NET Developer + Azure Devops at Zensar Technologies

Experience: Senior-level

Education: Bachelors

Job-type: Full Time

Location: Gauteng

Field: IT

Zensar Technologies Limited is an Indian publicly traded software and services company. The company’s stock trades on the Bombay Stock Exchange and on the National Stock Exchange of India. A subsidiary of RPG Group, the company’s chairman is Harsh Goenka.

Job overview 

  • 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 AIdriven solutions across various business functions.
  • You should have a genuine passion for technology and automation, within a dynamic, collaborative environment.
  • This is a handson, technical engineering role in a fastpaced front office setting.

Responsibilities

  • Designing, developing, and maintaining a suite of AIenhanced business applications for the front office with a focus on driving intelligent decisionmaking and streamlining highvalue 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.
  •  Building AIdriven automation solutions using platforms like Azure AI Foundry and Azure AI Services to automate complex processes, extract insights from unstructured data, and deliver measurable business impact.

Responsibilities

  • 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 hightraffic 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 fewshot examples, function calling, and response formatting for production use.
  • Experience in building AIdriven user interfaces using modern frameworks (e.g. React, Angular), with realtime interaction powered by LLM backends.
  • Handson experience using AI coding copilots (e.g. GitHub Copilot, ChatGPT) to accelerate development, reduce boilerplate, and improve code quality.
  • 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 thirdparty 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 PlatformasaService (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 promptbased 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 frontend 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 finetuning 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.

Method of Application

Meet the qualifications?

Apply now at zenser on fa-etvl-saasfaprod1.fa.ocs.oraclecloud.com  

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