If you are energized by solving complex business problems through technology and want to help shape the future of global tax delivery, consider joining the US Tax Transformation technology team. This is an opportunity to play a meaningful role in Deloitte’s digital transformation by helping bring innovative products, capabilities, and experiences to life for our tax professionals and stakeholders around the world. You will work at the intersection of business, technology, and execution—partnering across teams to support high-impact initiatives that improve how we operate, serve clients, and create value at scale.
Deloitte Tax Services India Private Limited commenced operations in June 2004. Since then, nearly all of the Deloitte Tax LLP (“Deloitte Tax”) U.S. service lines have obtained support through Deloitte Tax in India. Deloitte Tax in India offers you opportunities to learn U.S. taxation, a much sought-after career option.
At Deloitte, we are leading clients through the tax transformation taking place in the marketplace. We offer a broad range of fully integrated tax services and add greater impact to clients by combining technology and tax technical resources to uncover insights and smarter solutions for navigating an increasingly complex global environment.
Work you’ll do
- As a Lead Software engineer, you will be responsible for:
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Participate in requirements analysis.
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Collaborate with US and Vendors’ teams to produce software design and architecture
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Write clean, scalable code using .NET programming languages.
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Test and deploy applications and systems.
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Revise, update, refactor and debug code.
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Develop, support and maintain applications and technology solutions.
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Ensure that all development efforts meet or exceed client expectations. Applications should meet requirements of scope, functionality, and time and adhere to all defined and agreed upon standards.
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Become familiar with all development tools, testing tools, methodologies and processes.
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Become familiar with the project management methodology and processes.
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Encourage collaborative efforts and camaraderie with on-shore and off-shore team members.
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Demonstrate a strong working understanding of the industry best standards in software development and version controlling.
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Ensure the quality and low bug rates of code released into production.
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Work on agile projects, participate in daily SCRUM calls and provide task updates.
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Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process terabytes of data quickly at big-data scales
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Contributes design, code, configurations, manage data ingestion, real-time streaming, batch processing, ETL across multiple data storages
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Responsible for performance tuning of complicated SQL queries and Data flows
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Design and operationalize multi-agent (agentic) Generative AI (GenAI) workflows (planner/worker patterns, tool use, agent memory, retries/fallbacks) integrated with enterprise data products and retrieval services
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Build and maintain agent tool backends (search/retrieval, document ingestion, SQL generation guardrails, governance checks) with strong observability (tracing, evaluation, quality metrics) for production reliability
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Own the vector retrieval layer end-to-end: embedding pipelines, indexing strategy, hybrid search patterns, and latency/throughput optimization for Retrieval-Augmented Generation (RAG) use cases
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Lead implementation of Zilliz Cloud / Milvus in production: collection design, partitions, index selection/tuning, bulk ingest patterns, and retrieval performance tuning
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Implement MongoDB-based data services for GenAI workloads (document modeling, aggregation pipelines, change streams for event-driven processing, and sharding/scale patterns)
The Team
Deloitte Tax LLP's Tax Transformation Office (TTO) is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The TTO team focuses on enhancing Deloitte Tax LLP’s ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, Six Sigma, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.
Location – Hyderabad & Gurugram
Shift Time – 11 am to 8 pm or 2 pm to11 pm
Qualification Required
- 6+ years of strong hands-on experience on C#, SQL Server, OOPS Concepts, Micro Services Architecture.
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At least one year hands-on experience on .NET Core, ASP.NET Core Web API, SQL, NoSQL, Entity Framework 6 or above, Azure, Database performance tuning, Applying Design Patterns, Agile.
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Skill for writing reusable libraries.
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Experience in Azure cloud data platform
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Experience working with vector databases (Milvus, Postgres, etc.)
- Knowledge of embedding models and retrieval-augmented generation (RAG) architectures
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Understanding of LLM pipelines, including data preprocessing for GenAI models
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Experience deploying data pipelines for AI/ML workloads, ensuring scalability and efficiency
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Familiarity with model monitoring, feature stores (Feast, Vertex AI Feature Store), and data versioning
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Experience with CI/CD for ML pipelines (Kubeflow, MLflow, Airflow, SageMaker Pipelines)
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Understanding of real-time streaming for ML model inference (Kafka, Spark Streaming)
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Knowledge of Data Warehousing, design, implementation and optimization
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Knowledge of Data Quality testing, automation and results visualization
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Knowledge of BI reports and dashboards design and implementation (PowerBI)
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Experience with supporting data scientists and complex statistical use cases highly desirable
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Hands-on experience delivering multi-agent systems using common orchestration patterns/frameworks (e.g., agent graphs, tool-calling, structured outputs), including evaluation and safety/guardrail approaches for enterprise use
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Production experience with Zilliz (Milvus) (self-managed or Zilliz Cloud): vector indexing methods, metadata filtering, hybrid retrieval, and performance tuning at scale
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Strong MongoDB experience: schema design for semi-structured data, aggregation framework proficiency, indexing strategies, and operational best practices (backup/restore, security, performance)
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Experience integrating MongoDB + vector search patterns and/or using MongoDB as a metadata store alongside Milvus/Zilliz for RAG pipelines
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Excellent Communication skills both oral & written.
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Excellent troubleshooting and communication skills, ability to communicate clearly with US counterparts.
Additional Information/Nice to Have:
- Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/Release configuration.
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Self-starter with solid analytical and problem-solving skills.
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This is an experienced level position, and we will train the qualified candidate in the required applications.
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Willingness to work extra hours to meet deliverables.
