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AI-Powered Job Summary
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- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
- Design, develop, and maintain Python-based microservices that are scalable, efficient, and secure.
- Deploy and manage containerized applications on GCP Cloud Run.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Optimize applications for high performance and scalability.
- Implement CI/CD pipelines for automated testing and deployments.
- Monitor, troubleshoot, and maintain production systems to ensure reliability and uptime.
- Write clean, maintainable code while adhering to best practices and coding standards.
- Stay current with emerging technologies in microservices, cloud, and DevOps.
- Strong experience as a Python Developer, with hands-on expertise in microservices development.
- Solid understanding of containerization and orchestration (Docker, Kubernetes).
- Experience working with Google Cloud Platform—especially Cloud Run, Cloud Functions, and related services.
- Proficiency in building and consuming RESTful APIs, with good knowledge of microservices architecture.
- Experience with SQL/NoSQL databases and data modeling.
- Proficient in Git and familiar with CI/CD tools and workflows.
- Strong analytical and problem-solving skills; ability to work both independently and collaboratively.
- Excellent communication skills.
- Additional experience with Python frameworks such as Flask, FastAPI, or Django.
- Understanding of DevOps tools (Terraform, Jenkins).
- Familiarity with monitoring and logging platforms like Prometheus, Grafana, or Stackdriver.
- Additional cloud experience—particularly with Google Cloud—is a plus.
- A challenging, innovating environment.
- Opportunities for learning where needed.
Key Skills
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