Informacje o stanowisku

Syberry  is the technology partner for a U.S.-based capital management company, and we are establishing an engineering center in Europe for them. The team is building the technology platform to run the company. This is a greenfield development project utilizing  Python, Kotlin, React, and AWS as the primary tech stack. 

We are seeking a Kotlin/Python Engineer to develop a toolset for portfolio managers that will enable the analysis of financial data and facilitating informed decision-making based on this analysis.

Why join us?

• Learn from top Wall Street experts:  you will work in one team with quants and portfolio managers who have 15+ years of experience in the field.
• Greenfield development: participate in designing and building an entire tech platform for running the company from scratch. Our oldest code is just 2 years old.
• Cutting-edge practices:  we embrace XP principles like TDD, CI/CD, pair programming, and trunk-based development to ship value daily.
• Real challenges:  everything you work on gets tested by real users immediately. No boring tasks with unknown value.
• Zero bureaucracy:  were a startup, so the features you produce will be available for the end-users shortly.
• Small, skilled teams:  we’re a crew of 30 experienced engineers, working in small teams of up to 5 so don’t expect communication overload.
• True remote: No Return To Office. Work from wherever you want. 

Responsibilities 

• Create high-quality code according to Syberry’s standards
• Engineer a solution to the problem of an end user: delivering API services / working with datasets and data pipelines / delivering integrations with external systems (depending on the team)
• Communicate with the client and the team daily 

About you: 

If your main expertise is in PYTHON: 

• Strong engineering experience (we mean it): we believe at least 7 years of software engineering is a good predictor
• Experience working with  AWS, GCP or Azure ; can use key services for computation, networking, and storage
• Exposure to  Java/Kotlin  and readiness to work with Kotlin: our system is developed using both Python and Kotlin. Thats why we expect your readiness to work both with Python and Kotlin
• Experience using SQL and RDBMS; know how to write requests for relational databases
• Experience designing and writing API by best practices
• Experience writing automated tests
• Experience working with Docker
• Readiness to learn Infrastructure as Code and work with Terraform
• Strong mathematics knowledge
• Fluent English: for daily communication with native speakers from the U.S.
• Availability until 7 PM CET at least 3 days a week : our product team and end users operate in the Eastern Time Zone, so we need an overlap for effective collaboration. Still, we expect 8h of work daily so you could start later or have breaks with flexibility provided

If your main expertise is in KOTLIN: 

• Strong engineering experience (we mean it): we believe at least 7 years of software engineering on Kotlin/Java is a good predictor
• Exposure to  Python and readiness to work with this language: our system is developed using both Python and Kotlin. Thats why we expect your readiness to work both with Python and Kotlin
• Experience working with  AWS, GCP or Azure ; can use key services for computation, networking, and storage
• Experience using SQL and RDBMS; know how to write requests for relational databases
• Experience designing and writing API by best practices
• Experience writing automated tests
• Experience working with Docker
• Readiness to learn Infrastructure as Code and work with Terraform
• Strong mathematics knowledge
• Fluent English: for daily communication with native speakers from the U.S.
• Availability until 7 PM CET at least 3 days a week : our product team and end users operate in the Eastern Time Zone, so we need an overlap for effective collaboration. Still, we expect 8h of work daily so you could start later or have breaks with flexibility provided

Nice-to-have

For PYTHON experts:

• Finance knowledge: no need for deep conceptual understanding, but general knowledge about investment management is a big advantage, specifically equities, back-testing, and financial simulations
• Statistics knowledge is a great advantage
• Experience working with end users/clients directly, figuring out their needs, and delivering end-to-end solutions for them
• Experience in engineering data pipelines
• Experience with Flask / FastAPI or any other web framework
• Experience with Dagster
• Experience with S3, Glue or Athena 

For KOTLIN experts: 

• Finance knowledge: no need for deep conceptual understanding, but general knowledge about investment management is a big advantage, specifically equities, back-testing, and financial simulations
• Experience working with end users/clients directly, figuring out their needs, and delivering end-to-end solutions for them.
• Experience in engineering data pipelines 

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