Uplers10.03.26
AI SCORE 8.5

Lead Software Engineer - Remote Position

$3K/month

About the Role

We are hiring a Lead Software Engineer to join our team in a fully remote capacity. As a Lead Software Engineer, you will play a pivotal role in developing and maintaining large-scale, distributed, cloud-native systems. This position is perfect for those who thrive in a fast-paced environment and are passionate about backend development.

What You'll Do

  • Design, develop, and own production-grade Node.js backend services.
  • Deliver features end-to-end — from design and estimation to deployment and monitoring.
  • Build scalable APIs and event-driven systems using Kafka and Temporal.
  • Work extensively with MongoDB, including designing efficient schemas and writing complex queries.
  • Implement non-functional requirements such as performance, scalability, and reliability.
  • Independently debug issues, perform root cause analysis (RCA), and drive fixes to completion.
  • Participate in design reviews, code reviews, and Agile ceremonies.
  • Improve CI/CD pipelines and deployment automation.

Requirements

  • 8+ years of overall software engineering experience.
  • Bachelor’s or Master’s degree in Computer Science or a related discipline.
  • Strong hands-on experience with Node.js, including understanding of Node.js internals.
  • 2–4 years of experience building and deploying enterprise Node.js applications using Kubernetes.
  • Practical MongoDB experience, including indexing strategies and query optimization.
  • Experience building and consuming REST APIs for scalable systems.
  • Experience developing cloud-native microservices.

Nice to Have

  • Deep expertise in MongoDB, especially complex queries.
  • Experience with Kafka, caching systems (Redis), and distributed systems concepts.
  • Strong hands-on problem-solving ability demonstrated through writing correct, production-ready code.

What We Offer

  • Competitive salary of $3428/month.
  • Fully remote work environment.
  • Opportunity to work with a global leader in data integrity.
  • Supportive team culture focused on growth and development.
  • Flexible working hours to accommodate your schedule.
Why This Job8.5 of 10

This Lead Software Engineer position at Uplers offers a competitive salary and the chance to work remotely on innovative projects in data integrity.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Expertise in building scalable Node.js applications with a strong understanding of asynchronous programming and event-driven architecture, as well as proficiency in REST API design and implementation.

Self-motivated and disciplined, thriving in a fully remote work environment by demonstrating exceptional time management skills and the ability to effectively collaborate with cross-functional teams using tools like Slack and Jira.

Proven experience in leading teams through the software development lifecycle, with a strong focus on implementing CI/CD pipelines using tools such as Jenkins or GitLab CI, and a mindset geared towards continuous improvement and cloud-native technology adoption.

Learning Resources

Node.js Documentationguide

Career Path

Lead Software Engineer(Now)Engineering Manager(1-2 years)Director of Engineering(3-5 years)

Market Overview

Node.js Market Size 2024
$21.3B
Annual Growth
34.4%
AI Adoption in Development
45%
Investment in Node.js Startups
+120%
Labour Demand for Node.js Developers
+38%
Avg Salary for Lead Node.js Engineer
$135K

Skills & Requirements

Required
Node.jsMongoDBKubernetes
Growing in Demand
GraphQLMicroservices ArchitectureTypeScript
Declining
jQueryAngularJS 1.x

Domain Trends

Rise of Serverless Architectures
Serverless computing is gaining traction, with 60% of organizations considering it for their next project due to reduced operational costs.
Increased Focus on DevOps Practices
Adoption of DevOps methodologies is up by 50%, enhancing CI/CD processes and collaboration between development and operations teams.
Growing Demand for Real-time Data Processing
The need for real-time data applications is increasing, with a 70% rise in companies implementing streaming technologies like Kafka.

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