Required Skills

Full-Stack Python TypeScript JavaScript and SQL REST APIs Node.js or Python (e.g. Fastify Aiohttp or similar) Docker containers SQL CI/CD pipelines using Gitlab Jenkins

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 6th Feb 2024

JOB DETAIL

  • Active Top Security Clearance
  • Proficiency in one or more of the following languages: Python, TypeScript, JavaScript, and SQL
  • Experience developing REST APIs with web frameworks based in Node.js or Python (e.g. Fastify, Aiohttp, or similar)
  • Experience working with relational databases and writing/maintaining SQL scripts for data-driven web applications.
  • Ability to manage Docker containers or use similar containerization technologies to ensure reliable and secure deployments.
  • Ability to test your code using a combination of unit and integration tests.
  • Experience maintaining and upgrading servers as needed.
  • Excellent verbal and written communication skills to consult with customers, understand their business needs, and identify potential process improvements.
  • Maximum 36 hours on site per week with potential for hybrid work some weeks.

Desired:

  •  Active TS / SCI clearance with CI-Poly
  •  Experience with Oracle database services
  •  Experience writing backend REST API code using Fastify (Node.js) and Aiohttp (Python) web frameworks
  • Experience in frontend UI development using JavaScript/TypeScript, or a frontend framework (e.g., React, Angular, Vue)
  •  Experience working with CI/CD pipelines using Gitlab, Jenkins, or similar tools
  • Experience with Kubernetes, or similar container orchestration tools
  • Experience working with NumPy, Pandas, scikit-learn, or similar data science / analytics libraries
  • Experience retraining machine learning models on new data and validate updated metrics
  • Annually review and calibrate predictive models and pipelines
  • Explore and analyze new/unstructured data sources and deliver insights to customers

Company Information