Cloud-Native Java/Scala Engineer for Risk Analytics

Luxoft Poland; Kraków; Hybrid; PLN 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work schedule

Office at Fabryczna Office Park

Job summary

Luxoft Poland in Kraków is seeking a software engineer to join the ACQA Engines Crew within the IB Risk Technology Stream. The role focuses on building a cloud-native analytics and risk platform using Python, Java, Scala and Spark, with collaboration across traders, risk managers and finance users.

You will work in a fast-paced agile environment, contribute to production-grade software, and embrace DevOps practices, testing frameworks, and data-driven development while expanding your Python

Qualifications

• Deep experience developing in Java at scale.
• Knowledge of one JVM language beyond Java (Scala or Kotlin) at scale.
• Strong knowledge of Spark or other big data frameworks handling large datasets.
• Understanding of financial derivatives risk, pricing and PnL processes.
• Exposure to cloud-based systems (Azure) and DevOps practices.
• Familiarity with AI-assisted development tools like GitHub Copilot.

Responsibilities

• Develop bullet-proof software in a fast-paced environment where bugs cost money.
• Communicate complex subjects concisely, in both written and spoken form.

Skills

Java

Scala

Spark

Python

Testing frameworks

Design patterns

CI/CD

DevOps

Cloud-native platforms

Financial derivatives risk

Derivative pricing

Quantitative analytics

Agile software development

Developer experience

CI/CD

Tools

GitHub Copilot

Microsoft Azure

Job description

Luxoft Poland in Kraków is seeking a software engineer to join the ACQA Engines Crew within the IB Risk Technology Stream. The role focuses on building a cloud-native analytics and risk platform using Python, Java, Scala and Spark, with collaboration across traders, risk managers and finance users.

You will work in a fast-paced agile environment, contribute to production-grade software, and embrace DevOps practices, testing frameworks, and data-driven development while expanding your Python