FH Solutions

We’re a growing product team building modern web solutions in the fintech and entertainment domains.

We’re looking for a motivated Junior React / Node.js Developer who’s eager to learn from experienced mentors and grow into a strong Full-Stack Engineer.

📍 Location: Warsaw, Poland (on-site)
🕐 Start: ASAP
 

Requirements:

•  1–2 years of experience with React, Node.js, and TypeScript
•  Understanding of RESTful APIs and CRUD operations
•  Experience with PostgreSQL or MongoDB
•  Good knowledge of HTML5, CSS3 (and preprocessors like SCSS)
•  Familiarity with Git and Agile development
•  English: Intermediate or higher (spoken communication required)

Nice to have:

• Familiarity with CI/CD pipelines
• Basic Docker or AWS experience

Responsibilities:

• Development and maintenance of Front-end applications using React and Web Components;
• Development Backend using Node.js
• Optimization of application performance and scalability.
• Testing and debugging of code.
• Participation in technical discussions and collaborative development.

CONDITIONS:

— The trial period lasts 2 months;

— 15 vacation days per year included (1.25 days are charged every month);

— 5 sick days per year included.
 

We offer:

• On-site position in Warsaw
• Mentorship from senior developers
• Real growth path from Junior to Middle level
• Friendly team and stable environment
• Competitive salary (discussed individually)

💬 If you are ready to join our team and work on exciting projects in Full-Stack development using React / Node.js, we invite you to submit your resume. Join us and showcase your talent in building high-quality, scalable web and mobile applications.

Required Skills & Experience

• Strong expertise in Terraform, including module development and infrastructure

automation.

• Hands-on experience with GitHub Enterprise and cloud providers AWS and Azure.

• Solid understanding of CI/CD, cloud networking, and infrastructure as code

principles.

• Familiarity with cloud security practices, including IAM (Identity and Access

Management), RBAC (Role-Based Access Control), and CAS (Cloud Access Security)

concepts and implementation.

• Knowledge of other Terraform providers such as Databricks is a plus but not

mandatory.

• Excellent communication and collaboration skills, with the ability to work across

teams and stakeholders.

Preferred qualifications

• Work experience with Amazon Web Services (AWS): Ideally 5 years

• Work experience with GitHub: Ideally 3+ years

• Work experience with Terraform: Ideally 3+ years

**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