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Applications open Full-Time Job

Python- Software Engineer II

Deloitte

  • Hyderabad, India
  • Competitive Package
  • 4-7 Years
  • Posted Yesterday
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About the role

Summary

Position Summary

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. You’ll 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 Consulting’s 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 fo r

  • 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.

Location: Bengaluru/Hyderabad

Shift Timings: 11 AM to 8 PM or 2 PM to 11 PM

Qualifications

Must Have Skills [AG1] /Project Experience/Certifications:

  • Core Python Engineering:

Required

  • 4-7 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

Our purpose

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work.

Professional development

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people.

Explore DU: The Leadership Center in India .

Benefits To Help You Thrive

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits.

Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Requisition code: 350855

Eligibility & process

Who can apply

Employment type: Full-time

Skills & stack

Python JavaScript SQL React Angular Django FastAPI Flask

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Python, JavaScript, SQL, React, Angular, Django, FastAPI, Flask) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Deloitte Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Deloitte as a Python- Software Engineer II?
Highlight Deloitte's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
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