Eli Lilly and Company

Senior Principal Application Support Engineering Lead – AI Products & Agents

Eli Lilly and Company
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21 days ago
Hyderābād, IndiaStaff+

Responsibilities

  • Lead end-to-end application support operations across shifts and time zones, including handoffs, escalation paths, and operational decision frameworks.
  • Serve as incident commander for complex, high-impact production incidents and coordinate recovery with engineering, product, platform, security, and vendor teams.
  • Own enterprise problem management, root-cause analysis, defect elimination, and measurable corrective actions.
  • Define reliability strategy using SRE and production engineering principles, including SLIs, SLOs, error budgets, readiness standards, runbooks, monitoring, and rollback plans.
  • Set observability direction across logs, metrics, and traces and drive automation, reusable runbooks, and remediation patterns to reduce toil and MTTR.
  • Provide operational oversight for deployments, releases, risk assessment, go/no-go decisions, and post-release validation.
  • Ensure compliant, secure, auditable support operations in regulated and validated environments.
  • Mentor R2/R3 engineers and influence managers, architects, and engineering leaders through technical expertise and operational outcomes.

Requirements

  • 10–14+ years of experience in application support, production engineering, SRE, or software engineering with deep operational ownership.
  • Extensive experience leading high-severity incident response and operational execution.
  • Deep hands-on troubleshooting experience across distributed applications, integrations, databases, and cloud platforms.
  • Strong experience with monitoring, logging, and alerting platforms such as Datadog, Splunk, ELK, AppDynamics, or CloudWatch.
  • Advanced scripting and automation skills using tools such as Python and Bash.
  • Proven ability to work in regulated enterprise environments and communicate and lead effectively under pressure.
  • Experience with Power Automate, LLM models, generative AI, and agentic AI.
  • Preferred experience with SLIs, SLOs, error budgets, containers, Kubernetes, CI/CD pipelines, Infrastructure as Code, globally distributed support teams, and enterprise operational standards.

Benefits

  • Full-time onsite position in Hyderabad.
  • Flexible and non-standard work hours are required for continuous two-shift operations, including possible weekends and holidays.
  • Candidates should be open to shifts from 6AM–2PM and 2PM–11PM.
  • Appropriate benefits adjustments may be provided for employees working non-standard hours where applicable.

Tech Stack

BashDatadogKubernetesPythonSplunk

Categories

Site Reliability
Eli Lilly and Company

About Eli Lilly and Company

10,000+ employees
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