We are looking for a talented Senior Backend Developer to join our team and help build the next generation of our global SaaS platform. You will work on designing and implementing scalable backend services, microservices architecture, and cloud-based solutions that power our enterprise-grade applications. This is an opportunity to work with modern technologies, solve complex problems, and deliver solutions that impact thousands of organizations worldwide.
Develop and maintain backend services using Node.js, Express, and modern frameworks.
Design, build, and optimize RESTful and GraphQL APIs for seamless integration with frontend applications and external services.
Develop and integrate AI agents and services utilizing Large Language Models (LLMs) within the backend architecture.
Architect and enhance microservices for high performance, reliability, and scalability.
Work with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) and implement efficient data access patterns.
Collaborate closely with Product, Frontend, and DevOps teams to deliver secure, robust, and scalable solutions.
Deploy, monitor, and maintain Node.js services in cloud environments such as AWS (including Docker/Kubernetes).
Ensure high code quality through automated testing, peer reviews, and adherence to best practices in secure coding.
Participate in system architecture design and contribute to ongoing process and technology improvements.
Develop and maintain backend services using Node.js, Express, and modern frameworks.
Design, build, and optimize RESTful and GraphQL APIs for seamless integration with frontend applications and external services.
Develop and integrate AI agents and services utilizing Large Language Models (LLMs) within the backend architecture.
Architect and enhance microservices for high performance, reliability, and scalability.
Work with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) and implement efficient data access patterns.
Collaborate closely with Product, Frontend, and DevOps teams to deliver secure, robust, and scalable solutions.
Deploy, monitor, and maintain Node.js services in cloud environments such as AWS (including Docker/Kubernetes).
Ensure high code quality through automated testing, peer reviews, and adherence to best practices in secure coding.
Participate in system architecture design and contribute to ongoing process and technology improvements.
Requirements:
4+ years of backend development experience with a strong focus on Node.js (JavaScript/TypeScript).
Hands-on experience building and maintaining enterprise-grade applications with frameworks such as Express.js or NestJS.
Experience or strong demonstrable knowledge of working with Large Language Models (LLMs) and their APIs.
Proven expertise in microservices architecture and distributed systems design.
Strong experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB), including query optimization.
Solid knowledge of RESTful API design and best practices for secure, scalable services.
Familiarity with Docker and Kubernetes for containerized deployments.
Experience with messaging systems (e.g., RabbitMQ, Kafka) and caching layers (e.g., Redis).
Understanding of CI/CD pipelines, Git workflows, and Agile methodologies.
Strong analytical and problem-solving skills with keen attention to detail.
Bonus Points For:
Experience with cloud platforms (AWS preferred) and cloud-native application development.
Familiarity with serverless architectures and advanced AWS services.
Exposure to observability tools (e.g., Prometheus, Grafana, ELK stack) and performance monitoring.
Knowledge of security best practices for cloud and microservices environments.
Direct experience building generative AI agents or applications.
Knowledge of prompt engineering, vector databases, or context engineering.
4+ years of backend development experience with a strong focus on Node.js (JavaScript/TypeScript).
Hands-on experience building and maintaining enterprise-grade applications with frameworks such as Express.js or NestJS.
Experience or strong demonstrable knowledge of working with Large Language Models (LLMs) and their APIs.
Proven expertise in microservices architecture and distributed systems design.
Strong experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB), including query optimization.
Solid knowledge of RESTful API design and best practices for secure, scalable services.
Familiarity with Docker and Kubernetes for containerized deployments.
Experience with messaging systems (e.g., RabbitMQ, Kafka) and caching layers (e.g., Redis).
Understanding of CI/CD pipelines, Git workflows, and Agile methodologies.
Strong analytical and problem-solving skills with keen attention to detail.
Bonus Points For:
Experience with cloud platforms (AWS preferred) and cloud-native application development.
Familiarity with serverless architectures and advanced AWS services.
Exposure to observability tools (e.g., Prometheus, Grafana, ELK stack) and performance monitoring.
Knowledge of security best practices for cloud and microservices environments.
Direct experience building generative AI agents or applications.
Knowledge of prompt engineering, vector databases, or context engineering.
This position is open to all candidates.
