Cloud-Native Platform & Reliability Engineer

V2 Solutions; Hinoba-an; On-site; PHP 1,004,000 - 1,451,000; Full time

Job summary

V2 Solutions is seeking a Platform & Cloud Engineer to design and operate cloud-native platforms, building reusable infrastructure and owning Kubernetes clusters. The role emphasizes reliability, automation, and scalable design within a DevOps, SRE-oriented culture.

You will drive SLI/SLO definitions, participate in on-call rotations, and collaborate with software engineers to embed reliability early in the lifecycle, leveraging GitOps practices and modern observability tooling.

Qualifications

• Strong Linux, networking, and distributed systems fundamentals.
• Proficiency in Python or Go for automation and tooling.
• Hands-on experience operating Kubernetes in production with Helm and scale workloads.

Responsibilities

• Design and operate cloud-native platforms to improve developer productivity.
• Build reusable infrastructure using IaC and maintain Kubernetes clusters, networking, and workloads.
• Lead incident response, write blameless RCAs, and automate to reduce toil.

Skills

Linux fundamentals

Networking (DNS, TCP/IP)

Distributed systems

Python

Go

Git practices

Kubernetes in production

Helm

Infrastructure-as-Code

Terraform

Chef / Ansible

ArgoCD

GitHub Actions / Jenkins / GitLab CI

Datadog / New Relic / OpenTelemetry

PostgreSQL / MySQL / MongoDB

Kafka / Elasticsearch / Redis

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

GCP

Azure

Terraform

Kubernetes

ArgoCD

Prometheus / Grafana

PagerDuty

Datadog / New Relic

Job description

V2 Solutions is seeking a Platform & Cloud Engineer to design and operate cloud-native platforms, building reusable infrastructure and owning Kubernetes clusters. The role emphasizes reliability, automation, and scalable design within a DevOps, SRE-oriented culture.

You will drive SLI/SLO definitions, participate in on-call rotations, and collaborate with software engineers to embed reliability early in the lifecycle, leveraging GitOps practices and modern observability tooling.