Software Engineer III

Role Type - C2H

Shift timings : 01:30 - 10:30 PM

Years of experience - 5-10 years

Position Summary

The Software Engineer is responsible for designing, developing, testing, and maintaining scalable full-stack web applications, backend services, APIs, and integration components that support RMF business and engineering systems. This role focuses on building secure, reliable, and maintainable software solutions using .NET Core / C#, Microsoft Azure, Angular, and sound software engineering practices including design patterns, SOLID principles, automated testing, and Agile delivery methods.

The position works closely with product owners, architects, data engineers, QA engineers, front-end developers, and domain specialists to translate business requirements into robust technical solutions. The role contributes across the software development lifecycle, from design through deployment and production support, while ensuring alignment with enterprise standards, tooling, security, and operational excellence practices.

The role also leverages Generative AI enabled engineering practices, where approved, to improve development efficiency, code quality, documentation, test creation, and delivery effectiveness while applying human judgment and enterprise guardrails.

Key Responsibilities

Software Engineering & Full-Stack Development

• Design, develop, test, and support scalable backend services, REST APIs, and integration components in production environments.
• Years of experience - 5 - 10 years
• Build and maintain full-stack applications using C#, .NET Core / .NET, ASP.NET Web API, and Angular.
• Develop responsive, reusable, and maintainable UI components using Angular, HTML, CSS/SCSS, TypeScript, and JavaScript.
• Apply SOLID principles, object-oriented design, and established design patterns to create extensible and maintainable software solutions.
• Implement integration solutions across enterprise applications, services, databases, and cloud platforms while ensuring reliability, scalability, and security.
• Develop and maintain RESTful APIs and service interfaces, including API documentation using OpenAPI / Swagger.
• Apply engineering practices such as exception handling, validation, logging, versioning, dependency management, structured debugging, and secure configuration management.
• Write clean, readable, testable, and maintainable code aligned with modern engineering standards and team coding practices.
• Create and maintain unit, integration, and regression tests to improve code quality, prevent regressions, and support long-term maintainability.

Cloud & Azure Development Engineering

• Develop and operate applications within an enterprise Microsoft Azure cloud environment.
• Build solutions using Azure PaaS services such as Azure App Service, Azure Functions, Azure Storage, Azure Service Bus, Azure Redis, Azure SQL Database, and other relevant cloud-native services.
• Support deployment, monitoring, troubleshooting, and operational support of cloud-hosted applications.
• Design solutions for performance, availability, scalability, resiliency, maintainability, and cost awareness in alignment with enterprise cloud standards.
• Work with structured and unstructured data storage solutions including SQL databases, document databases, and storage accounts.
• Demonstrate familiarity with distributed systems, asynchronous processing, messaging, background jobs, and containerization concepts.
• Use Azure monitoring and observability practices to identify issues, improve performance, and support production reliability.

Frontend Engineering & User Experience

• Develop intuitive, accessible, and responsive user interfaces using Angular and modern frontend engineering practices.
• Collaborate with stakeholders and domain users to understand workflows and convert requirements into effective user experiences.
• Integrate frontend applications with secure backend APIs and cloud-hosted services.
• Maintain frontend code quality through reusable components, modular architecture, state management practices, and consistent UI patterns.
• Optimize frontend performance, browser compatibility, and usability across supported application environments.

Agile Delivery & Collaboration

• Work within Agile teams to deliver features and enhancements iteratively with quality and predictability.
• Participate in backlog refinement, sprint planning, daily standups, sprint reviews, and retrospectives.
• Collaborate effectively with product owners, architects, QA engineers, DevOps engineers, and cross-functional teams to clarify requirements and deliver business value.
• Proactively identify risks, dependencies, technical debt, and improvement opportunities during delivery execution.
• Support production incidents, root cause analysis, and continuous improvement activities when required.

Generative AI & Modern Engineering Practices

• Use enterprise-approved Generative AI tools, such as GitHub Copilot, to assist with code generation, refactoring, documentation, test creation, and productivity improvement.
• Apply human judgment to validate AI-assisted outputs for security, reliability, maintainability, compliance, and business fit.
• Explore and responsibly adopt emerging engineering practices, including AI-assisted development workflows, within approved enterprise guardrails.
• Demonstrate awareness of Python, GenAI concepts, and data engineering fundamentals to support modern solution development where relevant.

Enterprise Tools & Standards

• Work within Chevron-built tools such as Orion, Azure DevOps Pipelines, ACME, NextPage, and Status where applicable.
• Use commonly adopted tools including GHAZDO, DAST, GitHub Copilot, Visual Studio, Visual Studio Code, Azure DevOps, and ServiceNow.
• Ensure solutions align with Chevron engineering standards including CDAS, cvxcontrols, secure coding expectations, and operational excellence practices.

Primary Skills (Must-Have)

Differentiating & Desired Skills

• Experience with Python for backend development, automation, testing, or engineering workflows.
• Understanding of Generative AI concepts and AI-assisted software engineering practices.
• Familiarity with data engineering concepts, including data pipelines, transformation, and structured or unstructured data handling.
• Exposure to Azure Service Bus, Azure Redis, distributed systems, asynchronous processing, and containerized application patterns.
• Familiarity with common backend and enterprise application design patterns such as repository, factory, strategy, mediator, and dependency injection patterns.
• Awareness of application observability, monitoring, logging, performance optimization, and cloud cost optimization practices.

Required Skills / Qualifications

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

Secondary / Preferred Skills

• Experience with Azure Service Bus, Azure Redis, Azure Functions, Azure Storage, and Azure SQL Database.
• Exposure to Docker, containerization concepts, and Azure Container Registry.
• Experience with Azure Monitoring, logging, application insights, and production observability practices.
• Understanding of authentication and authorization concepts, including Azure Active Directory integration.
• Experience using GitHub Copilot or similar enterprise-approved AI-assisted development tools.
• Awareness of secure coding, application scanning, DAST, dependency management, and enterprise compliance practices.
• Relevant RMF, reservoir engineering, forecasting, or subsurface domain knowledge is preferred but not mandatory.

Behaviours & Continuous Improvement

• Demonstrates Chevron Way and Operational Excellence behaviours: direct, decisive, accountable, and results-focused.
• Takes ownership of assigned work items and drives them to closure with quality and accountability.
• Shows initiative in identifying technical improvements, automation opportunities, and modernization ideas aligned with RMF product objectives.
• Collaborates effectively with cross-functional and geographically distributed teams.
• Demonstrates openness to feedback, continuous learning, and adoption of modern engineering practices.
• Contributes to a safe, respectful, inclusive, and high-performing team environment.

Role Success Indicators

• Delivers secure, scalable, and maintainable full-stack application features aligned to business priorities.
• Builds reliable .NET APIs, Angular interfaces, and Azure-hosted services that improve user experience and operational stability.
• Improves engineering quality through testability, observability, reusable components, and disciplined delivery practices.

Supports predictable Agile delivery through ownership, collaboration, proactive risk identification, and