Site Reliability Engineer (SRE)

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 manageLinux-basedsystem architecture across environments.
• Build and support platform implementations usingAWSand 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.
• UseInfrastructure 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 maintainCI/CD pipelines across 20+ repositoriesspanning multiple technology stacks.
• Partner with Engineering teams to improve build/release consistency, pipeline reliability, and deployment safety.
• Observability & operational readiness:
• Implement and enhancemonitoring, 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 inLinux systems administration / engineering in production environments.
• Strong working knowledge of the following (or equivalents):Linux,Kubernetes,GitLab, Terraform,Ansible.
• Experience working inAgile (Scrum) teams.
• Experience withAWS (compute-focused services) and/orGoogle Cloud Platform.
• Proven experience withdistributed 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 inEnglish, 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.
• StrongAI-driven mindsetand curiosity about emerging AI technologies.
• Hands-on experience usingAI tools(e.g., LLMs, automation frameworks, AI-assisted development tools) to enhance productivity or system performance.

Nice to have

• Experience operatinghighly 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).