Applications Developer : Gulfstream Aerospace

Interview : Video

Visa : USC, GC

This is onsite from day-1

Description :

Will need their month and birth day ( along with the last 4 of their ssn) for submission.

The job description is below:

What You'll Do
• Design, build, and deploy internal web applications end-to-end using modern tooling and practices
• Work across the full stack: database design (SQL Server, Oracle, backend APIs (Python/FastAPI), and frontend interfaces (React/Vite with TypeScript)
• Containerize applications with Docker and help establish modern CI/CD pipelines for automated testing and deployment
• Help migrate existing applications off legacy Windows Server/IIS infrastructure to modern, containerized deployments
• Collaborate directly with end users - engineers, 3D designers - to understand workflows and iterate on solutions
• Troubleshoot production issues across the entire stack, from database queries to container orchestration
• Contribute to architecture decisions and help shape the team's technical direction as we modernize

Required Qualifications
• 3+ years of experience building and deploying full-stack applications in a professional setting
• Strong proficiency in Python and JavaScript/TypeScript; familiarity with additional languages a plus
• Experience with relational databases (SQL Server, Oracle, or similar)
• Hands-on experience with Docker and containerized application deployment
• Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps Pipelines, GitLab CI, or similar)
• Comfort working in Linux environments for deployment and server administration
• Comfort working across multiple languages and frameworks without a strong preference for one stack
• Demonstrated ability to independently take a project from concept to production
• Working knowledge of AI/LLM integration: experience calling model APIs, building RAG pipelines, prompt engineering, or embedding AI capabilities into applications

Preferred Qualifications
• Experience with FastAPI, React (Vite), or modern Python web frameworks
• Experience with container orchestration (Kubernetes, Docker Compose, or similar)
• Familiarity with aerospace, manufacturing, or other complex engineering domains
• Experience with Git and Azure DevOps for version control
• Deeper AI/ML experience: fine-tuning models, vector databases (FAISS, pgvector), anomaly detection, or document classification

What We're Looking For (Mindset)
Beyond technical skills, we're looking for a specific type of person:
• Builder instinct – You'd rather ship something real than debate architecture endlessly
• Pragmatism – You pick the right tool for the job, even if it's not the trendiest
• Domain curiosity – You care about why the tool matters to the person using it, not just the code
• Self-direction – On a 3-person team, there's no room to wait for someone to hand you tickets
• Full-ownership mentality – You're comfortable being the person who deploys, monitors, and fixes your own work

Bachelor's Degree required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job. 5 ys in specific technical discipline or 10 yrs broad eng experience in several technical disciplines with Bachelors. Experience credit considered for related adv degrees limited to 2 yrs for Masters, 4 yrs for PhD in fields applicable to this job.

Gulfstreams list of questions are below:

• Linkedin:
• GitHub:
• Current Location:
• Current Citizenship:
• Please list any employment gaps/job hopping explained:

Required Qualifications	Yes/No	Total years of exp/ Name of company worked at
3+ years of experience building and deploying full-stack applications in a professional setting
Strong proficiency in Python and JavaScript/TypeScript; familiarity with additional languages a plus
Experience with relational databases (SQL Server, Oracle, or similar)
Hands-on experience with Docker and containerized application deployment
Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps Pipelines, GitLab CI, or similar)
Comfort working in Linux environments for deployment and server administration
Comfort working across multiple languages and frameworks without a strong preference for one stack
Demonstrated ability to independently take a project from concept to production
Working knowledge of AI/LLM integration: experience calling model APIs, building RAG pipelines, prompt engineering, or embedding AI capabilities into applications