Hiring MIDDLE/SENIOR DEVOPS ENGINEER
- Thỏa thuận
- 3 năm kinh nghiệm
Hạn nộp hồ sơ: 21/11/2026 (Còn 23 ngày)
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Trivita AI is hiring Middle/Senior DevOps Engineers with experience in production Kubernetes, Cloud, Terraform, GitOps, CI/CD, and AI infrastructure.
Trivita AI develops AI-powered products and platforms for businesses, including AI assistants, workflow automation agents, knowledge search, and speech recognition. Our systems combine Python backends with commercial and self-hosted LLMs running on GPUs, deployed across Kubernetes, cloud platforms, and on-premise infrastructure.
As a Middle/Senior DevOps Engineer, you will design, deploy, and operate Kubernetes platforms supporting Trivita AI's products across AWS, GCP, Azure, and private cloud environments. The role focuses on CPU/GPU infrastructure, Infrastructure as Code, GitOps, platform security, observability, and SLO-driven operations.
Job description
Infrastructure and Kubernetes management
- Design, provision, and operate Kubernetes clusters across AWS, GCP, Azure, private cloud, and bare-metal environments.
- Manage node lifecycles, Kubernetes upgrades, and high-availability operations.
- Build and manage reproducible infrastructure using Terraform/OpenTofu and Ansible.
- Implement GitOps workflows using ArgoCD, Helm, and Kustomize across DEV, UAT, and PROD environments, including Canary/Blue-green deployments and rollback.
- Develop and optimize CI/CD pipelines, container image builds, and private registries.
Monitoring, security, and optimization
- Implement monitoring, logging, tracing, and alerting using Prometheus, Grafana, OpenTelemetry, and related tools.
- Define SLIs, SLOs, error budgets, and actionable alerts for production services.
- Manage PostgreSQL, Redis, Elasticsearch/OpenSearch, storage systems, backups, and recovery testing.
- Configure Kubernetes networking, including CNI, ingress, Gateway API, TLS, DNS, and network policies.
- Implement security controls such as RBAC, IAM, Pod Security Standards, image scanning, image signing, and secrets management.
- Support technical evidence collection for ISO/IEC 27001 and SOC 2 audits.
- Optimize CPU/GPU resource allocation, autoscaling, and infrastructure costs.
- Operate GPU workloads using NVIDIA GPU Operator, supporting vLLM and speech recognition services.
Operations and continuous improvement
- Participate in on-call rotations, respond to production incidents, and maintain runbooks and postmortems.
- Automate repetitive operational tasks using Bash or Python.
- Apply AI coding assistants to scripting, infrastructure configuration, code reviews, and debugging while validating outputs before production deployment.
- Collaborate with engineering teams to improve reliability, scalability, security, and operational efficiency.
Requirements
Experience and technical skills
- Middle: 3+ years of DevOps/SRE experience.
- Senior: 5+ years of DevOps/SRE experience.
- At least 2 years of hands-on Kubernetes operations in production, including version upgrades and incident response.
- Deep understanding of Kubernetes internals, containers, networking, and Linux troubleshooting.
- Hands-on experience with AWS, GCP, or Azure, including VPC, IAM, and managed Kubernetes.
- Production experience with Terraform/OpenTofu, Helm, and ArgoCD or equivalent GitOps tools.
- Proficiency in Prometheus, Grafana, centralized logging, and SLI/SLO-based monitoring.
- Ability to develop automation scripts using Bash or Python.
- Proficiency in AI coding assistants for scripting, reviewing, and debugging, with proper output validation and compliance with data security policies.
- Ability to read technical documentation in English.
Level-specific expectations
Middle DevOps Engineer
- Operate and improve existing Kubernetes clusters, CI/CD pipelines, and monitoring systems.
- Handle incidents using established runbooks and operational procedures.
- Deliver infrastructure changes through reviewed IaC/GitOps workflows.
Senior DevOps Engineer
- Design multi-cloud platform architectures for scalability and reliability.
- Define SLOs, disaster recovery strategies, security controls, and cost optimization plans.
- Lead major incident response and establish standardized deployment workflows.
- Mentor engineers and provide technical leadership.
Technology stack
- Container & Orchestration: Kubernetes, EKS, GKE, AKS, RKE2, Docker.
- Infrastructure as Code: Terraform, OpenTofu, Ansible.
- GitOps & CI/CD: ArgoCD, Argo Rollouts, Helm, Kustomize, GitHub Actions, GitLab CI.
- Monitoring & Observability: Prometheus, Grafana, OpenTelemetry, VictoriaLogs, Fluent Bit.
- Security & Networking: Cilium, Traefik, cert-manager, Kyverno, Trivy, cosign, Vault.
- Database & Storage: PostgreSQL, Redis, Elasticsearch/OpenSearch, Longhorn.
- AI Infrastructure: NVIDIA GPU Operator, vLLM, KEDA, Karpenter.
First 6 months expectations
- Manage all assigned infrastructure through IaC/GitOps, eliminating manual changes.
- Establish SLOs, actionable alerts, and CPU/GPU cost dashboards for core services.
- Complete at least one documented disaster recovery drill and one zero-downtime Kubernetes upgrade.
Preferred qualifications
- Experience operating GPUs on Kubernetes and deploying vLLM, Ray, or KServe.
- Experience with OpenStack, private cloud, or bare-metal infrastructure.
- Knowledge of Cilium/eBPF, service mesh, or Gateway API.
- Experience with runtime security, SLSA, or Kubernetes cluster backups using Velero.
- Familiarity with Crossplane or Cluster API.
- CKA/CKS or AWS, GCP, or Azure certifications.
- Experience supporting ISO/IEC 27001 or SOC 2 audits for infrastructure handling sensitive data.
Contact information
- Address: No. 01, Street 104, Quarter 3, Binh Trung Ward, Ho Chi Minh City
- Phone: [protected info]
Thông tin chung
- Thu nhập: Thỏa thuận
Việc làm tương tự khác
Công Ty TNHH Công Nghệ Và Giải Pháp Phần Mềm Crossian Việt Nam
Hà Nội, Hồ Chí Minh
You'll love it
CÔNG TY CỔ PHẦN TẬP ĐOÀN THIÊN KHÔI
Hà Nội
20 - 30 triệu VNĐ
Công ty Cổ Phần Trivita AI
Xem trang công ty- Địa chỉ công ty: Số 01 đường 104 - BTT, Phường Bình Trưng Tây, Ho Chi Minh
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