Job Description

Company:

Mahindra & Mahindra Ltd 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 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. Experience: 5–9 Years Location: Mumbai Industry: Preferably NBFC / BFSI Required Skills • 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 Secondary Skills• Prior experience working with NBFCs or in the financial services domain• Experience in building scalable, resilient systems under compliance and regulatory constraints Tertiary Skills • Demonstrated team leadership, mentoring, or sprint management• Ability to deliver under pressure, manage stakeholder expectations, and handle multiple priorities effectively

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