Full Stack Developer

HCL Global Systems Inc; Charlotte (NC); On-site; USD 110,000 - 170,000; Full time

Job summary

HCL Global Systems Inc is seeking an experienced, full-stack software engineer to design and deliver scalable services. You will work on Python (FastAPI/Flask) and Java (Spring Boot) applications, build RESTful APIs, and deploy on AWS.

Strong collaboration and code-review skills are required to succeed in cross-functional teams. You will leverage PySpark, SQL, and data tools for analytics, while ensuring security, observability, and performance in enterprise production systems.

Qualifications

• Minimum 6–8 years of experience in software development.
• 7+ years of full-stack development experience.
• Strong hands-on development experience with Python (FastAPI or Flask).
• Strong hands-on development experience with Java and Spring Boot.

Responsibilities

• Develop RESTful APIs, microservices, serverless apps, and event-driven solutions.
• Develop and deploy AWS cloud-based applications.
• Work with Python, PySpark, SQL for data engineering or analysis.
• Collaborate across cross-functional teams and perform code reviews.
• Maintain security, observability, and performance optimization in production.

Skills

Python

Java

REST APIs

AWS

PySpark

SQL

PostgreSQL/Aurora

Git

CI/CD

Docker

Kubernetes

Terraform/CloudFormation

Testing frameworks

Security/Observability

Problem solving/Communication

GitHub Copilot (AI tools)

Tools

Jenkins

GitHub Actions

ECS/EKS

Job description

We will work only on w2.

Minimum years of experience: 6-8 years

7+ years of full-stack software development experience.

Strong hands-on development experience with:

Python, including FastAPI or Flask

Java and Spring Boot

Experience developing RESTful APIs, microservices, serverless applications, and event-driven solutions.

Strong experience with AWS cloud development and deployment.

Experience with Python, PySpark, SQL, and data engineering or data analysis.

Experience with Amazon Redshift, PostgreSQL/Aurora, Oracle, RDS, or DynamoDB.

Experience with Git, GitLab, Jenkins, GitHub Actions, or AWS-native CI/CD tools.

Experience with Docker, Kubernetes, ECS/EKS, Terraform, or CloudFormation.

Knowledge of automated testing frameworks and practices.

Understanding of application security, observability, performance optimization, and enterprise production support.

Strong problem-solving, communication, collaboration, and code-review skills.

Ability to work independently and within cross-functional teams.

Nice to have :-

Experience with GitHub Copilot or other generative AI development tools.

Knowledge of Amazon Bedrock, Claude Sonnet, prompt engineering, guardrails, or GenAI evaluation.

Experience with Amazon Neptune, Gremlin, SPARQL, or Graph APIs.

Knowledge of R programming.

Experience with Karate, JUnit, Testcontainers, pytest, or similar testing frameworks.

Familiarity with OpenTelemetry, CloudWatch, Datadog, or comparable observability tools.

Knowledge of OAuth 2.0, OIDC, JWT, and enterprise data-governance practices.

Financial services, mortgage, secondary-market, or Fannie Mae project experience