{bc}
oracle

Site Reliability Engineer III

JPMorgan Chase
Hyderabad, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 2 days ago
GrafanaDynatracePrometheusDatadogSplunkPython
Free

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Job responsibilities

  • Build and support scalable, resilient AI/ML data solutions
  • Coordinate incident management coverage for effective application issue resolution
  • Collaborate with cross-functional teams to perform root cause analysis and implement production changes
  • Develop and support AI/ML solutions for troubleshooting and incident resolution
  • Mentor and guide team members to drive strategic change
  • Manage budgetary considerations and staffing challenges
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
  • Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes.
  • Partner with colleagues across global teams to deliver impactful results

Required qualifications, capabilities and skills

  • Formal training or certification on site reliability engineering concepts and 3+ years applied experience
  • Proficient in site reliability culture and principles, with familiarity in implementing site reliability within an application or platform
  • Proficiency in running production incident calls and managing incident resolution
  • Experience in observability including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivity
  • Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements
  • Strong understanding of SLI/SLO/SLA, Error Budgets and Proficiency in Python or PySpark for AI/ML modeling
  • Must be able to reduce toil by building new tools to automate repeated tasks
  • Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
  • Awareness of risk controls and compliance with departmental and company-wide standards
  • Ability to work collaboratively in teams and build meaningful relationships to achieve common goals

Preferred qualifications, capabilities and skills

  • 4+ years in an SRE or production support role with AWS Cloud, Databricks, Snowflake or similar technologies
  • AWS and Databricks certifications

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