Senior Software Developer - Python

Role overview

Join Deloitte’s Technology & Transformation group, where the focus is on turning large, varied data assets into reliable, decision-ready insights. The team works across business intelligence and visualization, data management, performance management, and advanced analytics, including big data, cloud, cognitive technologies, and machine learning.

This opening is for a Senior Software Developer – Python within the AI Solutions team. The work centers on building scalable, intelligent backend systems for the electrification domain, with a blend of strong Python engineering and hands-on exposure to AI/ML and Generative AI.

Location: Bangalore / Bengaluru, Karnataka, India.

What you will do

• Build, enhance, and maintain scalable backend services and REST APIs using Python-based frameworks such as FastAPI, Flask, or Django.
• Write robust, reusable, and test-friendly Python code using object-oriented design, SOLID principles, and established design patterns.
• Partner with AI/ML specialists to move machine learning, deep learning, and generative AI models into production environments.
• Develop API layers and integration flows for model serving and inference.
• Create and support ETL and data-processing pipelines that handle extraction, transformation, and loading of large datasets.
• Use NumPy, Pandas, and SQL systems for data preparation and analytical work.
• Contribute to GenAI solutions involving retrieval-augmented generation, embeddings, vector databases, and LLM integration.
• Take part in architecture and design discussions to improve scalability, resilience, and system performance.
• Set up and maintain CI/CD workflows and follow DevOps practices for deployment and monitoring automation.
• Design solutions with strong observability, including structured logs, monitoring, alerting, and tracing.
• Tune systems for throughput, concurrency, stability, and scale.
• Support code reviews, debugging, troubleshooting, and junior team guidance when needed.

Required background

• A bachelor’s or master’s degree in Computer Science, Information Technology, or a closely related field.
• At least 6 years of practical Python software development experience.
• Solid command of Python fundamentals, object-oriented programming, data structures and algorithms, SOLID principles, and design patterns.
• Proven ability to solve coding and architecture problems effectively.
• Working experience with backend frameworks like FastAPI, Flask, or Django.
• Strong knowledge of REST API design and microservices architecture.
• Hands-on work with NumPy, Pandas, and SQL.
• Understanding of ETL processes and data lifecycle management.
• Exposure to integrating and deploying AI/ML models.
• Basic familiarity with generative AI concepts such as RAG, embeddings, vectorization, vector databases, and LLM workflows.
• Experience with Docker, Git, and CI/CD pipelines.
• Awareness of cloud environments such as AWS or Azure.
• Good communication and collaboration abilities.

Preferred profile

• Experience with MLOps and model monitoring.
• Hands-on exposure to cloud AI services such as AWS SageMaker, AWS Bedrock, Azure ML Studio, or Azure OpenAI Service.
• Experience with observability and monitoring tools such as Prometheus, Grafana, ELK Stack, or OpenTelemetry.
• Prior work on high-performance, scalable backend systems.
• Familiarity with LangChain, FAISS, ChromaDB, or similar GenAI tooling.
• Knowledge of Rust is a strong advantage.
• Exposure to data engineering and large-scale data processing is beneficial.
• Interest in, or experience with, the Power & Energy domain is an added advantage.