Sr. Site Reliability Engineer

Role: Sr. Site Reliability Engineer (SRE) – Unified Observability & AIOps

Location: Austin, TX / Fort Mill, SC (Hybrid)

Job Type: Full Time

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

Required Skills & Experience

✅ 15+ years in SRE / Production Engineering

✅ Strong Unified Observability background (not infra-only)

✅ Hands-on Dynatrace experience (metrics, traces, logs, Davis AI)

✅ SLI/SLO engineering experience in production systems

✅ Experience implementing dynamic thresholds and anomaly detection

✅ Knowledge of AI/ML concepts applied to Ops (AIOps)

✅ Distributed systems troubleshooting expertise

✅ Experience with Kafka or streaming data platforms

Differentiators (Highly Valued)

• Experience in financial services or regulated environments
• Proven reduction of alert noise and MTTR using AIOps
• GenAI / LLM integration into operations workflows