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Lead Analyst - .Net Full Stack Developer + AI/ML

Exclusive opportunity

Hybrid

Lead Analyst - .Net Full Stack Developer + AI/ML

CGI

Lead Analyst - .Net Full Stack Developer + AI/ML

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerTypescriptC#.NETTesting & QAMicroservicesHTMLBootstrapSnowflakeJenkinsPostmanSeleniumPlaywrightMachine LearningAIGitHubKubernetesOraclePower BIJavascriptAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

21 August 2026

What they need


Role & responsibilities

  • Design, develop, enhance, and maintain enterprise web applications using C#, .NET/.NET Core, ASP.NET, Angular, and TypeScript.
  • Develop scalable, secure, and high-performance REST APIs and microservices.
  • Build responsive and user-friendly web interfaces using Angular, TypeScript, JavaScript, HTML5, CSS, Bootstrap, and jQuery.
  • Design, develop, and optimize database solutions using SQL Server and Oracle.
  • Develop complex SQL queries, stored procedures, functions, packages, and PL/SQL components.
  • Integrate applications with enterprise systems, third-party applications, APIs, and data platforms.
  • Develop and maintain automated UI, API, integration, and regression testing frameworks.
  • Work with automation testing tools such as Selenium, Playwright, Postman, Rest Assured, Karate, Robot Framework, or similar technologies.
  • Design, implement, and maintain CI/CD pipelines using Azure DevOps, Jenkins, and/or GitHub Actions.
  • Deploy, configure, monitor, and support applications on Microsoft Azure and/or GCP.
  • Work with Docker and Kubernetes for application containerization and deployment.
  • Participate in application troubleshooting, root-cause analysis, incident resolution, and production support activities.
  • Support data engineering and ETL processes using technologies such as SSIS, Snowflake, BigQuery, Dataflow, and/or Data Fusion.
  • Develop and maintain enterprise reports and dashboards using Power BI, SSRS, and/or Crystal Reports.
  • Leverage GitHub Copilot, Generative AI, Prompt Engineering, and AI-assisted development to improve software development, testing, documentation, and troubleshooting.
  • Collaborate with Business Analysts, QA teams, DevOps engineers, data engineering teams, and business stakeholders throughout the software development lifecycle.
  • Participate in Agile/Scrum ceremonies, requirement analysis, design discussions, development, testing, deployment, and post-production support.
  • Work independently across development, QA, DevOps, data, and support functions while ensuring quality and timely delivery.

Preferred candidate profile

  • 8-12 years of software development experience, with significant hands-on expertise in the Microsoft .NET ecosystem.
  • Strong experience in full-stack enterprise application development.
  • Proven hands-on expertise in C#, .NET/.NET Core, ASP.NET, Angular, TypeScript, and REST APIs.
  • Strong database development experience with SQL Server and/or Oracle, including complex SQL, stored procedures, functions, packages, and PL/SQL.
  • Experience developing and supporting enterprise-scale applications and microservices.
  • Hands-on experience with automated testing frameworks and API/UI testing tools such as Selenium, Playwright, Postman, Rest Assured, Karate, or Robot Framework.
  • Experience implementing and maintaining CI/CD pipelines using Azure DevOps, Jenkins, and/or GitHub Actions.
  • Exposure to Microsoft Azure and/or GCP cloud platforms.
  • Hands-on or working knowledge of Docker and Kubernetes.
  • Experience with data engineering, ETL, and data integration technologies such as SSIS, Snowflake, BigQuery, Dataflow, or Data Fusion.
  • Experience developing enterprise reports and dashboards using Power BI, SSRS, and/or Crystal Reports.
  • Exposure to Generative AI, GitHub Copilot, Prompt Engineering, AI-assisted development, and AI-driven automation.
  • Strong understanding of Agile/Scrum methodologies and the complete software development lifecycle.
  • Strong troubleshooting, debugging, root-cause analysis, and production-support capabilities.
  • Excellent communication, analytical, problem-solving, and stakeholder-management skills.
  • Ability to work independently while collaborating effectively with cross-functional technical and business teams.
  • Comfortable taking ownership of technical deliverables from requirements through development, testing, deployment, and production support.

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