Senior Back-End Software Engineer

Quamputon LLC
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 135K

Job location

Remote

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Automation of Tests
Business Software
Software as a Service
Cloud Computing
Cloud Engineering
Code Review
Databases
Continuous Delivery
Continuous Integration
Cursor (Graphical User Interface Elements)
DevOps
Distributed Systems
Amazon DynamoDB
Middleware
Github
PostgreSQL
Microsoft SQL Server
MongoDB
MySQL
Node.js
Performance Tuning
Systems Development Life Cycle
Redis
Software Deployment
Software Engineering
Systems Integration
TypeScript
Enterprise Software Applications
Spring Cloud
GitHub Copilot
Delivery Pipeline
Express
Prompt Engineering
Reliability of Systems
Backend
Event Driven Architecture
Kubernetes
Information Technology
Deployment Automation
Performance Monitor
Amazon Web Services (AWS)
Integration Frameworks
GraphQL
Operational Systems
Virtual Agents
Api Design
Cloudwatch
Api Gateway
REST
Domain Driven Design
Serverless Computing
Docker
Jenkins
Microservices

Job description

  • Designed and developed enterprise-grade back-end services supporting high-volume transactional systems.
  • Architected scalable APIs and microservices using TypeScript and Node.js.
  • Built integration frameworks connecting multiple enterprise systems, including legacy applications with limited API capabilities.
  • Led technical design decisions related to database architecture, authentication models, API standards, and deployment strategies.
  • Developed and maintained CI/CD pipelines to support rapid and reliable software delivery.
  • Collaborated with cross-functional teams to design solutions that prioritize maintainability, scalability, and operational efficiency.
  • Implemented cloud-native solutions on AWS with a focus on security, monitoring, and cost optimization.
  • Leveraged AI development tools to accelerate implementation while maintaining engineering quality and code ownership.

Relevant ExperienceEnterprise Systems Integration

  • Integration of ERP, CRM, and operational systems.
  • REST, webhook, event-driven, and custom integration patterns.
  • Legacy system modernization.
  • API abstraction and middleware development.

Platform Development

  • Order management systems.
  • Workflow automation platforms.
  • Operational dashboards.
  • Enterprise business applications.

Software Delivery

  • Full SDLC ownership.
  • Technical architecture reviews.
  • Production deployment and support.
  • Performance monitoring and optimization.

Requirements

Do you have experience in Enterprise software?, Do you have a Bachelor's degree?, Highly skilled Senior Back-End Software Engineer with 8+ years of experience designing, developing, and deploying scalable enterprise applications and integrations. Strong expertise in TypeScript, Node.js, cloud-native architectures, API development, CI/CD automation, and enterprise system integrations. Proven ability to operate as an autonomous individual contributor, owning projects from architecture through deployment while maintaining high engineering standards.

Experienced in AI-assisted software development workflows utilizing tools such as GitHub Copilot, Cursor, Claude, and AI-powered development platforms to accelerate delivery while maintaining full ownership of architecture, implementation, testing, and technical decision-making.

Recognized for strong systems-thinking, clear technical communication, and the ability to confidently articulate and defend engineering decisions to senior technical stakeholders.

Core Technical SkillsBack-End Development

  • TypeScript
  • Node.js
  • Express.js
  • REST APIs
  • Microservices Architecture
  • Event-Driven Systems
  • Serverless Architectures
  • GraphQL

Enterprise Architecture

  • Distributed Systems Design
  • Domain-Driven Design (DDD)
  • API Strategy & Governance
  • Authentication & Authorization
  • Performance Optimization
  • Scalability Planning
  • System Reliability Engineering

Cloud & Infrastructure

  • Amazon Web Services (AWS)
  • Lambda
  • API Gateway
  • ECS / Fargate
  • S3
  • RDS
  • DynamoDB
  • CloudWatch
  • Infrastructure as Code

DevOps & CI/CD

  • GitHub Actions
  • AWS CodePipeline
  • Jenkins
  • Docker
  • Kubernetes
  • Automated Testing
  • Continuous Integration
  • Continuous Deployment

Databases

  • PostgreSQL
  • MySQL
  • SQL Server
  • MongoDB
  • DynamoDB
  • Redis

AI-Assisted Engineering

  • GitHub Copilot
  • Cursor
  • Claude
  • AI Agent Workflows
  • Prompt Engineering for Development
  • AI Code Review & Validation, * Strong autonomous execution with minimal supervision.
  • Solutions-oriented mindset.
  • Excellent verbal and written communication skills.
  • Ability to clearly explain and justify technical decisions.
  • Deep understanding of enterprise software architecture.
  • Proven experience delivering production-ready software in fast-paced environments.
  • Effective use of AI agents as engineering accelerators while maintaining complete technical ownership.

Education

Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or related field.

Preferred Opportunity Match

  • Enterprise Platform Development
  • Back-End Engineering
  • SaaS Product Development
  • Order Management Systems
  • Nonprofit Technology Platforms
  • Cloud-Native Applications
  • Remote Engineering Teams

Benefits & conditions

$65 an hour - Full-time

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