Platinum Enterprise Solutions - Irvine, CA
posted 4 months ago
We are seeking a highly skilled and motivated Lead Cloud-Native Software Engineer to join our dynamic team. As a Lead Cloud-Native Software Engineer, you will play a pivotal role in not only designing, developing, and deploying cloud-native applications but also providing leadership to the team, guiding technical decisions, and ensuring the successful delivery of projects that leverage the latest technologies and architectural principles. You will lead the design, development, and maintenance of microservices-based applications to enhance scalability and maintainability. Utilizing containerization technologies, such as Docker, you will package and deploy application components consistently across various environments. You will implement and manage container orchestration using Kubernetes for automated deployment, scaling, and operation of application services. Collaboration with cross-functional teams will be essential as you implement DevOps practices, including CI/CD pipelines, infrastructure as code (IaC), and automated testing. You will architect and implement solutions that scale horizontally to meet dynamic and changing workloads while optimizing resource utilization. Designing and implementing resilient and fault-tolerant applications will be a key responsibility, ensuring high availability and quick recovery from failures. You will also implement robust monitoring and logging practices, leveraging tools like Prometheus and Grafana to ensure visibility into application performance. Championing API-first design principles, you will create well-defined and documented APIs to facilitate seamless communication between microservices and external systems. Embracing agile methodologies for rapid and iterative development cycles, you will respond quickly to changing requirements and deliver high-quality software. Additionally, you will utilize AI for increased productivity and software quality, including code generation, debugging, test automation, and log anomaly detection.