Senior Full Stack Python Developer

Work Authorization: This requirement is open to sponsored candidates through sub-vendors - one

layer deep. The candidates must be W2 employees of the sub vendor.

Must Have Qualifications: Strong Python Developer with strong experience in Python development,

SQL, and database technologies. Must be a strong communicator. Java experience is nice to have

Schedule: Standard

Shortlisting Deadline: June 23rd

Interview Information:

Rounds: 2 rounds

Duration: 30-60 mins

Interview Type: 1st Virtual | 2nd Onsite

Interview Placeholders: 6/26, 9:00 9:30 | 6/26, 10:00 10:30 am | 6/29, 10:00 10:30 am | 6/29,

1:00 1:30 pm

Interview Debrief: TBD will be scheduled with suppliers once all interview rounds are completed.

Job Description: Senior Python Developer

Required Experience & Education

7 10 years of professional software development experience.

Bachelor's degree in Computer Science or a related field (or equivalent experience).

Core Technical Skills (Python & Backend)

Strong professional experience with Python (backend development).

Proficiency with build/test tools: Pytest, Unittest.

Strong experience building and consuming RESTful API web services.

Experience with data manipulation and analysis using data frames (e.g., Pandas).

Proficiency with build/test tools: Gradle, FitNesse.

Proven ability to perform R&D using AI, including evaluating AI-assisted approaches,

rapidly prototyping solutions, and validating outcomes (e.g., prompt engineering,

model/tool evaluation, and integrating AI capabilities into workflows or applications).

Excellent problem-solving, analytical, and technical skills.

Strong oral and written communication skills, with the ability to clearly explain technical

concepts to both technical and non-technical stakeholders.

Database & Data Skills

Outstanding database skills with strong understanding of RDBMS (e.g., MS SQL) and data

modeling.

Ability to write advanced SQL queries for reporting, troubleshooting, and data analysis.

Experience working with structured and semi-structured data formats: XML and JSON.

DevOps / SDLC / Tooling

Understanding of Docker containers in the development process.

Understanding of application lifecycle management.

Ability to use CI/CD pipelines and related tools (e.g., JIRA, Jenkins) to build and deploy

applications.

Experience with Git and collaborative development workflows.

Preferred / Nice-to-Have (Java, BI Tools)

Experience with BI tools such as Tableau.

Past experience with Snowflake data warehouse.

Java proficiency (preferred), particularly for AI/ML development and automation.

Soft Skills

Flexible and versatile; able to adapt quickly to new environments and work across projects.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No