Senior SRE Engineer

Role Summary

We are seeking a Senior SRE with strong expertise in Unified Observability, proactive detection, AIOps, and GenAI-driven operations to support complex, distributed financial services platforms. The role requires hands-on experience designing SLI/SLO-driven monitoring, dynamic thresholds, intelligent alerting, and AI/ML-based anomaly detection across multi-stream architectures.

Key Responsibilities

Observability & Reliability Engineering

• Design and implement unified observability dashboards across metrics, logs, traces, events, and topology
• Define and manage SLIs, SLOs, and error budgets aligned to business outcomes
• Build actionable dashboards for operations, engineering, and leadership
• Implement alerting strategies using static and dynamic thresholds

Proactive Detection & AIOps

• Leverage AI/ML/AIOps to detect anomalies, predict incidents, and reduce MTTR
• Transition monitoring from reactive alerts to proactive insights
• Implement noise reduction, alert correlation, and root cause analysis
• Apply baseline modeling, seasonality detection, and anomaly scoring

Distributed Systems & Dependency Analysis

• Monitor and troubleshoot multi-service architectures involving:
  • Microservices
  • Downstream APIs
  • Kafka / streaming platforms
  • Cloud infrastructure (Terraform, IaC)
• Identify whether issues originate from:
  • Upstream/downstream dependencies
  • Streaming platform
  • Infrastructure
  • Application code

Tooling & Platforms

• Deep hands-on experience with Dynatrace (mandatory)
• Experience with:
  • OpenTelemetry
  • Prometheus / Grafana
  • ELK / EFK
  • Cloud-native monitoring (AWS/Azure/GCP)
• Strong JSON-based telemetry manipulation and enrichment

GenAI & LLM Enablement

• Apply GenAI / LLMs for:
  • Incident summarization
  • Root cause explanation
  • Runbook recommendations
  • Auto-remediation suggestions
• Collaborate with platform teams to operationalize GenAI safely