Job Profile: Site Reliability Engineer

Job Type: Long-Time based contract Job opportunity Location: 100% Remote in Mexico

We are looking for an experienced

Senior Site Reliability Engineer (SRE) / Reliability Engineer to improve the stability, availability, and reliability of production systems. This role focuses on the intersection of systems 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 transform raw incident data into actionable reliability strategies

. Design and implement solutions that improve system stability, availability, scalability, and operational resilience. Build and maintain observability solutions covering metrics, structured logging, alerting, and distributed tracing

. Investigate complex production issues and perform root cause analysis across distributed systems. Analyze operational data using

SQL and statistical techniques to identify anomalies, trends, and performance patterns. Apply statistical methods such as outlier detection and regression analysis to system performance and reliability data. Develop automation and engineering tools using

Golang, Java, Python, C++, or other programming languages

. Design, deploy, and maintain containerized workloads using

Kubernetes

. Manage and troubleshoot cloud infrastructure, with strong experience in

Google Cloud Platform (GCP) . Partner with engineering, DevOps, data, and product teams to establish reliability best practices and improve operational processes. Apply

Resilience Engineering principles to 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 into clear business-impact reports for technical and non-technical stakeholders. Contribute to a culture of continuous learning, incident analysis, and proactive reliability improvement.

Required Skills &

Experience ~4+ years of experience in SRE, DevOps, Systems Engineering, or related roles managing production environments at scale. ~ Strong hands-on experience with

SQL and data analysis

. ~ Strong programming experience in one or more of

Golang, Java, Python, or C++ . ~ Deep understanding of observability

, including alerting systems, distributed tracing, structured logging, and metrics collection. ~ Experience with

Kubernetes and container orchestration. ~ Strong experience with

GCP cloud infrastructure

. ~ Experience analyzing system performance and operational data using statistical methods. ~ Knowledge of outlier detection, regression analysis, trend analysis, and anomaly detection

. ~ Strong understanding of distributed systems, production troubleshooting, and reliability engineering. ~ Ability to perform effective root cause analysis and develop preventative reliability strategies. ~ Strong understanding of

Resilience Engineering and the human factors that influence system reliability. ~ Excellent communication skills, with the ability to translate technical incidents into clear business impact and executive-level reporting

.

Preferred Skills Experience with

Prometheus, Grafana, OpenTelemetry, Jaeger, Datadog, Splunk, or similar observability platforms

. Experience with

Python-based data analysis and statistical libraries. Experience building reliability dashboards and operational analytics. Knowledge of

SLOs, SLIs, SLAs, error budgets, and incident management

. Experience with incident response, postmortems, and reliability improvement programs. Familiarity with

Resilience Engineering, Chaos Engineering, and distributed systems reliability

.

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