Role: Site Reliability Engineer with Java
Location: Austin, TX (Onsite)
Duration: 12 Months

Detailed Job Description:
Expert in Observability & SRE principles, SLI, SLO and SLA definition and management
Experienced in Grafana stack and other Application performance management tools and frameworks like Elastic stack, AppD, etc.
Expert in SRE observability implementation in instrumentation of metrics, logs and traces.
Expertise in Docker & Kubernetes is required.
Excellent understanding of micro-services architecture, design patterns, and standard methodologies with an eye towards scale, automation, resiliency, and high availability
Prior experience dealing with high volume distributed technical architectures with a high cost of failure, i.e. focus on reliability and availability
Experienced with telemetry tooling and observability systems such as: Jaegar, Prometheus, OpenTracing, OpenTelemetry, App Dynamics, Splunk, DataDog, NewRelic, Lightstep, Grafana.
Experienced with some amount of Big Data technologies such as: ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph DataStores.
Expert Performance Analyzer, Resilience, Chaos engineering, FMEA, Scalability, High Availability, JProfiler, Thread dump Analyser, etc.
Experience with leveraging common infrastructure services like Enterprise Message Bus, Configuration Services, Toggles, Logging Systems, Telemetry for Observability (e.g. OpenTelemetry).
Strong experience with ServiceNow ITOM, ITSM Modules that focuses Discovery, Event Management, Incident, Problem and Change Management
Strong sense of architecture and design for fault tolerance, scale-out approaches and stability practiced Azure Well Architected framework or other cloud such as Google Cloud Platform
Experience in emerging technologies like Machine Learning and AI Ops is a plus.