Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Bright Data

Senior Backend JavaScript Developer – DCA Web Archive Team

Bright Data

. Design, build, and operate distributed ETL and data processing pipelines .

Posted 11/8/2026full-timeChinaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating distributed ETL and data processing pipelines, with a strong focus on backend development using Node.js and AWS. Proficient in optimizing performance, managing large datasets, and implementing resilient asynchronous workflows.

Highest-signal resume keywords
Node.js Backend DevelopmentDistributed Systems DesignCloud Infrastructure ExperiencePerformance OptimizationAI-Assisted Development Workflows

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringBackend JavaScriptETL PipelinesAsynchronous ProcessingMemory ManagementData ModelingPerformance OptimizationProduction ObservabilitySaaS ApplicationsEvent Loop Understanding
Soft Skills
Strong OwnershipWritten CommunicationVerbal CommunicationIndependent Problem SolvingTeam Collaboration
Tools & Technologies
AWSNoSQL DatabasesAnalytical SQL PlatformsMessage QueuesContainerized Deployments
Industry Keywords
Data ProcessingHigh-Throughput SystemsScalabilityReliabilityProduction Readiness

Tech Stack

Tools & technologies
AWSCloudETLJavaScriptNode.jsNoSQLSQL

About the role

Key responsibilities & impact
  • Design, build, and operate distributed ETL and data processing pipelines
  • Develop production-grade backend services using Node.js and AWS
  • Own technical solutions from design through deployment, monitoring, and ongoing improvement
  • Diagnose and optimize performance, including event-loop behavior, streams, backpressure, memory usage, and resource utilization
  • Build resilient asynchronous workflows with appropriate retry, failure-handling, and observability patterns
  • Work with large datasets across object storage, analytical platforms, caches, and operational databases
  • Contribute to architecture, code reviews, testing practices, and production-readiness standards
  • Use AI-assisted development tools responsibly with scoped permissions, controlled access, review gates, and validation before production deployment
  • Participate in the team’s on-call rotation and help investigate and prevent production incidents

Requirements

What you’ll need
  • 5+ years of software engineering experience, including 3+ years focused on backend JavaScript and Node.js
  • Experience building and operating production backend services or SaaS applications
  • Strong understanding of Node.js under load, including the event loop, streams, backpressure, and memory management
  • Experience designing distributed, high-throughput, or data-intensive systems
  • Practical understanding of asynchronous processing, message queues, delivery guarantees, retries, and failure handling
  • Experience working with cloud infrastructure, containerized deployments, and production observability
  • Ability to work with different data systems, including analytical SQL platforms, NoSQL databases, object storage, and high-load caches
  • Good understanding of system design, scalability, reliability, data modeling, and performance optimization
  • Strong ownership and the ability to independently drive technical work from design to production
  • Ability and willingness to learn new technologies based on engineering and product needs
  • Strong written and verbal communication skills in English
  • Practical experience with AI-assisted development workflows and a strong understanding of their risks and limitations
  • Ability to retain ownership of resulting code, treat AI-generated output as untrusted, verify it through code review and automated testing, and apply appropriate security guardrails around source code, data, credentials, tools, and production systems

Benefits

Comp & perks
  • Remote work arrangement
  • Full-time employment