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Role OverviewWe are looking for a strong Java Engineer (mid-senior level) who will work across several internal services at the same time, shaping backend architecture, contributing to product decisions, and supporting multiple engineering teams. This is not a single-project assignment - you will touch 3–4 microservices in parallel, work closely with Product Owners, and bring a strong technical point of view.
The ideal person is hands-on, analytical, comfortable with cloud-native environments, and open to working with AI-supported solutions as part of modern engineering. We are particularly interested in engineers who are close to senior level and demonstrate strong ownership and problem-solving skills.
Key Responsibilities:
- Build and maintain backend services and APIs in Java
- Work across multiple microservices (3–4) simultaneously
- Collaborate closely with Product Owners on technical direction
- Contribute to cloud-native architecture on AWS (90%) + Azure (10%)
- Deploy and operate services using Kubernetes and Docker (must-have)
- Contribute to Python-based services when needed
- Work with analytics and data insights to support decisions
- Follow SDLC best practices: testing, code reviews, documentation
- Collaborate with DevOps on CI/CD, deployments, scaling
- 5–7 years of experience in Java engineering
- Strong experience with microservices / distributed systems
- Solid knowledge of AWS services
- Strong Kubernetes + Docker skills (must-have)
- Ability to contribute to Python codebases
- Good understanding of CI/CD, REST APIs, SQL
- Comfortable working with AI-driven tools and modern development workflows
- Proactive, ownership-driven, adaptable to multi-project environments
- Work on cutting-edge AI systems used globally
- Dynamic, multi-disciplinary teams engaged in digital transformation
- Remote-first work model
- Long-term B2B contract
- 20+ days paid time off
- Apple gear
- Training & development budget
Key Skills
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