Software Engineer - Apigee

• Design, develop, test, and maintain scalable software applications.
• Develop and integrate APIs using Apigee and related API management technologies.
• Build Python-based applications, services, and automation solutions.
• Develop and integrate AI/ML capabilities into software solutions.
• Design and implement cloud-based solutions using Google Cloud Platform services.
• Collaborate with architects, developers, data scientists, and other technical teams.
• Troubleshoot application, API, and cloud-related issues.
• Ensure applications meet performance, scalability, security, and reliability requirements.
• Participate in code reviews, testing, deployment, and production support.
• Document technical designs, implementations, and processes.

We are looking for a skilled Software Engineer with strong hands-on experience in Apigee, AI/ML, Python, and Google Cloud Platform (Google Cloud Platform). The ideal candidate will have a solid software engineering background with experience designing, developing, integrating, and supporting scalable cloud-based applications and APIs.

This is an onsite position in Atlanta, GA, and candidates must be comfortable working onsite throughout the engagement.

Mandatory Skills

• Strong hands-on experience with Apigee
• Strong programming experience with Python
• Hands-on experience with AI/ML technologies
• Strong experience with Google Cloud Platform (Google Cloud Platform)
• Strong understanding of API development, integration, and management
• Experience developing scalable and production-ready applications
• Strong software engineering and problem-solving skills, * Bachelor’’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
• Strong professional experience in software development.
• Hands-on experience with Apigee, Python, AI/ML, and Google Cloud Platform.
• Strong understanding of REST APIs, microservices, and cloud architecture.
• Experience working in Agile/Scrum development environments.
• Excellent communication and collaboration skills.
• Strong analytical and problem-solving abilities.

Preferred Qualifications

• Experience with CI/CD and DevOps practices.
• Experience with Docker and Kubernetes.
• Knowledge of Google Cloud Platform services such as:
• Cloud Run
• GKE
• Cloud Functions
• Pub/Sub
• BigQuery
• Vertex AI
• Experience integrating machine learning models into production applications.
• Experience with API security, authentication, authorization, and governance.