Sr. Site Reliability Engineer

• Sr. Site Reliability Engineer
• at Qode

HybridTexas, Texas, United StatesFull-time

• Posted few hours ago
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Description

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

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Qode is dedicated to helping technical talent around the world find meaningful careers that match their skills and interests. Our platform provides a range of resources and tools that empower job seekers to take control of their careers and connect with top employers across a variety of industries. We believe that every individual deserves to find work that they're passionate about, and we are committed to making that vision a reality.

Qode's team of experienced professionals is passionate about creating a better world of work by providing innovative solutions that improve the job search process for both job seekers and employers. We believe in transparency, trust, and collaboration, and we strive to build strong relationships with our customers and partners. Through our platform, we aim to create a more engaged and fulfilled global workforce that drives innovation and growth.