C# Cloud-Native Software Engineer

5 days ago

Irvine, California, United States Talent Space Full time
Talent Space, Inc. Job Description

We are seeking a highly skilled Cloud-Native Software Engineer to lead the design, development, and deployment of cloud-native applications using C# and React.

Key Responsibilities:
  • Design and develop microservices-based applications to enhance scalability and maintainability.
  • Utilize containerization technologies, such as Docker, to package and deploy application components consistently across various environments.
  • Implement and manage container orchestration using Kubernetes for automated deployment, scaling, and operation of application services.
  • Collaborate with cross-functional teams to implement DevOps practices, including CI/CD pipelines, infrastructure as code (IaC), and automated testing.
  • Architect and implement solutions that scale horizontally to meet dynamic and changing workloads while optimizing resource utilization.
  • Design and implement resilient and fault-tolerant applications, ensuring high availability and quick recovery from failures.
  • Implement robust monitoring and logging practices, leveraging tools like Prometheus and Grafana to ensure visibility into application performance.
  • Champion API-first design principles, creating well-defined and documented APIs to facilitate seamless communication between microservices and external systems.
  • Embrace agile methodologies for rapid and iterative development cycles, responding quickly to changing requirements and delivering high-quality software.
  • Experience utilizing AI for increased productivity and software quality, including code generation, debugging, test automation, log anomaly detection.
Qualifications:
  • Bachelor's or higher degree in Computer Science, Engineering, or related field.
  • Proven experience in designing, developing, and deploying cloud-native applications.
  • Enterprise software design principles: cloud native application design (i.e., SOLID, 12 Factor applications, or similar), distributed message & event processing, api gateway, service mesh, serverless applications; AI/Client principles, MLOps fundamentals.
  • Expertise in microservices architecture, containerization, and orchestration tools (e.g., Docker, Kubernetes).
  • Expertise in multiple programming languages such as C#, Python, or similar, along with proficiency in relevant frameworks and libraries.
  • Expertise in backend development and working knowledge of databases (e.g., SQL, NoSQL).
  • Expertise in JavaScript frameworks like Angular.js, Vue.js or React for building single-page applications.
  • Hands on experience with creating CI/CD pipelines.
  • Experience with scalable and resilient system design.
  • Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and infrastructure-as-a-service (IaaS) offerings.
  • Familiarity with monitoring, logging, and observability tools.
  • Excellent collaboration and communication skills.

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