Description
Location: Guadalajara (Mexico)

What you'll do:
- Experience of working with large scale distributed systems, including scalability, disaster recovery and fault tolerance.
- Expertise Python scripting .
- Define, implement, and own SLIs, SLOs, and error budgets for critical microservices in collaboration with product and engineering teams.
- Use error budgets to influence release decisions, prioritize reliability work, and manage operational risk.
- Design and maintain observability platforms including metrics, logs, traces, and real-time telemetry.
- Track, manage, and reduce operational toil by converting repetitive operational work into Jira stories and epics with clear ownership and measurable outcomes.
- Design, implement, and validate resiliency mechanisms such as graceful degradation, redundancy, automated failover, and disaster recovery.
- Lead incident response, act as an escalation point for high-severity incidents, and drive blameless postmortems.
- Partner with scrum teams to improve reliability through release readiness reviews,



production change validation, and testing strategies.
- Capture incident action items and reliability improvements in Jira, ensuring closure, accountability, and continuous improvement.
- Perform deep root cause analysis, debugging, and performance tuning across distributed systems.
- Provide technical leadership and mentoring to junior SREs and engineers.
- Promote shift-left reliability by embedding operability, monitoring, and failure testing early in the SDLC.
- Strong knowledge on CICD Pipeline, GIT, AWS/Azure/GCP as Paas service
- Demonstrated knowledge of Configuration Management and Deployment tools automation
- Strong Experience with networking concepts and protocols (HTTP, HTTPS, Telnet, SSH, Firewall, VPN, Routing and Load Balancing)
- Strong Experience with Linux
- Experience with Monitoring solutions like Prometheus, Grafana, Products like ELK/Splunk etc.
- Experience of working with large scale systems

📌 SRE +Dynatrace | Mexico (México)
🏢 Photon Group
📍 México