Senior Cloud Engineer - Cloud Optimization

Chevron is accepting online applications for the position Senior Cloud Engineer - Cloud Optimization through June 30th, 2026 at 11:59 p.m. (Central Time).OverviewLead end-to-end design and development of cloud-native FinOps platform capabilities, with a primary focus on API-driven services, agentic AI solutions, and optimization automation across Azure environments. Own overall solution integrity across FinOps services, data pipelines, and application layers, ensuring architectural consistency across backend services, front-end applications, and AI-driven workflows.The FinOps Optimization platform is a multi-year enterprise initiative designed to deliver standardized, scalable capabilities for cloud cost visibility, automation, and intelligent optimization. The platform will enable continuous innovation, reduce manual intervention through automation, improve cost efficiency, and lower total cost of ownership across the enterprise cloud landscape.Responsibilities for this position may include but are not limited to:Lead end-to-end design and development of FinOps platform services, ensuring solution integrity across APIs, microservices, front-end applications, and AI-driven workflowsDesign and build scalable backend services and APIs supporting cost analytics, optimization recommendations, and automation workflowsDevelop and integrate agentic AI capabilities that generate, orchestrate, and execute optimization actions across cloud environmentsEnsure adherence to enterprise architecture standards, API governance practices, and secure development principlesOwn engineering decisions related to architecture patterns, service design, containerization, and technical debt trade-offsPartner with Product Management, FinOps stakeholders, and engineering teams to align solutions with cost optimization outcomes and product roadmap prioritiesInfluence feature prioritization, solution simplification, and implementation trade-offs to reduce complexity, delivery risk, and operational costProvide technical perspective on system design implications, risks, and solution options to engineering and product leadershipLead development and deployment of applications using modern DevOps practices, including CI/CD pipelines and containerized environments (Docker)Ensure observability, reliability, and performance of deployed services through monitoring, logging, and telemetry integrationIntegrate cost and usage data from cloud platforms, APIs, and third-party tools to enable actionable FinOps insightsMentor engineers and promote engineering excellence through code reviews, best practices, and architectural guidanceRequired Qualifications5–10+ years of experience in software engineering and application development for enterprise-scale platformsProven experience developing scalable, API-first applications and microservices architectures in cloud environmentsStrong programming experience in:C# / .NETJavaScript (React)PythonDemonstrated experience developing and consuming APIs (REST, JSON, OpenAPI standards)Experience with containerization technologies such as Docker and modern deployment architecturesStrong experience with cloud platforms (Azure preferred), including application hosting, integration, and automation servicesSolid understanding of distributed systems, microservices, and event-driven architecturesProven experience implementing CI/CD pipelines and DevOps practices for automated delivery (GitHub, Ansible)Experience designing secure, scalable, and high-performing applications and servicesBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experiencePreferred QualificationsExperience with FinOps practices, cloud cost optimization, or financial governance platformsFinOps Foundation Certification (Practitioner or Professional)Experience designing and developing agentic AI or AI-driven automation solutions, including LLM-based applications or orchestration frameworksExperience with Azure services such as API Management, Azure Functions, App Services, and cloud-native data platformsFamiliarity with cost telemetry systems, billing data, and optimization tooling ecosystemsExperience working within large-scale enterprise cloud environments with cross-functional stakeholdersUnderstanding of API lifecycle management, governance, and integration best practicesExperience applying security best practices including authentication, authorization, and API protectionRelocation Options:Relocation will not be considered.International ConsiderationsExpatriate assignments will not be considered.Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.