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!

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.

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