Senior Platform Engineer, Observability and AIOps

We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You are a strong platform engineer with a passion for building platforms and services that improve how complex infrastructure is observed, understood, and operated. You bring experience developing solutions for observability, automation, and operational intelligence in large-scale enterprise environments. You are comfortable working across software, systems, and operations domains, and you enjoy solving difficult technical problems at scale.

In this role, you will design and develop software and platform capabilities that advance observability, operational analytics, and intelligent automation across Synopsys’ infrastructure ecosystem. You will help improve service visibility, accelerate incident response, reduce operational complexity, and increase infrastructure reliability across environments that support critical engineering workloads.

• Design, develop, and enhance software solutions that support observability, operational analytics, and intelligent automation across infrastructure and platform services.
• Build scalable, reliable, high-performance systems and services for telemetry collection, processing, searching, correlation, analysis, and visualization.
• Develop tools, APIs, and integrations that enhance monitoring, alerting, incident management, and operational workflow automation.
• Create software capabilities that improve visibility across operating systems, orchestration platforms, compute infrastructure, storage, networking, cloud services, and business-critical enterprise platforms.
• Partner with infrastructure, SRE, platform engineering, and operations teams to identify observability gaps and implement scalable solutions.
• Apply Infrastructure as Code practices to deploy, configure, and maintain observability components in a consistent and repeatable way.
• Apply data-driven techniques, AI-assisted methods, or intelligent analytics to improve signal quality, anomaly detection, alert prioritization, and root cause analysis.
• Document technical designs, implementation patterns, and operating procedures to boost teamwork productivity and efficiency within the organization.

• Enable faster incident response and resolution across a global hybrid-cloud infrastructure environment that supports mission-critical engineering and business workflows.
• Reduce operational complexity and alert fatigue by building intelligent systems that surface actionable signals instead of noise
• Improve infrastructure reliability and uptime by making it easier for teams to see, understand, and act on what is happening in real time
• Accelerate troubleshooting and root cause analysis by correlating telemetry across compute, storage, networking, and cloud platforms
• Increase operational efficiency by automating repetitive triage, escalation, and remediation workflows
• Empower SRE and platform teams with better tooling, better visibility, and better data so they can focus on high-value work instead of firefighting
• Contribute to a culture of operational excellence where observability and intelligent automation are first-class engineering priorities

• 8-10 years of experience in software engineering, platform engineering, site reliability engineering, or infrastructure engineering, including substantial experience building observability…