Job Description

Company Description

We are a proprietary algorithmic trading firm. Our team manages the entire trading cycle, from software development to creating and coding strategies and algorithms. We have a team of 200+ professionals, with a strong emphasis on technology--70% of our team is made up of technical specialists.


We operate as a fully remote organization, fostering a culture of transparency, clarity, and open communication. We are expanding into new markets and technologies, continuously innovating in the world of algorithmic trading.

Key Responsibilities

Ingestion & Pipelines:

Architect batch + stream pipelines (Airflow, Kafka, dbt) for diverse structured and unstructured marked data. Provide reusable SDKs in Python and Go for internal data producers.

Storage & Modeling:

Implement and tune S3, column?oriented and time?series data storage for petabyte?scale analytics; own partitioning, compression, TTL, versioning and cost optimisation.

Tooling & Libraries:

Develop internal libraries for schema management, data contracts, validation and lineage; contribute to shared libraries and services for internal data consumers for research, backtesting and real-time trading purposes.

Reliability & Observability

: Embed monitoring, alerting, SLAs, SLOs and CI/CD; champion automated testing, data quality dashboards and incident runbooks.

Collaboration:

Partner with Data Science, Quant Research, Backend and DevOps to translate requirements into platform capabilities and evangelise best practices.

Qualifications

Required Skills & Experience

7 + years building production?grade data systems. Familiarity with market data formats (e.g., MDP, ITCH, FIX, proprietary exchange APIs) and market data providers. Expert?level Python (Go and C++ nice to have). Hands?on with modern orchestration (Airflow) and event streams (Kafka). Strong SQL proficiency: aggregations, joins, subqueries, window functions (first, last, candle, histogram), indexes, query planning, and optimization. Designing high?throughput APIs (REST/gRPC) and data access libraries. Strong Linux fundamentals, containers (Docker) and cloud object storage (AWS S3 / GCS). Proven track record of mentoring, code reviews and driving engineering excellence.

Additional Information

What we offer:

Working in a modern international technology company without bureaucracy, legacy systems, or technical debt. Excellent opportunities for professional growth and self-realization. We work remotely from anywhere in the world, with a flexible schedule. * We offer compensation for health insurance, sports activities, and professional training.