Required Skills

NumPy Pandas scikit-learn Dash Dask Flask Boto3

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

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 :- 28th Sep 2024

JOB DETAIL

  • We are looking for a developer, passionate about technology and adopting modern software engineering practices to join us in building next generation quantitative research platforms in the cloud. In this role, you will work within a full stack team alongside our Business Partners and Product Owners and an extremely motivated team of developers committed to working in an Agile environment.
  • You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production.
  • You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks. Ideal candidate will have a strong focus on delivering code that is observable, resilient, and secure ability to write clean, maintainable code, and read code created by others.
  • Highly collaborative, fast learner, willing to jump in and help wherever needed.
  • Enthusiasm for learning and experimenting with new technologies, tools, and processes.

Qualifications

  • Skilled in Python (NumPy, Pandas, scikit-learn, Dash, Dask, Flask, Boto3, etc.)
  • Python Software development experience
  • Experience building & supporting AWS architecture and using AWS services like EC2, CloudWatch, ECS, Sage Maker, ECS, Steps Functions, Lambda, Postgres, Aurora
  • Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Artifactory, Ansible
  • At least 4 years of experience with the above skillsets.
  • Experience working in an Agile Development environment.
  • Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.
  • Experience with software engineering tools, such as PyCharm, VS Code, Git, and others.

Company Information