Pavago
DevOps Engineer
Vaga remota de DevOps Engineering com fit claro de localização do candidato.
Publicada14 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeMiddle
Modelo de trabalhoRemoto
Locais aceitos para candidatos
África do Sul
Resumo da vaga
DevOps Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Cloud Infrastructure
- Design, deploy, and manage cloud infrastructure across:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
- Build scalable, secure, and highly available cloud environments.
- Optimize cloud architecture for performance, reliability, and cost efficiency.
- Support production infrastructure and disaster recovery planning.
Details
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
- Terraform
- AWS CloudFormation
- Pulumi
- GitHub Actions
- Jenkins
- GitLab CI/CD
- Docker
- Kubernetes
- Prometheus
- Grafana
- Elasticsearch
- AWS, Azure, or GCP
- Docker
- Kubernetes
- CI/CD pipelines
- Python
- Bash
- PowerShell
- Senior DevOps Engineer
- Platform Engineer
- Cloud Architect
- Site Reliability Engineer (SRE)
Infrastructure as Code (IaC)
- Build and maintain infrastructure using:
- Terraform
- AWS CloudFormation
- Pulumi
- Manage infrastructure through version-controlled deployments.
- Standardize infrastructure provisioning and configuration.
- Continuously improve automation and infrastructure consistency.
CI/CD & Automation
- Design, build, and optimize CI/CD pipelines using:
- GitHub Actions
- Jenkins
- GitLab CI/CD
- Automate application deployments, testing, and release workflows.
- Improve deployment speed while maintaining reliability.
- Reduce manual operational tasks through automation.
Containers & Kubernetes
- Deploy and manage containerized applications using:
- Docker
- Kubernetes
- Maintain scalable and resilient Kubernetes clusters.
- Optimize container orchestration and workload performance.
- Support application scalability across multiple environments.
Monitoring & Reliability
- Implement monitoring and observability using:
- Prometheus
- Grafana
- Elasticsearch
- Monitor infrastructure health and application performance.
- Investigate incidents and resolve production issues quickly.
- Improve system uptime, alerting, and operational visibility.
Experience
- 3+ years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or Infrastructure Engineering.
Core Skills
- Hands-on experience with:
- AWS, Azure, or GCP
- Docker
- Kubernetes
- CI/CD pipelines
- Experience with Infrastructure-as-Code tools such as Terraform, CloudFormation, or Pulumi.
- Strong scripting skills using:
- Python
- Bash
- PowerShell
- Strong troubleshooting and automation mindset.
- Excellent written and verbal English communication skills.
Nice to haves
- Experience working in Terraform-heavy environments.
- Multi-cloud infrastructure experience.
- Experience supporting high-traffic or high-availability applications.
- Familiarity with microservices architectures.
- Cloud cost optimization experience.
- Experience with monitoring, observability, and platform engineering.
Tools & Technologies
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
- Kubernetes
- Docker
- Terraform
- AWS CloudFormation
- Pulumi
- GitHub Actions
- Jenkins
- GitLab CI/CD
- Prometheus
- Grafana
- Elasticsearch
- Python
- Bash
- PowerShell
What Makes You a Strong Fit
- Passionate about automation and cloud-native technologies.
- Strong problem-solving and troubleshooting abilities.
- Comfortable working in production environments.
- Proactive and ownership-driven.
- Collaborative team player who works well with software engineers.
- Continuously looks for opportunities to improve reliability and efficiency.
What a Typical Day Looks Like
- Monitor cloud infrastructure and resolve operational issues.
- Build and improve CI/CD pipelines.
- Deploy and manage Kubernetes workloads.
- Optimize infrastructure performance and scalability.
- Automate repetitive operational tasks.
- Collaborate with development teams on deployment strategies.
- Improve monitoring, alerting, and system reliability.
Key Metrics for Success (KPIs)
- High infrastructure uptime and reliability.
- Faster and more reliable deployment pipelines.
- Reduced manual operational workload through automation.
- Scalable and secure cloud infrastructure.
- Improved deployment frequency and recovery times.
- Strong monitoring coverage and rapid incident resolution.
Why This Role Stands Out
- Fully remote opportunity.
- Work with modern cloud-native technologies.
- High ownership and technical impact.
- Opportunity to solve large-scale infrastructure challenges.
- Continuous exposure to automation and platform engineering.
- Clear career progression into:
- Senior DevOps Engineer
- Platform Engineer
- Cloud Architect
- Site Reliability Engineer (SRE)
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