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Dot Net Full Stack Developer
Zensar Technologies —India
- Azure
- Salesforce
- DevOps

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Dot Net Full Stack Developer
Zensar Technologies —India
Collaborate with stakeholders, business analysts, architects and engineers to design, develop, test and implement AI enabled automated solutions.

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Dot Net Full Stack Developer

Zensar Technologies -
India

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Job details

Qualifications

Azure
Law
CSS
React
Full-stack development
Kanban
Software deployment
Salesforce
DevOps
C#
PaaS
Git
.NET
Master's degree
SQL
Machine learning
JavaScript
Terraform
Natural language processing
Angular
Scrum
GitHub
APIs
ETL
Agile
AI
TypeScript
Python
HTML

Full job description

Role: Dot Net Full Stack Developer

Mandate Skill: C#, .NET, SQL, TypeScript, Azure PaaS, React or Angular
Experience: 8+ Years

Notice period: Immediate to 30 Days

Location: Mumbai (No relocation candidates – need only Mumbai based resources)
Work Mode: Work from office all 5 days

Job Description:

We are looking for a motivated and enthusiastic Full Stack Software Engineer with AI and Automation experience to join our team in developing and supporting innovative AI-driven solutions across various business functions. You should have a genuine passion for technology and automation, within a dynamic, collaborative environment.

This is a hands-on, technical engineering role in a fast-paced front office setting.

You will be responsible for:

Designing, developing, and maintaining a suite of AI-enhanced business applications for the front office with a focus on driving intelligent decision-making and streamlining high-value workflows.
Integrating advanced AI APIs into existing applications, including Azure OpenAI, and Azure AI Services to enable natural language capabilities, and optimise core business operations.

The ideal candidate will have:

A solid full stack engineering background with experience in C#, .NET, SQL, Python, TypeScript, Azure PaaS.
Extensive experience designing and developing robust, scalable applications and high-traffic APIs.
Experience of Azure AI Foundry and Azure AI Services for building, deploying and managing AI applications and agents at scale.
Skills in prompt engineering and chaining techniques to optimize LLM outputs, including few-shot examples, function calling, and response formatting for production use.
Experience in building AI-driven user interfaces using modern frameworks (e.g. React, Angular), with real-time interaction powered by LLM backends.

Collaborate with stakeholders, business analysts, architects and engineers to design, develop, test and implement AI enabled automated solutions.
Write clean code that is secure, testable and performance oriented.
Participate in code reviews and peer programming sessions to contribute to the team's overall improvement.
Communicate with internal enablement teams and third-party vendors to integrate new technology and AI enablement into the business.
Knowledgeable of software engineering fundamentals from design, coding and testing through to deployment and monitoring.
Solid understanding of C#, .Net, Python, SQL and Typescript.
Extensive experience using Azure Platform-as-a-Service (PaaS) offerings, including App Services, Container apps, Azure Functions, Key Vault, Entra ID, Azure AD B2C, Log Analytics, Hybrid Connections/ExpressRoute, and Azure API Management (APIM).
Experience utilising OpenAI / Azure AI Service Api’s and building models, tools and services with Azure AI Foundry.
Designing and testing prompt-based workflows, including integration with frameworks i.e. Semantic Kernal.
Good experience with Database and ETL technologies i.e. SQL, Azure Cosmos DB, Azure Data Factory, Azure DataLake, Power Automate, Microsoft Fabric.
Experience with infrastructure as code i.e. Terraform / Bicep
Proficient in developing front-end web applications using frameworks such as Angular or React with TypeScript, including implementing state management.
Good knowledge of HTML, CSS and JavaScript.
Good experience of applying AI productivity tools (e.g. ChatGPT, Gemini, Copilot in Microsoft 365) in daily workflows for task automation, documentation, and planning.
Understanding of ETL automation and use in business processes.
Hands on experience in Machine Learning (ML), training and fine-tuning large language models (LLMs), and integrating Natural Language Processing (NLP) APIs.
Solid understanding of Agile methodologies, including Scrum and Kanban, with a focus on tracking and improving performance using DORA metrics.
Experience using Azure Devops for planning, building, scanning and deploying production code via pipelines.
Experience working with CRM platforms and integrating with related APIs, i.e. Dynamics 365, Salesforce.
Passion for problem solving and enjoyment in dealing with complex technical issues.
Good understanding of financial markets and Investment banking business, including equities & corporate broking.
Ability to work under pressure and context switch when priority requires.
Willingness to learn, with a proactive nature in asking questions to expand knowledge.

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