Description

You will design and implement scalable microservices architectures and lead legacy system migrations.

This role is on-site.

Responsibilities

• Design and refactor microservices using Kubernetes and cloud platforms.
• Build performant APIs and database structures for distributed systems.
• Propose system architectures and implement software development best practices.
• Execute the full Agile software development lifecycle including verification plans and QA procedures.
• Support application performance tuning, troubleshooting, and system monitoring.

Required Skills

• 10 to 12 years of experience in IT developing microservices and migrating legacy services.
• Expertise in Java and Python.
• Proficiency with REST API frameworks such as Spring Boot, Django, Flask, or FastAPI.
• Extensive experience with containerization technologies including Kubernetes, Istio, and Ingress.
• Hands-on experience with message queues like Kafka or RabbitMQ.
• Strong knowledge of SQL and NoSQL databases, specifically PostgreSQL and Elasticsearch.
• Experience with Azure cloud-based provisioning and deployment.
• Deep understanding of CI/CD, Agile methodologies, and software engineering best practices.
• Bachelor's or Master's degree in Computer Science or a related engineering field.

Preferred Skills

• Experience working with data engineering, data science teams, and data platforms.
• Exposure to Machine Learning.
• Experience collaborating with worldwide teams or European customers.

Key Skills

Education

Not specified