Sr. Site Reliability Engineer
Qode•Arlington, TX
•Hybrid
About The Position
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.
Requirements
- 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
Nice To Haves
- Experience in financial services or regulated environments
- Proven reduction of alert noise and MTTR using AIOps
- GenAI / LLM integration into operations workflows
Responsibilities
- 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
- 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
- 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
- Apply GenAI / LLMs for: Incident summarization, Root cause explanation, Runbook recommendations, Auto-remediation suggestions
- Collaborate with platform teams to operationalize GenAI safely
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1-10 employees
