Senior Site Reliability Engineer – EDA/HPC & Cloud

Synopsys Inc; United States; On-site; USD 140,000 - 220,000; Full time

Job summary

Synopsys IT Infra Platform Team is seeking an Analytics and Insights lead for the EDA/HPC estate to define KPIs and build executive dashboards connecting capacity, cost, and performance with project milestones.

You will translate complex engineering and operations questions into analytics requirements, collaborate with Observability and data platform teams, and drive forecasting, SLIs/SLOs, and durable automation to reduce toil.

Qualifications

• Strong SQL, Python and analytics tooling to turn data into insights.
• Proven experience defining meaningful SLIs/SLOs and building actionable instrumentation.
• Experience coordinating with observability and data platform teams.
• Proactive reliability approach with automation and guardrails.
• Led cross-functional infra initiatives amid competing priorities.
• Clear executive-level communication translating trade-offs into decisions.

Responsibilities

• Define KPIs and metric definitions for health, performance and cost.
• Build executive dashboards linking capacity, turnaround time, availability and spend to decisions.
• Translate stakeholder questions into prioritized analytics requirements.
• Partner with Observability and data platform teams to integrate data sources.
• Lead demand forecasting and scenario planning for on-prem and cloud.
• Define and operationalize SLIs/SLOs for infrastructure services.
• Drive post-incident analysis and durable remediation.

Skills

SQL

Python

Data analytics

Stakeholder management

Cross-functional collaboration

Executive communication

Tools

Observability tooling

Data platform

Job description

Synopsys IT Infra Platform Team is seeking an Analytics and Insights lead for the EDA/HPC estate to define KPIs and build executive dashboards connecting capacity, cost, and performance with project milestones.

You will translate complex engineering and operations questions into analytics requirements, collaborate with Observability and data platform teams, and drive forecasting, SLIs/SLOs, and durable automation to reduce toil.