Forwarded from Remote IT (Inflow)
Infrastructure Software Engineer | https://teletype.in/@kovesh/XpjV2ebWTj- #software #remote #relocation #itjob
Teletype
Infrastructure Software Engineer
Remote | ICT
Forwarded from Global Outstaff (Inflow)
Всем доброго дня! INFLOW и F.A.C.T.S. объявляют о тестовом запуске нового проекта - мы будем подбирать кандидатов для крупных, проверенных аутстаф компаний и публиковать здесь вакансии на фул и парт тайм. В ближайшее время основные позиции будут для резидентов за пределами РБ и РФ, но в русскоязычные команды. Подписывайтесь и откликайтесь одни из первых - @goutstaff
Forwarded from Global Outstaff (Inflow)
Go Backend Developer
We are seeking an experienced Go Backend Engineer to join the team responsible for transforming the platform into a multi-tenant, event-driven architecture. The ideal candidate has deep hands-on experience with Go microservices, distributed data flows, and Kubernetes-based deployments in cloud environments.
This role involves designing and developing backend services, integrating real-time messaging pipelines, ensuring high observability standards, and collaborating with platform, data, and DevOps teams.
Technical Requirements
· 5+ years of backend software development experience.
· Strong professional experience with Go (Golang).
· Practical experience designing or maintaining microservices.
· Experience with Redis and PostgreSQL.
· Experience with event-driven messaging systems such as Apache Pulsar (preferred), Kafka, or NATS.
· Hands-on knowledge of Kubernetes, including deployments, scaling, and configuration.
· Familiarity with cloud platforms (AWS, GCP, or Azure).
· Experience working with CI/CD pipelines.
· Understanding of data pipelines, ETL, streaming, or data governance concepts.
Nice to Have
· Experience with Python (especially for data workflows).
· Experience with Ruby on Rails ecosystem or background.
· Experience implementing observability stacks (Prometheus, Grafana, OpenTelemetry).
· Experience designing multi-tenant data architectures.
Responsibilities
· Design, implement, and maintain Go microservices powering the data platform.
· Integrate services with Apache Pulsar (or equivalent streaming tools) to support real-time data distribution.
· Ensure observability and reliability through logging, metrics, and tracing.
· Deploy and maintain services in Kubernetes environments across cloud platforms.
· Collaborate with Data Engineering, Platform, and DevOps teams during architecture and implementation stages.
· Participate in technical discussions, code reviews, and performance optimizations.
Полностью удалённая работа (ЗА ПРЕДЕЛАМИ РФ И РБ) !!!!
Контракт с компанией в зоне EU.
Долгосрочный проект.
Full time
Откликаясь на вакансию пожалуйста уточняйте:
* присылайте резюме на английском в PDF
* когда готовы приступить
* свои зп ожидания
* локацию
Пишите пожалуйста @goutsta
We are seeking an experienced Go Backend Engineer to join the team responsible for transforming the platform into a multi-tenant, event-driven architecture. The ideal candidate has deep hands-on experience with Go microservices, distributed data flows, and Kubernetes-based deployments in cloud environments.
This role involves designing and developing backend services, integrating real-time messaging pipelines, ensuring high observability standards, and collaborating with platform, data, and DevOps teams.
Technical Requirements
· 5+ years of backend software development experience.
· Strong professional experience with Go (Golang).
· Practical experience designing or maintaining microservices.
· Experience with Redis and PostgreSQL.
· Experience with event-driven messaging systems such as Apache Pulsar (preferred), Kafka, or NATS.
· Hands-on knowledge of Kubernetes, including deployments, scaling, and configuration.
· Familiarity with cloud platforms (AWS, GCP, or Azure).
· Experience working with CI/CD pipelines.
· Understanding of data pipelines, ETL, streaming, or data governance concepts.
Nice to Have
· Experience with Python (especially for data workflows).
· Experience with Ruby on Rails ecosystem or background.
· Experience implementing observability stacks (Prometheus, Grafana, OpenTelemetry).
· Experience designing multi-tenant data architectures.
Responsibilities
· Design, implement, and maintain Go microservices powering the data platform.
· Integrate services with Apache Pulsar (or equivalent streaming tools) to support real-time data distribution.
· Ensure observability and reliability through logging, metrics, and tracing.
· Deploy and maintain services in Kubernetes environments across cloud platforms.
· Collaborate with Data Engineering, Platform, and DevOps teams during architecture and implementation stages.
· Participate in technical discussions, code reviews, and performance optimizations.
Полностью удалённая работа (ЗА ПРЕДЕЛАМИ РФ И РБ) !!!!
Контракт с компанией в зоне EU.
Долгосрочный проект.
Full time
Откликаясь на вакансию пожалуйста уточняйте:
* присылайте резюме на английском в PDF
* когда готовы приступить
* свои зп ожидания
* локацию
Пишите пожалуйста @goutsta
❤3
Forwarded from Global Outstaff (Inflow)
Senior Machine Learning Engineer (FinTech / Trading)
Full-time · Long-term
We are looking for a Senior Machine Learning Engineer with a strong background in financial data, large-scale ML systems, and production-level model deployment.
You will play a key role in building AI-powered trading models and agentic systems for a global hedge fund.
Your work will directly influence trading performance, risk management, and the fund’s core investment strategies.
Minimum Qualifications
- 6+ years of experience in Machine Learning / Deep Learning
- Strong production expertise with Python (NumPy, Pandas, PyTorch or TensorFlow)
- Proven experience training and shipping deep-learning models to production
- Experience building large-scale ML systems and ML/Data pipelines
- Hands-on experience with financial datasets, including:
- time-series
- tick / market data
- order book data
- equities, options, futures
- Solid understanding of:
- market microstructure
- feature engineering for trading
- look-ahead bias
- backtesting and model validation
- regime shifts and non-stationary markets
- Strong knowledge of algorithms, data structures, and software engineering principles
- Experience working in cloud environments (AWS/GCP/Azure), Docker, CI/CD
- Advanced English — ability to present work, join discussions, and communicate with analysts/traders
Preferred Qualifications
- Master’s or PhD in Computer Science, Mathematics, Engineering, or related fields
- Experience working in hedge funds, trading firms, or fintech
- Experience leading complex technical projects or mentoring engineers
- Background in:
- risk models
- options pricing
- forecasting / alpha signal generation
- portfolio optimization
- Experience with agentic systems, tool-based LLM pipelines, or multi-agent architectures
- Experience integrating multiple external market data sources
Responsibilities
- Design, train, and deploy ML and agentic models for financial markets
- Build and maintain large-scale ML pipelines processing multi-source financial data
- Work closely with financial analysts to translate domain expertise into ML systems
- Integrate models into trading infrastructure together with backend engineers
- Analyze market data, build features, and optimize predictive performance
- Improve existing models and contribute to next-generation trading algorithms
Полностью удалённая работа (ЗА ПРЕДЕЛАМИ РФ И РБ) !!!!
Контракт с компанией в зоне EU.
Долгосрочный проект.
Full time
Откликаясь на вакансию пожалуйста уточняйте:
* присылайте резюме на английском в PDF
* когда готовы приступить
* свои зп ожидания
* локацию
Пишите пожалуйста @goutsta
Full-time · Long-term
We are looking for a Senior Machine Learning Engineer with a strong background in financial data, large-scale ML systems, and production-level model deployment.
You will play a key role in building AI-powered trading models and agentic systems for a global hedge fund.
Your work will directly influence trading performance, risk management, and the fund’s core investment strategies.
Minimum Qualifications
- 6+ years of experience in Machine Learning / Deep Learning
- Strong production expertise with Python (NumPy, Pandas, PyTorch or TensorFlow)
- Proven experience training and shipping deep-learning models to production
- Experience building large-scale ML systems and ML/Data pipelines
- Hands-on experience with financial datasets, including:
- time-series
- tick / market data
- order book data
- equities, options, futures
- Solid understanding of:
- market microstructure
- feature engineering for trading
- look-ahead bias
- backtesting and model validation
- regime shifts and non-stationary markets
- Strong knowledge of algorithms, data structures, and software engineering principles
- Experience working in cloud environments (AWS/GCP/Azure), Docker, CI/CD
- Advanced English — ability to present work, join discussions, and communicate with analysts/traders
Preferred Qualifications
- Master’s or PhD in Computer Science, Mathematics, Engineering, or related fields
- Experience working in hedge funds, trading firms, or fintech
- Experience leading complex technical projects or mentoring engineers
- Background in:
- risk models
- options pricing
- forecasting / alpha signal generation
- portfolio optimization
- Experience with agentic systems, tool-based LLM pipelines, or multi-agent architectures
- Experience integrating multiple external market data sources
Responsibilities
- Design, train, and deploy ML and agentic models for financial markets
- Build and maintain large-scale ML pipelines processing multi-source financial data
- Work closely with financial analysts to translate domain expertise into ML systems
- Integrate models into trading infrastructure together with backend engineers
- Analyze market data, build features, and optimize predictive performance
- Improve existing models and contribute to next-generation trading algorithms
Полностью удалённая работа (ЗА ПРЕДЕЛАМИ РФ И РБ) !!!!
Контракт с компанией в зоне EU.
Долгосрочный проект.
Full time
Откликаясь на вакансию пожалуйста уточняйте:
* присылайте резюме на английском в PDF
* когда готовы приступить
* свои зп ожидания
* локацию
Пишите пожалуйста @goutsta
❤1
Получить оффер в зарубежной IT-компании часто сложнее, чем ожидаешь.
Даже при сильном опыте, современном стеке и хорошем портфолио многие работодатели не готовы оформлять визы — это долго, дорого и требует от них бюрократии. Поэтому кандидатов из-за рубежа часто просто не рассматривают. Но есть другой путь.
Это Визы в Америку на основе талантов (EB-1, EB-2, EB-3, 0-1)
Ваших текущих навыков может быть достаточно, чтобы переехать в США — без джоб-оффера, без лотереи и спонсора.
📌 США охотно выдают визы и даже Green Card IT-специалистам с высоким уровнем компетенций и подтверждёнными достижениями.
Просто узнайте свои шансы — бесплатно.
Команда Migrator оценит ваши компетенции и подберёт иммиграционный маршрут, если вы подходите под критерии: https://migrator.me/new?utm_source=telegram&utm_medium=banner&utm_campaign=relocats
P. S. Если вашу визовую петицию не одобрят, Migrator вернет деньги. Это прописано в договоре.
Даже при сильном опыте, современном стеке и хорошем портфолио многие работодатели не готовы оформлять визы — это долго, дорого и требует от них бюрократии. Поэтому кандидатов из-за рубежа часто просто не рассматривают. Но есть другой путь.
Это Визы в Америку на основе талантов (EB-1, EB-2, EB-3, 0-1)
Ваших текущих навыков может быть достаточно, чтобы переехать в США — без джоб-оффера, без лотереи и спонсора.
📌 США охотно выдают визы и даже Green Card IT-специалистам с высоким уровнем компетенций и подтверждёнными достижениями.
Просто узнайте свои шансы — бесплатно.
Команда Migrator оценит ваши компетенции и подберёт иммиграционный маршрут, если вы подходите под критерии: https://migrator.me/new?utm_source=telegram&utm_medium=banner&utm_campaign=relocats
P. S. Если вашу визовую петицию не одобрят, Migrator вернет деньги. Это прописано в договоре.
Forwarded from Gamedev Jobs (Inflow)
Teletype
Game Producer
Gamedev | Кипр