3 months ago
Kraków, PolandMid Level
Responsibilities
- Design and develop new features across Pico’s product range.
- Build ultra-low-latency market data and order execution solutions.
- Normalize and analyze high-volume real-time market data.
- Develop maintainable and scalable multithreaded applications in C under Linux.
- Support technology expansion into new markets and deployment models.
- Collaborate with global teams across EMEA, the USA, and APAC and participate in occasional travel as needed.
Requirements
- Bachelor’s or master’s degree in a relevant engineering discipline such as Computer Science, Computer Engineering, or Electrical Engineering.
- At least 3 years of experience working in a technology firm, preferably in the financial sector.
- Proficiency in C development under Linux.
- Knowledge of multithreaded application development and IP networking.
- Knowledge of financial trading concepts and protocols, including orders, trades, quotes, and FIX.
- Ability to write maintainable and scalable code and solve complex technical problems.
- Strong written, verbal, interpersonal, and collaborative communication skills.
- Desirable experience with automated testing, including unit and integration testing, Python, and Java.
- Willingness to learn, ask for help, accept advice, and incorporate constructive feedback.
Benefits
- Hybrid work arrangement with weekly office time and flexibility to work from home.
- Occasional travel may be required but is not expected to be regular or frequent.
- The role may require working hours necessary to support multiple jurisdictions and geographies.
- Pico is an equal opportunity employer and offers recruitment assistance or accommodations upon request.
About Pico
Pico provides managed low-latency infrastructure, global connectivity, market data, analytics, and trading execution software for banks, exchanges, asset managers, hedge funds, and fintechs. Founded in 2009 and headquartered in New York, the privately held company operates a global platform (PicoNet) spanning 55+ data centers and 19 offices. Clients use its subscription and managed services to access markets, monitor performance, and run latency-sensitive trading systems.