Senior Network & Security Engineer The Senior Network & Security Engineer is responsible for designing, implementing, managing, and securing the organizations network infrastructure. This role ensures high availability, performance, and security of enterprise networks while protecting critical systems from cyber threats. The
iLabs is a global software product engineering company headquartered in Sri Lanka, with deep roots in the US Silicon Valley. We deliver world-class solutions in Web, eCommerce, Mobile, AI/ML, and Cloud technologies, serving industries such as
Company Description Variosystems develops and manufactures electronic solutions for industries where reliability is critical - including Medtech & Life Science, Industrial & Automation, Aerospace & Defence and Smart Infrastructure & Environment. As a long-term strategic partner
Job Description Conduct VAPT and penetration testing across network, web, API and mobile environments Perform both automated and manual security testing to identify and validate vulnerabilities Analyse vulnerabilities, demonstrate their potential impact and provide practical remediation recommendations
iLabs is a global software product engineering company headquartered in Sri Lanka, with deep roots in the US Silicon Valley. We deliver world-class solutions in Web, eCommerce, Mobile, AI/ML, and Cloud technologies, serving industries such as
Company Overview Founded in 2014, and listed on the ASX since 2015, Superloop’s purpose is to enable better internet for Australian homes and businesses, by enabling challenger retail brands to take a larger share of the
Company Description Variosystems develops and manufactures electronic solutions for industries where reliability is critical - including Medtech & Life Science, Industrial & Automation, Aerospace & Defence and Smart Infrastructure & Environment. As a long-term strategic partner
Overview We are seeking a proactive and technically skilled AI & IT Infrastructure Engineer to join our IT team. This role will be responsible for managing the organizations AI tools, platforms, licenses, subscriptions, and AI-related technology initiatives
Key Responsibilities Design, develop, and optimize classical machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection) Build and deploy deep learning models using frameworks such as TensorFlow or PyTorch for structured, unstructured, and multimodal