Cloud Platform Engineer

Key Responsibilities
• Develop and maintain Python-based services and tools. • Support cloud infrastructure using AWS or Azure • Assist in building and maintaining data pipelines and ETL workflows. • Collaborate with senior engineers and data scientists to integrate classic ML/LLM models. • Help implement monitoring, logging, and basic resilience strategies. • Contribute to API development and system integrations. • Participate in code reviews, testing, and documentation.

Required Skills & Experience
Must-Have: • 24 years of experience in software development (Python). • Basic understanding of cloud platforms AWS or Azure (Azure preferred). • Familiarity with containerization tools (Docker, Kubernetes). • Experience with RESTful APIs and microservices architecture. • Knowledge of SQL and working with relational databases. • Bachelors degree in Computer Science, Engineering, or related field.

Nice-to-Have: • Exposure to ML workflows or data science collaboration. • Experience with Python libraries like Pandas, Flask, or FastAPI. • Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions). • Understanding of DevOps principles and infrastructure-as-code (Terraform). • Interest in NLP or ML libraries (e.g., spaCy, scikit-learn).

Soft Skills • Eager to learn and grow in a fast-paced environment. • Strong communication and teamwork skills. • Proactive and solution-oriented mindset. • Open to feedback and continuous improvement. • Fluent in English Must