Senior Site Reliability Engineer AI/Automation

Senior Site Reliability Engineer AI/Automation

We are seeking a Senior Site Reliability Engineer with strong hands-on experience in Go, Python, Java, cloud infrastructure, observability, automation, and AI/ML-enabled operational platforms.

Key Responsibilities

Develop and support highly available, scalable applications and APIs using Go, Python, and Java.

Build SRE automation, runbook automation, and AI/RAG solutions utilizing LLMs, semantic search, document ingestion, and knowledge retrieval.

Support large-scale log ingestion, analytics, anomaly detection, and root cause analysis (RCA) platforms.

Implement and manage observability using Splunk, Dynatrace, New Relic, CloudWatch, and OpenTelemetry.

Support distributed systems using Kafka, Spark, PostgreSQL, Cassandra, Redis, and REST APIs.

Build and maintain Docker/Kubernetes deployments and automated CI/CD pipelines.

Support cloud environments including AWS EC2, ECS/Fargate, autoscaling, blue/green deployments, and Route 53.

Lead production incident response, troubleshooting, RCA/PIR, performance tuning, and reliability improvements.

Develop dashboards, alerts, runbooks, and operational standards to improve availability and reduce MTTR.

Required Skills

Go (Golang), Python, Java

AWS / Cloud Infrastructure

Kubernetes, Docker, CI/CD

Splunk, Dynatrace, New Relic, CloudWatch

OpenTelemetry / Distributed Tracing

Kafka, Spark

PostgreSQL, Cassandra, Redis

REST APIs / Microservices

Production Support, Incident Management & RCA

SRE / DevOps Automation

Preferred

Experience with LLMs, RAG, AI/ML platforms, semantic search, and GenAI automation

GitHub Actions and SonarQube automation

Experience supporting large-scale enterprise or financial-services environments. see if you can find someone local to Phoenix