Location: Israel
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: United States
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Madrid, Spain
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
About The Role:
We're an advertising company that lives or dies by how well we connect to the outside world. We integrate with the major social and ad platforms (Meta, Google, TikTok, LinkedIn, Snap, and more) and wire them into our internal systems for billing and reporting. Data moves constantly and in both directions, at scale, and a meaningful part of our estate is legacy. You'll own the technical direction that keeps all of this coherent, resilient, and evolvable — and you'll stay close enough to the code to prove it.
This is the top of our individual-contributor ladder. You won't have direct reports; your leverage comes from setting direction, building the hard parts yourself, writing the decisions down, and getting engineers and leadership to build behind them. This is not a role that only draws diagrams — you'll ship production code on the riskiest paths, cut the spike that de-risks a migration, and go deep in the incidents nobody else can crack. We work across PHP, Go, Python, TypeScript, and JavaScript; PHP and Go are both first-class and here to stay, and the right tool for a problem can land in either. You'll be the person who decides where new capability lands, how legacy gets retired, and how we absorb the constant churn of third-party APIs without breaking delivery.
What You'll Own:
The integration architecture for ingesting from and pushing to external ad/social platforms — versioning, rate limits, backfills, idempotency, webhooks, and graceful degradation when a partner API changes underneath us.
The data architecture for information flowing between platforms and internal systems: pipelines, reconciliation, contracts between services, and the path from operational data to reporting.
A pragmatic strategy for modernizing the legacy estate — strangler-fig migrations, clear service boundaries, and sound judgement about which language and pattern fit each problem — carried far enough into code that teams can follow the pattern.
The engineering bar for integration and data work: the reference implementations, patterns, and standards the org builds against, ratified through the technical committee.
What You'll Do:
Set the technical direction for new products and major changes, and stay the technical decision-maker through build and post-launch — with the authority to course-correct when implementation drifts, and the habit of being in the codebase to catch the drift early.
Build the hard parts yourself.
Write production code on the riskiest, highest-leverage paths; prototype the uncertain approach to turn an argument into evidence; build the reference implementation others extend.
Turn intangible trade-offs — partner API risk, team capability, long-term scalability, cost of change — into clear, written decisions (ADRs) that leadership and the technical committee can sign off on.
Define service and data contracts, integration patterns, and resilience strategies that survive third-party API deprecations and outages.
Go deep when it breaks: lead diagnosis on the gnarliest production incidents and performance regressions, and land the fix and the systemic follow-up.
Identify the infrastructure (compute, data, messaging, observability) needed to meet current and near-future goals.
Raise the bar through others:
mentor engineers and tech leads, set the standard in code review, and drive cross-functional decisions across engineering, product, security, and operations — through influence, not line management.
Evaluate third-party and vendor solutions against our integration and data requirements.
Monitor systems against performance and business benchmarks and escalate with concrete recommendations.
What We're Looking For:
Substantial experience as a staff/principal engineer (or equivalent) on
integration-heavy, data-heavy systems
— ideally where you didn't control the external APIs.
Still hands-on.
You lead by building, and you're demonstrably strong in production code, not only in design.
Depth in at least one of
PHP, Go, or Python
, and comfort across a polyglot estate (TS/JS on the front).
A track record of
modernising legacy systems incrementally
without halting delivery.
Fluency in integration and data patterns: idempotency, eventual consistency, rate limiting, queuing, backfills/reconciliation, API versioning.
A history of
driving technical decisions through influence rather than authority
— getting senior leadership and peer engineers to commit to a direction, and backing it with working code.
Nice To Have:
Experience with ad/martech platform APIs (Meta Marketing, Google Ads, TikTok, etc.).
Data warehouse / analytics pipeline experience (e.g. BigQuery).
Multi-region, multi-currency, or high-volume billing/reconciliation backgrounds.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Задачи:
— Работа в техническом направлении QA для проекта Hero Wars: Dominion Era (WEB версия).
— Поддержка внутренних инструментов и технической стратегии проекта.
— Обеспечение качества интеграций, изменений на бэкенде, внутренних инструментов, окружений и сложных системных поведений.
— Поддержка запуска игры в новом регионе с учетом региональных интеграций (платежи, автоматизация), ограничений по подключению и связанных кейсов.
— Работа с устаревшими системами и техническим долгом, улучшение качества и процессов.
Требования:
— Опыт QA не менее 3 лет (ручное тестирование) в веб/игровых продуктах или сложных системах.
— Практические навыки работы с DevTools, Postman, понимание веб-тестирования и интеграций.
— Уверенное владение SQL (PostgreSQL), умение проверять данные и исследовать проблемы через запросы.
— Умение работать с командной строкой и базовый анализ логов.
— Понимание жизненного цикла разработки/тестирования и умение работать с тестовой документацией.
— Базовое понимание CI/CD и процессов релизов/окружений.
Желательно:
— Опыт автоматизации на любом языке (особенно Python).
— Опыт или интерес к Docker, Kubernetes, облачным технологиям (AWS).
— Опыт в ролях, близких к SDET (инструменты, тестовые утилиты, пайплайны, интеграционные тесты).
— Знание GitLab CI и процессов релизов.
— Использование AI в рабочих задачах.
Условия:
— Медицинская программа (включая стоматологию) или компенсация, доступная в любом месте работы.
— Медицинская программа для членов семьи при работе в офисах в Кипре, Армении или Казахстане.
— Оплачиваемый отпуск и больничные.
— Возможность работать в офисах в Армении, Казахстане, Кипре или удаленно.
— Спортивные активности в офисах (йога, футбол, волейбол).
— Пакет поддержки при релокации в официальные локации.
— Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в Кипре и Армении.
— Участие в гейм-джемах, хакатонах, конференциях и митапах.
— Корпоративные мероприятия: стратегические сессии, воркшопы, вечеринки, конкурсы.
— Поддержка социальных инициатив и участие в благотворительных проектах.
Формат работы: в офисах компании в Армении, Казахстане, Кипре или удаленно.
Location: Seoul
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job
Mistral AI is seeking a Head of Applied AI Engineering, to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The role is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you’ll lead customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
About you
- You are fluent in English and Korean native
- You hold a PhD / master in AI / data science or you’re self-made
- You have 10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs
- You have a deep understanding of Cloud Infrastructure and how to deploy AI based products
- You have deployed or built products with large scale user based
- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have:
- Contributed to open-source projects in particular in the space of LLM
- Experience as a Forward Deployed Engineer, Staff Engineer Machine Learning Engineer, Staff Data Scientist.
- Experience founding a startup or as a founding member of a fast growing startup
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Seoul
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job
Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
About you
• You are fluent in English and Korean
• You hold a degree in Computer Science, Software Engineering, or a related field.
• You have 5+ years as a technical individual contributor on cutting-edge technologies
• You have strong technical coding skills in Python and TypeScript
• You have experience with front-end frameworks such as React, NextJS, or VueJS.
• You have experience with back-end technologies such as NodeJS.
• You have a solid understanding of software development principles, including design patterns, data structures, and algorithms.
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have:
• Experience with LLM/GenAI models
• Contributed to open-source projects or libraries
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— Разрабатывать и поддерживать микросервисную архитектуру
— Интегрировать платежные системы и игровые агрегаторы
— Развивать существующие платежные модули и создавать новый функционал
— Проектировать базы данных, оптимизировать запросы и участвовать в миграциях
— Работать с инфраструктурой (Docker, Kubernetes, AWS)
— Взаимодействовать с backend-командой, QA и продуктом
— Участвовать в code review и технических обсуждениях
Требования:
— 3–6 лет коммерческого опыта в Backend-разработке
— Уверенное знание Node.js и NestJS
— Опыт работы с JavaScript и TypeScript
— Опыт проектирования и разработки микросервисов
— Хорошие знания PostgreSQL, MongoDB и Redis
— Опыт работы с Docker, Kubernetes, RabbitMQ и AWS
— Понимание принципов построения отказоустойчивых и высоконагруженных систем
— Английский язык от уровня B2
Будет плюсом:
— Опыт с Go
— ClickHouse
— Unit и Integration Testing
— Опыт в Live Casino, Streaming или Real-Time системах
Условия:
— Новый продукт и возможность влиять на его развитие с самого начала
— Современный технологический стек
— Международная команда
— Официальное трудоустройство для сотрудников в Праге
Location: Shanghai
Workplace: onsite
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
ABOUT YOU
We are looking for a Senior Backend Engineer who is systems-minded, detail-oriented, and passionate about building scalable infrastructure to join our Platform Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design and own the server-side architecture of a white-label game distribution platform, tackling challenges in multi-tenancy, large-file delivery, and high-concurrency systems.
Strong command of GoLang and solid experience in microservices and distributed systems are essential, along with experience in building backend services for content distribution, app stores, or gaming platforms. The ability to collaborate with cross-functional teams and drive technical decisions on performance, security, and observability will be key to your success in this role.
If you’re passionate about building robust, high-performance backend systems that power game distribution at scale and love solving complex infrastructure problems in the gaming ecosystem, we would love to hear from you!
Responsibilities
Design, build, and maintain the backend services for the game distribution platform, with a highly available and scalable server-side architecture
Design and implement a multi-tenant architecture supporting data isolation
Design and implement the storage and delivery solution for large game files (object storage / CDN, signed download URLs, resumable downloads, version management)
Build backend APIs and permission systems for the operations admin panel and publisher portal
Design and deliver the search solution (e.g., Elasticsearch) to power full-text search and filtering of games
Ensure system performance, concurrency, security, and observability (monitoring, logging, alerting)
Game industry experience required
On-site position only (remote work not available)
Requirements
Degree in Computer Science or a related field, with 5+ years of backend development experience
Strong command of GoLang
Proficiency with AI coding tools (Claude Code, Gemini, etc.)
Solid RESTful API design skills; familiar with microservice architecture
Familiar with relational database (MySQL/PostgreSQL) design and optimization; knowledge of NoSQL (Redis, etc.)
Familiar with message queues (Kafka/RabbitMQ), caching, and other middleware
Solid engineering fundamentals: coding standards, unit testing, Git, CI/CD
Nice to have
Understanding of the Chinese gaming industry and experience in Chinese game building, publishing, or operation on major Chinese gaming platforms
Experience in backend development for games or game platforms
Familiarity with server-side integration of game SDKs (accounts, in-app purchases, real-name verification)
Familiarity with in-app purchase (IAP), virtual goods, and order management
Experience with multi-tenant SaaS / white-label platform architecture
Familiarity with Elasticsearch
Experience designing and optimizing high-concurrency, high-traffic systems
Experience with app stores or content/game distribution platforms
Knowledge of object storage and CDN, with experience in or awareness of large-file / high-concurrency delivery
Note: Less experienced candidate could be considered as middle-level developer.
Job Description
This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required.
Privacy Notice & Data Processing Consent
By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping.
In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL):
Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla.
Sensitivity: We will handle your personal information with a high duty of care.
Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us.
If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data.
Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Задачи:
— Сотрудничать в планировании, проектировании, разработке, развертывании и улучшении продуктов интеграции данных и хранилища данных (DWH).
— Разрабатывать, создавать и поддерживать тестовые наборы для проверки корректности и точности процессов интеграции данных и ETL.
— Внедрять AI-интеграцию (агенты, большие языковые модели) в процессы QA, включая мониторинг, тестирование, обеспечение качества данных и автоматизированный код-ревью.
— Совместно с командой определять и описывать политики, стандарты и руководства по данным для других команд.
— Участвовать в проектировании и реализации процессов сверки, мониторинга, оповещений и других процессов обеспечения качества данных.
— Исследовать проблемы качества данных и работать над их улучшением.
— Обеспечивать качество решений с данными, поддерживающих бизнес-требования.
— Помогать в определении и внедрении лучших практик в команде для обеспечения качества решений с данными.
— Совместно с командой устранять и решать возникающие проблемы.
— Анализировать и тестировать новые функции перед их запуском.
— Участвовать в приёмочном тестировании пользователями.
Требования:
— Опыт работы Quality Assurance Engineer не менее 4 лет.
— Опыт использования AI-инструментов и агентов (Cursor, Claude Code, Codex) для повышения эффективности QA и оркестрации процессов.
— Экспертные знания SQL, особенно ClickHouse.
— Опыт автоматизации тестирования на Python с использованием pytest.
— Опыт работы с продуктами потоковой обработки данных (Kafka Connect, Flink).
— Опыт тестирования потоковых систем будет плюсом.
— Опыт работы с Docker и Kubernetes будет плюсом.
— Знания Grafana, PagerDuty, Terraform будут плюсом.
— Понимание моделирования данных, хранилищ данных, ETL и техник интеграции данных.
— Опыт влияния на разработчиков в вопросах лучших практик.
— Отличные аналитические и проблемно-решающие навыки.
— Ориентация на результат, инициативность и ответственность.
— Отличные устные и письменные навыки английского языка (уровень не ниже upper-intermediate).
— Русский язык на уровне upper-intermediate или выше — опционально.
Условия:
— Конкурентная зарплата и ежегодный бонус по результатам работы.
— Полная поддержка релокации для кандидата и семьи (перелёты, жильё, визы, юридическая помощь).
— Медицинская страховка топ-уровня с покрытием для всей семьи (медицинская, стоматология, зрение, психическое здоровье), а также страхование жизни.
— Неограниченные возможности для обучения: внешние курсы, уроки английского, развитие карьеры и лидерских навыков.
— Оплата образования (школа, детский сад).
— 21 рабочий день отпуска, плюс официальные праздники, оплачиваемые больничные, декретные и отпуск по уходу за ребёнком.
— Программа признания сотрудников: брендированные подарки, выходные на день рождения, бюджеты на празднования свадеб, рождений и важных событий.
— Командные поездки и корпоративные мероприятия.
— Программа акций компании.
— Корпоративный автомобиль MINI Cooper Countryman и личная парковка.
— Бесплатные спортивные клубы, доступ в спортзал Sanctum Club, водные мотоциклы.
— Доступ к корпоративному врачу.
— Эксклюзивные скидки в кафе, спортзалах и местных сервисах.
— Налоговые льготы для экспатов: до 50% освобождения от подоходного налога.
— Поддержка в процессе натурализации для релокантов.
Дополнительно:
— Работа в международной команде с английским как основным языком.
— Вакансия в офисе в Лимассоле, Кипр.
— Процесс найма: вводный звонок с рекрутером, проверка английского (если нужно), техническое интервью с живым кодированием, поведенческое интервью.
О ПРОЕКТЕ И РОЛИ
Компания Usetech находится в поиске QA Fullstack-инженера на крупный финтех-проект (кредитный продукт для бизнеса). Позиция предполагает равное распределение задач между ручным и автоматизированным тестированием (50/50).
ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ
• Ручное и автоматизированное тестирование функционала (50 на 50);
• Разработка, поддержка и актуализация автотестов на C#;
• Тестирование REST API, интеграционных слоев и бизнес-процессов;
• Работа с базами данных SQL и брокерами сообщений (Kafka, RabbitMQ);
• Активное участие в развитии QA-практик внутри команды.
ТРЕБОВАНИЯ К КАНДИДАТУ
• Опыт работы в сфере QA от 3 лет;
• Опыт коммерческой автоматизации на C# от 1,5 лет (основной стек);
• Опыт тестирования web-приложений;
• Уверенные знания принципов работы REST API и SQL (написание запросов с join, работа с view и т.д.);
• Практический опыт интеграционного тестирования;
• Опыт работы с CI/CD (Jenkins, GitLab CI);
• Опыт работы с брокерами сообщений Kafka, RabbitMQ или аналогами;
• Владение инструментами Git, Jira, Confluence.
БУДЕТ ПЛЮСОМ
• Опыт работы с Redis, Hazelcast;
• Опыт тестирования в условиях микросервисной архитектуры;
• Опыт работы в финтех-домене.
УСЛОВИЯ И КОРПОРАТИВНЫЕ БЕНЕФИТЫ
• Карьерные и профессиональные возможности в аккредитованной ИТ-компании;
• Расширенный пакет ДМС со стоматологией, доступ к услугам корпоративного психолога;
• Профильное обучение, сертификация за счет компании и корпоративный английский язык;
• Доступ к корпоративной библиотеке и внутреннему университету;
• Профильные коммьюнити и развитая корпоративная культура;
• Социальные программы для сотрудников и их детей.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As a Design Engineer at Ramp, you sit at the intersection of design and front-end engineering. You bring ambitious ideas to life in real interfaces, prototype directly in code, validate with customers, and ship production experiences with a high bar for craft, performance, and reliability.
Design at Ramp is AI first and builder led. Work starts in an LLM to clarify intent and constraints, moves into tools like Claude and Cursor to explore and build, is tested with real customers, and then comes into Figma for systems and polish. AI and self-serve research are default parts of the workflow, not side experiments.
We are looking for multiple design engineers who think like a designer, code like a front-end engineer, and treat AI as a real collaborator.
WHAT YOU’LL DO
- Design and build high-craft product experiences: Own key surfaces end to end, from concept through production. Use layout, interaction, and motion to make complex behavior feel simple and safe.
- Work AI first with Cursor and Claude Code: Use LLMs, Cursor, and Claude Code as your starting point. Draft intent, explore implementations, scaffold components, and refactor with AI in the loop. Apply your own judgment to refine quality.
- Prototype in code and validate with customers: Build interactive prototypes in React and TypeScript and test them with real users using self-serve research tools. Use what you learn to refine flows before full systemization.
- Bridge design systems, product, and brand: Translate Ramp’s design principles into reusable components and patterns. Extend the design system so expressive, brand-aligned moments are easy to build and scale.
- Reveal what our agents are doing without noise: Design patterns that show what AI and automation are doing on behalf of customers. Use hierarchy, copy, and motion to earn trust while keeping the default experience simple.
- Champion performance and accessibility: Ship work that is fast, accessible, and robust. Pay attention to semantics, focus states, reduced motion, and Core Web Vitals. Partner with engineers to debug and optimize over time.
- Share AI-native workflows: Document prompts, patterns, and workflows you use in Cursor and Claude Code. Share them with designers and engineers to raise the bar across the team.
WHAT YOU NEED
- Strong experience across both design and front-end engineering, with ownership from idea to shipped interface
- Fluency in React, TypeScript or JavaScript, semantic HTML, and modern CSS
- Active use of tools like Cursor and Claude Code, with clear opinions on how to get high-quality output
- A portfolio that shows high visual and interaction craft in live experiences or working prototypes
- A systems mindset and interest in building reusable components and patterns
- Care for performance, accessibility, and reliability as part of craft
- Clear written and verbal communication, and comfort pairing with designers, engineers, and marketers
- Based in or open to relocate to NYC
NICE TO HAVES
- Experience contributing to a design system or front-end component library
- Familiarity with experimentation or analytics tools
- Experience with headless CMS, design tokens, or theming systems
- Background in fintech, B2B SaaS, or other trust-heavy domains
- Interest in mentoring others on AI-native workflows
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
Задачи:
— Design and verify custom digital hardware components and architectures that enable high-performance, tightly integrated computation workloads and interface Arago’s custom tensor unit for advanced AI/ML applications.
— Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit.
— Collaborate with Arago’s system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals.
— Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches.
— Support synthesis, timing analysis, and backend integration, working closely with Arago’s physical design and CAD engineers.
— Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform.
Требования:
— Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units.
— Strong understanding of digital architecture, including pipelining, arbitration, memory hierarchy, and system-level integration.
— Proficiency in functional verification, including testbench development, assertions, coverage metrics, and debugging (UVM experience is a plus).
— Familiarity with ASIC and FPGA design flows, including synthesis, timing closure, and DFT.
— Comfortable working across the full hardware stack — from architectural specification and microarchitecture to physical implementation support.
— Language: English at a proficient level. French is a plus.
Условия:
— Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
— Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
— Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
— Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
— Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
— Reimbursement of 50% of the public transport subscription fee.
— A high-paced, multicultural (with 9 nationalities), and engineering-led environment.
Our Hiring Process: Your Journey to Arago
— Screening Call : Get to know you beyond your CV.
— Technical meeting : Deep dive into your past projects and technical achievements.
— CEO Interview : Assess the fit with the team’s culture and long-term vision.
— Reference Calls: Mandatory calls with your former managers to validate strengths, weaknesses, and work style.
— Technical Assessment: Take-home technical assignment crafted to the role you’re applying for.
— Final Interview : Discuss your technical assignment and address any remaining questions with team members.
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 are looking for candidates from the U.S. or Canada. Residents of Quebec are not eligible for this role.
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 Senior-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.
Key responsibilities:
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 we're looking for:
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.
Requirements:
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.
Nice to have:
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.
In Canada, the Base compensation range for this role is CAD $
164,490 - $197,389
.
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
.
#LI-Remote
*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:
— Сотрудничество с командами оптики, аналоговой и цифровой электроники для оптимизации дизайна вычислительного движка.
— Проектирование и создание внутренних инструментов для точного моделирования и оптимизации аппаратного обеспечения.
— Анализ влияния физического шума и искажений сигнала на производительность системы с разработкой математических моделей для их компенсации.
— Разработка моделей взаимодействия света и материи в архитектуре для поддержки цифровой и аналоговой команд.
— Математическая валидация архитектуры с обеспечением строгих численных доказательств для каждого решения по дизайну.
Требования:
— Минимум 5 лет опыта в релевантных областях: телекоммуникации, высокоскоростные сенсоры, оптимальное управление, обработка сигналов или смежные сферы.
— Глубокие знания и опыт программирования на C/C++ и Python.
— Высшее образование в области математики, физики или информатики с глубокими знаниями численного анализа, оптимизации и математического моделирования.
— Сильные навыки системного моделирования, включая идентификацию и моделирование источников вариабельности, шума и искажений с помощью аналитических и численных методов.
— Высокий уровень любознательности и подход "первых принципов" к решению нестандартных задач в аппаратно-программном кодизайне.
— Владение английским языком на профессиональном уровне; знание французского языка будет плюсом.
Условия:
— Конкурентная денежная компенсация, окончательный пакет зависит от локации, опыта и уровня команды.
— Значительный пакет опционов на акции, предлагаемый на ранних этапах компании.
— Бонус и покрытие расходов на переезд в радиусе 20 минут от офиса во Франции.
— Медицинское страхование, включая семейные опции, пенсионные взносы, поддержка профессионального развития.
— 25 дней оплачиваемого отпуска плюс государственные праздники.
— Возможность владения ключевой технической областью с перспективами вертикального и горизонтального роста.
— Возмещение 50% стоимости проездного на общественный транспорт.
— Работа в высокоскоростной, мультикультурной (10 национальностей) и инженерно-ориентированной среде.
Процесс найма:
— Скрининговый звонок для знакомства.
— Техническое собеседование с разбором проектов и достижений.
— Интервью с CEO для оценки соответствия культуре и видению.
— Референс-чек с бывшими менеджерами.
— Техническое задание на дом.
— Финальное интервью с обсуждением задания и ответами на вопросы.
Parloa — AI-стартап, который разрабатывает голосовых и текстовых ботов на замену операторов в колл-центрах крупных компаний. Среди клиентов — Booking.com, Allianz и SAP.
Размер команды — 201-500 человек. Инвестиции — $560M.
Технологии: TypeScript, React, React Router, Webpack, Turborepo.
Location: Remote Poland, Poland
Workplace: remote
WELCOME TO OLX
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX and see how far you can go.
Join Our Team as an AI-native Staff Backend Engineer!
Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Poland.
Are you someone who is craving scalable problems and dealing with optimizations?
You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been!
You will play a key role in enabling our organisation to scale efficiently.
Who we are looking for:
You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty.
You practice context engineering, not just prompt engineering; you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access.
You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration.
Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability.
You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment.
Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed.
Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives.
Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases.
Big-picture thinker: aligns technical decisions with business strategy, influences without authority.
Clear communicator in English across engineering, product, and leadership audiences.
Self-starter who identifies what needs doing and takes initiative without waiting to be asked.
Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise.
What you will be doing:
Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code.
Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints)
Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on.
Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories.
Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined.
Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe.
Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority
Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut.
Our Hiring Process:
Recruiter Screen
Management Capabilities
System Design
Live Coding
Our Benefits
Monthly salary and an annual bonus (20%)
Training and conference budget, and free access to Udemy courses
A benefits package with 500 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more
IP rights’ costs - 80%
100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw)
If you think this is the role for you, send your application in English and let’s talk!
If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech.
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
УдалённоseniorUnited States
ГибридMadrid, Spain; You lead by building, and you're demonstrably strong in production code, not only in design
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
leadSeoul; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
leadSeoul; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ОфисseniorShanghai
ОфисLimassol
ГибридNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
seniorГеография найма не уточнена
seniorRamat Gan
seniorCanada (Remote)
УдалённоRemote Poland, Poland; OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply
