Junior Java Software Engineer with DevOps skills

🚀 Project Description

From the engineering side, this role is focused on Backend + Infrastructure / DevOps as secondary skillset, with strong ownership over the technical foundation of the features.
 

✅ You are:
 

• Have practical experience from commercial projects, pet projects, hackathons, or open-source contributions
• Confident with Java, with readiness to work close to ML workloads and model-serving pipelines
• Comfortable building backend services and REST APIs
• Understand System design, asynchronous processing, and service integration
• Have experience with Docker and deploying services in cloud environments
• Understand how to build and maintain CI/CD pipelines
• Have hands-on experience with AWS or similar cloud platforms
• Are comfortable working with PostgreSQL
• Understand logging, monitoring, environment setup, and deployment workflows
   

➕ Will be a plus:
 

• Experience with MLOps or model-serving infrastructure
• Experience deploying ML models for inference on CPU
• Familiarity with Python, FastAPI, Spring Boot, or similar backend frameworks
• Experience with AWS services or similar
• Understanding of job queues, background workers, and long-running processing workflows
• Familiarity with infrastructure-as-code tools such as Terraform or similar
• Comfortable working with AI platforms and developer tools such as Cursor, Claude Code, or Codex
   

♟️ What We Expect from You:
 

• Use modern AI tools, frameworks, and approaches to work faster and more effectively
• Make practical decisions that help us launch faster without unnecessary overengineering
• Proactively identify bottlenecks, propose solutions, and help shape technical decisions
• Be comfortable working in an evolving product with changing priorities and early-stage ambiguity
   

🔑 Responsibilities:
 

• Implement and enhance backend services 
• Actively collaborate with the team lead and team
• Maintain the initial cloud environment for development, testing, and production
• Build and support processing pipelines for model execution and result delivery
• Configure logging, monitoring, and basic operational observability
• Ensure the system is reliable, maintainable, and easy to extend
• Utilize AI to review pull requests and contribute to engineering best practices
   

🍩 What we offer:
 

• Opportunity to work on an innovative product in the medical-tech domain
• High ownership and direct impact on product architecture
• Flexible work hours within the European time zone
• A fast-moving environment where strong engineers can influence product and technical decisions
• Paid 200$+ AI assistants and modern engineering tooling
• Professional development support, latest courses and certifications
• 20 business days of vacation
• 5 sick leave days
• National holidays covered
   

🗣 Recruitment process:
 

✔️ Technical Task → ☑️ AI Live Coding Task → ✅ Cultural-Fit Interview → 🏁 Offer