Senior Staff Engineer Google Apigee Development

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

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.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.