Job description

This position is not eligible for fully remote work. Candidates must be willing to work from one of Synopsys' U.S. office locations. Current hiring locations for this role include Hillsboro, OR; Austin, TX; Plano, TX; Morrisville, NC; and Sunnyvale, CA. Applications are welcomed from candidates who can be based at, or are willing to relocate to, one of these locations. 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 You are the kind of engineer who sees beyond the ticket in front of you and instinctively looks for the system behind it. When something breaks, you don’t just rush to restore service and move on—you stay curious about why it happened, what assumptions failed, and what would prevent the same issue from resurfacing. You’re energized by complexity, not intimidated by it, and you approach ambiguity as a space to bring structure, clarity, and calm. You thrive in environments where reliability and speed both matter, and you naturally look for the path that improves both rather than treating them as tradeoffs. You prefer repeatable mechanisms over heroic effort, and you feel a quiet satisfaction when a once-manual process becomes a dependable workflow that others can trust. You value clean handoffs, clear ownership, and thoughtful defaults—because you know that the best platforms are the ones that make the right thing the easy thing. You communicate in a way that builds confidence: transparent about risk, crisp about decisions, and generous with context so others can move independently. You collaborate with empathy, but you’re also willing to challenge decisions that create hidden operational or security debt. You take pride in leaving things better than you found them—more observable, more resilient, and easier to operate—so teams can focus on building what matters. What You'll Be Doing • Design and maintain robust web applications and internal tools using Angular or React, Node.js/NestJS, and Python to support engineering workflows at scale. • Architect and implement hybrid infrastructure solutions spanning on-prem data centers and public cloud environments (Azure, AWS, and GCP) with reliability and security as default outcomes. • Build and evolve CI/CD pipelines in Azure DevOps, GitHub Actions, or similar platforms to standardize builds, testing, releases, and deployment automation. • Develop and manage Infrastructure as Code using Terraform to enable repeatable provisioning, eliminate drift, and improve auditability across environments. • Deploy, operate, and optimize Kubernetes platforms (AKS, EKS, GKE, and self-managed clusters), including upgrades, capacity planning, and incident response. • Automate provisioning and operational workflows with Python, Bash, or PowerShell to reduce manual toil and improve platform consistency. • Implement observability and reliability practices—metrics, logs, traces, dashboards, and alerting—so issues are detected early and resolved with clear operational insight. The Impact You Will Have • Enable development teams to ship changes faster and more confidently because delivery workflows are automated, consistent, and resilient. • Reduce operational incidents and time-to-recovery by improving platform reliability, observability, and repeatable remediation patterns. • Turn infrastructure provisioning into a self-service, auditable capability that scales across hybrid and multi-cloud environments. • Keep Kubernetes platforms stable and efficient across providers through better standardization, capacity management, and operational hygiene. • Improve security and compliance outcomes by embedding governance, identity controls, and secure defaults directly into platform and delivery practices. • Lower total cost of ownership by eliminating manual toil, reducing drift and rework, and optimizing resource usage without sacrificing performance. • Increase engineering productivity by identifying and applying AI-assisted automation opportunities that remove friction from everyday development and operations. What You'll Need • You have a bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience. • You have 5+ years in DevOps, Cloud Engineering, SRE, Platform Engineering, or closely related roles supporting production environments. • You bring strong hands-on experience with Azure and AWS, including core compute, networking, identity, and security fundamentals. • You have proven experience implementing Infrastructure as Code with Terraform across cloud and/or on-prem environments. • You have strong Kubernetes experience (AKS and/or EKS), including deployment, upgrades, troubleshooting, and operating containerized workloads at scale. • You bring CI/CD pipeline design and maintenance experience using Azure DevOps, GitHub Actions, Jenkins, or similar tooling, along with automation skills in Python and/or PowerShell. • You have differentiating experience with modern observability practices (metrics, logs, traces) using OpenTelemetry and tools like Prometheus/Grafana, Azure Monitor, CloudWatch, Elastic, Datadog, or New Relic, and familiarity with GitOps (ArgoCD/Flux) or AI-assisted operations is a plus. Who You Are • You are methodical in ambiguity—framing problems clearly, validating assumptions, and aligning stakeholders before you commit to a solution. • You approach incidents with calm urgency, restoring service first while capturing the evidence needed to drive lasting corrective actions. • You communicate with precision and transparency, surfacing tradeoffs and risk early so teams can make informed decisions. • You collaborate across engineering, security, and operations by building shared standards and reusable patterns rather than one-off fixes. • You are comfortable challenging architectural choices when they create reliability, scalability, or security debt, and you do so constructively with data and alternatives. The Team You'll Be Part Of This role sits within a small, high-impact team of four that is expected to grow, distributed across India, Europe, and the US. The team’s mission is to support and modernize legacy cloud applications while preparing the platform for emerging requirements in agentic AI and service marketplace capabilities. This position will play a key role in driving modernization efforts, improving operational reliability, and helping shape the team’s next phase of scale and execution. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability. #LI-Hybrid At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability. In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.

Requirements

Must-haves

What You'll Be Doing
Design and maintain robust web applications and internal tools using Angular or React, Node.js/NestJS, and Python to support engineering workflows at scale.
Architect and implement hybrid infrastructure solutions spanning on-prem data centers and public cloud environments (Azure, AWS, and GCP) with reliability and security as default outcomes.
Build and evolve CI/CD pipelines in Azure DevOps, GitHub Actions, or similar platforms to standardize builds, testing, releases, and deployment automation.
Develop and manage Infrastructure as Code using Terraform to enable repeatable provisioning, eliminate drift, and improve auditability across environments.
Deploy, operate, and optimize Kubernetes platforms (AKS, EKS, GKE, and self-managed clusters), including upgrades, capacity planning, and incident response.
Automate provisioning and operational workflows with Python, Bash, or PowerShell to reduce manual toil and improve platform consistency.
Implement observability and reliability practices—metrics, logs, traces, dashboards, and alerting—so issues are detected early and resolved with clear operational insight.
The Impact You Will Have
Enable development teams to ship changes faster and more confidently because delivery workflows are automated, consistent, and resilient.
Reduce operational incidents and time-to-recovery by improving platform reliability, observability, and repeatable remediation patterns.
Turn infrastructure provisioning into a self-service, auditable capability that scales across hybrid and multi-cloud environments.
Keep Kubernetes platforms stable and efficient across providers through better standardization, capacity management, and operational hygiene.
Improve security and compliance outcomes by embedding governance, identity controls, and secure defaults directly into platform and delivery practices.
Lower total cost of ownership by eliminating manual toil, reducing drift and rework, and optimizing resource usage without sacrificing performance.
Increase engineering productivity by identifying and applying AI-assisted automation opportunities that remove friction from everyday development and operations.
What You'll Need
You have a bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
You have 5+ years in DevOps, Cloud Engineering, SRE, Platform Engineering, or closely related roles supporting production environments.
You bring strong hands-on experience with Azure and AWS, including core compute, networking, identity, and security fundamentals.
You have proven experience implementing Infrastructure as Code with Terraform across cloud and/or on-prem environments.
You have strong Kubernetes experience (AKS and/or EKS), including deployment, upgrades, troubleshooting, and operating containerized workloads at scale.
You bring CI/CD pipeline design and maintenance experience using Azure DevOps, GitHub Actions, Jenkins, or similar tooling, along with automation skills in Python and/or PowerShell.
You are methodical in ambiguity—framing problems clearly, validating assumptions, and aligning stakeholders before you commit to a solution.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiangularreactnode.jspythonazureawsgcpci/cdkubernetes

Platform: avature
Effort: medium

Benefits

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Vision

Wellness