Infrastructure Security Engineer, WatsonX Orders – ML

Introduction
We are looking for a skilled Security Engineer to help secure infrastructure & applications across AWS k8s and edge location for our ML powered AI.

Your Role and Responsibilities
Collaborate with compliance leaders software developers and SREs to implement secure designs while maximizing reliability performance and supporting key business KPIs.

Implement design and support security tooling across cloud infrastructure in AWS for detection remediation and compliance.

Ensure the release of secure code through DevSecOps tooling and by partnering with developers in the development of secure coding practices

Perform code reviews infrastructure security assessments and assist in remediation.

Build automated and performant security tooling to maintain secure at scale.

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Required Technical and Professional Expertise
2+ years experience developing security roadmaps security team operations and collaborating with business stakeholders to improve security posture across multiple environments.

4+ years of security industry experience including attack mitigations threat modeling and implementation of infrastructure protection in AWS.

3+ years of experience in securing AWS & k8s including architecture automation integration and deployment.

3+ Years of infrastructure security OS hardening compliance and risk management with emphasis on Linux.

2+ Years of experience in DevSecOps working across the software lifecycle to ensure the release of secure code.

3+ years Experience in Python experience developing applications and tooling with secure coding practices.

Preferred Technical and Professional Expertise
Experience designing and implementing infrastructure as code pipelines in Terraform with a focus on security

Expertise implementing and support AWS security tools for detection and remediation.

Experience with security architecture for AAA in microservice environments

Penetration testing experience

Experience with SIEMs incident response and forensics.

What we offer:
• Working for a top 5 IT company according to Forbes 2022 best employers ranking
• International and prestigious projects
• Highly skilled teams of experts
• Wide range of IBM trainings and certificates
• Unlimited access to Udemy Harvard Business Review Safari O’Reilly getAbstract IBM AI Skills Academy
And what is more:
• Contract of employment
• Competitive compensation – salary range depending on your skills and experience
• Private medical care and life insurance
• Employee Assistance Program
• Sport charity & other networking groups
• Summer / winter camps for children
• Discounts with IBM employee badge
• Referral Bonus Program
• Home office option
• No dress code