Site Reliability Engineer (SRE)

Team: Architecture

Location: Belgrade

Commitment: Full-Time

Workplace Type: onsite

Key responsibilities

• Platform reliability & operations:
• 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.
• Infrastructure engineering (Linux / Cloud / Kubernetes):
• Design, deploy, configure, and manage Linux-based system architecture across environments.
• Build and support platform implementations using AWS and other cloud technologies (compute-centric services and related infrastructure).
• 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.
• Automation & Infrastructure as Code:
• Build tooling and solutions to automate recurring operational tasks.
• Use Infrastructure as Code (IaC) to standardize and scale: Terraform for provisioning , Ansible for configuration management and automation
• Improve reliability by reducing manual steps and enabling repeatable deployments.
• CI/CD & developer enablement:
• 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.
• Observability & operational readiness:
• Implement and enhance monitoring, logging, and alerting, using tools such as: Prometheus, Grafana, Zabbix, Splunk, PagerDuty (or equivalent incident alerting/response tooling).
• Use metrics and incident learnings to reduce noise, improve signal, and shorten time-to-detect/time-to-recover.
• Documentation & standards:
• Produce clear, formal documentation including: Configuration standards, Troubleshooting runbooks, Infrastructure and architecture design documentation.
• Contribute to internal standards that improve consistency, security, and operational maturity.

Required skills & experience

• 5+ years of hands-on experience in Linux systems administration / engineering in production environments.
• Strong working knowledge of the following (or equivalents): Linux, Kubernetes, GitLab, Terraform, Ansible.
• 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 (expected familiarity) with datastores and messaging systems such as: PostgreSQL, MongoDB, RabbitMQ. Also 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 (e.g., LLMs, automation frameworks, AI-assisted development tools) to enhance productivity or system performance.

Nice to have

• Experience operating highly available, high-volume web services.
• Strong initiative and self-starter attitude with minimal supervision.
• Demonstrated success reducing operational toil through automation and better tooling.
• Experience improving SLOs/SLIs, error budgets, or formal reliability practices (if applicable to your background).