Application Reliability Engineer (ARE) / Application Lead

Grupo Myth; Colombia; Remote; COP 286,451,000 - 413,762,000; Full time

Job summary

Grupo Myth in LATAM is seeking an experienced Application Reliability Engineer to lead production stability across critical applications. You will assess recurring incidents, identify root causes, and develop a measurable plan to improve resilience, observability, performance, and operational effectiveness.

You will collaborate with engineering, operations, and support teams to drive end‑to‑end reliability, automate repetitive tasks, and implement design improvements that reduce operational

Qualifications

• 8+ years of experience in application engineering, production support, site reliability engineering, or related technical discipline.
• Proven ability to diagnose and resolve complex production incidents and perform root cause analysis.
• Experience leading incident reviews and driving remediation actions through completion.
• Strong understanding of application architecture, dependencies, and operational risk.
• Experience with monitoring, alerting, and observability practices across distributed systems.

Responsibilities

• Lead a production stability initiative for assigned applications and services.
• Analyze incidents to identify root causes and systemic failure patterns.
• Improve end‑to‑end observability and monitoring for critical user journeys and services.
• Drive automation to reduce toil and repetitive operational work.
• Coordinate across engineering, operations, and support teams to execute reliability improvements.
• Provide clear communication during incidents and remediation progress.
• Establish traceability for incidents, owners, dependencies, and due dates.

Skills

Incident management

Root cause analysis

Observability

Automation

Stakeholder communication

Performance tuning

Distributed systems

Tools

Monitoring dashboards

Logs & tracing

Automation tools

Job description

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 ideal 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

• Identify performance bottlenecks and reliability risks related to application configuration, resource utilization, database interactions, integrations, batch workloads, transaction flows, and infrastructure dependencies.
• Identify and prioritize opportunities to optimize system performance, responsiveness, throughput, stability, and production scalability.
• Lead or support application tuning efforts to improve stability, responsiveness, throughput, and production performance.
• Recommend improvements based on production telemetry, incident trends, observed usage patterns, and business‑critical transaction behavior.
• Validate the operational impact of tuning and remediation changes through measurable outcomes.

Monitoring, Alerting, and Observability

• Assess the quality and effectiveness of current application monitoring, dashboards, logging, tracing, and alerting practices.
• Identify gaps in end‑to‑end monitoring for critical user journeys, services, application components, integrations, dependencies, and business transactions.
• Improve observability across application components, dependencies, integrations, and critical business transactions to enable earlier detection and faster diagnosis.
• Reduce alert fatigue by improving alert thresholds, routing, deduplication, prioritization, escalation paths, and actionable alert content.
• Define meaningful health indicators and operational metrics that reflect real application reliability, service health, and customer impact.
• Enhance proactive monitoring and alerting capabilities to identify emerging service risks before they become customer‑impacting incidents.
• Create or enhance dashboards, operational views, and runbooks to support rapid issue detection, diagnosis, escalation, and resolution.
• Implement clear alert‑response procedures, including ownership, escalation criteria, and stakeholder communication expectations.

Stakeholder Leadership and Communication

• Serve as the application reliability lead and trusted advisor for technical and operational stakeholders.
• Translate incident trends, technical findings, process gaps, and operational risks into a clear, targeted reliability improvement plan.
• Establish proactive communication practices for production incidents, service degradation, emerging risks, remediation progress, and operational priorities.
• Ensure stakeholders receive timely, accurate, and actionable updates during incidents and throughout remediation activities.
• Present progress, risks, priorities, dependencies, and outcomes to engineering leadership and relevant delivery teams.
• Coordinate across teams to ensure ownership, sequencing, accountability, and timely completion of reliability remediation activities.
• Maintain visibility into incident status, corrective actions, operational commitments, and cross‑team dependencies.
• Provide practical recommendations that balance urgency, business impact, engineering effort, operational risk, and long‑term maintainability.

Required Qualifications

• 8+ years of experience in application engineering, production support, site reliability engineering, application operations, systems engineering, or a related technical discipline.
• Demonstrated experience leading production stability, reliability, resiliency, operational excellence, or service‑improvement initiatives.
• Strong experience diagnosing and resolving complex production incidents in enterprise application environments.
• Proven ability to perform root cause analysis and translate findings into durable corrective and preventive actions.
• Experience conducting production incident reviews and driving remediation actions through completion.
• Strong understanding of application architecture, distributed systems concepts, integrations, dependencies, failure modes, and operational risk.
• Experience identifying and automating repetitive manual operational tasks to reduce toil and improve response consistency.
• Experience with application performance analysis, optimization, and tuning.
• Hands‑on experience with monitoring, alerting, logging, tracing, dashboards, and observability practices.
• Ability to identify end‑to‑end monitoring gaps and improve monitoring coverage for critical services, integrations, and business transactions.
• Ability to identify and reduce alert noise while improving the actionability, routing, prioritization, and effectiveness of production alerts.
• Experience establishing traceability for incidents, remediation actions, owners, dependencies, commitments, and operational follow‑up.
• Strong stakeholder‑management and communication skills, including proactive communication during incidents, service degradation, and remediation work.
• Experience collaborating with application development, infrastructure, platform, operations, and support teams.
• Ability to work effectively as an independent consultant, prioritize high‑impact work, and drive outcomes in a time‑bound engagement.
• Availability to work in alignment with US time zones from the Latin America region.

Preferred Qualifications

• Experience in an application lead, technical lead, production engineering, SRE, or reliability engineering role.
• Experience establishing operational standards, incident‑management practices, reliability metrics, service‑health reporting, or stakeholder communication protocols.
• Experience with operational automation, runbook automation, workflow improvement, or reduction of manual support toil.
• Familiarity with capacity planning, dependency management, resilience testing, disaster recovery, and business continuity considerations.
• Experience improving engineering practices related to production readiness, release risk, change management, and post‑incident follow‑up.
• Experience implementing or improving end‑to‑end observability across distributed applications and integrations.
• Experience working within complex, multi‑team enterprise application landscapes.
• Current‑state assessment of application reliability, production stability, operational processes, and key service risks.
• Analysis of production incident trends, recurring failure patterns, root causes, and sources of incident or alert noise.
• Prioritized reliability and resiliency improvement roadmap with recommended actions, owners, dependencies, timelines, and expected outcomes.
• Root cause findings and remediation recommendations for high‑impact or recurring production issues.
• Incident‑management improvement plan covering reviews, response workflows, escalation, ownership, corrective actions, and follow‑up.
• Traceability framework for incidents, remediation actions, owners, dependencies, stakeholder commitments, and status reporting.
• Operational automation recommendations and prioritized opportunities to reduce repetitive manual tasks and support toil.
• Application tuning, performance optimization, and design improvement recommendations.
• End‑to‑end monitoring, alerting, observability, and dashboard improvement plan for critical services and business transactions.
• Updated or proposed operational runbooks, incident‑response guidance, escalation procedures, stakeholder communication practices, and reliability metrics.
• Regular progress reporting on completed improvements, remaining risks, remediation status, and measurable stability outcomes.

Success Measures

• Reduction in recurring production incidents, service degradation, and operational escalations.
• Lower alert and incident noise, with an increased percentage of actionable alerts.
• Faster detection, diagnosis, escalation, communication, and recovery from production issues.
• Improved application availability, performance, resilience, recoverability, and operational readiness.
• Increased monitoring coverage and earlier detection of risks across critical user journeys, dependencies, integrations, and business transactions.
• Reduction in manual operational effort through targeted automation and improved operational workflows.
• Clear ownership, traceability, and timely completion of prioritized remediation actions.
• Improved stakeholder visibility and proactive communication regarding incidents, risks, service status, and remediation progress.
• A sustainable reliability improvement plan that can continue after the consulting engagement ends.
• Remote Work
• Payment in USD

Detalles

Our client is a provider of digital transformation and end‑to‑end experience (TX) solutions with a cross‑functional approach across the entire company, whose goal is to offer services that are future‑ready and resilient to market disruptions.

By focusing on TX, they help companies implement and deliver the best customer experience (CX), the best employee experience (EX), and the best business experience (BX), with a comprehensive range of services.