Artificial Intelligence & Engineering AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations. Join our AI & Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. Youll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses. Position Summary Level: Software Engineer II As a Software Engineer II in Deloitte Consultings AI & Engineering practice, you will help design, build, and deploy AI-enabled full-stack applications that support client transformation. You will work across the software development lifecycle, from requirements analysis and solution design through deployment and optimization. This role offers the opportunity to contribute to engineering-led delivery, innovation, and scalable technology solutions in a fast-paced consulting environment. Work you’ll do: As a Software Engineer II on the Engineering as a Service team, you will be responsible for Design, develop, and deploy scalable full-stack applications using Python and modern web frameworks. Translate business and technical requirements into solution designs aligned to client, industry, and project objectives. Build AI-enabled applications, including chatbots, copilots, and retrieval-augmented solutions, using large language model frameworks and prompt optimization techniques. Develop and integrate application programming interfaces, data services, and cloud-based components to support secure and scalable solution delivery. Participate in Agile delivery activities, peer reviews, defect resolution, process improvement, and knowledge-sharing across project teams. The team: Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation. Core Python Engineering: Required: 7-12 years of strong hands-on experience in Python (3.11+) with solid grounding in Object-oriented design principles and clean coding practices including identifying design flaws in existing codebases and refactoring towards maintainable designs Well versed with core Python concepts including Exception Handling, Data Structures (lists, sets, dictionaries, tuples), Iterators & Generators, Concurrency (threads, multiprocessing, asyncio) Ability to design and implement efficient, secure, and maintainable backend code, evaluate multiple solution approaches, and justify design decisions considering performance, scalability, and security trade-offs. Micro Services Frameworks: Preferred: Strong understanding of microservices architecture, with the ability to design high-level service boundaries, ensure effective inter-service communication, and manage data consistency across distributed systems. Hands-on experience building and maintaining RESTful APIs using FastAPI or Django REST Framework, applying API design best practices and integrating with external services, data sources, and databases. Solid expertise in Python web frameworks ( FastAPI/Django ), including dependency injection patterns, middleware, request/response lifecycle management, transaction handling, and database access strategies. Experience implementing security and cloud-native patterns using FastAPI/Django authentication/authorization mechanisms, OAuth2/JWT , and integration with cloud-native identity and configuration services (e.g., AWS Cognito, GCP IAM, Azure AD); resiliency patterns such as retries, circuit breakers, and configuration management. Strong understanding of data persistence, including RDBMS & SQL ( PostgreSQL/MySQL ) and NoSQL ( MongoDB/DynamoDB/Firestore ), normalization, complex query troubleshooting, and ORM frameworks such as SQLAlchemy or Django ORM for performant and transactional data access. Proven ability in testing, troubleshooting, and debugging, including writing unit tests with Pytest/Unittest, identifying performance bottlenecks, and resolving production issues with minimal handholding. AWS/GCP/Azure Cloud leveraging cloud-native services and managed platforms. Experience with compute services such as EC2 / Compute Engine / Virtual Machines, ECS/EKS / GKE / AKS, Elastic Beanstalk / App Engine / App Service, and Lambda / Cloud Functions / Azure Functions; ability to choose appropriate compute models for Python microservices (FastAPI/Django/Flask) and backend APIs. Experience exposing and managing RESTful APIs using API Gateway / Cloud Endpoints / Azure API Management and load balancers (ALB, Application Gateway); integration with Angular/React frontends. Hands-on experience with relational databases (RDS / Cloud SQL / Azure SQL) and NoSQL options (DynamoDB / Firestore / Cosmos DB); expertise in data modeling, performance tuning, and transactional integrity. Experience implementing security using IAM / Service Accounts / Azure AD, VPCs/VNETs, security groups/NSGs, and secrets management via AWS Secrets Manager / GCP Secret Manager / Key Vault. Experience deploying Angular/React applications using S3 + CloudFront / Cloud Storage + Cloud CDN / Azure Storage + Azure CDN, including CDN caching, environment configuration, and performance optimization. Experience with CI/CD pipelines using CodePipeline / Cloud Build / Azure DevOps, GitHub Actions, or Jenkins for Python and UI applications. Experience with Docker and Kubernetes (EKS / GKE / AKS) for containerized Python microservices and frontend workloads. Experience with monitoring and logging tools (CloudWatch / Stackdriver / Azure Monitor), centralized logging, metrics, alerts, and production troubleshooting. Ability to diagnose production issues, optimize performance, and ensure high availability with minimal handholding.Skills Strong communication skills with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders. Proven experience working directly with clients and business stakeholders to clarify requirements, manage expectations, and reduce ambiguity. Ability to ask the right questions, challenge assumptions constructively, and drive clarity in complex or evolving problem spaces. Strong collaboration mindset; able to work effectively with cross-functional teams including product managers, designers, QA, and platform teams. Ownership-driven approach with the ability to independently drive tasks to completion with minimal handholding Good to Have Skills/Project Experience: Certification Agile Development and Collaboration Experience working in Agile/Scrum or SAFe environments with iterative delivery and continuous feedback. Ability to collaborate effectively with product, QA, and platform teams to deliver high-quality features incrementally. Comfortable participating in sprint planning, estimations, reviews, and retrospectives with a delivery-oriented mindset Exposure to frontend frameworks such as React.js or Angular with ability to integrate UI components seamlessly with backend services Built AI-powered applications using LangChain and/or LangGraph (e.g. chatbots, copilots, retrieval-augmented apps) and experience in designing/optimizing prompts for LLMs Experience in Testing frameworks – PyTest, Selenium, Playwright for automation testing Awareness of any of the industry domains