cloud technologies, cybersecurity, and artificial intelligence (AI)
. The ideal candidate will design, implement, and manage secure, scalable cloud-based systems while leveraging AI solutions to enhance business efficiency and security. This role requires a strong foundation in system architecture, security frameworks, and emerging AI-driven technologies.
Key Responsibilities
Cloud Engineering
Design, deploy, and manage applications and services on leading cloud platforms (AWS, Azure, GCP).
Ensure high availability, scalability, and performance of cloud-based infrastructure.
Optimize cloud costs and resource usage.
Cybersecurity
Implement and monitor robust cybersecurity frameworks, policies, and controls.
Conduct risk assessments, vulnerability testing, and incident response.
Safeguard systems and data against unauthorized access, breaches, and cyber threats.
Artificial Intelligence (AI)
Develop and integrate AI/ML models into business applications.
Work on data preprocessing, model training, and deployment.
Explore automation and predictive analytics opportunities for organizational improvement.
General Engineering
Collaborate with cross-functional teams (developers, analysts, business leaders) to deliver technology solutions.
Stay updated with the latest in cloud, security, and AI advancements.
Provide technical mentorship and training to junior engineers.
Qualifications
Bachelor's/Master's degree in Computer Engineering, Computer Science, or related field.
Proven experience (X+ years) in
cloud computing (AWS/Azure/GCP), cybersecurity, and AI/ML
.
Strong knowledge of programming languages (Python, Java, C++, etc.).
Hands-on experience with containerization (Docker, Kubernetes) and DevOps practices.
Familiarity with security standards (ISO 27001, NIST, GDPR compliance, etc.).
Strong analytical, problem-solving, and communication skills.
Job Type: Full-time
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