Задачи:
— Создавать высокопроизводительные edge-сервисы на Go
— Проектировать архитектуру offline-first и синхронизацию cloud-to-edge
— Разрабатывать системы обмена сообщениями с использованием NATS, Kafka, MQTT
— Управлять развертыванием в Kubernetes с Helm
— Оптимизировать сервисы для edge-оборудования
— Участвовать в архитектурных и код-ревью
Требования:
— Опыт разработки ПО не менее 7 лет
— Уверенные знания Golang
— Опыт работы с распределёнными системами и event-driven архитектурой
— Знания Kubernetes, Helm, Docker
— Опыт работы с системами обмена сообщениями NATS, Kafka или аналогичными
— Знания OAuth2 и JWT
— Опыт работы с CI/CD
Будет плюсом:
— Знание MQTT
— Опыт работы с Spectro Cloud Palette
— Опыт в POS / ресторанных технологиях
— Знание GraphQL federation
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Location: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow.
We develop storage services like our open-source Objectstore https://github.com/getsentry/objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data.
As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way.
IN THIS ROLE YOU WILL
- Design and operate storage systems used across Sentry, including their configuration and performance tuning.
- Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in.
- Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow.
- Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools you build.
- Plan and build with other Platform and Infrastructure teams, including analytical storage and streaming, to deliver a complete, fault-tolerant platform for product teams. Align roadmaps and standards, and design for failures and recovery.
- Improve storage performance and cost efficiency by making better use of backends and resources, while keeping the platform simple for product teams.
- Write code primarily in Rust and Python, with clear user-facing documentation. Develop advanced testing scenarios, such as production-scale chaos tests covering backend and infrastructure outages.
- Own latency and availability SLOs for your services, improve monitoring and incident response, and participate in the team’s on-call rotation.
- Work within Postsres and perform database tuning or query optimization
YOU’LL LOVE THIS JOB IF YOU
- Enjoy digging into the internals of storage systems and understanding how they behave when traffic grows, requests race, or a dependency has a bad day.
- Care about a useful, easy-to-use API as much as what happens behind it.
- Like working with other engineers to understand their needs and make their day-to-day work easier.
- Want to follow your work from design and code through rollout and production for millions of developers.
- Want open-source contributions to be at the center of your day job.
QUALIFICATIONS
- 5+ years of software engineering experience building and operating distributed, stateful systems in production.
- Hands-on experience with object storage, relational databases, and caching systems at production scale. Experience with key-value or wide-column stores is a plus.
- An understanding of distributed systems fundamentals, including consistency, concurrency, and what happens when requests fail or need to be retried.
- Proficiency in a systems language such as Go, C++, Java, or Rust, and comfort working in Python. We primarily use Rust and Python, and welcome engineers who are new to Rust.
- Experience running services on Kubernetes in a cloud environment, including observability, SLOs, and incident response. Familiarity with Terraform is a plus.
- Good written and spoken English, especially in explaining technical choices and writing documentation.
- Nice to have: experience building shared libraries or internal APIs, migrating data between systems, or improving system performance and cost.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $200,000 to $420,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow.
We develop storage services like our open-source Objectstore https://github.com/getsentry/objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data.
As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way.
IN THIS ROLE YOU WILL
- Design and operate storage systems used across Sentry, including their configuration and performance tuning.
- Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in.
- Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow.
- Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools you build.
- Plan and build with other Platform and Infrastructure teams, including analytical storage and streaming, to deliver a complete, fault-tolerant platform for product teams. Align roadmaps and standards, and design for failures and recovery.
- Improve storage performance and cost efficiency by making better use of backends and resources, while keeping the platform simple for product teams.
- Write code primarily in Rust and Python, with clear user-facing documentation. Develop advanced testing scenarios, such as production-scale chaos tests covering backend and infrastructure outages.
- Own latency and availability SLOs for your services, improve monitoring and incident response, and participate in the team’s on-call rotation.
- Work within Postsres and perform database tuning or query optimization
YOU’LL LOVE THIS JOB IF YOU
- Enjoy digging into the internals of storage systems and understanding how they behave when traffic grows, requests race, or a dependency has a bad day.
- Care about a useful, easy-to-use API as much as what happens behind it.
- Like working with other engineers to understand their needs and make their day-to-day work easier.
- Want to follow your work from design and code through rollout and production for millions of developers.
- Want open-source contributions to be at the center of your day job.
QUALIFICATIONS
- 5+ years of software engineering experience building and operating distributed, stateful systems in production.
- Hands-on experience with object storage, relational databases, OR caching systems at production scale. Experience with key-value or wide-column stores is a plus.
- An understanding of distributed systems fundamentals, including consistency, concurrency, and what happens when requests fail or need to be retried.
- Proficiency in a systems language such as Go, C++, Java, or Rust, and comfort working in Python. We primarily use Rust and Python, and welcome engineers who are new to Rust.
- Experience running services on Kubernetes in a cloud environment, including observability, SLOs, and incident response. Familiarity with Terraform is a plus.
- Good written and spoken English, especially in explaining technical choices and writing documentation.
- Nice to have: experience building shared libraries or internal APIs, migrating data between systems, or improving system performance and cost.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $400,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Ищем Data Engineer в крупную технологическую компанию, которая разрабатывает высоконагруженные платформенные продукты для международных рынков в entertainment-индустрии. Внутри — развитое data-направление и задачи, связанные с построением и развитием современной платформы данных.
Чем предстоит заниматься:
— проектировать, разрабатывать и развивать data pipelines;
— работать с DWH: моделями данных, слоями, витринами и ETL/ELT-процессами;
— писать и оптимизировать сложные SQL-запросы;
— разрабатывать на Python инструменты и сервисы для работы с данными;
— поддерживать и развивать production-пайплайны;
— работать с большими объемами данных и распределенной обработкой;
— следить за качеством и надежностью данных;
— участвовать в выборе технических решений и развитии data-платформы;
— взаимодействовать с аналитиками, разработчиками и другими продуктовыми командами.
Для Senior-уровня также важен опыт самостоятельного проектирования архитектурных решений и способность брать ответственность за технический подход к задаче.
Требования:
— очень хорошее знание SQL и опыт работы со сложными запросами и большими объемами данных;
— уверенный Python: не только небольшие скрипты, но и production-код, библиотеки или внутренние инструменты;
— хорошее понимание принципов построения DWH;
— опыт проектирования и разработки ETL/ELT-процессов;
— понимание моделирования данных, построения витрин и контроля качества данных;
— умение самостоятельно разбираться в задаче и предлагать техническое решение.
Желательно:
— практический опыт с Airflow: разработка и поддержка DAG, scheduling, retries, backfill, monitoring;
— опыт с dbt или похожими инструментами трансформации данных;
— опыт со Spark и понимание распределенной обработки данных;
— работа с аналитическими СУБД: ClickHouse, Greenplum, Vertica или другими MPP/OLAP-системами.
Будет плюсом:
— Kafka;
— Iceberg;
— Trino;
— Docker / Kubernetes;
— CI/CD;
— понимание подходов Data Mesh;
— участие в open-source или собственные технические проекты.
Условия:
— full-time;
— удаленный формат работы;
— гибкое начало рабочего дня;
— корпоративная техника;
— испытательный срок 3 месяца;
— расширенный пакет бенефитов после испытательного срока: медицинская страховка, бюджет на спорт / языки / дополнительное медицинское покрытие, дополнительные оплачиваемые дни отдыха;
— внутренние технические встречи, тренинги и возможность участия в профессиональных конференциях и обучении.
Процесс:
Знакомство с рекрутером → короткий технический скрининг → технические секции по SQL, DWH и Python → для кандидатов Senior-уровня дополнительная секция по архитектуре и проектированию → встреча с командой.
Location: United States (Remote); San Francisco, California
Workplace: Remote
SUMMARY
The Cloud Capacity team plays a critical role in ensuring the Temporal Cloud is scalable, efficient, and reliable for our customers’ most important workloads. As a Senior Engineer, you’ll lead high-impact initiatives to build systems that intelligently manage and forecast resource needs, directly influencing our infrastructure efficiency, customer experience, and platform cost strategy.
What You'll Do
- Drive the technical vision and roadmap for Temporal’s Cloud Capacity systems in partnership with engineering and product leadership.
- Design and implement infrastructure to track resource utilization, forecast consumption, and support automated capacity planning at scale.
- Lead development of a resource manager that optimizes infrastructure efficiency based on usage trends, cost insights, and evolving customer needs.
- Collaborate cross-functionally with Product, Cloud Infrastructure, and Finance to inform business-critical decisions around provisioning, pricing, and scaling.
- Guide long-term strategy to support intelligent autoscaling, workload isolation, and predictable performance in a multi-tenant cloud environment.
What You'll Bring
- Proven experience contributing to large-scale infrastructure efforts spanning cloud compute, storage, and networking systems.
- Strong product and operational intuition around managing cloud costs, utilization tracking, and workload forecasting.
- A track record of designing distributed systems and services in a production cloud environment (preferably AWS, GCP, or Azure).
- Hands-on experience with container orchestration technologies (e.g., Kubernetes) and the surrounding ecosystem.
- Exceptional collaboration and communication skills—you influence through clarity, and you bring others along for the journey.
- Comfortable aligning cross-functional stakeholders on complex infrastructure problems, including executives and finance partners.
- 7+ years of experience building production software using Go, Java, or similar languages.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Задачи:
— строить и поддерживать отказоустойчивую инфраструктуру
— разрабатывать облачные backend-сервисы
— создавать API
— реализовывать AI workflows
Требования:
— опыт работы с Kubernetes, IAM, API, Terraform, WebSocket, GCP, Python, Docker, AWS, REST, CDK
Условия:
— удалённая работа
Location: Remote, Global
ABOUT THE ROLE
We are seeking a platform engineer to join our Compute team. This team owns the critical systems that power project provisioning, scaling, and the compute that our users rely on every day.
You’ll work on the core platform that ensures Supabase can seamlessly scale
across multiple regions, handle high-volume workloads, and provide
low-latency, highly available compute services.
You'll design, build, and operate systems that are both robust and highly
automated — enabling us to provision new projects reliably at scale,
optimize resource utilization, and deliver a seamless experience to the
millions of databases which we manage.
WHAT YOU’LL BE RESPONSIBLE FOR:
- Help build and maintain the Supabase Cloud offering;
- Design and implement systems to provision, scale, and manage the multi-region compute workloads powering Supabase projects;
- Own the full lifecycle of compute orchestration: project creation, warm pools, autoscaling, resizing, and resource optimization;
- Improve automation and observability across the compute stack to ensure high availability and performance;
- Improve our system architecture to reduce costs while balancing security, reliability, and performance;
- Collaborate cross-functionally with other teams to help leverage compute as a core platform offering;
- Participate in on-call rotations, incident response, and post-incident reviews;
- Resolve escalated support issues, while also identifying and resolving systemic issues across the platform.
YOU MIGHT BE A GOOD FIT IF YOU:
- Have strong software engineering skills (Go and Typescript required);
- Experience building and operating cloud infrastructure or distributed systems at scale;
- Have 5+ years experience with cloud infrastructure (AWS required, additional experience with GCP and Azure is a plus) - particularly compute, networking, and storage services;
- Have 3+ years experience working with building custom Kubernetes controllers, and operating large-scale (tens-to-hundreds of thousands of pods) clusters;
- Are knowledgable about networking and multi-region infrastructure design;
- Are familiar with Postgres;
- Have experience with Infrastructure as Code tools (Pulumi highly preferred, Terraform/CDK etc acceptable)
- Have experience working with QEMU, KVM, and NAS is a plus;
- Have experience with being part of on-call rotations for large production system;
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Задачи:
— Участие в разработке и оптимизации сервисов платежной платформы
— Переписывание монолитного приложения на Python в микросервисную архитектуру на Go
— Работа с высоконагруженными системами (до 3к RPS)
Требования:
— Опыт разработки на Go от 5 лет
— Опыт работы с Kafka и PostgreSQL под нагрузкой
— Знание стека: Go, PostgreSQL, Kafka, Redis, ClickHouse, Kubernetes
— Опыт работы с микросервисной архитектурой
Условия:
— Полностью удаленная работа
— Оформление через ИП или самозанятость
— Возможна оплата в валюте/крипте для кандидатов не из РФ
— Минимум созвонов
Задачи:
— Сотрудничество по модели аутстаф.
Требования:
— Глубокое понимание Linux (от загрузки до сетевого стека) и уверенное владение Bash и Python для автоматизации.
— Коммерческий опыт с Kubernetes (администрирование, troubleshooting) и Docker (включая оптимизацию сборок).
— Умение проектировать и поддерживать полный цикл CI/CD (предпочтительно на GitLab CI) и инфраструктуру как код (Terraform/Ansible).
— Навыки построения систем мониторинга, логирования и алертинга на базе Prometheus, Grafana и ELK-стека.
— Опыт работы со смежными сервисами: репозитории артефактов (Nexus), базы данных (PostgreSQL), брокеры сообщений (Kafka/RabbitMQ) и средства безопасности (Vault).
— Знание сетевых и веб-технологий: HTTP/S, Nginx/HAproxy, стандарты аутентификации OIDC/OAuth 2.0 и Keycloak.
— Опыт администрирования Big Data платформ: Hadoop ecosystem, Spark/Flink, Kafka, Hive/Trino.
— Опыт работы с lakehouse-стеком: Iceberg/Paimon, Greenplum, Cassandra, MinIO/S3.
— Умение управлять Big Data-компонентами через Kubernetes Operators и строить пайплайны в Airflow.
— Знакомство с CDC (Debezium) и оркестрацией потоков данных.
Будет плюсом:
— Опыт работы по GitOps-методологии с ArgoCD и Helm.
— Глубокое знание облачных платформ – Yandex Cloud, AWS.
— Навыки в области DevSecOps.
— Опыт работы с Go или Java для чтения и отладки кода приложений.
— Опыт с Istio, Kerberos, Puppet.
Условия:
— Удалённая работа, аутстаф.
— Варианты оформления: ИП или самозанятость.
— Гибкий график и возможность совмещать с другими проектами.
— Компания берёт на себя заботы по поиску проекта, общению с заказчиком и оплате.
— Помощь в согласовании удобного графика работы с клиентом.
— Возможность взять следующий проект при успешном сотрудничестве.
Задачи:
— Разрабатывать новые backend-сервисы и поддерживать существующие
— Проектировать, разрабатывать и интегрировать RESTful API с использованием FastAPI
— Проектировать и оптимизировать схемы, индексы и запросы PostgreSQL
— Писать unit и интеграционные тесты, участвовать в код-ревью, поддерживать качество кода
— Строить и поддерживать CI/CD пайплайны для автоматического тестирования и деплоя
— Контейнеризировать и деплоить сервисы с помощью Docker и Kubernetes
— Реализовывать аутентификацию, авторизацию и практики безопасного кодирования
— Интегрировать AI-возможности с использованием MCP (Model Context Protocol)
— Оптимизировать производительность приложения и эффективность базы данных
— Сотрудничать с frontend-разработчиками и продуктовыми командами
Требования:
— Опыт коммерческой backend-разработки от 3 лет
— Глубокие знания Python и FastAPI
— Практический опыт с PostgreSQL, оптимизацией SQL, индексами и миграциями
— Опыт с pytest, unit и интеграционным тестированием, принципами TDD
— Опыт работы с CI/CD инструментами (GitHub Actions, GitLab CI или аналогичными)
— Практический опыт с Docker и Kubernetes
— Понимание принципов проектирования REST API и безопасности приложений
— Знание Git и практик совместной разработки
— Владение английским языком
Будет плюсом:
— Опыт с MCP и интеграциями AI-инструментов/агентов
— Async Python (asyncio, async SQLAlchemy)
— SQLAlchemy и Alembic
— Сообщения и очереди (RabbitMQ, Kafka, Redis)
— Облачные платформы (AWS, GCP, Azure)
— Кэширование (Redis, Memcached)
Условия:
— Полная занятость, работа в офисе в Ташкенте, Узбекистан
— Официальное трудоустройство по законодательству Узбекистана
— Бесплатные обеды
— Компенсация спортивных и фитнес-активностей
— Корпоративные мероприятия и тимбилдинги
Location: Vladivostok
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 Junior Developer (AI Engineering) to join the Xsolla Partner Network (XPN) team, a platform that connects game studios and publishers with content creators. The position involves participation in all stages of work on an automated content generation system: from stabilising the existing vertical video pipeline for YouTube Shorts, TikTok and Instagram Reels to developing the agentic architecture, launching the virtual AI creator direction and building analytics on the results. Working with the team means applying cutting-edge generative models and agentic tools to a real production product every day, seeing the direct effect of your work in content metrics, and learning from the inside how the games industry, the creator economy and content-driven game promotion work. The developer will work with a live system that has a real audience and measurable results, make technical decisions independently, build expertise in generative AI and take on the role of the project's technical owner as it grows.
Responsibilities
Take over the existing vertical video generation pipeline (script → voiceover → visuals → subtitles → editing → auto-posting → tracking links) for YouTube Shorts, TikTok and Instagram Reels, understand it from the docs and code, and bring it to stable operation.
Grow the pipeline: improve content quality and virality, scale up generation volume, reduce cost and turnaround time per video.
Keep track of new generation models and services (video, image, voice, LLM), test them quickly and replace outdated parts of the pipeline with better or cheaper ones.
Launch and develop the virtual AI creator direction: a consistent character, voice, style and content plan.
Design and improve agents: write and debug prompts and sub-agent roles, validation between phases, context and cost control.
Build a dashboard for running generation and tracking content analytics (views, clicks, conversions, cost per video).
Automate publishing: platform integrations, posting from mobile devices, scaling channels.
Write clean, testable, documented code, including unit and integration tests.
Requirements
Solid Python, basic bash.
Hands-on experience with LLM APIs (Claude, OpenAI, etc.) and agentic pipelines: a real project, pet project or hackathon entry you can show and talk through.
Experience using Claude Code, Cursor or similar tools as a working environment, not just as autocomplete.
Understanding of prompt engineering basics: defining an agent's role, limiting context, getting stable structured output.
Understanding of Git, team development and Docker basics.
Ability to work with REST APIs and webhooks, basic understanding of databases (SQL).
Understanding of vertical content: games, creators, streams, TikToks, Shorts, how video discovery works, what shadowbans are, how mobile posting farms are set up. A big plus if this is your hobby: your own channel, editing, streaming, experiments with AI generation.
Ownership: the ability to take a task end to end and deliver a result without external supervision.
Initiative: your own proposals on improving the pipeline, new models and automation, and the readiness to implement them yourself.
Ability to figure out someone else's system from code and documentation, reconstruct the logic and ask the right questions.
Independence in technical decisions and openness in communication: flag problems immediately.
Product thinking: measuring results by content metrics (views, retention, clicks) and cost per video.
Ability to explain the system's capabilities and limitations to non-technical colleagues.
Experimental mindset: fast hypothesis testing and the willingness to drop what did not work.
Desire to grow with the project: from stabilising the current pipeline to becoming its technical owner.
English at the level of reading technical documentation (Intermediate+).
Nice to have
Experience with video and image generation via API (
fal.ai
, Kling, Runway, Seedance, Nano Banana, etc.), TTS and speech recognition (Whisper and similar).
ffmpeg: assembly, normalisation, subtitles, overlays.
Experience building reliable calls to paid APIs: retries, idempotency, cost tracking.
n8n or other workflow tools.
Telegram bots, YouTube / TikTok / Instagram / Discord APIs.
Android / mobile device automation.
Supabase or PostgreSQL.
Experience with GCP, Docker, Kubernetes.
Observability and monitoring (Datadog, OpenTelemetry).
Your own channel, pet projects, open-source experience or hackathon participation.
Benefits
Convenient working tools:
New Mac laptop and any other necessary equipment for your efficient work.
Google Workspace, Atlassian, Jira, Slack
Professional growth:
Exchange of experience between employees within the company
Opportunity for professional growth within the company and department
Obtaining expertise in various areas and products of the company
More perks
Possibility of flexibility working
Access to the corporate library
No dress code
Comfortable and new office environment
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
🎯 Your main goal will be to identify and reduce security risks across n8n's product and internal systems, using threat modelling, hands-on security expertise, and cross-functional collaboration to help teams design, build, and operate more secure systems.
You'll join our growing security team at a pivotal stage, acting as a trusted security partner to teams across the business. You'll help us build a move from reactive security management to a proactive, scalable security practice.
Here's what you'll be driving:
THREAT MODELLING, RISK ASSESSMENT & SECURITY DESIGN
- Conduct threat modelling and risk assessments across product features, AI agents, cloud infrastructure, corporate IT, internal applications, and data systems, identifying vulnerabilities and recommending practical mitigations.
- Partner with Engineering, Cloud, IT, and Data teams to review security designs, define actionable security requirements, and influence the implementation of appropriate controls.
- Help teams embed security into their development processes through secure coding guidance, design reviews, documentation, and security tooling that enables them to identify and address risks independently.
VULNERABILITY MANAGEMENT & COORDINATED DISCLOSURE
- Participate in the security triage rotation, assessing incoming vulnerability reports, validating findings, and prioritising remediation based on severity and business impact.
- Collaborate with engineering teams to coordinate vulnerability remediation, verify fixes, and support secure patch and release processes.
- Help manage our vulnerability disclosure and bug bounty programmes, including engagement with security researchers, coordinated disclosures, and GitHub Security Advisories.
SECURITY OPERATIONS & INCIDENT READINESS
- Help establish and improve logging, detection, and protective monitoring capabilities across our infrastructure, corporate systems, and internal applications.
- Develop and improve incident response processes, runbooks, and exercises to strengthen our ability to detect, investigate, and respond to security incidents.
- Work closely with system owners to identify security gaps, prioritise remediation, and verify that implemented controls effectively reduce risk.
CUSTOMER TRUST & COMPLIANCE ENGINEERING
- Support SOC 2 compliance by helping establish continuous control monitoring, automated evidence collection, and processes that make security assurance part of everyday operations.
- Collaborate with Sales, Solutions Engineering, and Customer Success to respond to customer security assessments and build reusable resources that streamline future requests.
- Partner with Legal, Finance, IT, and other stakeholders to assess security risks, improve security policies and controls, and strengthen trust with enterprise customers.
We're hiring two Security Engineers with complementary strengths, so you don't need to be an expert in every security domain.
REQUIREMENTS
MUST-HAVES
- 🔍 Threat Modelling & Risk Assessment: You have hands-on experience assessing real-world systems, identifying security risks, determining defensible severity levels, and recommending practical controls that teams can implement.
- 🛠️ Technical Security Expertise: You can validate security findings, reproduce vulnerabilities, develop proof-of-concepts, and write code or automation when needed to demonstrate risks or improve security processes.
- 🔐 Security Engineering Experience: You've worked hands-on in infrastructure, product, or application security within a product-focused organisation, with a strong understanding of how modern systems are designed and secured.
- 🤝 Cross-functional Influence: You're comfortable acting as an internal security consultant, advising teams, challenging technical decisions constructively, and influencing stakeholders without direct authority.
- 🎯 Risk Remediation & Ownership: You've helped secure systems you don't directly own, translating security findings into actionable requirements and working with responsible teams to ensure effective remediation.
- 🤖 AI & LLM Fluency: You're comfortable using LLM-assisted tooling and understand its limitations, security implications, and potential failure modes.
- ✍️ Clear Communication: You can explain complex security risks, document technical findings, and provide practical guidance that engineers and non-technical stakeholders can confidently act on.
You also bring deep expertise in at least two of the following areas:
- 💻 Application Security: You've developed security checks, engineering guardrails, tooling, or guidance that helps product teams build and ship secure software.
- ☁️ Platform Security: You have experience securing a major cloud provider and Kubernetes environments, including areas such as sandboxing, multi-tenancy, or identity.
- 🔑 Corporate Security: You've worked on identity and access management, endpoint security, employee access lifecycles, or data access controls across corporate environments.
- 🚨 Security Monitoring: You've implemented logging, protective monitoring, or security detection capabilities that support effective investigation and incident response.
- 📋 Security Assurance & Compliance: You've supported SOC 2 or ISO 27001 from an engineering perspective, including implementing technical controls or automating compliance evidence collection.
NICE-TO-HAVES
- 🐛 Vulnerability Disclosure: You've helped operate bug bounty or coordinated vulnerability disclosure programmes, including publishing security advisories such as GHSAs or CVEs.
- 🧠 AI & Agent Security: You have experience assessing or securing LLM-powered applications and AI agents, including risks related to permissions, tool access, prompt injection, or sensitive data.
- 🏢 Corporate IT Tooling: You're familiar with platforms such as Okta, Azure, or Drata and their role in securing corporate systems and supporting compliance.
- 🌍 Open-source Ecosystems: You've worked with open-source or source-available products, contributed to security communities, or are already familiar with n8n.
- 🎯 Penetration Testing: You have practical penetration testing experience and can independently identify, demonstrate, and help remediate security vulnerabilities.
- 🌱 Early-stage Security Experience: You've been an early security hire or helped establish security practices in a startup or rapidly scaling organisation.
Why join us?
At n8n, you'll help shape security at a defining stage of our growth. We're building a security practice that goes beyond reacting to vulnerabilities, and you'll play a key role in how we identify risks, influence engineering decisions, and establish security practices that scale with the business.
You'll work across a broad range of challenges, from securing AI-powered product features and our source-available automation platform to improving corporate security, strengthening incident readiness, and making compliance more automated. You'll have direct exposure to teams across the company, the opportunity to influence important technical decisions, and the autonomy to turn your expertise into measurable security improvements.
Sound like a challenge you're excited to take on?
Apply now — and help us build the future of secure automation.
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Задачи:
— Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
— Develop recommendation, ranking, classification, and predictive ML models.
— Own end-to-end ML pipelines from data processing and training to deployment and monitoring.
— Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure.
— Work with Product and Engineering to measure business impact through KPIs and experiments.
— Improve AI system scalability, reliability, cost, governance, and performance.
Требования:
— 4–5+ years in AI, ML, or Data Science.
— Strong Python, SQL, and production ML experience.
— Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering.
— Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex.
— Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform.
— Experience with Kafka, ETL pipelines, vector databases, and search systems.
— Ability to independently take AI projects from idea to production.
Плюсом будет:
— Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership.
— Candidate should be able to work on US time schedule.
— Good English conversation skill is much much preferred.
Задачи:
— Сопровождение и развитие микросервисной инфраструктуры (Kubernetes, PostgreSQL).
— Настройка и развитие CI/CD-пайплайнов, контроль изменений в промышленной среде.
— Поиск и устранение причин отказов приложений и сервисов, совместная проработка решений с командой разработки.
— Поддержание актуальной картины рисков инфраструктуры и регулярная переоценка.
— Работа с SAST, DAST, SCA: настройка покрытия, анализ результатов, приоритизация уязвимостей по эксплуатируемости.
— Управление правами доступа (RBAC/ABAC, принцип наименьших привилегий), секрет-менеджмент (Vault и аналоги).
— Внедрение и поддержка security gateway, согласование релизов новых функций с ИБ.
— Экспертная поддержка команд разработки по вопросам безопасности: объяснение фиксов.
Требования:
Security:
— Понимание процесса безопасной разработки, расположение SAST/DAST/SCA в пайплайне, умение читать результаты и отличать TP от FP.
— Опыт эксплуатации хотя бы одного класса инструментов из SAST/SCA (AppScreener, Semgrep, CodeQL, Trivy, Dependency-Track и др.), включая настройку покрытия и работу с качеством срабатываний.
— Базовое знание типовых классов уязвимостей (OWASP Top 10, API Security Top 10) и умение объяснить разработчику фиксы.
— Опыт риск-ориентированной работы: описание риска, оценка, отслеживание закрытия.
DevOps:
— Администрирование Kubernetes и PostgreSQL.
— Настройка CI/CD (GitLab CI, GitHub Actions или аналог).
— Опыт сопровождения микросервисной инфраструктуры в продакшене.
— Понимание принципов observability (мониторинг, логирование, трассировка).
Общие:
— Уверенное владение русским и английским (B1+ для чтения документации).
— Опыт работы в роли DevOps/SRE от 3 лет, из них хотя бы 1 год с фокусом на безопасность.
— Самостоятельность, инициативность, способность выстраивать процессы с нуля.
Будет плюсом:
— Опыт с E2EE-мессенджерами, Matrix, matrix-rust-sdk.
— Знакомство с прикладной криптографией (AES-GCM, keychain, понимание угроз на клиенте).
— Опыт работы с self-hosted раннерами CI, XcodeGen, SwiftLint (если есть мобильная часть).
— Опыт AI-assisted разработки (Claude Code, Cursor) и готовность внедрять эти процессы.
Условия:
— Полная удаленная работа, гибкий график с асинхронной коммуникацией (основной оверлап по МСК с 10 до 19).
— Зарплата: 2200 - 3600 (обсуждается по результатам собеседования, выплаты 2 раза в месяц в долларах).
— Минимум бюрократии, прямое влияние на архитектуру и процессы.
— Возможность построить security-культуру в растущем стартапе.
Процесс отбора:
— HR Screening.
— Интервью с CEO / CPO / CHRO и TL DevOPS.
— Возможно, но не обязательно: техническое интервью с DevOps Lead и ИБ.
— Оффер.
Задачи:
— Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
— Develop recommendation, ranking, classification, and predictive ML models.
— Own end-to-end ML pipelines from data processing and training to deployment and monitoring.
— Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure.
— Work with Product and Engineering to measure business impact through KPIs and experiments.
— Improve AI system scalability, reliability, cost, governance, and performance.
Требования:
— 4–5+ years in AI, ML, or Data Science.
— Strong Python, SQL, and production ML experience.
— Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering.
— Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex.
— Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform.
— Experience with Kafka, ETL pipelines, vector databases, and search systems.
— Ability to independently take AI projects from idea to production.
Плюсом будет:
— Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership.
— Candidate should be able to work on US time schedule.
— Good English conversation skill is much much preferred.
Задачи:
- Разработка и интеграция современной платежной платформы, поддерживающей безопасную и надежную обработку платежей и взаимодействие с внешними системами.
- Работа с масштабируемыми микросервисами, асинхронной обработкой транзакций, обработкой статусов платежей и ошибок с акцентом на устойчивость, безопасность и высокую доступность.
Требования:
- Опыт работы системным аналитиком не менее 3 лет.
- Практический опыт с платежными системами и глубокое понимание жизненного цикла платежных транзакций, включая ключевые этапы обработки, статусы и переходы состояний.
- Опыт документирования бизнес- и системных требований.
- Опыт подготовки интеграционных спецификаций.
- Практический опыт работы с REST API.
- Хорошее понимание JSON.
- Практический опыт работы с SQL.
- Знание UML и BPMN.
- Понимание принципов идемпотентности.
- Понимание синхронных и асинхронных сценариев интеграции.
- Опыт взаимодействия с разработчиками, QA-инженерами и архитекторами.
- Опыт декомпозиции требований до уровня, достаточного для разработки и тестирования.
- Прямой практический опыт работы с Compass Payment.
- Уровень английского языка от Intermediate и выше.
Условия:
- Работа в гибридном формате в городе Алматы.
- Зарплата от 1 000 000 до 1 700 000 KZT брутто в месяц.
- Возможность профессионального, финансового и карьерного роста.
- Система наставничества и адаптации для новых сотрудников.
- Возможность дополнительного заработка до 1 000 EUR в месяц в виде годового бонуса.
- Доступ к корпоративному порталу обучения с постоянно обновляемой базой знаний.
- Корпоративная жизнь: мероприятия, игры, питание.
- Компенсация сертификаций (AWS, PMP и др.).
- Реферальная программа.
- Частная медицинская страховка и компенсация спортивных расходов в зависимости от типа занятости.
Проект:
- Клиент — крупная международная технологическая компания в области цифровой инфраструктуры.
- Разработка и поддержка высоконагруженных платформ с распределёнными системами, облачными средами, интеграциями и продвинутыми практиками безопасности.
- Фокус на надёжность, масштабируемость и непрерывное развитие платформы.
Технологический стек проекта:
Compass Payment, Go, Microservices, REST, gRPC, Protobuf, Kafka, PostgreSQL, Docker, Kubernetes, Event-Driven Architecture, CQRS, Saga, Transactional Outbox, OAuth, TLS, API & Integration Testing, Monitoring & Distributed Tracing.
ГибридАлматы
Canada - Remote
ГибридseniorToronto, Ontario, Canada
ГибридseniorSan Francisco, California
География найма не уточнена, офис: Белград
УдалённоseniorUnited States (Remote); San Francisco, California
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