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Senior AI DevSecOps Engineer

Ho Chi Minh

IT

Full-time

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Senior AI DevSecOps Engineer

Location: Vietnam

Reporting & Collaboration
You will work closely with our international engineering team, CTO, and leadership team across Singapore, Vietnam, Portugal, and other global locations.

Out client

The client is building an innovative open insurance platform that is transforming the way insurance products are distributed globally.

Our digital marketplace connects insurers, distribution partners, and service providers into a unified ecosystem that enables seamless insurance distribution and embedded protection experiences.

Our cloud-native orchestration platform empowers partners to accelerate their digital transformation through white-label customer journeys and API-driven integrations across Property & Casualty (P&C) and Life Insurance products.

The Opportunity

We are looking for a Senior AI DevSecOps Engineer to strengthen our engineering team in Vietnam.

In this role, you will build, secure, and operate modern cloud infrastructure while driving automation across the software development lifecycle. You will leverage AI-powered technologies to improve platform operations, security, engineering productivity, and delivery efficiency.

As an early contributor, you will have the opportunity to influence architecture, define engineering standards, and build scalable cloud platforms that support our international growth. Your contributions will directly shape the future of our insurance technology platform.

What You'll Do

CI/CD & Platform Engineering

  • Design, implement, and continuously optimize secure, scalable CI/CD pipelines.

  • Automate software delivery processes across development, testing, and production environments.

  • Improve deployment speed, reliability, and engineering efficiency.

Cloud Infrastructure & Security

  • Build and maintain secure multi-cloud infrastructure using AWS, Azure, Kubernetes, Docker, and related cloud technologies.

  • Ensure infrastructure follows security best practices while remaining scalable and highly available.

Policy as Code

  • Implement security and compliance policies using tools such as Open Policy Agent (OPA) or Kyverno.

  • Automate governance across Kubernetes environments through policy enforcement and auditing.

AI-Driven Platform Automation

  • Introduce AI-enabled solutions to streamline infrastructure management, optimize deployment pipelines, automate operational tasks, strengthen security monitoring, and improve root cause investigation.

Monitoring & Observability

  • Develop and maintain a robust observability ecosystem using technologies such as New Relic, Prometheus, Grafana, ELK/EFK, or Azure Monitor.

  • Configure dashboards, alerts, logging, and operational runbooks for business-critical systems.

Secrets Management

  • Establish secure credential management practices using Azure Key Vault, AWS Secrets Manager, 1Password, or similar solutions.

  • Eliminate hardcoded credentials and enforce secure secret rotation across environments.

Incident Management

  • Lead incident response initiatives by creating operational runbooks, facilitating post-incident reviews, reducing MTTR, and participating in on-call support to maintain service reliability.

Security Engineering

  • Perform threat modeling exercises with development teams.

  • Coordinate or conduct penetration testing to identify security weaknesses before production deployment.

  • Review application code and leverage static and dynamic security testing tools to detect and resolve vulnerabilities.

Compliance & Governance

  • Ensure engineering practices comply with industry standards and regulatory requirements, including GDPR, PCI-DSS, ISO standards, and other applicable frameworks.

Cross-functional Collaboration

  • Work closely with software engineers, infrastructure teams, and security specialists to promote automation, DevSecOps culture, and security-by-design principles.

Coaching & Knowledge Sharing

  • Guide junior engineers by sharing DevSecOps expertise and promoting secure engineering practices across the organization.

Documentation

  • Produce and maintain comprehensive documentation covering security controls, operational procedures, architectural decisions, and incident reports.

Continuous Innovation

  • Stay informed on emerging cloud, DevSecOps, cybersecurity, and AI technologies, identifying opportunities to enhance engineering processes and platform capabilities.

Requirements

Education

  • Bachelor's degree in Computer Science, Information Technology, or a related discipline.

Experience

  • Minimum 5 years of hands-on experience in DevOps or DevSecOps, with significant exposure to cloud security and platform engineering.

Technical Skills

  • Strong experience with cloud platforms such as AWS and Azure, including their native security capabilities.

  • Solid understanding of CI/CD technologies including Azure Pipelines, GitLab CI, and ArgoCD.

  • Hands-on experience with Infrastructure as Code using Terraform, Terragrunt, and Helm, along with GitOps methodologies.

  • Advanced knowledge of container technologies including Docker and Kubernetes.

  • Familiarity with application security tools such as SonarQube, OWASP ZAP, and Trivy.

  • Strong scripting capabilities using Python, Bash, or PowerShell.

  • Good understanding of network security concepts including firewalls, VPNs, IDS, and IPS.

  • Working knowledge of relational and NoSQL databases including PostgreSQL, MongoDB, and similar technologies.

  • Understanding of AI and machine learning concepts, particularly their application in security automation, threat detection, and day-to-day engineering workflows.

  • Practical experience using AI tools to improve engineering productivity is highly desirable.

Soft Skills

  • Demonstrates a security-first mindset while balancing engineering velocity and business objectives.

  • Communicates complex technical and security concepts clearly to both technical and non-technical audiences.

  • Takes initiative and approaches challenges with a practical, solution-oriented attitude.

  • Enjoys innovation and thrives in startup or fast-growing environments.

  • Works effectively both independently and as part of cross-functional teams.

  • Comfortable operating in a dynamic, fast-paced environment with changing priorities.

  • Strong analytical thinking and sound decision-making skills.

Benefits

  • Competitive compensation package

  • Premium healthcare coverage for yourself and two family members

  • Monthly allowances for meals, transportation, and mobile phone

  • Attractive year-end performance bonus

  • Work alongside an experienced international business and engineering team

  • Collaborative, energetic, and multicultural workplace

  • Regional travel opportunities across Southeast Asia

  • Modern office located in District 1, Ho Chi Minh City

  • Flexible working hours

  • Exposure to the latest cloud, AI, and microservices technologies

  • Additional benefits as the company continues to grow

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