Ethosia● Plan, design, and build creative,
scalable, and secure microservices solutions.
● Design software according to agreed architecture, coding standards, and requirements.
● Plan and execute testing to ensure compliance with design standards and both functional and non-functional requirements.
● Actively contribute to and help drive technological and architectural decisions.
● Support production systems by investigating, troubleshooting, and resolving product issues.
● Write clean, reusable, testable,
and efficient Python code.
● Analyze system behaviour and continuously improve performance, scalability, and stability.
Knowledge & Skills:
● Bachelor’s degree in Computer
Science or an equivalent field.
● Proven experience designing and implementing RESTful APIs.
● 3 years of hands-on experience developing production systems in Python using frameworks and libraries such as FastAPI/Flask, Pydantic and Requests.
● Self-directed, with a strong sense of ownership and accountability.
● Experience working with non-relational
(NoSQL) databases.
● Hands-on experience with containers tools such as Docker and Kubernetes.
● Familiarity with message queues
/ streaming platforms (e.g., RabbitMQ, Kafka).
● Proficient understanding of version control systems, especially Git.
● Experience with testing frameworks, including pytest and parameterized tests.
Strong understanding of object-oriented programming (OOP) and functional programming concepts.
● Ability to break down complex software solutions into clear, actionable technical tasks.
● Strong team player with the ability to collaborate effectively to achieve shared goals.
● Comfortable working in a fast-changing environment, managing multiple tasks and projects.
Passion for programming, continuous learning, and building great products together.
(Nice to Have)
● Experience developing in Java,
preferably using the Spring Boot framework.
● Hands-on experience with MongoDB.
● Experience designing and building microservice-based applications from scratch.
● Experience working with time-series data and/or ML/AI-driven products using data science and numerical Python libraries, such as Pandas, NumPy, and scikit-learn.
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