Posted:2 weeks ago|
Platform:
On-site
Full Time
Design, develop, and maintain scalable and efficient Python applications. Collaborate with cross-functional teams to define software requirements. Write clean, maintainable, and efficient code. Conduct unit testing, integration testing, and performance testing. Design concurrent and scalable systems with a focus on asynchronous programming. Programming Languages: Excellent proficiency in Python. Frameworks: Proficient in FastAPI; experience with Flask or Django is acceptable. Containerization & Orchestration: Advanced knowledge of Kubernetes and Docker; experience with Helm and Docker Compose. Cloud Expertise: Expertise in using Microsoft Azure cloud computing services, the Azure AI suite of tools for intelligence applications a plus. DevOps Tools: Expertise in Azure DevOps for CI/CD pipelines. Version Control: Knowledge of version control systems (e.g., Git). Scripting: Advanced experience with batch scripting, shell scripting, or PowerShell. Security: In-depth knowledge of OAuth, Okta, and Auth0; experience with RBAC in AKS. Database Systems: Experience with SQL and NoSQL databases (e.g., PostgreSQL, SQL Server, Snowflake). Web Technologies: Familiarity with front-end technologies (HTML, CSS, JavaScript). APIs: Understanding of RESTful APIs and web services. API Observability: Knowledge of tools like Grafana, Prometheus, OpenTelemetry, Tempo, and Loki. Testing Frameworks: Familiarity with testing frameworks (e.g., PyTest, Unittest). CI/CD Practices: Familiarity with CI/CD pipelines and DevOps practices. Data Analysis: Experience in data analysis or machine learning is a plus. Generative AI: Good to have understanding of Generative AI and proficiency in Langchain, LlamaIndex, or OpenAI Python SDK. Show more Show less
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