Cloud Platform - Fraud Prevention Software and Data Engineer

tion Full Stack Developer working in IBM Cloud needs to have a passion for technology and thrive in team environment, certain to leverage an outstanding technical community, advanced and innovative technologies to build own career growth.

Responsibilities in this role encompass identification and prototyping security architectures and technical solutions in order to support, enable and improve all the Security Functions (Identify, Protect, Detect, Respond, Recover, Compliance) across the entire IBM Cloud Platform through innovative solutions.

We are looking for someone who collaboratively contributes to design discussions and decisions, performs code and design reviews with other team members, produces documentation for the work done, and iterates to pursue solution improvements. A Fraud Prevention Software Developer also supports security tools' adopters in order to investigate, troubleshoot and address issues.

The Fraud Prevention Software Developer can work in an environment where agile is adopted as development process across different geos and cross organization.

Required Technical and Professional Expertise

• Extended experience on agile methodology

• Bachelor's in technical discipline, Computer Science (or relevant)

• 5+ years experience in software development

• Proven knowledge and practice on data science, AI, Machine Learning

• Experience on updating and managing relational databases (PostgeSQL)

• Knowledge and practice on Kubernetes, CI/CD pipeline tools (Travis, Jenkins, Tekton), git/github

• Experience on NodeJS, React and at least one among Python, GO, Ruby, Java, Javascript

• Knowledge of Cyber Security principles

• 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.

• Strong debugging, troubleshooting, and problem solving skills.

• Ability to take a project from requirements analysis through to launch and operation of the system in production.
  Implementing and maintaining statistical models

• Building and evaluating predictive models using statistical and machine learning techniques

• Design batch and stream processing pipelines

• Experience with tools for big data, ETL and data warehouses

Preferred Technical and Professional Expertise

• 2+ years experience in services integration on cloud
• Knowledge and practice on Openshift (ROKS)
• Knowledge and practice on security and compliance (Security Engineering, Cryptography, TLS/SSL, FIPS, NIST security framework)
• Experience with operations of data centers or Cloud, and network security, including security systems such as firewalls, intrusion detection, vulnerability scanning, OS patching, healthchecking
• Experience with container based architectures and implementations such as Kubernetes, docker, etc.
• Proven experience on NodeJS, React and at least one among Python, GO, Ruby, Java, Javascript; extended experience on scripting.
• Knowledge and practice on Kubernetes Operators
• Experience building extremely high volume and highly scalable web services.
• Experience building highly available systems and operating 24x7 services.
• Experience with distributed systems, consistent hashing, distributed locking, replication, and load balancing.
• Experience writing unit tests/test-driven development.