Regular Software Engineer - Python

Luxoft; Kraków; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Private medical & dental care

Life Insurance

Job summary

Luxoft is building a cloud-native analytics and risk platform called ACQA, primarily using Python with Java/Scala interoperability. You will join a diverse team of engineers across global locations, contributing to scalable, production-grade software for investment banking risk and PnL management.

The role emphasizes deep software engineering, strong communication, and collaboration with traders, risk managers, and finance users. A willingness to learn Python and apply DevOps practices is valued.

Qualifications

• Proven software engineering background with multiple languages and paradigms.
• Strong communication skills, written and spoken, ability to explain complex topics clearly.
• Experience with cloud-native platforms and big data technologies.

Responsibilities

• Develop and maintain a cloud-native analytics and risk platform (ACQA).
• Collaborate with cross-functional teams across locations and accounts.
• Write scalable, production-grade code with strong testing practices.
• Contribute to DevOps and CI/CD pipelines to improve delivery speed and quality.

Skills

Python

Java

Scala

PySpark

Spark

Microsoft Azure

CI/CD

DevOps

Testing frameworks

Design patterns

Job description

Private Medical & Dental care & Life Insurance covered

Internal Mobility program - possibility of rotation between projects, locations, accounts

...and more!

Project Description:

Your Role

• Are you a software engineer who is up for a challenge? Because we’ve got a great one.
• We’re building a new analytics and risk platform. It’s called ACQA. It’s a cloud native platform with a host of business specific applications and services built on top of it. At its heart its Python, but we also use other languages, including Java and Scala.
• We’re not looking for somebody who fits in a box. Our team is diverse, and our hiring reflects that. You might be a Python expert with an unparalleled depth of knowledge about financial derivatives risk and pricing. Or you might be a big data guru who writes beautiful Scala (or PySpark) on massive and complex datasets. Or you may be somewhere in-between. Either way you are the kind of person we want to speak to.
• So, if you are an awesome Python developer, if you know about derivative risk; if you’re a Java or Scala developer who’d like an opportunity to learn some Python then we would love to hear from you.

Your team

You’ll be working in the ACQA Engines Crew, as part of the IB Risk Technology Stream under CDIO. ACQA is "Advanced Cloud Quantitative Analytics" – it’s our strategic cloud based Analytics and Risk platform. The team is composed of approximately 60 top level engineers in multiple global locations, organized into agile local autonomous pods of 5-10 members. We work directly with traders, risk managers and finance users to provide platforms and tools that for management of the investment bank's Risk and PnL.

Responsibilities:

Your expertise

You have:

• A deep software engineering background and mindset. You’ve seen several different programming paradigms and languages. You understand design patterns – and know when not to use them. You know what it means to develop bullet proof software in a fast-paced environment where bugs cost money.
• Strong communication skills, written and spoken, you can communicate complex subjects concisely.

You’ll have a few of:

• Deep experience developing in Python. You’ve used it at scale, you have a deep knowledge of the language and many of its commonly used packages. You believe in testing your code to destruction, using several different testing frameworks. You’re a Pythonista who loves the language and embraces its culture.
• Experience in one of the JVM languages. You’ve used it at scale and have excellent knowledge of the language and its associated ecosystem.
• Strong knowledge of Spark or other data focused work on massive, complex datasets. You’ve built, tested and tuned spark jobs that operate on giant data sets.
• A great working knowledge of financial interest rates derivative products, their risks, and how the front to back process works.
• Some exposure to AI-assisted software development using tools such as GitHub Copilot to improve delivery speed while maintaining quality, review discipline and ownership. Spec-driven development, data-driven development.
• Some exposure to cloud-based systems (ideally Microsoft Azure) and a desire to learn more.
• Some exposure to web-based UI frameworks would be useful, though not essential
• A desire to learn Python

You are:

• A passionate engineer. Dedicated to building software that end users love. You enjoy working in a fast-paced agile environment.
• A dev-ops evangelist. Committed to helping to improve the developer experience for everybody working on the ACQA platform and interacting with your code.
• A teacher. You enjoy helping those around you develop their skills, while you develop your own.
• Collaborative by nature. You enjoy working in a highly skilled team where the best ideas win. Even if they are not yours. You are equally happy developing something new or building on the work of others.

Mandatory Skills Description:

Python, Java, Scala, PySpark, Spark, Microsoft Azure, cloud-native platforms, big data, financial derivatives, derivative risk, pricing, Risk and PnL, investment banking technology, quantitative analytics, testing frameworks, design patterns, DevOps, agile software development, CI/CD, developer experience, GitHub Copilot, AI-assisted software development, production-grade software, scalable systems.