DevOps Engineer

Pipl is an AI company that helps global enterprises make better fraud decisions. We're built on more than 20 years of identity data and Elephant, the industry's only large risk model trained on payment fraud.

Pipl's three products give enterprise teams modular access to the intelligence they need across payment and transaction ecosystems, where the cost of getting it wrong is highest.

Pipl Trust brings AI-native risk decisioning into payment workflows, with Elephant resolving identity across behavioral, device, and network signals in real time. Pipl Search connects identity intelligence for investigations and background checks, drawing on our global identity graph. Pipl Elements delivers phone and email signals that strengthen existing fraud models and verification workflows.

Our identity graph covers more than 5 billion identities and 740 billion signals. The world's largest payment networks, ecommerce marketplaces, and digital wallet platforms trust Pipl to get it right.

We are looking for a DevOps Engineer to be part of the Platform team that is responsible for architecting, provisioning, automating and deploying our products. In this role, on the day-to-day, you will have a major impact on the way we design, deploy, support, and operate our DevOps solutions to meet the needs, and evolve the underlying technology.

Responsibilities:

• Design, develop, and implement scalable and robust cloud infrastructure solutions, utilizing industry best practices for high availability, performance, and security.
• Manage and optimize CI/CD pipelines to enable seamless software delivery and automated deployments across multiple environments.
• Collaborate with development, operations, and quality assurance teams to define and implement efficient workflows, ensuring the stability and reliability of production systems.
• Identify and implement automation opportunities to improve the efficiency of software development and deployment processes, such as infrastructure provisioning, configuration management, and monitoring.
• Monitor system performance, troubleshoot issues, and perform root cause analysis to identify and resolve problems promptly.
• Implement security best practices, ensuring compliance with relevant regulations and standards.
• Work on-call in rotation.
  
  

• At least 4 years of professional experience as a DevOps Engineer
• Solid understanding of Cloud Infrastructure, (preferably GCP) - Must
• Experience in containerization technologies like Docker, Kubernetes, GKE - Must
• Experience in building, deploying and managing CI/CD pipelines using tools like GitHub Actions with ArgoCD - Must
• Experience with using and implementing IaC; Terraform, Crossplane
• Experience with monitoring tools like Prometheus, Grafana, Loki
• Good scripting skills using Bash or Python
• Ability to debug problems that span systems and design solutions that span the whole stack
• Ability to hold yourself and others to a high bar when working with production systems
• Strong communication and collaboration skills