Requirements
- Experience : 9+ years
- Strong hands-on experience in Google Apigee API development, API management, API proxy development, 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.
- Strong understanding of API security, authentication, authorization, access control, and enterprise integration patterns.
- Experience designing, developing, and managing RESTful APIs and integration services.
- Good understanding of OAuth 2.0, JWT, API keys, traffic management, rate limiting, quotas, caching, and API governance.
- Experience with Python frameworks such as FastAPI, Flask, or Django.
- Strong understanding of REST, HTTP protocols, JSON/XML payloads, synchronous and asynchronous integration patterns, retries, timeouts, and error handling.
- Ability to independently troubleshoot complex technical issues across API gateways, backend services, and multiple integration layers.
- Experience with Git, CI/CD pipelines, automated testing, and software development best practices.
- Ability to assess and validate AI-generated code for quality, security, performance, and maintainability.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Ability to work independently, make sound technical decisions, and deliver solutions in an enterprise environment.
- Good understanding of software engineering fundamentals rather than relying solely on AI-generated code.
- Familiarity with Apigee X or Apigee Hybrid, Google Cloud Platform (GCP), and cloud-native application development would be an advantage.
- Exposure to Docker, Kubernetes, microservices, and containerized application development would be beneficial.
- Familiarity with MCP (Model Context Protocol), tool calling, and agentic AI development workflows would be an advantage.
- Experience integrating AI coding agents into enterprise development environments with appropriate security and governance controls would be beneficial.
- Exposure to automated security scanning, API observability, performance testing, GitHub Actions, or Jenkins would be an added advantage.
Responsibilities
- Design, develop, deploy, and maintain enterprise APIs using Google Apigee.
- Develop and manage Apigee API proxies, shared flows, policies, reusable integration components, and backend integrations.
- 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, testing, 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 compliance with engineering standards.
- Integrate AI-assisted development practices into software 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, and ensure adherence to secure coding standards.
- Participate in technical design discussions, code reviews, architectural decisions, and continuous improvement initiatives.
- Implement source control, automated testing, CI/CD, and deployment best practices.
- Collaborate with architects, developers, security teams, and business stakeholders to deliver reliable integration solutions.
- Mentor engineers and contribute to engineering best practices, knowledge sharing, and improved developer productivity.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.