Description

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

Key Skills

Education

Bachelor's degree