Cyber Security Engineer (6 Month )

🏢 Boardroom Appointments · all Boardroom Appointments jobs
📍 South Africa
📅 Posted 2026-08-22 · via Himalayas
🏷 Cybersecurity-Engineering,Cloud-Security,DevSecOps,Infrastructure-Security,AWS-Security,Senior-Cybersecurity-Engineer
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Cyber Security Engineer - 6 Month Contract
Minimum Requirements:

- 7+ years experience in Infrastructure, Software Development, DevOps or Security

- 4+ years of design and implementation of highly available, enterprise-scale public Cloud infrastructure.

- 3+ years in AWS with a focus on Data, Security & IAM

- 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. Ie; 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 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, PostgresSQL, RedShift, Oracle, etc.

- Experience working with Vault/Secret platforms, ie; 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, CLIs, Shell, and 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

- Communications Skills

- Cloud Data Security: Experience securing data in cloud environments (e.g., AWS, Azure, GCP).

- Data Security: Proficiency with securing big data platforms, and database systems and ensuring data integrity (e.g., Hadoop, Spark, MSSQL, Oracle).

- Data Masking:

- Knowledge of data masking an

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