---
title: 'Senior Cloud Security & Reliability Engineer, Virtual Insurance at AIFT'
canonical: 'https://feeny.ai/job/senior-cloud-security-reliability-engineer-virtual-insurance-aift-taipei-nes9rv43wx40'
type: 'job'
last_seen: '2026-11-09'
---

# Senior Cloud Security & Reliability Engineer, Virtual Insurance at AIFT

- **Company:** AIFT
- **Location:** Taipei, Taiwan
- **Posted:** 2026-10-12
- **Last confirmed live:** 2026-11-09
- **Apply:** https://job-boards.greenhouse.io/aift/jobs/6222311004

## Job description

Job Overview

We are seeking a Senior / Site Reliability Engineer (Security) to strengthen the security, reliability and operational efficiency of our cloud infrastructure and Kubernetes environments.

The role combines site reliability engineering knowledge, cloud security and automation with a focus on maintaining security monitoring platforms, integrating cloud telemetry into SIEM, assessing security posture and implementing scalable security controls.

Job Description

- SIEM integration: Integrate cloud and Kubernetes audit, identity, network and workload telemetry into SIEM platforms. Manage log collection, parsing, normalization, retention and ingestion costs.
- Security Service Reliability: Maintain security tools, collectors and telemetry pipelines. Define service-level objectives, monitor availability and ingestion latency and implement operational automation.
- Cloud Asset Discovery: Automate cloud resource discovery across accounts, projects, subscriptions and regions. Maintain asset ownership, service dependencies and security assessment coverage.
- Cloud Security Posture Management: Assess IAM permissions, network exposure, storage security, encryption, secrets management and logging configurations. Identify and prioritize security risks.
- Kubernetes Security: Assess and harden Kubernetes clusters and workloads, including RBAC, workload identities, network policies, admission controls, container security and vulnerability remediation.
- Security Automation: Develop scripts, infrastructure-as-code configurations and CI/CD integrations to enforce security baselines, detect configuration drift and automate preventive controls.
- Detection and Incident Support: Support cloud security detection engineering, incident investigation, root-cause analysis and remediation validation. Maintain dashboards, technical documentation and operational runbooks.

Job Requirement

- At least 5 years of relevant experience in SRE, DevOps, cloud/platform engineering or security engineering, including at least 3 years implementing and troubleshooting security controls in production cloud environments.
- Strong hands-on experience with at least one major cloud platform (GCP, AWS or Azure) and working knowledge of a second platform.
- Practical experience in cloud security assessments, IAM, network security, cloud-native security services and cloud security posture management (CSPM).
- Experience operating and securing production Kubernetes environments such as GKE, EKS or AKS, including RBAC, workload identities, admission controls, network policies and container security.
- Hands-on experience integrating cloud telemetry with SIEM platforms, including log collection, event processing, troubleshooting and investigation queries.
- Proficiency in Python or equivalent programming languages, cloud APIs/SDKs, Terraform or similar infrastructure-as-code tools, Git and CI/CD pipelines.
- Strong Linux and networking troubleshooting skills, including DNS, TLS and connectivity, together with experience in monitoring, alerting and incident response.
- Understanding of SRE principles, including service-level indicators, service-level objectives and safe production changes.
- Strong troubleshooting, problem-solving, technical documentation and cross-team communication skills, with the ability to independently investigate issues and coordinate remediation.
- A relevant degree or equivalent practical experience is welcome.

## About AIFT

## Company Overview
- **One-liner**: AIFT (Laboratory for AI-Powered Financial Technologies) is a Hong Kong-based research laboratory and innovation hub that develops AI and data science solutions to transform global financial services.
- **Entity Type**: Private (research lab with spin-off commercialization arm)
- **Headquarters**: Hong Kong Science Park, Shatin, Hong Kong
- **Founded**: Not publicly available
- **Founders**: Co-founded by City University of Hong Kong and Columbia University. Key leadership includes Prof. Houmin Yan (Director), Shi Lei (Deputy Head of Commercialization), and Antony Zhu (Head of Product & Development).

## Core Business
- **Primary industry**: Financial technology (FinTech), AI research & development, blockchain/tokenisation
- **Target customers**: B2B – banks, financial institutions, SMEs, and enterprise clients in the finance sector
- **Mission / purpose**: "Conducting pioneering research, attracting the brightest talents, realizing visionary concepts, and providing the best business solutions for future financial services." [hkaift.com](https://hkaift.com/careers/)

## Products & Services
- **AI-Driven Financial Service**: Research and solution development for AI-powered risk management, investment intelligence, and customer analytics.
- **AI-Enhanced Financial Technology**: Advanced analytics and machine learning models for credit scoring, fraud detection, and regulatory compliance.
- **Social Media Analytics for Financial Technology**: Platforms that mine social media and news data for market sentiment and investment signals.
- **FinSights (Supply Chain Finance)**: A solution showcased at InnoEX 2026 that leverages trusted logistics data to optimize trade finance. [hkaift.com](https://hkaift.com/)
- **Tokenised Deposit Platform**: A joint initiative with JETCO to enable commercial banks to issue and manage tokenised deposits. [hkaift.com](https://hkaift.com/)
- **Tolo Digitech (Spin-off)**: Partnered with fintech firm FUNDel to build a trade finance platform integrating Port Community System data. [hkaift.com](https://hkaift.com/)
- **Portfolio Management System for E-Commerce Loan Securitisation**: A system referenced in AIFT’s portfolio (see About page). [hkaift.com](https://hkaift.com/about-us/)

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Headcount of ~26 employees (as of 2025-2026), with a -17.4% yearly change reported on LinkedIn. [linkedin.com](https://hk.linkedin.com/company/laboratory-for-ai-powered-financial-technologies-limited)
- **Notable Investors / Partners**: JETCO (joint tokenisation platform), FUNDel (trade finance spin-off), Hong Kong Science and Technology Parks (HKSTP), City University of Hong Kong, Columbia University.
- **Growth Signals**: Spin-off company Tolo Digitech launched in 2026; participation in InnoEX 2026; active patent filings (e.g., entity association recommendation, cryptocurrency asset classification). However, headcount declined year-over-year, so growth trajectory appears mixed.

## Competitive Advantages
- **Academic pedigree**: Founded jointly by City University of Hong Kong and Columbia University, giving it deep research capabilities and access to top talent.
- **Ecosystem position**: Located in Hong Kong Science Park, a major R&D hub, and holds strong ties with local banks, regulators, and fintech players.
- **Full-stack FinTech approach**: Combines AI, blockchain, and data science to address both research and commercial deployment (spin-offs, partnerships).
- **Proven commercialization**: Multiple patents granted via Google Patents and live solutions (tokenised deposits, trade finance platform).

## Strategic Focus
- Commercializing research outcomes into market-ready FinTech products.
- Expanding tokenised deposit and digital asset infrastructure for banks.
- Scaling supply chain finance and trade finance solutions via data partnerships (e.g., Port Community System).
- Building a pipeline of spin-off companies to take innovations to market.
- Attracting talent for both research and product development roles (openings listed on [Greenhouse careers page](https://job-boards.greenhouse.io/aift) and internally).

## Why Work Here
- **Mission-driven**: Work at the intersection of AI and finance to solve real-world problems in banking, risk, and trade.
- **Young and growing**: Described as a "young company" with opportunities to get in "on the ground floor" and grow as projects gain momentum. [hkaift.com](https://hkaift.com/careers/)
- **International connections**: Collaborations with top universities and global financial institutions provide a broader perspective.
- **Practical skill development**: Talent training is part of the mission – developers and analysts can build expertise in FinTech ecosystems (Python, Spring Boot, Docker, blockchain, etc.). [hkaift.com](https://hkaift.com/careers/)
- **Vibrant community**: Active member of Hong Kong Science Park, Hong Kong’s largest R&D base, with access to a network of tech companies and events.
- **Work environment**: Office-based in Hong Kong Science Park (Shatin); roles include Software Engineer, Assistant Quantitative Analyst, Data Analyst, and Research Assistant. [hkaift.com](https://hkaift.com/careers/)
- **Culture**: Emphasizes open innovation, cross-boundary collaboration (universities, VCs, financial institutions), and a flat, research-driven atmosphere.

## Sources
1. [hkaift.com (Home Page)](https://hkaift.com/)
2. [hkaift.com (Careers Page)](https://hkaift.com/careers/)
3. [hkaift.com (About Us Page)](https://hkaift.com/about-us/)
4. [LinkedIn Company Profile](https://hk.linkedin.com/company/laboratory-for-ai-powered-financial-technologies-limited)
5. [HKSTP Directory Page](https://www.hkstp.org/en/directory/innohk/laboratory-for-ai-powered-financial-technologies-limited)
6. [Greenhouse Careers Page](https://job-boards.greenhouse.io/aift)

## Other roles at AIFT

- [Senior Finance Analyst](https://feeny.ai/job/senior-finance-analyst-aift-taipei-8rq3zrd6v3fq) — Taipei, Taiwan
- [(Junior / Mid) AI Security Analyst, Vulcan](https://feeny.ai/job/junior-mid-ai-security-analyst-vulcan-aift-taipei-tkj8een519cw) — Taipei, Taiwan / Singapore / Malaysia / United Arab Emirates
- [AI Engineer, Virtual Insurance](https://feeny.ai/job/ai-engineer-virtual-insurance-aift-taiwan-5vnrpwjj5twy) — Taiwan
- [Senior Site Reliability Engineer, Vulcan (AI Security product)](https://feeny.ai/job/senior-site-reliability-engineer-vulcan-ai-security-product-aift-united-arab-b0de7d65vn5x) — United Arab Emirates
- [Chief Technology Officer/ Head of Engineering, Virtual insurance](https://feeny.ai/job/chief-technology-officer-head-of-engineering-virtual-insurance-aift-taipei-hrtn3gfdb8js) — Taipei, Taiwan
- [AI Data Curation Part Time, Vulcan](https://feeny.ai/job/ai-data-curation-part-time-vulcan-aift-taipei-msjqhxnat35h) — Taipei, Taiwan
- [Machine Learning Engineer Lead, Vulcan (Global)](https://feeny.ai/job/machine-learning-engineer-lead-vulcan-global-aift-taipei-40dxp5392ey1) — Taipei, Taiwan / Hong Kong / Singapore / Japan / Abu Dhabi, United Arab Emirates
- [AI Data Curation Intern, Vulcan](https://feeny.ai/job/ai-data-curation-intern-vulcan-aift-taipei-sybdtp091zvn) — Taipei, Taiwan
- [Senior Data Engineer, Virtual Insurance](https://feeny.ai/job/senior-data-engineer-virtual-insurance-aift-taiwan-9pk8mdxwbrcd) — Taiwan
- [Merchandising Manager, Partnership(Virtual Insurance)](https://feeny.ai/job/merchandising-manager-partnership-virtual-insurance-aift-taiwan-nvtsfgnz4814) — Taiwan