Senior Software Engineer (Java)

TL;DR

Senior Software Engineer (Java/GraphQL): Building a data retrieval and operations platform for a customer support system of a global e-commerce leader with an accent on federated GraphQL interfaces and backend scalability. Focus on designing low-latency real-time data retrieval systems and ensuring system reliability in distributed environments.

Location: Poland, Argentina, Brazil, Colombia, Georgia

Company

AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

• Develop and maintain server-side logic using Java and Spring Framework.
• Implement performant backend code for high-volume production applications.
• Design and optimize a federated GraphQL interface to unify access to multiple backend services.
• Monitor application health and ensure reliability in production environments.
• Review and refactor code to establish best practices for code hygiene and organization.
• Collaborate across multi-team initiatives to ensure architectural alignment and high engineering standards.

Requirements

• 5+ years of backend development experience in Java and Spring Framework.
• Proficiency in RESTful and GraphQL API design.
• Experience with message brokers (Kafka, RabbitMQ, ActiveMQ) and caching (Redis, Memcached).
• Experience with Docker, Kubernetes, and OAuth 2.0.
• English: B2+ (Written and Oral) required.
• Ability to solve complex challenges related to latency, data consistency, and resilience patterns (circuit breakers, retries).

Nice to have

• Integration of GenAI LLMs into production or pet projects (OpenAI, Azure OpenAI, Llama).
• Experience with API contract testing and NoSQL databases (MongoDB, Cassandra).
• Familiarity with federated Graph architectures.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience in mentoring colleagues or acting as a Team Lead.
• Knowledge of ReactJS.

Culture & Benefits

• Opportunity to shape real-world AI-driven projects for clients from startups to enterprises.
• Collaboration within a global, inclusive team across different continents and cultures.
• Work environment prioritizing continuous learning, innovation, and ethical AI standards.