Lead Software Engineer (Apigee)
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Role details
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Job description
We are looking for a skilled Software Engineer with strong experience in Apigee, AI/ML, Python, and Google Cloud Platform (Google Cloud Platform). The ideal candidate will have a strong software engineering background and experience designing, developing, integrating, and supporting scalable cloud-based applications and APIs., * 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.
Requirements
This is an onsite position in Atlanta, GA, and candidates should 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 containerization technologies such as Docker and Kubernetes.
- Knowledge of Google Cloud Platform services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, BigQuery, and Vertex AI.
- Experience integrating machine learning models into production applications.
- Experience with API security, authentication, authorization, and governance.
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