An agile mindset with effective communication and problem-solving skills.
The ability to work on majority of the areas as part of SDLC lifecycle
Passion for innovating solutions that drive progress and meet future challenges.
A proactive approach to monitoring and resolving production issues before they escalate.
Commitment to continuous learning, knowledge sharing, and fostering team development
Required Skill And Experience
Experience in end-to-end implementation of projects in Python, especially Python server-side backend programming
Understanding of OOPS concepts
Experience in SQL, Unix shell scripting
Knowledge in RESTful APIs, Data structures, Algorithms, Collections, Multi-threading and memory management and concurrency
Preferred Skill And Experience
Experience in GenAI lifecycle management and RAG pipelines
Experience with ETL. MongoDB and Hadoop will be an advantage
Experience working with agile methodologies and SDLC processes would be preferred. Knowledge of performance tuning data intensive applications
Ability to deploy python code on to containers using OpenShift and docker etc
Additional Required Qualifications
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education