D
Remoto LinkedIn

DevOps Engineer (GCP & Kubernetes)

Devsu Brazil 25 candidaturas 12 dias atrás

Salário estimado

R$ 11k - 17k/mês

Sênior CLT
85%

Score de curadoria

Indicador interno 0 a 100: transparência salarial, stack, descrição útil e sinais de qualidade do anúncio. Não é match com o seu CV.

Descrição da vaga

Texto agregado para leitura rápida. Confira sempre a fonte original ao enviar a candidatura.

We are looking for a hands-on Semi Senior DevOps Engineer to join a high-impact project supporting a global-scale sports event. This role is ideal for someone who enjoys working close to production systems, troubleshooting complex issues, automating infrastructure, and ensuring platform reliability in mission-critical environments.

You will work closely with engineering teams to build, maintain, and improve cloud-native infrastructure running on Google Cloud Platform (GCP) and Kubernetes. The role requires participation in an on-call rotation, including occasional weekend coverage.

Requirements

Responsibilities

  • Deploy, maintain, and improve cloud infrastructure in Google Cloud Platform (GCP)
  • Operate and support Kubernetes environments, including GKE
  • Build and maintain Infrastructure as Code using Terraform
  • Monitor production systems and proactively identify reliability risks
  • Troubleshoot infrastructure, networking, application, and performance issues
  • Participate in incident response, root cause analysis, and postmortem activities
  • Implement and maintain observability solutions, dashboards, and alerting systems
  • Collaborate with software engineering teams to improve deployment processes and operational excellence
  • Support highly available and scalable production environments
  • Contribute to automation initiatives that reduce operational overhead and improve reliability

Required Qualifications

  • 3+ years of experience in DevOps, Cloud Engineering, Site Reliability Engineering, or similar roles
  • Hands-on experience with Google Cloud Platform (GCP)
  • Strong understanding of core GCP services, including:
    • Compute Engine
    • Cloud Run
    • App Engine
    • Google Kubernetes Engine (GKE)
  • Production experience managing Kubernetes environments
  • Experience configuring Kubernetes resources such as Deployments, Services, Ingress, ConfigMaps, Secrets, and Autoscaling
  • Solid understanding of Kubernetes health checks, including readiness and liveness probes
  • Experience with Infrastructure as Code using Terraform
  • Understanding of Terraform state management and multi-environment infrastructure design
  • Strong Linux administration and troubleshooting skills
  • Good understanding of networking concepts, including:
    • VPCs
    • Subnets
    • Firewall rules
    • Load balancing
    • Private networking
  • Experience with monitoring, logging, and observability platforms
  • Experience investigating and resolving production incidents
  • Understanding of reliability concepts such as SLA, SLO, and SLI
  • Strong verbal and written English communication skills
Preferred Qualifications

  • Experience designing highly available and globally distributed applications in GCP
  • Knowledge of zero-downtime deployment strategies
  • Experience supporting large-scale production environments
  • Experience with multi-tenant architectures
  • Scripting experience using Python, Bash, or similar languages
  • Experience working in hybrid cloud/on-premise environments
  • Experience participating in SEV incident management
  • Familiarity with capacity planning and performance tuning

Technology Stack

  • Cloud: Google Cloud Platform (GCP)
  • Containers: Kubernetes, GKE
  • Infrastructure as Code: Terraform
  • Monitoring & Observability: Grafana, Prometheus, Logging Platforms
  • Operating Systems: Linux
  • Incident Management: PagerDuty, ServiceNow, Slack (or equivalent tools)

Working Requirements

  • Availability to work within CT business hours
  • Participation in an on-call rotation that includes coverage for one weekend day when scheduled

What Success Looks Like

  • Reliable operation of production systems during periods of high traffic and critical business activity
  • Fast and effective incident response and troubleshooting
  • Well-automated, maintainable infrastructure managed through Infrastructure as Code
  • Strong collaboration with development teams to improve reliability, scalability, and operational efficiency


Benefits

At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you'll enjoy:

  • A stable, long-term contract with opportunities for career growth
  • A remote-friendly culture that promotes work-life balance
  • Continuous training, mentorship, and learning programs to keep you at the forefront of the industry
  • Free access to AI training resources and state-of-the-art AI tools to elevate your daily work
  • A flexible Paid Time Off (PTO) policy as well as paid holiday days
  • Challenging, world-class software projects for clients in the US and LatAm
  • Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment

Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.

Vagas relacionadas

Seleção por stack em comum com esta oportunidade

S
LinkedIn
Match50%

Especialista SRE

Serasa Experian São Paulo 100 candidaturas Hoje

Salário estimado

R$ 23k - 38k/mês

Especialista CLT

Company DescriptionA Serasa Experian é a primeira e a maior Datatech do Brasil. Líder em soluções de inteligência para análise de riscos e oportunidades, com foco nas jornadas de crédito, autenticação e prevenção à fraude. Com tecnologia de ponta, inovação e os melhores talentos, transforma a incert...

Ver Detalhes
I
LinkedIn
Match35%

Engenheiro de Dados Pleno

iDdata São Paulo 25 candidaturas Hoje

Salário estimado

R$ 4k - 7k/mês

Júnior CLT

Buscamos uma pessoa para atuar como Engenheira(o) de Dados Pleno, com foco em desenvolvimento de pipelines e governança de dados no ecossistema Databricks. Neste cargo, você fará parte do time de Dados e Analytics da ID Data, colaborando diretamente em projetos para clientes de grande porte — contri...

Ver Detalhes
D
Remoto LinkedIn
Match65%

Data Scientist

DoorDash São Paulo 200 candidaturas Hoje

Salário estimado

R$ 9k - 14k/mês

Pleno CLT

About The TeamThe Analytics team is looking for experienced Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving ...

Ver Detalhes