Key Responsibilities Design, build, and maintain high-performance backend services using Python,SQL, REST APIs, and NoSQL databases. Build, manage, and optimize microservices architectures using Docker andKubernetes. Develop streaming and event-driven systems with Apache Kafka. Implement and optimize data pipelines, services, and integrations on Azure Cloud,especially using Databricks and cloud-native services. Leverage GitHub/Azure DevOps, CI/CD pipelines, and DevOps practices forsmooth, automated deployments. Contribute to prompt engineering, and design workflows involving LLMs andGenAI-based applications. Collaborate with cross-functional teams including data scientists, ML engineers,
andbusiness stakeholders. Participate in architectural discussions and code reviews to ensure quality andscalability. Provide mentorship to junior developers and lead small pods or scrum teams whenrequired. Troubleshoot, debug, and optimize applications under tight deadlines when needed.
Requirements
Required Skills Robust programming skills in Python (5+ years)
Expertise in SQL and working with NoSQL databases (e.g., MongoDB, Cosmos DB) Experience building and consuming REST APIs Real-time data experience using Apache Kafka Hands-on with Azure Cloud (or AWS/GCP with willingness to learn Azure) Experience with GitHub, Git workflows, and CI/CD Containerization using Docker and orchestration with Kubernetes Experience with Azure Databricks or equivalent Spark-based platform Familiarity with DevOps practices Exposure to Generative AI, including prompt engineering and integrating LLMsinto applications
📌 Python | Azure | GenAI_Mahindra FSS Diverse global solutions provider corp (India)
🏢 Skyleaf Consultants
📍 India
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