About the Role
You will help ensure the reliability, scalability, and performance of our core platform and services. You will work closely with Engineering and other stakeholders to design, build, and operate cloud-based infrastructure and distributed systems, while continuously improving automation, observability, and incident response. This role blends Linux systems engineering, cloud infrastructure, Kubernetes, and automation with a strong focus on service availability, operational excellence, and continuous improvement.
Requirements
- 5+ years of hands-on experience in Linux systems administration / engineering in production environments
- Strong working knowledge of Linux, Kubernetes, GitLab, Terraform, Ansible or equivalents
- Experience working in Agile (Scrum) teams
- Experience with AWS (compute-focused services) and/or Google Cloud Platform
- Proven experience with distributed systems design, maintenance, and troubleshooting
- Strong scripting/coding ability in at least one of Python, Golang, bash
- Experience with observability and incident response tooling such as Zabbix, Splunk, Prometheus, Grafana, PagerDuty
- Strong communication skills in English, with the ability to work effectively with customers, vendors, partners, and internal teams across levels
- Working knowledge of datastores and messaging systems such as PostgreSQL, MongoDB, RabbitMQ, and web/application infrastructure components such as Apache, Nginx
- Demonstrated ability to learn quickly, work independently, make good decisions, and collaborate as a team player in fast-changing environments
- Strong AI-driven mindset and curiosity about emerging AI technologies
- Hands-on experience using AI tools such as LLMs, automation frameworks, AI-assisted development tools to enhance productivity or system performance
Responsibilities
- Ensure the availability, resilience, and performance of the platform and supporting services
- Own and improve incident management, including troubleshooting, escalation handling, and follow-ups aligned to SLAs
- Participate in an on-call rotation, supporting production systems and driving reliability improvements from real incidents
- Design, deploy, configure, and manage Linux-based system architecture across environments
- Build and support platform implementations using AWS and other cloud technologies
- Design and implement large and complex technology projects, from initial design through production rollout and operational handover
- Support and maintain Kubernetes-based workloads and platform components
- Build tooling and solutions to automate recurring operational tasks
- Use Infrastructure as Code to standardize and scale, including Terraform for provisioning and Ansible for configuration management and automation
- Improve reliability by reducing manual steps and enabling repeatable deployments
- Manage and maintain CI/CD pipelines across 20+ repositories spanning multiple technology stacks
- Partner with Engineering teams to improve build/release consistency, pipeline reliability, and deployment safety
- Implement and enhance monitoring, logging, and alerting using tools such as Prometheus, Grafana, Zabbix, Splunk, and PagerDuty
- Use metrics and incident learnings to reduce noise, improve signal, and shorten time-to-detect and time-to-recover
- Produce clear, formal documentation including configuration standards, troubleshooting runbooks, and infrastructure and architecture design documentation
- Contribute to internal standards that improve consistency, security, and operational maturity