Lucidya
Site Reliability Engineer
Vaga remota de Site Reliability Engineer com fit claro de localização do candidato.
Publicada20 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Arábia Saudita
Resumo da vaga
Site Reliability Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
You’ll make reliability the default
- You’ll design and maintain infrastructure that is highly available, fault-tolerant, and scalable
- You’ll proactively identify and eliminate single points of failure before they become incidents
You’ll make reliability the default
- You’ll ensure our production systems remain stable, even under increasing scale and load
You’ll own and optimize our cloud environments
- You’ll manage and continuously improve workloads across AWS, GCP, or Azure
- You’ll use Infrastructure as Code (Terraform) to standardize and scale infrastructure
- You’ll optimize resource usage to balance performance and cost
You’ll run and improve Kubernetes in production
- You’ll operate and scale Kubernetes clusters (EKS, GKE, etc.) with confidence
- You’ll troubleshoot issues quickly and ensure smooth deployments and upgrades
- You’ll ensure our containerized workloads perform reliably at scale
You’ll run and improve Kubernetes in production
- You’ll implement and refine monitoring systems using tools like Prometheus, Grafana, Datadog, or ELK
- You’ll define alerting that is meaningful, not noisy
- You’ll respond to incidents, lead root cause analysis, and ensure we learn from every failure
You’ll run and improve Kubernetes in production
- You’ll write scripts and build tooling to eliminate repetitive operational work
- You’ll continuously improve infrastructure efficiency through automation
- You’ll promote a culture where manual work is a temporary state, not the norm
You’ll collaborate to improve the entire system
- You’ll work closely with DevOps and engineering teams to solve performance bottlenecks
- You’ll contribute to CI/CD improvements and deployment reliability
- You’ll help shape reliability best practices across the organization
First 30 days:
- You’ve built a strong understanding of our infrastructure, systems, and workflows
- You’re contributing to day-to-day operations with support from the team
- You’ve started identifying areas for improvement in automation and reliability
By 90 days:
- You’re independently managing infrastructure tasks and troubleshooting issues
- You’re actively contributing to reliability and scalability improvements
- You’ve taken ownership of parts of our infrastructure and are improving them
Who You Are
- You’ve spent ~3 years working in SRE, DevOps, or infrastructure engineering, and you’ve seen what breaks at scale
- You’re comfortable working in cloud environments like AWS, GCP, or Azure—and you understand how distributed systems behave
- You’ve worked hands-on with Kubernetes in production and know how to troubleshoot it when things go wrong
- You don’t just fix issues - you ask why they happened and make sure they don’t happen again
Technically, you likely:
- Use Terraform (or similar IaC tools) to manage infrastructure
- Work confidently with Docker and Kubernetes
- Write scripts in Python, Bash, or similar to automate workflows
- Understand CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket, etc.)
- Have a solid grasp of networking, load balancing, and high-availability design
When it comes to monitoring:
- You’ve implemented tools like Prometheus, Grafana, Datadog, or ELK
- You know the difference between useful alerts and noise
- You focus on signals that actually drive action
What sets you apart:
- You take ownership - you don’t wait to be told something is broken
- You’re calm under pressure and methodical during incidents
- You simplify complexity instead of adding to it
- You communicate clearly, even when explaining deeply technical issues
- You care about building systems that make other engineers more effective
Nice to Have (but not required)
- Experience with RabbitMQ or Redis in production
- Familiarity with Ansible or AWX
- Exposure to multi-cloud or hybrid environments
- Cloud certifications (AWS, GCP) or Linux certifications
- Background from ITI (Information Technology Institute)
What the hiring process will look like
- Screening Interview – Talent Acquisition
- Technical Interview – SRE Lead
- Technical Task
- Final Interview – SRE Lead & Cloud DevOps Director
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