Principal Service Reliability Engineer

4 days ago

Hyderabad India Oracle Full time

Job Description Key Responsibilities - End-to-end service ownership: design for telemetry, security, resiliency, scalability, and performance lead sizing/architecture drive service health reviews and process simplification. - Incident management and prevention: lead postmortems/RCAs, coordinate fixes, define repair items, and implement data-driven prevention and continuous improvement. - AI/ML and GenAI delivery: design and integrate solutions with LLMs, RAG, agentic workflows, and conversational AI build low-latency model serving and retraining pipelines. - Application engineering: develop performant microservices for distributed, containerized, cloud-native systems. - Automation: eliminate toil by automating operational workflows, recovery procedures, code delivery, and configuration management build internal tools and reusable scripts/services to accelerate delivery and reduce errors. - Observability: define and implement monitoring, logging, alerting, and tracing strategies establish SLOs/SLIs/error budgets improve diagnostics and performance visibility for rapid triage. - Cross-functional collaboration: partner with product, operations, and data teams to translate requirements into secure, scalable solutions communicate effectively with technical and non-technical stakeholders. Minimum Qualifications - BS/MS in Computer Science or related field 10+ years of software engineering in cloud environments. - Strong in distributed systems/microservices using java / python SQL/data modeling python for AI/automation. - SRE/DevOps expertise: systems and networking fundamentals, application security, observability, performance analysis, and incident response. - Proven SDLC excellence: code quality, reviews, version control, CI/CD, testing, and release engineering. - Excellent written and verbal communication English fluency. Preferred/Technical Skills - AI/ML/GenAI: experience with foundational models, RAG, agentic architectures model deployment, optimization, monitoring, and retraining. - Cloud and containers: experience with containerization, orchestration, and resilient, fault-tolerant microservices. - Observability: hands-on experience designing dashboards, alerts, traces, logs, and metrics defining SLOs/SLIs and error budgets on-call readiness and runbook quality. - Operations: performance tuning across java / python and SQL for large-scale enterprise applications strong Linux/Unix expertise capacity planning and reliability reviews. - Automation and scripting: proficiency in scripting to automate operational workflows, build tooling, and CI/CD tasks (e.g., shell scripting, python, configuration-as-code, task runners). - Familiarity with enterprise ERP applications and standard DevOps tooling and practices. Career Level - IC4

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