Senior Staff Engineer (Google Apigee Development)

Requirements

• Experience : 7.5 years
• Strong hands-on experience in Google Apigee API development and API management including API proxies policies shared flows and backend integrations.
• Strong Python programming skills including application development debugging testing and performance optimization.
• Practical experience using AI-powered coding agents such as Claude Code GitHub Copilot or equivalent agentic development tools.
• Good understanding of REST APIs API security authentication authorization and enterprise integration patterns.
• Experience implementing API security mechanisms such as OAuth 2.0 JWT API keys and access control.
• Good understanding of API traffic management rate limiting quotas caching API governance versioning and lifecycle management.
• Experience developing RESTful APIs and backend services using Python frameworks such as FastAPI Flask or Django.
• Strong understanding of HTTP protocols JSON/XML payloads synchronous and asynchronous integration patterns timeouts retries idempotency and error handling.
• Experience with Git CI/CD pipelines automated testing and software development best practices.
• Ability to review and validate AI-generated code for correctness security performance and maintainability.
• Ability to independently troubleshoot complex technical issues across API gateways backend services and multiple integration layers.
• Strong software engineering fundamentals analytical thinking problem-solving communication and collaboration skills.
• Ability to understand existing codebases make sound technical decisions and deliver maintainable enterprise solutions.
• Experience with Apigee X or Apigee Hybrid would be an advantage.
• Familiarity with Google Cloud Platform (GCP) and cloud-native application development would be beneficial.
• Exposure to Docker Kubernetes and microservices architecture would be an added advantage.
• Familiarity with MCP (Model Context Protocol) tool calling and agentic AI development workflows would be beneficial.
• Experience integrating AI coding agents into enterprise development environments with appropriate security and governance controls would be an advantage.
• Familiarity with automated security scanning API observability performance testing GitHub Actions or Jenkins would be beneficial.

Responsibilities

• Design develop deploy and maintain enterprise APIs using Google Apigee.
• Develop and manage Apigee API proxies shared flows policies and reusable integration components.
• Implement API security mechanisms including OAuth 2.0 JWT API keys authentication authorization and access control.
• Configure API traffic management features such as rate limiting spike arrest quotas caching and fault handling.
• Manage API products developer applications environments deployments versioning and API lifecycle activities.
• Design and develop scalable robust and maintainable applications and integration services using Python.
• Build RESTful APIs and backend services using frameworks such as FastAPI Flask or Django.
• Develop reusable Python modules integration libraries automation scripts and data transformation components.
• Implement asynchronous processing exception handling logging monitoring and performance optimization.
• Leverage AI-powered coding agents such as Claude Code GitHub Copilot and similar tools for code generation refactoring debugging test automation code reviews and technical documentation.
• Design effective prompts and workflows to guide AI coding agents in solving complex engineering problems and navigating existing codebases.
• Review and validate AI-generated code for correctness security performance maintainability and adherence to engineering standards.
• Integrate AI-assisted development practices into existing engineering workflows and CI/CD pipelines.
• Apply enterprise integration patterns involving REST APIs HTTP protocols JSON/XML payloads request/response transformations and error-handling mechanisms.
• Implement reliable integration solutions using timeouts retries idempotency resilience and backward compatibility practices.
• Troubleshoot API proxy failures backend connectivity issues latency and end-to-end integration defects.
• Develop unit integration and API tests using frameworks such as pytest.
• Participate in technical design discussions code reviews and architectural decisions.
• Implement automated testing source control CI/CD and deployment best practices.
• Collaborate with architects developers security teams and business stakeholders to deliver reliable integration solutions.
• Identify opportunities to improve developer productivity through AI-assisted engineering and contribute to engineering best practices.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time