Job Description
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- Job Title: Java Site Reliability Engineer
- Work Site: PHOENIX, ARIZONA – Onsite – 3 days Office
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Job Description:
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Primary Skills:
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Java
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SRE
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Lang-chain, Langraph, RAG, MCP
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Experience with working on LLM's and integrating with the existing applications
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Python - FastAPI
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Cache - Redis
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Secondary Skills:
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Observability - ELK (Elastic/Kibana), Prometheus, Grafana
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Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka
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Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services and event-driven architecture
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Responsibilities:
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- Perform root cause analysis, identify recurring failure patterns, track corrective/preventive actions, and drive permanent fixes.
- Review production changes, support deployments, perform pre/post-change validations, monitor critical releases, and support rollback/recovery when required.
- Drive EMIM bridges for application impacts, troubleshoot issues, coordinate dependent teams, provide technical updates, and support faster service restoration.
- Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.
- Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
- Work on integrating the existing AI tools and should know major AI frameworks and libraries.
- Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.
- Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.
- Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.
- Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.
- Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.
- Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.
- Cross-team coordination, incident triage and resolution, leadership and stakeholder management.
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