Technology & Transformation - Engineering - Consultant - Python - Bangalore

Technology & Transformation - Engineering - Consultant - Python - Bangalore Job requisition ID : 100770 Location : Bengaluru Entity : Deloitte Touche Tohmatsu India LLP The team Technology & Transformation practice helps organizations design and build scalable, intelligent, and cloud-native solutions that drive digital transformation. The team works across advanced engineering, cloud platforms, data, and AI-enabled systems to deliver high-performance enterprise applications. With a strong focus on innovation, automation, and next-generation technologies, the practice enables clients to modernize their systems and unlock business value through advanced software engineering and AI-driven solutions. Your work profile The Senior Software Developer Python is responsible for designing, developing, and maintaining high-quality backend systems and AI-enabled software solutions. This role involves building scalable APIs, integrating AI/ML models into production systems, and contributing to architecture decisions for cloud-native applications. You will collaborate closely with AI/ML engineers, data scientists, and cloud architects to deliver robust, high-performance solutions in the electrification and AI domain. The role also involves ensuring software quality, scalability, and observability while following modern DevOps and engineering best practices. Key skills required: 5+ years of hands-on software development experience with strong expertise in Python Strong understanding of Object-Oriented Programming (OOP), SOLID principles, and design patterns Experience developing backend services and RESTful APIs using FastAPI or similar frameworks Experience integrating Machine Learning, Deep Learning, or Generative AI models into production systems Strong understanding of software architecture and scalable system design Experience with CI/CD pipelines and DevOps best practices Hands-on experience with Docker and Git version control systems Exposure to MLOps practices for model deployment, monitoring, and lifecycle management Strong understanding of observability concepts including logging, monitoring, and alerting Experience working with cloud platforms such as AWS (SageMaker, Bedrock) or Azure (ML Studio, OpenAI Service) Strong collaboration and communication skills in cross-functional engineering teams Preferred Qualifications Experience with Rust programming language is a strong advantage Education - Bachelors or Masters degree in Computer Science, Information Technology, or a related field Experience building high-performance and scalable backend systems Exposure to observability tools such as Prometheus, Grafana, ELK Stack, or OpenTelemetry Understanding of data engineering concepts, ETL pipelines, and large-scale data processing Exposure to the Power and Energy domain or industrial engineering systems Key Skills & Competencies Python backend development AI/ML model integration into production systems REST API development using FastAPI Cloud-native application development CI/CD and DevOps practices Microservices and scalable architecture design Observability and system monitoring Software design patterns and clean architecture Collaboration with AI/ML and data engineering teams Problem-solving and system optimization Success Metrics Delivery of scalable, secure, and high-performance backend systems Successful integration of AI/ML models into production environments High system reliability, observability, and performance optimization Efficient CI/CD pipelines enabling smooth and frequent deployments Improved code quality through reviews and engineering best practices Reduced production issues through strong monitoring and alerting Effective collaboration across AI, data, and cloud engineering teams Location and Way of Working: Base location: Bengaluru, India