Chevron Recruitment Program 2026 :-
Chevron is hiring candidates for the role of API Developer, Reservoir Management & Forecasting for the Bengaluru, India locations. The complete details about Chevron Recruitment Program 2026 are as follows.
| Company Name:- | Chevron |
| Required Education: | Graduation |
| Required Skills: | Experience with Python frameworks and packages such as FastAPI, Pydantic, Pytest, Pandas, or Polars. Basic knowledge of statistics as applied to engineering or analytical workflows. |
| Job Area | Reservoir Management & Forecasting |
| Job ID: | R000071532 |
Qualifications
Differentiating & Desired Skills
- Experience with Python frameworks and packages such as FastAPI, Pydantic, Pytest, Pandas, or Polars.
- Basic knowledge of statistics as applied to engineering or analytical workflows.
- Familiarity with common backend and enterprise application design patterns (e.g., repository, factory, strategy).
Behaviors & Continuous Improvement
- Demonstrates Chevron Way and Operational Excellence (OE) behaviors: direct, decisive, accountable, and results-focused.
- Owns and closes backlog work items and shows initiative in identifying features aligned with RMF product objectives.
- Demonstrates strong problem-solving capability with appropriate escalation to peers, leads, architects, or Chevron Cloud Support.
- Collaborates effectively with cross-functional and geographically dispersed teams.
- Demonstrates openness to feedback, continuous learning, and improvement.
- Contributes to a safe, respectful, and inclusive work environment.
About the position:
- The API Developer is responsible for designing, developing, testing, and maintaining backend services and application programming interfaces (APIs) that support RMF business and engineering applications.
- The role focuses on building secure, reliable, and maintainable backend solutions using Microsoft Azure, .NET, and Python within homegrown web applications.
- This position works closely with cross-functional teams including product owners, front-end developers, data engineers, and domain specialists to implement well-defined requirements and deliver scalable solutions.
- The role operates within established enterprise standards, tooling, and deployment pipelines, applies sound object-oriented design principles, and contributes to continuous improvement of system performance, reliability, and code quality.
- The role also leverages Generative AI (GenAI)–enabled engineering practices to improve development efficiency and solution quality.
Key Responsibilities :
Software & Backend API Engineering
- Design, develop, test, and support backend services and RESTful APIs in a production environment.
- Develop internal APIs using C#, .NET, and Python, including OpenAPI / Swagger documentation.
- Apply SOLID principles and established design patterns to create loosely coupled, maintainable, and extensible solutions.
- Apply sound API design principles including data validation, error handling, and versioning.
- Write maintainable, readable, and testable code following modern software engineering best practices.
- Implement and maintain unit tests to ensure code quality, reliability, and regression prevention.
- Apply core software engineering concepts such as object-oriented design, asynchronous processing, threading, source control, and structured debugging.
- Demonstrate working knowledge of Angular and Blazor to support UI integration and troubleshooting (secondary skill).
Skills Required
Cloud & Data Engineering
- Develop and operate applications within an enterprise Microsoft Azure cloud platform.
- Implement solutions using Azure services such as Azure Functions, Azure App Services, and Azure Redis.
- Work with multiple data storage models including Document databases, Azure Storage Accounts, and SQL databases.
- Support application performance, reliability, and scalability through efficient backend and system design.
- Monitor, log, and troubleshoot application behavior in a cloud environment.
- Demonstrate familiarity with containerization concepts.
Generative AI (GenAI) & Modern Engineering Practices
- Use enterprise-approved Generative AI tools (e.g., GitHub Copilot) to assist with code generation, refactoring, documentation, and unit test creation.
- Apply human-in-the-loop judgment to ensure AI-assisted outputs adhere to Chevron standards for security, reliability, maintainability, and compliance.
- Continuously evaluate and responsibly adopt emerging GenAI capabilities within enterprise guardrails.
Enterprise Tools & Standards
- Work within Chevron-built tools such as Orion, Azure DevOps Pipelines (formerly Pipeline Framework), ACME, NextPage, and Status.
- Use commonly adopted tools including GHAZDO, DAST, GitHub Copilot (intermediate level), Visual Studio Code, and ServiceNow (SNOW).
- Ensure solutions align with Chevron engineering standards including CDAS and cvxcontrols.
Chevron Recruitment Program 2026 Application Process:-
Apply In Below Link
Apply Link:- Click Here To Apply (Apply before the link expires)
Note:– Only shortlisted candidates will receive the call letter for further rounds
