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
You enjoy
working on complex solutions
– Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.
You use
AI tools as a natural part of your engineering workflow
- whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't.
Bonus Points For:
Experience with columnar/analytical databases
Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
Experience building debugging or developer-focused tools.
Familiarity with privacy, security, and access control in data-heavy systems
Experience working on performance-sensitive systems (large datasets, real-time queries, session data)
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
164,490
- CAD
197,389
. Actual compensation may vary based on level, experience, and skillset as assessed in 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
.
Location: United States (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 position. We are looking for candidates in the USA
EST time zones only
.
Senior Software Engineer - Session Replay
The Opportunity:
The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.
Session Replay
connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.
This team works at the intersection of:
frontend observability,
backend data processing and storage at scale,
debugging workflows across products,
privacy and access control,
performance and cost constraints at scale.
Session Replay
is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks.
What You’ll Be Doing:
As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:
Own end-to-end technical direction for Session Replay,
spanning frontend, backend, and data systems
Drive the evolution of our backend architecture, including:
Designing systems around columnar/analytical data storage for large-scale session data
Defining data models, ingestion pipelines, and query patterns
Lead the design of investigation workflows,
connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
Make high-leverage architectural decisions
that impact multiple teams and products
Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build
cohesive cross-product experiences
Engage directly with customers
- joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully.
Improve engineering standards, patterns, and operational practices within the team
Mentor engineers and help grow technical leadership within the team
Technologies you'll work with:
Go (backend services and APIs)
Columnar/Analytical data storage (core data storage and querying)
Object storage (S3, GCS, Azure Blob Storage) and MySQL
TypeScript / React (user-facing workflows)
Grafana ecosystem (Mimir, Loki, Tempo, etc.)
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What Makes You a Great Fit:
You are
comfortable working in a remote-first company
; communication is key.
For us, working together means being
collaborative, friendly, kind, and respectful
. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
Ability to reason about data-intensive systems
(ingestion, storage, querying, cost trade-offs)
You are
comfortable owning features in ambiguous problem spaces
. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
You have a good understanding of
a software development process that takes a user-centered approach
. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
You enjoy
working on complex solutions
– Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.
You use
AI tools as a natural part of your engineering workflow
- whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't.
Bonus Points For:
Experience with columnar/analytical databases
Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
Experience building debugging or developer-focused tools.
Familiarity with privacy, security, and access control in data-heavy systems
Experience working on performance-sensitive systems (large datasets, real-time queries, session data)
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
154,445
- USD
185,334
. Actual compensation may vary based on level, experience, and skillset as assessed in 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
.
Location: São Paulo, Brazil
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
A major Brazilian financial institution specializing in investment banking, wealth management, and corporate lending. The customer develops secure digital banking platforms and financial solutions to serve a diverse global client base.
What You’ll Do
Plan, coordinate, and execute technical support activities for database users and infrastructure
Provide database support remotely and on-site as required
Register, analyze, diagnose, prioritize, and resolve database-related requests
Provide users with clear technical guidance and issue-resolution updates
Troubleshoot database incidents and escalate complex or high-impact issues appropriately
Support database implementations, migrations, and technology-transfer activities
Perform preventive and corrective maintenance to ensure database reliability
Monitor database performance, capacity, availability, and overall health
Identify potential issues and take corrective action before they affect system availability
Administer and configure database management systems according to established security standards
Support backup, storage, recovery, and business-continuity processes
Follow defined service-level agreements for response times, escalation, and downtime notifications
Maintain accurate technical documentation, procedures, and operational records
Collaborate with infrastructure, application, security, and support teams
Contribute to the long-term stability and sustainability of the database environment
What You Bring
Experience administering databases across production, testing, and development environments
Hands-on knowledge of SQL Server and Oracle
Experience administering and configuring backup and storage solutions
Understanding of database security requirements and access controls
Knowledge of backup and recovery strategies
Experience monitoring database performance, capacity, and availability
Ability to troubleshoot database incidents and support technical migrations
Ability to prioritize and reclassify database support tasks based on urgency and business impact
Strong analytical, critical-thinking, and problem-solving skills
Clear communication and effective collaboration skills
Proactive approach and strong sense of ownership
Bachelor’s degree in Information Technology or a related field
Nice to have
Experience with MySQL, PostgreSQL, or MongoDB
Experience working in cloud environments, preferably AWS
Knowledge of Shell, PowerShell, or Unix scripting
SQL Server or Oracle certifications
English or Spanish language proficiency
Experience using AI-powered tools to support technical work, troubleshooting, or productivity
English level
Upper-Intermediate
Work Type:
Hybrid, with on-site attendance twice per week
Location
: Sao Paulo, Brazil
Work Schedule:
10:00 a.m. to 10:00 p.m.
Shift Rotation:
12x36 — 12 hours worked followed by 36 hours off
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Compensation details are shared with candidates at the early stage of the recruitment process.
The offer is not binding until a signed contract is in place.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Облако Selectel - это набор микросервисов и подсистем для управления виртуальными машинами, кластерами Kubernetes, базами данных и сетями. Ядро облака включает виртуальные машины, диски и сети, которые используются клиентами напрямую и служат основой для PaaS-сервисов. Команда сетевых функций облака занимается развитием и поддержкой сервисов управления сетями, виртуальными роутерами и балансировщиками нагрузки, включая виртуализацию сетевых функций от Open vSwitch до панели управления.
Задачи:
— Разрабатывать сетевые сервисы на Python и Golang, такие как DNS-as-a-service, высокопроизводительные балансировщики и другие.
— Обновлять сетевые компоненты OpenStack (octavia, neutron), писать патчи и исправлять баги в upstream.
— Ревьювить код, писать unit и функциональные тесты.
— Проводить исследования и проектировать архитектуру новых компонентов.
Требования:
— Хорошее знание Python (Flask, SqlAlchemy, Celery, Oslo, Taskflow) и других специфичных для OpenStack технологий.
— Опыт работы с микросервисами и масштабными монолитными проектами.
— Знание сетевых технологий: VLAN, VXLAN, маршрутизация, BGP, умение снимать и анализировать tcpdump.
— Опыт работы с MySQL, PostgreSQL, ClickHouse, RabbitMQ, Redis.
— Опыт проектирования API и архитектуры приложений, включая микросервисную архитектуру.
— Опыт работы с Linux: написание bash-скриптов, работа с логами, настройка IP и сетевых интерфейсов.
— Опыт и понимание принципов CI/CD и IaC (GitlabCI, Puppet, Jenkins).
— Опыт работы с Docker и Kubernetes.
Будет плюсом:
— Опыт разработки на Golang.
— Опыт работы с OpenStack на уровне пользователя или разработчика/администратора.
— Знания сетевых технологий облаков: оверлейные сети, плавающие адреса, security groups, NAT, OpenFlow, Open vSwitch, OVSDB, балансировка трафика.
— Практический опыт работы с сетевым оборудованием.
— Навыки автоматизации управления сетевым оборудованием (Netconf, SSH, OVSDB).
Условия:
— Ежемесячная надбавка за некурение.
— ДМС, стоматология, офисный врач с первого дня работы.
— Компенсация психологических консультаций онлайн или в кабинете.
— 50% оплата абонемента в фитнес-клуб и спортивный зал в офисе.
— Внутренние спортивные турниры, корпоративные тренировки и участие в спортивных мероприятиях.
— Офисный душ.
— Образовательные мероприятия: мастер-классы, лекции, квизы, экскурсии.
— Тематические киновечера и вечера настолок.
— PlayStation zone, кикер и настольный теннис.
— Несколько крупных тусовок в году, зимние поездки на сноубордах и лыжах, осенние пейнтболы.
— От 50% до 100% оплаты обучения английскому, еженедельные разговорные клубы с носителями.
— Внутренние обмены знаниями: lightning & thunder talks, Selectel MasterClass.
— Внутренняя база знаний и курсы.
— Рекомендации по обучению и развитию.
— Персонализированный подход к обучению, возможность участия в международных конференциях.
— Онлайн-библиотека Alpina Digital.
Задачи:
— Работа на первой линии технической поддержки
— Мониторинг, анализ и координация поступающих обращений от пользователей
— Приём входящих заявок и первичное взаимодействие с разработчиками / DevOps
— Взаимодействие со смежными подразделениями
— Работа с системой контроля заявок JIRA
— Развитие инструментов мониторинга и сопровождения
— Отработка триггеров Zabbix
— Техническая поддержка внутренних пользователей по всему спектру IT-вопросов
— Проведение процедур первичной диагностики проблем
— Участие в разборе и устранении инцидентов и аварий
— Выполнение интересных технических задач для профессионального развития
Требования:
— Опыт работы в сфере IT от 2 лет
— Опыт работы с Graylog или аналогами, Grafana / Kibana
— Знание Linux и уверенная работа в командной строке
— Уверенное знание и практический опыт работы с Zabbix
— Знание принципов работы протоколов TCP / UDP
— Знание систем виртуализации
— Опыт работы с IPMI / iDRAC
— Высшее, неполное высшее или среднее образование в сфере информационных технологий (будет преимуществом)
— Знание MySQL, DNS, Nginx, Proxmox, iptables, Ceph, Exim, VoIP, Grafana (будет преимуществом)
— Администрирование Linux-систем на уровне продвинутого пользователя (будет преимуществом)
— Умение читать и анализировать системные логи (будет преимуществом)
— Знание Ansible на начальном уровне (будет преимуществом)
— Знание Winback и умение работать с IIS (будет преимуществом)
— Сдержанность, грамотная речь и стрессоустойчивость (будет преимуществом)
Условия:
— Формат работы: офис в Белграде (релокация)
Location: Serbia; Latvia; Lithuania; Ljubljana; Moldova; Belarus; Georgia; Kyrgyzstan; Uzbekistan; Azerbaijan; Armenia; Czech Republic; Portugal; Spain; Dubai
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
About the role
We're looking for a Linux Administrator to join our Infrastructure team, responsible for building, operating and continuously improving all of our infrastructure services — from core services to observability and private clouds.
Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu. The stack ranges from core services like LDAP, PowerDNS and NTP, to an observability stack (Prometheus, Thanos, Loki, Grafana, Jaeger) and private clouds based on OpenStack and Kubernetes, as well as services such as GitLab, Artifactory and Vault.
You’ll work in a team of experienced infrastructure engineers, using Scrum and Agile practices, with two-week sprints and a strong focus on automation, reliability and continuous improvement.
The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST.
Why this role?
You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production.
It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers.
Tasks
Oversee various services and associated infrastructure components, including DNS, Gitlab, Artifactory, Vault, Loki, Prometheus etc;
Perform day-to-day operational tasks such as upgrades, CVE patching, backup and restore, security scans, and monitoring;
Manage and support private clouds (Openstack and Kubernetes);
Design, configure, maintain and troubleshoot Linux systems across different environments, including bare metal, virtual machines and containers.
Resolve incidents, provide support coverage, categorize issues, conduct post-mortems, and perform root cause analysis;
Ensure environments are stable and adhere to availability SLAs;
Work towards reducing operational effort;
Automate repetitive operational tasks and continuously reduce manual effort;
Collaborate with development teams to troubleshoot infrastructure-related issues in production;
Keep infrastructure documentation and operational procedures up to date;
Engage in constant upskilling to stay updated with industry best practices.
Requirements
3+ years of professional experience as a Linux System Administrator, DevOps Engineer, or Site Reliability Engineer, with a focus on infrastructure.
Extensive experience in designing, building, configuring, and troubleshooting Linux servers across various environments (bare metal, container, cloud);
Experience with Linux server configuration, maintenance and troubleshooting in production.
Understanding of process control, logging and Linux service management.
Experience with infrastructure services such as Vault, Artifactory, DNS and similar platform components.
Proficiency with automation tools such as Chef, Ansible, or Salt;
Experience with Docker, Kubernetes and containerized environments;
Experience with monitoring and log aggregation tools like Grafana, ELK, or Graylog;
Experience in deploying and maintaining systems on cloud solutions such as OpenStack, VMware, Proxmox, or public cloud platforms such as AWS, GCP, Azure.
Skilled in scripting languages such as Bash and Python;
Familiarity with configuring various servers and databases, including Apache Tomcat, Nginx, MySQL DB, PostgreSQL, Kafka, RabbitMQ, etc;
Experience with DevOps tools and CI/CD workflows.
At least C1 in Russian and B1 in English.
Nice to have
Hands-on experience with Kubernetes, including troubleshooting workloads and cluster-related issues.
Hands-on experience with OpenStack, including deployment, configuration, maintenance or troubleshooting of private cloud environments.
Hands-on experience with Chef.
Experience with GitLab CI/CD, Jenkins or GitHub Actions.
Experience working with fintech/trading, or other high-load and mission-critical systems.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Talablar:
• Python + FastAPI — ishonchli darajada, 2 yildan ortiq tijoriy (amaliy) tajriba;
• MySQL / PostgreSQL — sxemalarni loyihalash, indekslar, sekin so‘rovlarni (slow query) o‘qiy olish va tahlil qilish;
• Linux va tarmoqlar — asosiy darajada: SSH, Nginx, loglar, ularning ishlash prinsipini tushunish;
• Git — jamoaviy ishlash, tarmoqlar (branches), kod tekshiruvi (code review).
Ish turi: To'liq ish kunida, offline 5/2.
Задачи:
— Обеспечивать масштабируемость, производительность и надежность системы базы данных.
— Сотрудничать с кросс-функциональными командами для определения, проектирования и выпуска новых функций.
— Устранять и решать сложные проблемы в распределенных средах.
— Профилировать, отлаживать и оптимизировать производительность с использованием инструментов JFR, JMC, async-profiler, VisualVM и собственных методов.
— Поддерживать чистоту и проверяемость кода с помощью Git.
— Разрабатывать и оптимизировать структуры данных для обеспечения лучшего доступа к данным в сценариях с высокой интенсивностью данных.
— Реализовывать оптимальные методы хранения данных на диске и передачи данных по сети между узлами, включая обработку сбоев и восстановление.
— Реализовывать и интегрировать алгоритмы для высокой доступности всего кластера.
— Исследовать недостатки алгоритмов согласованности данных, включая глубокую отладку на многозвенных кластерах и низкоуровневых данных.
Требования:
— Опыт программирования на Java не менее 4 лет.
— Глубокие знания конкурентности в Java и модели памяти Java, а также моделей конкурентности в других системах.
— Отличное знание Java SE, включая IO и внутренние механизмы JVM.
— Опыт работы с SQL базами данных.
— Опыт устранения неполадок в Java-приложениях и/или базах данных.
— Отличные навыки лидерства, решения проблем и отладки.
— Опыт эффективной работы в быстро меняющейся, совместной среде.
— Глубокие знания SQL (MariaDB, MySQL, PostgreSQL, Apache Ignite, GridGain) и страсть к распределенным системам (Raft, MVCC, ACID и др.).
— Понимание MVCC, P2PL и различий между Snapshot Isolation и REPEATABLE READ.
— Преимуществом будет опыт с NoSQL и/или распределенными базами данных.
— Опыт построения высоконагруженных распределенных систем и алгоритмов.
— Опыт работы с Docker, Kubernetes и/или публичными облаками (AWS, GCE, Azure).
— Опыт участия в open-source проектах, автоматизации или тестировании производительности/нагрузки.
— Активное использование AI.
Условия:
— Удаленная работа из указанных стран: Грузия, Хорватия, Эстония, Финляндия, Италия, Польша, Румыния, Сербия, Испания, Армения, Кипр.
— Возможность удаленной или гибридной работы (зависит от локации).
— Конкурентная оплата, 25 дней оплачиваемого отпуска плюс праздничные дни.
— Культура, ценящая креативность и чистую инженерную практику.
— Глобальная распределенная команда с ощутимым и ценным вкладом.
Прочее:
— MariaDB не спонсирует рабочие визы и не предоставляет помощь с релокацией.
— Компания стремится обеспечить доступность для людей с ограниченными возможностями в процессе подачи заявки и интервью.
Требования к кандидату:
— Опыт в тестировании от 3-х лет
— Ручное тестирование web- и мобильных приложений
— Тестирование REST API (Postman, Swagger)
— Разработка и поддержка автотестов на Java (Selenium)
— Опыт с Cypress
— Знание SQL (MySQL), умение работать с JSON/XML
— Работа с Jira, Confluence
— Опыт с Jenkins, Allure, JMeter
— Работа с Git
— Умение писать тест-кейсы и чек-листы
— Анализ требований, участие в планировании тестирования
Основные обязанности:
— Тестирование web- и мобильных приложений
— Тестирование REST API
— Разработка и поддержка автотестов
— Создание тест-кейсов и чек-листов
— Анализ требований и планирование тестирования
— Поиск, локализация и сопровождение дефектов в Jira
— Взаимодействие с командами разработки и аналитики
— Демонстрация функционала заказчикам и команде
Будет плюсом:
— Опыт настройки автоматического мониторинга сервисов
— Опыт работы в телеком-сфере
Что предлагают:
— Современные и уютные офисы в Астане и Алматы
— Гибридный формат работы после прохождения испытательного срока
— Возможность стать частью продукта, который используется миллионами людей по всей стране
— Здоровый work-life баланс
ГибридАстана
ГибридseniorKitchener-Waterloo
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