Software engineer APIGEE

We are looking for an experienced Software Engineer – Apigee with 15 years of software engineering experience and strong hands-on expertise in Python, Apigee, API development, Google Cloud Platform (Google Cloud Platform), and AI/ML technologies. The ideal candidate will be responsible for designing, developing, securing, deploying, and managing enterprise-grade APIs and integrating them with cloud-based and AI/ML solutions.

This role requires strong experience in API architecture, Apigee API Management, Python development, Google Cloud Platform services, microservices, cloud integration, and AI/ML-enabled applications. The candidate should be comfortable working in a startup environment where they will contribute to architecture, development, deployment, and technical decision-making.

Key Responsibilities

• Design, develop, deploy, and maintain scalable RESTful APIs using Apigee API Management.
• Build and manage API proxies, API products, developer portals, shared flows, policies, and API security configurations.
• Develop backend services, integrations, and automation using Python.
• Design API-led architectures and integrate APIs with internal, external, cloud, and third-party systems.
• Implement API security using OAuth 2.0, JWT, API keys, TLS/SSL, and other authentication and authorization mechanisms.
• Configure Apigee policies for authentication, authorization, traffic management, rate limiting, quotas, caching, mediation, transformations, and threat protection.
• Develop and integrate APIs with Google Cloud Platform (Google Cloud Platform) services.
• Work with Google Cloud Platform services such as Cloud Run, Cloud Functions, GKE, Pub/Sub, Cloud Storage, BigQuery, Secret Manager, IAM, and Cloud Logging/Monitoring.
• Develop microservices and cloud-native applications using Python and related frameworks.
• Integrate AI/ML models and services into APIs and enterprise applications.
• Build API interfaces for Generative AI, machine learning, LLM, and AI-powered applications.
• Support integration with AI/ML platforms, model-serving endpoints, and data-processing pipelines.
• Collaborate with data scientists and AI/ML engineers to expose models through secure and scalable APIs.
• Design high-performance and highly available API architectures suitable for production workloads.
• Implement API monitoring, logging, analytics, troubleshooting, and performance optimization.
• Automate API deployment and infrastructure processes using CI/CD and DevOps practices.
• Work with Git-based source control and automated deployment pipelines.
• Participate in architecture discussions, technical design, code reviews, and development standards.
• Troubleshoot production issues involving APIs, Apigee, Python services, Google Cloud Platform infrastructure, and integrations.
• Create technical documentation covering API specifications, architecture, security, deployment, and operational procedures.
• Work closely with product managers, architects, developers, DevOps engineers, and AI/ML teams in a fast-paced startup environment.

Required Skills

Core Technical Skills

• 14+ years of overall software engineering experience.
• Strong hands-on experience with Apigee / Apigee X.
• Strong programming experience with Python.
• Strong experience developing and consuming REST APIs.
• Strong understanding of API Management and API Gateway architecture.
• Hands-on experience with Google Cloud Platform (Google Cloud Platform).
• Experience with AI/ML integration and AI-powered applications.
• Strong understanding of microservices and cloud-native architectures.

Apigee

• Apigee API Proxy development.
• API Products and Developer Apps.
• Shared Flows.
• Apigee Policies.
• OAuth/JWT security.
• Quota and Spike Arrest.
• API caching.
• Request/response transformation.
• Fault handling and error management.
• API analytics and monitoring.
• Apigee X / Google Cloud Apigee experience preferred.

Python

• Strong Python programming skills.
• Python-based REST API development.
• Experience with frameworks such as FastAPI, Flask, or Django.
• API integrations and automation.
• Exception handling, logging, testing, and performance optimization.

Google Cloud Platform

• Apigee / Apigee X.
• Cloud Run.
• Cloud Functions.
• GKE.
• Pub/Sub.
• BigQuery.
• Cloud Storage.
• Secret Manager.
• IAM.
• Cloud Logging and Monitoring.

AI/ML

• Understanding of AI/ML concepts and application integration.
• Experience integrating ML models through APIs.
• Experience with Generative AI / LLM applications is highly desirable.
• Experience integrating AI services or model endpoints into enterprise applications.
• Knowledge of RAG, LLM APIs, prompt engineering, embeddings, or vector databases is a plus.

API & Cloud Architecture

• REST, JSON, HTTP/HTTPS.
• API security and authentication.
• Microservices architecture.
• Event-driven architecture.
• Cloud-native application development.
• Distributed systems.
• CI/CD and DevOps practices.
• Git-based development.

Preferred Qualifications

• Experience with Apigee X on Google Cloud.
• Experience working with startup or product engineering environments.
• Experience designing enterprise API platforms from the ground up.
• Experience with Generative AI and LLM-based applications.
• Knowledge of Vertex AI is a strong plus.
• Experience with Docker and Kubernetes.
• Experience with Terraform or Infrastructure as Code.
• Experience with Jenkins, GitHub Actions, GitLab CI/CD, or similar tools.
• Experience with Agile/Scrum methodologies.