JavaScript Software Engineer

Wizeline
Barcelona, Spain
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Cloud Engineering Code Review Software Debugging Distributed Systems Amazon DynamoDB Fault Tolerance Node.Js Performance Tuning Software Engineering
+11 more
Systems Integration Spring Cloud AWS Lambda Backend Event Driven Architecture Front End Software Development Asynchronous Programming Restful APIs Amazon Simple Queue Service (SQS) Data Pipelines Serverless Computing

Job description

  • Design, develop, and maintain scalable backend services using Node.js.
  • Build and optimize cloud-native applications on AWS.
  • Develop and maintain event-driven and messaging-based architectures using SQS and SNS.
  • Design and manage serverless solutions with AWS Lambda.
  • Work with DynamoDB to build high-performance, scalable data solutions.
  • Collaborate with cross-functional teams to deliver reliable, low-latency backend services.
  • Monitor, troubleshoot, and optimize system performance, availability, and scalability.
  • Participate in code reviews and contribute to engineering best practices.

Requirements

  • +5 years of experience working as a Frontend Engineer.
  • Strong experience with Node.js and backend application development.
  • Hands-on experience with AWS, including:
  • EC2
  • Lambda
  • SQS
  • SNS
  • DynamoDB
  • Experience designing and developing scalable distributed systems.
  • Knowledge of asynchronous programming and event-driven architectures.
  • Experience building RESTful APIs and backend integrations.
  • Strong problem-solving and debugging skills.
  • Excellent communication and collaboration skills.

Nice-to-have:

  • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
  • Experience building systems that process millions of messages per day with high reliability.
  • Experience designing and optimizing low-latency distributed systems.
  • Knowledge of graceful degradation strategies to ensure service resilience under failure conditions.
  • Experience with high-availability, fault-tolerant, and cloud-native architectures.
  • Familiarity with performance optimization and scalability best practices.

Experience developing projects using frameworks.What we offer:

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Working securely with Node.js path application programming interfaces

Sonya Moisset · World Congress 2023

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Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Executing event-driven code using AWS Lambda functions

Sebastien Stormacq Sebastien Stormacq · LIVE

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Bringing JavaScript developers into web artificial intelligence

Jason Mayes · Coffee With Developers

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Lambda compatibility, interface security, and career advice

Alexander Günsche Alexander Günsche · LIVE

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Identifying underlying Node.js runtime vulnerabilities using fuzzing tools

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