Sr. Developer (MMFSL)

• Design, build, and maintain high-performance backend services using Python, SQL, REST APIs, and NoSQL databases.
• Build, manage, and optimize microservices architectures using Docker and Kubernetes.
• 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 for smooth, automated deployments.
• Contribute to prompt engineering, and design workflows involving LLMs and GenAI-based applications.
• Collaborate with cross-functional teams including data scientists, ML engineers, and business stakeholders.
• Participate in architectural discussions and code reviews to ensure quality and scalability.
• Provide mentorship to junior developers and lead small pods or scrum teams when required.
• Troubleshoot, debug, and optimize applications under tight deadlines when needed.

• Strong 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 LLMs into applications

• Prior experience working with NBFCs or in the financial services domain
• Experience in building scalable, resilient systems under compliance and regulatory constraints

• Demonstrated team leadership, mentoring, or sprint management
• Ability to deliver under pressure, manage stakeholder expectations, and handle multiple priorities effectively

Mahindra & Mahindra