Senior Fullstack Developer (Python, Java, JS)

j-labs is a Polish software company founded in 2010, specializing in software development with expertise in Java, JavaScript, .NET, Kotlin, Python, QA, and DevOps. The company operates in three locations: Cracow, Warsaw, and Munich, serving over 75 clients in fintech, telco, e-commerce, travel & airlines, automotive, logistics, and banking sectors. It employs over 500 engineers with an average experience of 11 years, focusing on microservice and DLT centers of excellence including consulting, training, and software development.

• Minimum 5 years of commercial programming experience.
• Very good knowledge of Python.
• Good knowledge of Java 17+.
• Practical experience with Spring Framework.
• Knowledge of JavaScript.
• Strong understanding of SOLID principles, Clean Code, DDD, and BDD.
• Experience with SQL and NoSQL databases (PostgreSQL, MongoDB).
• Experience with microservice architecture.
• Experience with event streaming/messaging systems such as Kafka.
• Ability to design new systems and support other engineers.
• Very good English language skills, both spoken and written.

Nice to have:

• Experience in Machine Learning, NLP, AI, or Data Science.
• Knowledge of financial institutions' environments (trading, investments).
• Familiarity with less common languages like Haskell, Rust, Julia.

• Develop and maintain a platform using AI and NLP for financial institutions.
• Work in a hybrid setup with 2 days in the Kraków office.
• Use technologies including Java 17+, Python, Kotlin, Clojure, JavaScript, Bash, NLP, ML, AI, and event streaming.
• Implement microservice architecture and stream data processing.
• Apply flow-based CI/CD practices.
• Collaborate in a team of 4-6 members and work closely with the Product Owner.
• Analyze business requirements and decompose them into smaller tasks.
• Design, implement, test, and deploy production solutions.
• Participate in all software lifecycle stages including production support.
• Identify and reduce technical debt.
• Design solutions adhering to architectural standards.
• Engage in pair programming and code reviews.
• Share knowledge and best practices.
• Co-create AI, NLP, and data-driven solutions.