Software Engineer (Java, Python & AI Developer)

Software Engineer (Java, Python, Microservices, Gen AI)

We are seeking a Senior Software Engineer with solid technical depth to deliver scalable services and guide junior engineers, working with Java, Spring Boot, Python (NumPy), REST APIs, Flask APIs, and Azure.

Responsibilities

Design and develop maintainable, modular software components in Java, Spring Boot, and Python; Write optimized, reusable, and scalable code that follows SOLID/equivalent principles; Build application components applying multi-threading, concurrency models, and asynchronous programming principles; Design, build, and consume REST APIs with Spring Boot and Flask, build Python/NumPy-based data processing components where applicable; Solve technical problems considering common practice and procedures, determine appropriate action by analyzing possible solutions and their impact on the function/business; Provide informal guidance to new and junior team members through code reviews and pairing; Understand how the team’s work integrates with other closely related teams and account for interdependencies; Write and execute unit tests using JUnit and Mockito, perform API integration testing; Implement CI/CD pipelines to build and deploy applications, maintain a high level of quality maturity in pipeline quality gates; Implement security best practices (input validation, authentication, authorization, OWASP guidelines); Deploy and operate applications on Azure Cloud using Docker and Kubernetes; Collaborate with cross-functional teams to define, design, and ship new features; Troubleshoot and resolve issues in development, test, and production environments; Explain technical, sometimes complex and dynamic concepts clearly to others

Requirements

2-4 years of strong working experience in core technical discipline: Java, Spring Boot, RDBMS, NoSQL; Solid experience with Python and NumPy for building data-oriented services; Strong experience with common software design patterns (e.g., Adapter, Strategy, Template Method); Strong experience in designing, building, and consuming REST APIs efficiently, experience building and operating Flask APIs; Good experience using AI-assisted tools in the SDLC; Experience in code execution best practices (memory footprint, GC) and database query analysis (explain plan, statistics); Hands-on experience in messaging and queuing; Proficiency in JUnit, experience with API integration testing using Postman; Experience in quality gates and security tools integration in CI/CD processes; Hands-on experience with Docker, Kubernetes, and Azure Cloud services; Excellent problem-solving skills and attention to detail; Strong communication and teamwork skills; Familiarity with Agile development methodologies

Benefits

Flexible working environment; Volunteer time off; LinkedIn Learning; Employee-Assistance-Program (EAP)