The position is for a Backend Engineer with a focus on scalable backend systems in production environments.
Candidates should have 3+ years of experience in this field.
Strong programming skills in Node.js, JavaScript, and Python are required, with an emphasis on writing clean and maintainable code.
Experience in deploying and maintaining containerized applications using Kubernetes and Docker is preferred.
Proficiency in designing and consuming REST APIs and working with frameworks like Express.js is necessary.
A solid understanding of microservices and event-driven architecture patterns is essential.
Familiarity with WebSockets, distributed systems, and modern Git-based workflows is expected.
Experience working on Google Cloud Platform (GCP) is strongly preferred.
The role involves building and deploying backend services using Docker and Kubernetes, ensuring resilient and scalable deployments on GCP.
The engineer will develop performant APIs and backend services using Node.js, Express.js, Python, and WebSockets.
Contributions to the design of microservice-based, event-driven architectures for seamless system integrations and scalable product growth are part of the job.
Requirements:
Candidates must have at least 3 years of experience in scalable backend systems in production environments.
Strong programming skills in Node.js, JavaScript, and Python are required, with the ability to write clean and maintainable code.
Experience in deploying and maintaining containerized applications using Kubernetes and Docker is preferred.
Proficiency in designing and consuming REST APIs and working with frameworks like Express.js is necessary.
A solid understanding of microservices and event-driven architecture patterns is essential.
Familiarity with WebSockets, distributed systems, and modern Git-based workflows is expected.
Experience working on Google Cloud Platform (GCP) is strongly preferred.
All candidates must pass an interview as part of the contracting process.
Benefits:
The position offers the opportunity to design and deploy backend systems for production-grade applications in a cloud-native, containerized environment.
Engineers will have the chance to deploy robust APIs and orchestrate services with Kubernetes.
The role allows for contributions to event-driven systems architecture, delivering reliable infrastructure and performant backend capabilities.
