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| 회사명 | 커넥트(Konnect) |
|---|---|
| 포지션 | Looking for Talented DevOps Engineer |
| 근무지 | 경기 성남시 분당구 대왕판교로645번길 12, 5층 s10 |
| 고용형태 | 정규직 |
| 경력 | 5년 이상 |
| 지원 마감 | 2026-08-14 |
We are a international innovative Korean travel-based search engine startup revolutionizing how users discover, plan, and book travel experiences across South Korea and beyond. Our platform powers personalized itineraries, real-time recommendations, and seamless mobile experiences for global travelers.
(https://konnect.kr/about) (https://koreatechdesk.com/k-startup-grand-challenge-ksgc-comeup-2025-winner-indias-konnect)
We are seeking a Senior DevOps Engineer with deep expertise in AWS and GCP to architect, secure, and scale our multi-cloud infrastructure. You will be the bridge between development and production, ensuring our systems are "always-on," automated, and cost-efficient.
This is a full-time onsite (with WFH options) role based in Pangyo, South Korea, with opportunities to shape the future of travel tech. Please note that our communication language shall be English. Please note that we will offer competitive salary based on experience.
Technical Stack & Responsibilities
1. Multi-Cloud Infrastructure (IaC)
Architect and manage high-availability environments across AWS (EC2, S3, RDS, Lambda) and GCP (GCE, Cloud Run, BigQuery).
Standardize all infrastructure provisioning using Terraform or Pulumi to ensure parity between cloud providers.
2. Containerization & Orchestration
Deploy and manage production-grade Kubernetes clusters using Amazon EKS and Google Kubernetes Engine (GKE).
Optimize container images with Docker and manage registries via AWS ECR and GCP Artifact Registry.
3. CI/CD & Automation
Build and maintain seamless deployment pipelines using GitHub Actions, GitLab CI, or GCP Cloud Build.
Automate routine tasks using Python, Go, or Bash to reduce manual "toil."
4. Monitoring & Observability
Implement full-stack visibility using AWS CloudWatch, GCP Cloud Monitoring, and the ELK Stack (Elasticsearch, Logstash, Kibana).
Configure proactive alerting systems to minimize Mean Time to Resolution (MTTR).
5. FinOps & Cost Optimization
Monitor cloud spend using AWS Cost Explorer and GCP Billing Reports.
Implement automated scaling policies and "right-sizing" initiatives to reduce monthly cloud overhead.
Experience: Proven track record of managing production workloads in both AWS and GCP.
Networking: Deep knowledge of VPC Peering, Cloud VPN, and Direct Connect/Interconnect.
Security: Solid grasp of IAM roles, KMS, and secret management (e.g., HashiCorp Vault).
Soft Skills: A "security-first" mindset and the ability to explain complex infra concepts to non-technical stakeholders.
Preferred Certifications
AWS: Certified DevOps Engineer – Professional
GCP: Professional Cloud DevOps Engineer
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Document Screening > First Interview > Second Interview > Additional Round if Needed > Job Offer
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