IN-Staff Software Engineer 1

Responsibilities:

• Core responsibilities - Architect, Design, Develop, Test for a ground-up SaaS product in the Data Platform.
• The team currently comprises 60+ global associates across the US, and India (COE) is expected to grow rapidly.
• The incumbent will need to have leadership qualities to mentor junior and mid-level software associates in our team.
• Pushes the team towards better quality software by constructively pointing out opportunities to reduce complexity and to write cleaner code and more effective tests.
• Helps other team members to come up with simpler, more robust, and more efficient designs.
• Identifies root causes of issues and fixes those rather than their symptoms.

Requirements:

• 6-10 years of experience in platform engineering, cloud infrastructure, or AI/ML system development.
• Proven experience building and deploying large-scale data or AI platforms in enterprise environments.
• Familiarity with GenAI technologies such as LLM orchestration, embeddings, vector databases, and prompt engineering.
• Understanding of LLMOps and tools like LangChain, MLflow, or Azure OpenAI is a plus.
• Strong collaboration skills, capable of working cross-functionally with AI/ML, data, and product teams.

Technical Stack & Tools:

• Languages and Frameworks: Python, PySpark, REST APIs, and OAuth 2.0
• Cloud: Microsoft Azure (AKS, HDInsight, Event Hub, Application Gateway, Azure AD, ARM templates).
• Architecture: Event-driven microservices, multi-tenant systems, secure API management, Mulesoft integration.
• Data: Snowflake, MS SQL Server, Data Marts, vector storage for RAG use cases.
• DevOps/MLOps: Jenkins, Git, Gradle, Docker, CI/CD pipelines.