Remote Fullstack Python - Poland, Polska - Antal
Opis
For one of our clients, one of the largest financial institutions in the world, We are looking for an experienced Fullstack Engineer.
About Project:
The team is accountable for Vulnerability Management, Secure Development, threat modeling, and Third Party Security Assessment.
The function drives the identification, capture, assessment, testing/verification, and ultimately the remediation of security defects, gaps, and vulnerabilities across organization estate in conjunction with business and technology teams – on-premise, within the Cloud, and for those resulting from third-party engagements.
Extensive Go Lang software development experience Strong experience in software debugging, investigating and root cause analysis, and developing fixes for software bugs.
Experience in software development with Python, using frameworks such as Fast API (being the preference), Flask, and/or Django and have experience developing data pipelines, primarily in Python, using libraries such as Pandas, Numpy, and tools such as Airflow, Luigi, etc Experience in delivering software solutions to end customers Cybersecurity-related experience would be highly advantageous
For one of our clients, one of the largest financial institutions in the world, We are looking for an experienced Fullstack Engineer.
About Project:
The team is accountable for Vulnerability Management, Secure Development, threat modeling, and Third Party Security Assessment.
The function drives the identification, capture, assessment, testing/verification, and ultimately the remediation of security defects, gaps, and vulnerabilities across organization estate in conjunction with business and technology teams – on-premise, within the Cloud, and for those resulting from third-party engagements.
, Ensure the operability of existing services, including troubleshooting, bug fixing, and writing automated test cases ] Requirements:
Python, Golang, Data pipelines, Fast API, Flask, Django, Kafka, Airflow, Java Script, Kubernetes, Linux, pandas, SQL