Key Responsibilities

Service Reliability Engineering

• Design and implement strategies to improve service reliability, availability, resilience, and operational stability.
• Monitor and analyze service health across distributed applications, APIs, infrastructure, and supporting components.
• Define and track SLIs, SLOs, SLAs, and error budgets for critical services.
• Identify reliability risks, single points of failure, recurring incidents, and systemic weaknesses.
• Drive initiatives to reduce service degradation, incident frequency, and recovery time.
• Contribute to resilience, fault tolerance, and operational readiness improvements.
• Establish reliability standards and best practices across services and platforms.

Observability & Service Visibility

• Design and enhance observability capabilities across metrics, logs, traces, and events.
• Develop centralized monitoring and telemetry strategies for critical services.
• Build and maintain service health dashboards and reliability views.
• Design effective alerting strategies with appropriate thresholds, prioritization, and noise reduction.
• Improve visibility across distributed services, APIs, infrastructure, and integrations.
• Correlate telemetry and operational events to identify service-impacting conditions.

Incident Analysis & Reliability Improvement

• Perform advanced analysis of service incidents, alerts, and operational events.
• Support incident response by providing deep service health and telemetry insights.
• Lead or contribute to Root Cause Analysis (RCA) and post-incident reviews.
• Identify recurring failure patterns and reliability gaps.
• Translate incident findings into concrete monitoring, architecture, and operational improvements.
• Track reliability improvement actions through implementation and effectiveness.

Performance & Capacity Engineering

• Analyze service performance, latency, throughput, and resource utilization trends.
• Identify performance bottlenecks and potential service degradation risks.
• Support capacity planning and forecasting using operational and monitoring data.
• Analyze system behavior under normal and abnormal operating conditions.
• Provide recommendations for performance, scalability, and resource optimization.
• Develop service reliability, performance, and capacity reports.

Service Health & Operational Readiness

• Define and maintain service health indicators for critical business and technical services.
• Establish operational readiness criteria for new and existing services.
• Assess service dependencies and their potential impact on reliability.
• Support reliability assessments for major changes, releases, and new service deployments.
• Ensure monitoring, alerting, recovery, and operational requirements are properly defined.
• Collaborate with technical teams to improve overall service resilience and operational maturity.

Required Technical Skills

• Strong hands-on experience in Service Reliability, Production Operations, or Site Reliability Engineering.
• Strong experience with monitoring and observability platforms such as Prometheus, Zabbix, Grafana, Splunk, and Kibana.
• Experience with centralized logging and telemetry platforms such as ELK Stack or Splunk.
• Strong understanding of observability concepts: metrics, logs, traces, events, and telemetry.
• Solid understanding of distributed systems and service dependencies.
• Strong Linux administration and performance troubleshooting skills.
• Good understanding of network and infrastructure monitoring fundamentals.
• Experience with application, API, and service-level monitoring.
• Experience with event management, incident management, and ticketing systems.
• Understanding of service availability, reliability, and operational monitoring practices.

Reliability & Engineering Knowledge

• Strong understanding of Service Reliability Engineering principles.
• Practical knowledge of SLO, SLI, SLA, and error budget frameworks.
• Strong understanding of MTTR, MTBF, availability, resilience, and service continuity.
• Experience with incident analysis, RCA, and post-incident improvement.
• Knowledge of alert optimization and signal-to-noise improvement.
• Ability to identify systemic reliability risks and recurring failure patterns.
• Understanding of fault tolerance, redundancy, graceful degradation, and resilience.
• Strong analytical and problem-solving skills.
• Understanding of service dependency and failure-domain analysis.

Nice to Have

• Experience with APM and distributed tracing platforms.
• Experience with OpenTelemetry.
• Experience with automation and scripting using Python or Bash.
• Exposure to cloud-native and containerized environments.
• Familiarity with Kubernetes and microservices architectures.
• Experience with performance testing and capacity analysis.
• Familiarity with ITIL / ITSM processes.
• Experience with service management or enterprise production environments.

Soft Skills

• Strong analytical and systems-thinking mindset.
• Calm and effective under incident pressure.
• Cross-team collaboration skills.
• Clear reporting and documentation.

Work Conditions

• Participation in incident scenarios and reliability reviews.
• Close collaboration with Service Operations teams.
• Participation in incident reviews, RCA, and reliability improvement initiatives.