Sr Platform Engineer, Ads
Role details
Job location
Tech stack
Job description
This job oversees load balancers and CDN platforms, handles outages, leads network design, supports system availability, deploys equipment, implements best practices, offers on-call support, manages global teams, communicates incident impacts, and creates documentation., * Oversee load balancers, Global Server Load Balancing (GSLB) equipment, Content Delivery Network (CDN) platforms, and troubleshoot client/server issues.
- Handle proactive and reactive outages, work with vendors, and take ownership of network incidents, escalations, and root cause analysis.
- Lead backbone network design and architecture for on-premises and public cloud migration, and build hybrid connectivity solutions.
- Work with business unit leadership, product managers, and customers to develop project objectives, timelines, and feature requirements.
- Support network system availability, manage network capacity, and ensure compliance with Information Security standards.
- Deploy equipment, manage SSL certificate hosting and renewal, and build infrastructure for data centers and cloud environments.
- Implement and continually improve operational procedures, systems, and network engineering best practices.
- Offer on-call support, monitor infrastructure and hosted services, and troubleshoot complex issues.
- Manage and influence global teams, provide guidance and support, and mentor team members in areas of expertise.
- Communicate incident impacts, risks, and mitigation plans to executives, document incident information, and create network engineering documentation and best practices., * Infrastructure as Code with Terraform (or similar tools like OpenTofu)
- Operating containerized workloads in production
- Implementing observability and monitoring strategies
- Working with core GCP services: Cloud Run, Cloud DNS, Cloud Armor, Load Balancers, GCS, Pub/Sub, IAM, Cloud
- Build, Artifact Registry
- Debugging and troubleshooting distributed systems
- Collaborating directly with engineering teams to improve platform reliability and developer experience, The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is, Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Requirements
- 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience., We're looking for a hands-on platform engineer who's built and run production systems at scale on GCP. You'll work embedded with service teams. This is a collaborative role where you'll pair with developers to solve real operational challenges. We value battle tested experience over certifications: we want someone who's debugged real production incidents, optimized costs on real workloads, and made the hard tradeoffs that come with running systems that matter.
You'll be working with engineers who care deeply about reliability, observability, and developer experience.
We're looking for someone who can translate infrastructure into code, debug across the stack, and help us continuously improve how we build and operate services., * GKE (Google Kubernetes Engine) experience
- Experience building production data ingestion pipelines and KAR (Knowledge Augmented Retrieval) for data science needs.
- Background in the Ads tech space
- Understanding of low-latency operational requirements
- Scala or JVM ecosystem knowledge
- DataDog experience
Benefits & conditions
At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most.We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.