OVERVIEW

Our clients technology powers thousands of retail websites, providing tools to help clients retain users and gain valuable analytical insights.
They are seeking a talented Node.js Backend Developer with a strong background in serverless architecture, MySQL, distributed systems, infrastructure as code, and extensive AWS experience. As a key member of their development team, you will be responsible for building and maintaining high-performance, scalable backend systems. Your role will include designing, developing, and maintaining cutting-edge backend solutions, as well as mentoring junior developers.

REQUIRED SKILLS

• Proficiency in Node.js development with a deep understanding of its core principles and ecosystem.
• Extensive experience in designing and building serverless architectures using AWS Lambda, API Gateway, and related services.
• Strong knowledge of distributed systems and the ability to design scalable, fault-tolerant applications.
• Expertise in working with MySQL databases, including design, query optimisation, and performance tuning.
• Significant experience with AWS services, including S3, DynamoDB, SQS, SNS, IAM, Athena, and CloudWatch.

DESIRABLE SKILLS

• Familiarity with containerisation technologies (e.g., Docker).
• Understanding of CI/CD pipelines.
• Experience with serverless frameworks like Serverless, AWS SAM, Terraform, or CloudFormation.
• Experience with AWS Fargate for container-based deployments.
• Knowledge of AWS Lambda Layers and custom runtimes.
  Job Sector: IT
  Job Location: Canary Wharf
  Job Category: Web Developing
  Job Type: Permanent
  Job Salary: £60-65

• Design and implement serverless backend solutions using Node.js, MySQL, and AWS technologies.
• Develop and maintain APIs and microservices to support various applications.
• Collaborate with cross-functional teams to gather requirements and propose effective solutions.
• Stay updated with emerging technologies and trends in backend development and AWS services.
• Document technical specifications, architectural decisions, and codebase to ensure knowledge sharing and system reliability.
• Optimise database schemas, queries, and indexes for efficient data storage and retrieval.
• Implement caching strategies to enhance system performance and reduce latency.