Job Profile: Site Reliability EngineerJob Type: Long-Time based contract Job opportunity
Location: 100% Remote in MexicoJob Description:We are looking for an experiencedSenior Site Reliability Engineer (SRE) / Reliability Engineerto improve the stability, availability, and reliability of production systems.
This role focuses on the intersection ofsystems engineering, data science, and resilience engineering, using incident data and operational insights to identify trends, uncover root causes, and develop actionable reliability strategies.
Key Responsibilities
Analyze production incidents, system performance data, and incident logs to identify reliability trends and opportunities for improvement.
Develop tooling and processes to transformraw incident data into actionable reliability strategies.
Design and implement solutions that improve system stability, availability, scalability, and operational resilience.
Build and maintain observability solutions coveringmetrics, structured logging, alerting, and distributed tracing.
Investigate complex production issues and performroot cause analysisacross distributed systems.
Analyze operational data usingSQL and statistical techniquesto identify anomalies, trends, and performance patterns.
Apply statistical methods such asoutlier detection and regression analysisto system performance and reliability data.
Develop automation and engineering tools usingGolang, Java, Python, C++, or other programming languages.
Design, deploy, and maintain containerized workloads usingKubernetes.
Manage and troubleshoot cloud infrastructure, with strong experience inGoogle Cloud Platform (GCP).
Partner with engineering, Dev Ops, data, and product teams to establish reliability best practices and improve operational processes.
ApplyResilience Engineering principlesto understand how systems, processes, and human decision-making influence reliability.
Identify opportunities to reduce recurring incidents,



operational toil, and mean time to recovery.
Translate complex technical failures and reliability issues intoclear business-impact reportsfor technical and non-technical stakeholders.
Contribute to a culture of continuous learning, incident analysis, and proactive reliability improvement.
Required Skills & Experience
~4+ years of experiencein SRE, Dev Ops, Systems Engineering, or related roles managing production environments at scale.
~ Strong hands-on experience withSQL and data analysis.
~ Strong programming experience in one or more ofGolang, Java, Python, or C++.
~ Deep understanding ofobservability, including alerting systems, distributed tracing, structured logging, and metrics collection.
~ Experience withKubernetesand container orchestration.
~ Strong experience withGCP cloud infrastructure.
~ Experience analyzing system performance and operational data using statistical methods.
~ Knowledge ofoutlier detection, regression analysis, trend analysis, and anomaly detection.
~ Strong understanding of distributed systems, production troubleshooting, and reliability engineering.
~ Ability to perform effectiveroot cause analysisand develop preventative reliability strategies.
~ Strong understanding ofResilience Engineering and the human factorsthat influence system reliability.
~ Excellent communication skills, with the ability to translate technical incidents into clearbusiness impact and executive-level reporting.Preferred Skills
Experience withPrometheus, Grafana, Open Telemetry, Jaeger, Datadog, Splunk, or similar observability platforms.
Experience withPython-based data analysisand statistical libraries.
Experience building reliability dashboards and operational analytics.
Knowledge ofSLOs, SLIs, SLAs, error budgets, and incident management.
Experience with incident response, postmortems, and reliability improvement programs.
Familiarity withResilience Engineering, Chaos Engineering, and distributed systems reliability

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