We are seeking an experienced Application Reliability Engineer (ARE) / Application Lead to lead a production stability and reliability improvement initiative across business-critical applications. This consultant will assess recurring production incidents, identify underlying application and operational issues, and develop a focused, measurable plan to improve system stability, reliability, resiliency, performance, monitoring, alerting, and overall operational effectiveness.

The adecuado candidate brings a strong application‑centric perspective to reliability engineering and smooth production operations. They can investigate production instability beyond surface‑level symptoms, distinguish actionable signals from incident and alert noise, improve end‑to‑end observability, guide performance tuning, automate repetitive operational work, and recommend foundational application‑design improvements that reduce operational risk.

Key Responsibilities

Reliability and Production Stability

- Lead a production stability initiative for assigned applications and services.
- Assess the current reliability posture, including recurring incidents, service degradation patterns, operational pain points, manual operational activities, and areas of elevated production risk.
- Define and prioritize reliability improvements that deliver measurable reductions in incidents, customer impact, alert noise, operational toil, and time to recovery.
- Establish a practical roadmap for improving application resilience, availability, recoverability, operational readiness, and service continuity.
- Evaluate operational processes to identify gaps that affect responsiveness, stakeholder experience, incident resolution,



and production support effectiveness.
- Partner with engineering, operations, platform, infrastructure, and support teams to drive execution of the reliability plan.

Incident Management, Analysis, and Root Cause Resolution

- Lead and support production incident reviews for high‑impact, recurring, and complex operational issues.
- Analyze production incidents and recurring operational issues to identify true root causes rather than only treating symptoms.
- Review incident data, post‑incident findings, logs, metrics, traces, application behavior, and dependency health to identify systemic failure patterns.
- Differentiate actionable incidents from duplicate, low‑value, or noisy alerts and events.
- Facilitate or contribute to root cause analysis and corrective‑and‑preventive‑action planning.
- Establish traceability for incidents, remediation actions, owners, dependencies, due dates, decisions, and stakeholder commitments.
- Track remediation items through completion and validate that changes effectively reduce the likelihood or impact of future incidents.
- Identify gaps in incident response, escalation procedures, runbooks, operational ownership, handoffs, and stakeholder communication workflows.
- Improve incident‑management practices to support timely triage, escalation, response, resolution, and follow‑up.





Operational Automation and Process Improvement

- Identify repetitive and manual operational tasks that create delays, inconsistencies, unnecessary toil, or production risk.
- Recommend and drive automation opportunities for recurring support activities, incident‑response tasks, health checks, data collection, remediation steps, and operational reporting.
- Improve operational workflows to increase response consistency, reduce manual effort, and enable teams to focus on higher‑value reliability improvements.
- Define practical process improvements for incident handling, escalation, remediation tracking, change readiness, and service support.
- Establish clear ownership, workflow visibility, and traceability for operational actions and cross‑team dependencies.

Application Resiliency and Design Improvements

- Evaluate applications from a resiliency and failure‑mode perspective, including dependencies, integrations, data flows, error handling, retry behavior, timeouts, capacity constraints, and recovery mechanisms.
- Recommend pragmatic improvements to application design and configuration that strengthen fault tolerance and reduce single points of failure.
- Assess application behavior under degraded conditions and identify opportunities to improve graceful failure, recovery, and service continuity.
- Identify application, integration, and dependency risks that could affect reliability, availability, performance, or customer experience.
- Collaborate with technical leads and development teams to embed reliability considerations into application enhancements and remediation work.

Performance and Application Tuning

📌 Application Reliability Engineer (Colombia)
🏢 Grupo Myth
📍 Colombia