This is a remote position.
Location: Remote - Vietnamese only
Employment Type: Full-time (Singapore time)
About the Opportunity
On behalf of our international client we are hiring a Principle DevOps Engineer to support their outsourcing team building AI-integrated products in FinTech. Our client is a modern product-oriented company building AI-first solutions for automation and workflow enhancement.
Joining the team as a Principal DevOps Engineer you will work closely with Product Engineering and AI teams to shape our infrastructure strategy design resilient cloud architectures and ensure our platforms are secure scalable and high-performing. You will play a key role in bringing AI systems into production enabling reliable delivery strong observability and operational excellence across our products and internal systems
Key Responsibilities
- Design and operate secure scalable and high-quality infrastructure that supports modern applications and advanced AI workloads.
- Build and maintain robust automation across CI/CD pipelines infrastructure provisioning and operational processes to improve reliability and minimize manual effort.
- Integrate AI-driven solutions into operational workflows to enhance efficiency detect anomalies and accelerate delivery.
- Apply strong systems engineering practices including monitoring incident management performance optimization and capacity planning.
- Establish and uphold DevOps best practices ensuring reproducibility testing documentation and operational excellence.
- Communicate technical decisions clearly and collaborate cross-functionally to support predictable delivery and effective problem-solving.
- Provide mentorship and technical leadership raising the level of platform engineering DevOps maturity and overall engineering quality across the organization.
Requirements
Technical skills:
- 8 years of progressive experience in DevOps SRE Platform Engineering or Infrastructure Engineering.
- Hands-on experience across multi-cloud environments (AWS GCP Azure) with strong knowledge of networking compute storage security and cost optimization.
- Deep expertise in containerization and orchestration (e.g. Kubernetes EKS ECS) and Infrastructure as Code (e.g. Terraform Pulumi CloudFormation).
- Experience supporting or deploying AI/ML workloads (e.g. model inference vector databases GPU workloads).
- Proven ability to design and operate highly available production systems using zero-downtime deployment strategies.
- Experience with GitOps practices (e.g. ArgoCD Flux) and building self-service developer platforms.
- Experience managing multi-cloud API gateways and edge routing solutions (e.g. Kong Traefik Cloudflare).
- Strong background in platform security including IAM secrets management and runtime hardening with tools like Falco/eBPF.
- Practical experience with modern observability stacks (e.g. Prometheus OpenTelemetry OpenSearch ELK).
- Familiarity with modern programming languages such as NodeJS NestJS and Python is a strong plus.
Soft skills:
- Excellent communication skills with the ability to explain complex infrastructure concepts clearly.
- Strong mentorship and technical leadership capabilities to improve engineering practices.
- Collaborative mindset for working cross-functionally with Product Engineering and AI teams.
- Strategic thinking for shaping infrastructure and architecture strategy.
Benefits
- Competitive salary
- 12 days annual leave (increase with seniority)
- Year-end performance bonus
- All insurance covered as Vietnamese law
- Additional private health insurance for enhanced medical coverage
- Remote work flexibility
- Opportunity to work on complex system and international environment
- Opportunity to work on cutting-edge AI-first solutions with professional growth in a leadership-focused role.
How to Apply
Send your updated resume to
For more details contact:
Ngan Mai
Email:
Phone/Zalo/WhatsApp:
This is a remote position.Location: Remote - Vietnamese onlyEmployment Type: Full-time (Singapore time)About the OpportunityOn behalf of our international client we are hiring a Principle DevOps Engineer to support their outsourcing team building AI-integrated products in FinTech. Our client is a...
This is a remote position.
Location: Remote - Vietnamese only
Employment Type: Full-time (Singapore time)
About the Opportunity
On behalf of our international client we are hiring a Principle DevOps Engineer to support their outsourcing team building AI-integrated products in FinTech. Our client is a modern product-oriented company building AI-first solutions for automation and workflow enhancement.
Joining the team as a Principal DevOps Engineer you will work closely with Product Engineering and AI teams to shape our infrastructure strategy design resilient cloud architectures and ensure our platforms are secure scalable and high-performing. You will play a key role in bringing AI systems into production enabling reliable delivery strong observability and operational excellence across our products and internal systems
Key Responsibilities
- Design and operate secure scalable and high-quality infrastructure that supports modern applications and advanced AI workloads.
- Build and maintain robust automation across CI/CD pipelines infrastructure provisioning and operational processes to improve reliability and minimize manual effort.
- Integrate AI-driven solutions into operational workflows to enhance efficiency detect anomalies and accelerate delivery.
- Apply strong systems engineering practices including monitoring incident management performance optimization and capacity planning.
- Establish and uphold DevOps best practices ensuring reproducibility testing documentation and operational excellence.
- Communicate technical decisions clearly and collaborate cross-functionally to support predictable delivery and effective problem-solving.
- Provide mentorship and technical leadership raising the level of platform engineering DevOps maturity and overall engineering quality across the organization.
Requirements
Technical skills:
- 8 years of progressive experience in DevOps SRE Platform Engineering or Infrastructure Engineering.
- Hands-on experience across multi-cloud environments (AWS GCP Azure) with strong knowledge of networking compute storage security and cost optimization.
- Deep expertise in containerization and orchestration (e.g. Kubernetes EKS ECS) and Infrastructure as Code (e.g. Terraform Pulumi CloudFormation).
- Experience supporting or deploying AI/ML workloads (e.g. model inference vector databases GPU workloads).
- Proven ability to design and operate highly available production systems using zero-downtime deployment strategies.
- Experience with GitOps practices (e.g. ArgoCD Flux) and building self-service developer platforms.
- Experience managing multi-cloud API gateways and edge routing solutions (e.g. Kong Traefik Cloudflare).
- Strong background in platform security including IAM secrets management and runtime hardening with tools like Falco/eBPF.
- Practical experience with modern observability stacks (e.g. Prometheus OpenTelemetry OpenSearch ELK).
- Familiarity with modern programming languages such as NodeJS NestJS and Python is a strong plus.
Soft skills:
- Excellent communication skills with the ability to explain complex infrastructure concepts clearly.
- Strong mentorship and technical leadership capabilities to improve engineering practices.
- Collaborative mindset for working cross-functionally with Product Engineering and AI teams.
- Strategic thinking for shaping infrastructure and architecture strategy.
Benefits
- Competitive salary
- 12 days annual leave (increase with seniority)
- Year-end performance bonus
- All insurance covered as Vietnamese law
- Additional private health insurance for enhanced medical coverage
- Remote work flexibility
- Opportunity to work on complex system and international environment
- Opportunity to work on cutting-edge AI-first solutions with professional growth in a leadership-focused role.
How to Apply
Send your updated resume to
For more details contact:
Ngan Mai
Email:
Phone/Zalo/WhatsApp:
View more
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