Senior Python Engineer; FinTech Project

Senior Python Software Engineer (Fin Tech Project)

Open roles Senior Python Software Engineer (Fin Tech Project)

At Syberry
, we believe that great software starts with a simple principle: being a strategic partner who helps clients achieve their goals. We are a global team that builds custom software for industries ranging from finance to healthcare, investing in strong engineering practices and automation.

We are building a financial platform that will research and run systematic trading strategies. We collaborate with the quant team on strategies research, risk modeling, and portfolio optimizations. Our engineering team embeds the corresponding logic into the platform.

• Design and implement engineering solutions that directly support the customer’s business goals.
• Collaborate closely with quantitative analysts to gather, clarify, and refine requirements through direct communication (no intermediary Business Analyst).
• Take ownership of the end-to-end delivery process
  , from understanding the problem to deploying stable and maintainable solutions.
• Present completed work during regular demo sessions
  , clearly explaining the value delivered and technical decisions made.
• Contribute to maintaining high production stability and quality
  , proactively identifying and addressing potential issues.

• 7+ years of professional experience in Python software engineering.
• Strong communication skills and fluency in English.
• Comfortable working directly with stakeholders (no BA on the project).
• Confident in working with:
  Pandas Data Frames, SQL Alchemy, SQL (Postgre
  
  SQL, MySQL, or similar dialects), Python virtual environments, Pytest.
• Intermediate+ experience with: AWS (S3, IAM) or a similar cloud platform; multiprocessing, multithreading, asyncio.
• Availability until 7 PM (CET) at least 3 days a week for crossover with client located in NY; flexibility in working hours is allowed.

• Familiarity with Linux.
• Experience with Data engineering tools: ETL pipelines, Airflow, Dagster; AWS (ECS, Data Zone).
• Knowledge of Terraform, Docker, CI/CD.
• Domain experience in Fin Tech (banking, trading, financial data platforms).
• Direct influence on the product: ideas and contributions shape the roadmap and outcomes.
• Collaboration with experienced Wall Street professionals for insight and growth.
• Lean processes, minimal overhead, focus on value.
• Small, agile teams; high-impact environment.
• B2B employment model with:
  20 paid workdays off per year
  3 paid sick days
• Ongoing education through Syberry Academy.
• Remote-friendly culture: fully remote, hybrid, or in-office options.
• Team and corporate events; regular celebrations.
• Financial support for key life events.