Senior Integration Software Engineer - Subsurface RMF

Job Summary

Total Number of Openings: 1

Senior Integration Software Engineer is a hands-on technical leader responsible for architecting, designing, developing, and maintaining scalable full-stack web applications, backend services, APIs, and integration components that support RMF business and engineering systems. With 10 - 15 years of professional experience, this role sets the technical direction for complex, cross-system solutions built on .NET Core / C#, Microsoft Azure, and Angular, applying deep expertise in design patterns, SOLID principles, automated testing, secure engineering, and Agile delivery to ensure quality, reliability, and long-term maintainability.

Key Responsibilities

Technical Leadership & Mentoring

• Provide hands-on technical leadership for one or more RMF applications, setting engineering direction and ensuring solutions meet quality, security, scalability, and maintainability expectations.
• Mentor and coach mid-level and junior engineers through pairing, design guidance, and constructive code reviews to raise overall team capability and engineering maturity.
• Establish, document, and champion engineering standards, coding guidelines, branching strategies, and Definition of Done across the team.
• Lead technical discovery, effort estimation, and risk assessment for complex features and cross-team dependencies, communicating trade-offs clearly to technical and non-technical stakeholders.
• Act as an escalation point for critical production issues, leading root cause analysis and driving durable, systemic fixes.

Architecture & Solution Design

• Own end-to-end solution architecture for full-stack and integration components, balancing performance, scalability, resiliency, security, cost, and maintainability.
• Define API contracts, integration patterns, data flows, and service boundaries across enterprise applications, databases, and Azure cloud platforms.
• Evaluate and recommend frameworks, tools, and design approaches, producing architecture decision records and reference designs aligned with Chevron enterprise and CDAS standards.
• Drive modernization, technical debt reduction, and continuous improvement of legacy and greenfield applications within the RMF product line.

Software Engineering & Full-Stack Development

• Design, develop, test, and support scalable backend services, REST APIs, and integration components in production environments.
• 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.