Full Stack Engineer

Quadrant IQ Solutions LLC

New Jersey

On-site

USD 140,000 - 190,000

Full time

28 hours ago
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Job summary

Quadrant IQ Solutions LLC is seeking an experienced software engineer with a strong background in backend services, APIs, and web applications based in New Jersey. You will design and build RESTful APIs, microservices, and integrate front-end apps with robust cloud-native backend services.

The ideal candidate has 7+ years in software engineering, hands-on AWS experience, and proficiency in Python/Java/Node.js, DevOps tooling, and modern observability platforms, delivering reliable, scalable

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 7+ years of software engineering, DevOps, Cloud Engineering, or SRE.
  • 4+ years of hands-on AWS experience.
  • Strong troubleshooting and problem-solving skills.
  • Experience with Kubernetes and cloud-native architectures.
  • Strong programming in Python, Java, or Node.js.

Responsibilities

  • Develop and maintain scalable backend services, APIs, and web applications.
  • Build RESTful APIs and microservices using Java/Spring Boot, Python/FastAPI, Node.js, or similar.
  • Integrate frontend applications with REST/GraphQL APIs and cloud-native backend services.
  • Design and optimize database interactions with PostgreSQL, MySQL, MongoDB, DynamoDB, or similar.
  • Implement authentication and authorization using OAuth 2.0, OpenID Connect, JWT, AWS IAM, or similar technologies.
  • Develop automated unit, integration, API, and end-to-end tests.
  • Troubleshoot application performance and scalability issues across frontend, backend, database, and infrastructure layers.

Skills

Backend development
REST APIs
Cloud AWS
DevOps practices
SRE fundamentals
CI/CD
Kubernetes
Python
Java

Education

Bachelor's degree in Computer Science

Tools

Docker
Terraform
Kubernetes
Jenkins
GitHub Actions
OpenTelemetry
AWS CDK

Job description

  • Develop and maintain scalable backend services, APIs, and web applications.
  • Build RESTful APIs and microservices using technologies such as Java/Spring Boot, Python/FastAPI, Node.js, or similar.
  • Integrate frontend applications with REST/GraphQL APIs and cloud-native backend services.
  • Design and optimize database interactions using PostgreSQL, MySQL, MongoDB, DynamoDB, or similar databases.
  • Implement authentication and authorization using OAuth 2.0, OpenID Connect, JWT, AWS IAM, or similar technologies.
  • Develop automated unit, integration, API, and end-to-end tests.
  • Troubleshoot application performance and scalability issues across frontend, backend, database, and infrastructure layers.
Required Technical Skills
Cloud
  • AWS
  • EC2, S3, VPC, IAM, RDS, DynamoDB
  • EKS/ECS, Lambda
  • CloudWatch, Route 53, API Gateway
  • SQS, SNS, EventBridge
  • AWS networking and security
SRE / DevOps
  • Site Reliability Engineering principles
  • Incident Management & Root Cause Analysis
  • CI/CD
  • Terraform / CloudFormation / AWS CDK
  • Docker
  • Jenkins / GitHub Actions / GitLab CI
  • Linux administration and troubleshooting
  • Bash/Shell scripting
  • Python
AIOps / AI
  • AIOps and intelligent event management
  • Generative AI / LLM concepts
  • AI-assisted incident management
  • Anomaly detection and predictive monitoring
  • Automated remediation / self-healing systems
  • LLM APIs and AI agent workflows
  • RAG/vector database concepts are a plus
  • Experience integrating AI with DevOps/SRE workflows
Observability
  • Grafana
  • Splunk
  • AWS CloudWatch
  • OpenTelemetry
  • Application Performance Monitoring
Full Stack
  • React / Angular
  • HTML / CSS
  • Node.js / Python / Java
  • REST APIs / GraphQL
  • Microservices
  • SQL / NoSQL databases
Preferred Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • 7+ years of experience in software engineering, DevOps, Cloud Engineering, or SRE.
  • 4+ years of hands-on AWS experience.
  • Strong experience supporting production environments and distributed systems.
  • Experience implementing AIOps or AI-powered operational solutions.
  • Experience with Kubernetes and cloud-native architectures.
  • Strong programming and scripting skills in Python, Java, Node.js, or similar languages.
  • Experience working in Agile/Scrum environments.
  • Strong troubleshooting, analytical, communication, and problem-solving skills.
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