Applications Developer : Gulfstream Aerospace

Interview : VideoVisa : USC, GCThis is onsite from day-1Description :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 DoDesign, build, and deploy internal web applications end-to-end using modern tooling and practicesWork 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 deploymentHelp migrate existing applications off legacy Windows Server/IIS infrastructure to modern, containerized deploymentsCollaborate directly with end users - engineers, 3D designers - to understand workflows and iterate on solutionsTroubleshoot production issues across the entire stack, from database queries to container orchestrationContribute to architecture decisions and help shape the team's technical direction as we modernizeRequired Qualifications3+ years of experience building and deploying full-stack applications in a professional settingStrong proficiency in Python and JavaScript/TypeScript; familiarity with additional languages a plusExperience with relational databases (SQL Server, Oracle, or similar)Hands-on experience with Docker and containerized application deploymentFamiliarity with CI/CD pipelines (GitHub Actions, Azure DevOps Pipelines, GitLab CI, or similar)Comfort working in Linux environments for deployment and server administrationComfort working across multiple languages and frameworks without a strong preference for one stackDemonstrated ability to independently take a project from concept to productionWorking knowledge of AI/LLM integration: experience calling model APIs, building RAG pipelines, prompt engineering, or embedding AI capabilities into applicationsPreferred QualificationsExperience with FastAPI, React (Vite), or modern Python web frameworksExperience with container orchestration (Kubernetes, Docker Compose, or similar)Familiarity with aerospace, manufacturing, or other complex engineering domainsExperience with Git and Azure DevOps for version controlDeeper AI/ML experience: fine-tuning models, vector databases (FAISS, pgvector), anomaly detection, or document classificationWhat 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 endlesslyPragmatism - You pick the right tool for the job, even if it's not the trendiestDomain curiosity - You care about why the tool matters to the person using it, not just the codeSelf-direction - On a 3-person team, there's no room to wait for someone to hand you ticketsFull-ownership mentality - You're comfortable being the person who deploys, monitors, and fixes your own workBachelor'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