Software Engineer III

Role

Software Engineer – .NET, Azure & Angular

Contract duration

6–12 Months contract, with Potential for Permanent Conversion

Experience

5–7 Years

Location

Bellandur, Bangalore

Working Hours

1:30 PM – 10:30 PM / 8:00 AM – 5:00 PM

Interview Process

2 Virtual Interviews

Position Summary

The Software Engineer will design, develop, test, and maintain scalable full-stack web applications, backend services, REST APIs, and integration components supporting RMF business and engineering systems. The role requires hands-on expertise in C#, .NET Core, Microsoft Azure, and Angular, along with strong software engineering practices, automated testing, and Agile delivery.

Key Responsibilities

• Software Engineering & Full-Stack Development
• Develop and maintain full-stack applications using C#, .NET Core/.NET, ASP.NET Web API, and Angular.
• Design and develop scalable backend services, REST APIs, and enterprise application integrations.
• Build responsive and reusable UI components using Angular, TypeScript, HTML, JavaScript, and CSS/SCSS.
• Apply SOLID principles, object-oriented programming, dependency injection, and design patterns.
• Implement exception handling, logging, validation, debugging, and secure configuration management.
• Write and maintain unit, integration, and regression tests.
• Document APIs using OpenAPI/Swagger.
• Microsoft Azure & Cloud Engineering
• Develop and support cloud-native applications using Microsoft Azure PaaS services.
• Work with Azure App Service, Azure Functions, Azure Storage, Azure Service Bus, Azure Redis, and Azure SQL Database.
• Support application deployment, monitoring, troubleshooting, and production operations.
• Apply best practices for performance, scalability, availability, resiliency, and cloud cost optimization.
• Work with SQL databases, document databases, asynchronous processing, messaging, and distributed systems.
• Agile Delivery & Collaboration
• Participate in sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
• Collaborate with product owners, architects, QA engineers, DevOps engineers, data engineers, and domain specialists.
• Identify technical risks, dependencies, technical debt, and improvement opportunities.
• Support production incidents, root cause analysis, and continuous improvement activities.
• AI-Assisted Development & Engineering Standards
• Use approved Generative AI tools, such as GitHub Copilot, for code generation, refactoring, documentation, and test creation.
• Validate AI-assisted outputs for security, reliability, maintainability, and compliance.
• Demonstrate awareness of Python, Generative AI concepts, and data engineering fundamentals.
• Work with enterprise tools and standards, including Orion, Azure DevOps Pipelines, ACME, NextPage, Status, GHAZDO, DAST, Visual Studio, Visual Studio Code, and ServiceNow, as applicable.
• Follow Chevron engineering standards, including CDAS, cvxcontrols, secure coding, and operational excellence practices.

Required Skills & Qualifications

• 5–10 years of experience in software development.
• Strong hands-on experience in C#, .NET Core/.NET, ASP.NET Web API, and full-stack application development.
• Strong working knowledge of Angular, Blazor, TypeScript, HTML, JavaScript, and CSS/SCSS.
• Experience developing cloud-native applications using Microsoft Azure PaaS services.
• Hands-on experience with REST APIs, backend services, system integration, and SQL-based data access.
• Strong understanding of SOLID principles, design patterns, dependency injection, object-oriented programming, and asynchronous programming.
• Experience with Git, Azure DevOps, CI/CD pipelines, release automation, and automated testing.
• Experience working in Agile environments.
• Strong problem-solving, communication, collaboration, and ownership skills.

Preferred Skills

• Experience with Python for backend development, automation, testing, or engineering workflows.
• Familiarity with Azure Service Bus, Azure Redis, Azure Functions, Azure Storage, and Azure SQL Database.
• Exposure to Docker, containerization, and Azure Container Registry.
• Experience with Azure Monitor, Application Insights, logging, and production observability.
• Understanding of authentication and authorization, including Azure Active Directory integration.
• Experience with GitHub Copilot or similar AI-assisted development tools.
• Awareness of secure coding, application scanning, DAST, dependency management, and enterprise compliance.
• Knowledge of RMF, reservoir engineering, forecasting, or subsurface domains is preferred but not mandatory.

Expected Outcomes

• Deliver secure, scalable, and maintainable full-stack applications aligned with business requirements.
• Build reliable .NET APIs, Angular interfaces, and Azure-hosted services.
• Improve code quality, application stability, and engineering efficiency.
• Ensure predictable Agile delivery through ownership, collaboration, and continuous improvement.