22 days ago
Remote, EMEAMid Level
Responsibilities
- Design, implement, and maintain cloud infrastructure on AWS and Google Cloud.
- Ensure the scalability, performance, availability, and reliability of Kubernetes-based distributed database systems.
- Write production-grade Golang code to automate infrastructure management and improve system operations.
- Optimize CI/CD pipelines, deployment processes, monitoring systems, and repetitive operational tasks.
- Develop disaster-recovery, high-availability, and fault-tolerance strategies.
- Identify bottlenecks and troubleshoot complex issues across networks, operating systems, cloud infrastructure, and the broader stack.
- Implement monitoring, logging, and alerting systems for system health and performance visibility.
- Participate in on-call rotations and respond to incidents affecting critical production systems.
- Collaborate with development, cross-functional, and Customer Success teams to improve reliability and resolve customer issues.
Requirements
- Experience in an SRE or DevOps Engineer role in cloud-native environments.
- Advanced knowledge of Linux internals, including processes and environment variables.
- Experience with AWS, Google Cloud, Docker, and Kubernetes at scale.
- Experience with CI/CD pipelines and tools such as Jenkins and CircleCI.
- Experience with monitoring, alerting, and logging using Prometheus, Grafana, and the ELK stack.
- Knowledge of Git version control, core networking, security best practices, and systematic infrastructure troubleshooting.
- Programming proficiency in Golang or Python.
- Strong communication skills and the ability to work autonomously on a remote team.
- Experience managing distributed databases or large-scale data storage systems is preferred.
- Experience with Python or Bash scripting, Terraform or other Infrastructure-as-Code tools, GitOps, and cloud security is preferred.
- Strong Golang programming experience developing automation tools, scripts, or services is preferred.
Benefits
- Remote role aligned to the Europe time zone, with preference for candidates located in Europe, including Spain and Portugal.
- Opportunity to work on AI and data infrastructure and collaborate with engineering, marketing, and product teams.