Position: Senior Python Back-end Developer
Company: Intetics
Category: Python
Experience required: 5y
English level: upper

We are looking for ambitious, and excellent software engineers that want to break boundaries, move mountains, and shape the future of AI. Wand engineers are true experts in their fields, develop cutting-edge technologies, and strive to get the best user experience and efficiency for our customers.

Description
Intetics, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Python developer to enrich its team with a skilled professional to spread the company’s ideas, vision, content, and messages.



We are looking for passionate, ambitious, and excellent software engineers that want to break boundaries, move mountains, and shape the future of AI. Wand engineers are true experts in their fields, develop cutting-edge technologies, and strive to get the best user experience and efficiency for our customers.

What you’ll be doing:

- Own, design, and develop Wand AI backend: be responsible for Kubernetes application design and implementation of major features and services.
- Be responsible for the end-to-end feature/service lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature.
- Design and evolve software managing in-environment service discovery and configuration of microservices.
- Mentor, perform code reviews, evaluate implementations and provide feedback about potential tool improvements.
- Collaborate with Product Managers, Product Designers, and other.

Requirements:

- B.Sc in computer science or a related field
- At least 5+ years of experience building distributed large-scale SaaS systems.
- Good experience with SaaS Kubernetes applications built out of microservices.
- Expert in Python, especially as a backend language (clean code, frameworks, API design, etc.)
- Experience with different types of data storage (SQL, NoSQL, search engines, big data tools, and object stores). PostgreSQL and ElasticSearch – must.
- Fast learner with the ability to deep dive into details of cutting-edge technologies and deliver solutions.
- Experience with user-defined workflows (e.g., Airflow) – big advantage.
- Experience with ML productization (PyTorch, Tensorflow, LightGBM) - big advantage.
- Experience with modern CI/CD and GitOps methodologies.
- Spoken English level