Application Engineer

Responsibilities

• This is a full-time position based in the Woodlands North Region, offering the opportunity to work for a dynamic and forward-thinking technology company at the forefront of the security industry.
• Deployment Execution: Install, configure, and optimize our applications within customer cloud, on-premise, or hybrid environments based on technical blueprints provided by the Solutions Engineer.
• Hands-on Integration: Build "glue code", configure APIs, and write custom scripts to connect our application with the customer's existing data lakes, enterprise software, and legacy systems.
• Testing & Quality Assurance: Execute User Acceptance Testing (UAT) scripts, perform data validation, and assist with performance benchmarking prior to pushing environments live.
• Technical Onboarding: Assist in running technical walkthroughs, demonstrations, and training sessions to help onboard the customer's operational and engineering teams.
• Issue Troubleshooting: Act as a key technical resource for diagnosing and resolving complex, real-time application and environment issues during the implementation and hyper-care launch phases.
• Documentation & Feedback: Maintain accurate technical deployment documentation and flag real-world environment friction or edge cases to the Solutions Engineer to improve the delivery playbook.

Requirements

• Diploma or Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field.
• 1-3 years of hands-on experience in technical deployment, application support, or software integration.
• Good working knowledge of web services, REST/SOAP APIs, and core communication protocols (e.g., HTTP, MQTT, WebSockets).
• Solid proficiency in at least one scripting language (e.g., Python, Bash, JavaScript, or PowerShell) and strong SQL skills for data verification and mapping.
• Basic experience or exposure to cloud infrastructure (AWS, Azure, or GCP), containerization (Docker), and networking concepts (firewalls, DNS, load balancers).
• Strong team player with clear verbal and written communication skills, comfortable interacting directly with a client's technical staff.
• A methodical approach to debugging and isolating application errors in live or staging environments under tight project timelines.
• Familiarity with integrating or deploying AI/ML models, working with Large Language Model (LLM) APIs, or practical experience utilizing AI tools to optimize deployment workflows is a strong plus.

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Company Intel

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