Our Client, a global tech firm, is seeking a Cyber Security Engineer (Data Security) to join their team in Cape Town on a contract basis for 6 months.
Purpose
- To provide cloud security expertise to build out and maintain resilient, scalable, cost-effective, and high-performing Cloud solutions that will assist in becoming the best bank in the world.
Experience
Minimum:
- 7+ years' experience in Infrastructure, Software Development, DevOps, or Security
- 4+ years design and implementation of highly available, enterprise-scale public Cloud infrastructure.
- 3+ years in AWS with a focus on Data, Security & IAM
- Experience introducing cloud security technology (start-up) in an environment – processes, principles, etc.
- Design and hands-on troubleshooting background on AWS Platform (Azure or GCP will be advantageous).
- Experience working in a DevOps environment.
- Experience developing and supporting infrastructure and cloud security capabilities for microservices-based architectures.
- Experience working with CI/CD technologies, e.g., GitLab and GitHub.
- Experience with authentication and authorization technologies and protocols (LDAP, Kerberos, AD, OAuth 2.0, OpenID Connect, SAML).
- Experience working with scripting and provisioning and IAC tools like Terraform, Ansible, CloudFormation, or equivalent.
Ideal:
- 2+ years in AWS with a focus on Networking
- Experience in a financial services or banking organization
- Infrastructure security
- Experience in engineering data pipelines using Big Data technologies such as Spark, Kafka, Hadoop, Storm, etc.
- Experience with ELK, New Relic, or similar on Public Cloud Platforms.
- Experience with Docker and Kubernetes, EKS.
- Experience working in a fast-paced Agile/Scrum environment (Atlassian Stack).
- Experience working with various Database technologies, SQL Server, MySQL, PostgreSQL, RedShift, Oracle, etc.
- Experience working with Vault/Secret platforms, e.g., Hashicorp.
Qualifications (Minimum)
- A relevant tertiary qualification in AWS Foundation or Cloud Computing
Qualifications (Ideal or Preferred)
- Bachelor's Degree in Information Technology or Engineering – Other
- Relevant certifications such as CISSP, CISM, CISA, or other security-related certifications.
- AWS Data/Security certification
Knowledge
Minimum:
- Basic understanding of at least one high-level programming language (GoLang / .net / Java / Python)
- Advanced scripting skills in at least one interpreted language (Bash/PowerShell)
- Design and deployment of highly available, enterprise-scale Cloud infrastructure.
- Advanced knowledge of infrastructure concepts, technologies, and patterns (SDLC, IaC).
- Practical, working knowledge of:
- Developing and delivering systems on AWS Platforms (Azure or GCP will be advantageous).
- Supporting and enhancing build and release processes through automation using a combination of processes and existing tools.
- Understanding of Cloud Security technologies and best practices.
- Understanding of Networking in Cloud environments.
Ideal:
- Previous experience in a DevOps role and incorporating security controls in the build process.
- Experience in engineering data and/or security log pipelines using Big Data technologies such as Spark, Kafka, Hadoop, Storm, etc.
- Demonstrated experience in designing, implementing, and managing data security solutions for structured and unstructured data.
- Understanding of modern software engineering patterns, including those used in highly scalable, distributed, and resilient systems.
- Ability to deliver long-term, repeatable IAC solutions that incorporate directly into an overall CI/CD process.
- Knowledge of JSON templates, PowerShell, CLI's, Shell, Python.
- Experience working with cross-functional teams and providing data security guidance to developers and IT staff.
- Familiarity with regulatory requirements and industry standards related to data protection.
Skills
- Communication Skills
- Cloud Data Security: Experience securing data in cloud environments (e.g., AWS, Azure, GCP).
- Data Security: Proficiency with securing big data platforms, database systems, and ensuring data integrity (e.g., Hadoop, Spark, MSSQL, Oracle).
- Data Masking: Knowledge of data masking and tokenization tools and their integration.
- Knowledge of data obfuscation techniques to protect sensitive information.
Competencies
- Care and passion for our people
- Earn and extend trust
- Simplify and make it easy
- Drive innovation mindset
- Lead with the "Why"
- Attract and relentlessly develop people
- Make decisions - faster and smarter
- Inspire optimism and persistence
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