Vodeno
Cloud Engineer
Vaga remota de Cloud Engineering com fit claro de localização do candidato.
Publicada3 de jul. de 2026
Países elegíveis38 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Cloud Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
what we do
- Client at the centre - we deliver value to our clients
- Curiosity - we want to know more!
- Accountability - we deliver on our promises
- Collaboration - we can achieve more with others
what you will be doing
- Work closely with our Cloud Team and software developers
- Support the engineering team in building & designing fault-tolerant applications and infrastructure
- Define container-based and sandbox deployment strategies
- Support cloud integrations, pipelines, and upgrades
- Develop automation tools to ensure our services can run at scale with high availability
- Guard our infrastructure through increasing service security, redundancy, and monitoring
- Improve and monitor our CI/CD environment as well as server and network environments
- Support disaster recovery, backup, redundancy, and capacity planning activities
- Evangelize and coach Vodeno engineers on best practices
- Design, develop, deploy, and maintain the enterprise logging platform using Elastic Stack
- Actively contribute to improving the Elastic Stack ecosystem.
- Develop and manage high volume data ingestions and real-time data flow processes.
skills you should have
- Great communication skills in English & Polish (written and verbal) / open to non-Polish speakers as well (willing to learn Polish)
- Cloud experience—maintaining applications for cloud platforms (GCP, Azure, AWS), preferably GCP.
- Linux experience – Strong background in Linux administration (configuration & troubleshooting)
- Programming experience – Java, Python (a plus), Go, shell. If you speak Go then you will build cloud-based solutions using it.
- Operational experience – maintaining multilayer IT systems, application monitoring, deep-dive troubleshooting, performance analysis (CPU / memory),
- Hands-on knowledge of automation/configuration management tools: Terraform, Ansible, Puppet
- Experience with: Apache Kafka / Helm charts / ELK stack / Kibana / Gitlab
- Experience with Vmware
- Knowledge of project implementation methodology: Agile, Scrum
- Strong prioritization & troubleshooting skills
- Hands-on experience with supporting Elasticsearch in production, performance tuning, handling medium to large clusters.
- Hands-on experience in setting up Elastic Stack (Elasticsearch, Logstash, Kibana) to process data from multiple data sources.
- Hands-on experience with Kibana visualization strategies, controls, and techniques.
- Hands-on experience with Elasticsearch index configuration, shading, aliases, ILM etc.
- Understand the Security and Access management concept for ECE and Elastic Stack.
- Preferred experience with messaging – buffering tools like Redis, Kafka, PubSub.
- Preferred experience with ECE.
- Preferred experience with developing and managing high volume data ingestions and real-time data flow processes
- Preferred experience with data log streaming platforms and tools to ingest data from systems, applications, and access logs.
- GCP certifications such as Cloud Engineer or Cloud Architect are a plus.
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