Lead Platform Reliability Engineer

About the role

This role is designed for highly experienced infrastructure engineers with deep technical expertise in one core platform discipline (Network, Middleware, Database, or Storage) and experience collaborating across at least one additional infrastructure domain (Enterprise Tools, Cloud, Observability Tools).

Responsibilities

• Lead the investigation and resolution of complex production incidents, identifying root causes and implementing long-term corrective actions.
• Apply SRE principles including service level indicators (SLIs), service level objectives (SLOs), error budgets, and reliability engineering practices to improve platform health.
• Lead capacity analysis, forecasting, and utilization reviews to identify future scaling risks and prevent service degradation before customer impact occurs.
• Perform deep performance analysis across infrastructure layers, identifying bottlenecks, contention points, latency drivers, and resource inefficiencies.
• Identify and remediate configuration drift, operational debt, and platform hygiene issues that impact long-term reliability.
• Drive proactive reliability improvements through observability, automation, performance optimization, and resiliency engineering.
• Design and implement automation solutions that eliminate operational toil, reduce manual intervention, and improve recovery capabilities.
• Define and enhance enterprise observability standards through metrics, logging, tracing, alerting, and service health monitoring.
• Partner closely with engineering, infrastructure, application, cloud, and operations teams to improve platform performance and availability.
• Lead blameless post-incident reviews and convert recurring operational issues into measurable engineering improvements.
• Identify reliability risks and communicate technical recommendations to engineering leaders and senior stakeholders.
• Mentor engineers and technical teams on reliability engineering, operational excellence, automation, and platform best practices.

Requirements

• 5+ years of Systems Engineering, Infrastructure Engineering, Platform Engineering, Technology Architecture, or equivalent experience.
• 5+ years supporting and engineering enterprise-scale production environments.
• 5+ years of experience with hands-on expertise in one of the following technology domains:
• Network Engineering (routing, switching, load balancing, DNS, network observability, performance analysis)
• Middleware Engineering (WebSphere, Tomcat, JBoss, Kafka, MQ, application platforms, integration technologies)
• Database Engineering (Oracle, SQL Server, PostgreSQL, MongoDB, database performance, replication, HA/DR)
• Storage Engineering (SAN/NAS technologies, storage virtualization, backup/recovery, performance and capacity management)

Qualifications

• Strong experience applying SRE principles, including SLI/SLO development, error budgets, incident analysis, and reliability measurement.
• Proven success troubleshooting complex issues spanning multiple technology domains in large-scale distributed environments.
• Experience with capacity planning, resiliency engineering, fault tolerance, disaster recovery, and performance optimization.
• Hands-on experience with observability and monitoring platforms such as Grafana, Splunk, Prometheus, AppDynamics, Cribl, ThousandEyes, Dynatrace, or similar technologies.
• Experience building dashboards, alerts, service health indicators, and operational reporting.
• Strong automation and scripting experience using Python, Bash, PowerShell, or similar technologies.
• Experience developing operational tooling, API integrations, self-healing capabilities, and automated remediation solutions.
• Familiarity with Git-based development practices, CI/CD pipelines, infrastructure automation, and Infrastructure as Code tools such as Ansible or Terraform.
• Ability to influence technical direction across infrastructure and engineering organizations.
• Demonstrated success mentoring engineers and promoting reliability engineering best practices.
• Strong communication skills with the ability to translate technical concepts into business-focused outcomes.