Role Description The Platform Security team is responsible for securing Block's cloud, compute, and network infrastructure across multiple business units including Square, Cash, and Afterpay. - Discover, track, and enable the business to remediate the most critical security risks across Block's cloud ecosystems (AWS and GCP). - Drive the creation of cloud security policy and best practices. - Measure and aggregate deviations from these policies. - Develop capabilities to estimate security risk based on cloud signals and business context. - Help execute the vision that the secure option should be the easiest option for users. We're looking for a strong Senior Platform Security Engineer with a deep understanding of securing cloud infrastructure and services at scale. You Will - Architect and evolve cloud security guardrails. - Design and implement SCPs, GCP org policies, and IAM controls. - Build automation to discover, measure, and contextualize security issues. - Develop integrations with CSPM/DSPM tools and internal platforms to surface and prioritize findings. - Own the cloud security exception lifecycle. - Partner with platform teams to deliver solutions that eliminate categories of cloud security risk. - Deliver key cloud security assurance functions. - Develop risk-based prioritization. - Respond to and triage cloud security alerts. - Produce quality software that scales across Block's multi-cloud footprint. - Think, build and iterate in an AI-augmented environment. Qualifications - 5+ years of experience as a software or security engineer. - 4+ years of experience securing infrastructure running on AWS and/or GCP at scale. - Deep experience with Infrastructure-as-Code. - Experience with cloud security posture management (CSPM) tools such as Wiz. - Strong understanding of IAM. - Experience maturing the cloud security posture of large, complex environments. - Demonstrated ability to deliver complex projects from concept to launch. - Demonstrated fluency with AI-assisted development tools. Requirements - Experience with Kubernetes security in environments like EKS or GKE. - Familiarity with BI and data exploration tools like Looker and Snowflake. - Experience building or operating security exception/risk acceptance workflows at scale. - Familiarity with cloud networking and network segmentation strategies. - Ability to work cross-functionally and communicate with diverse audiences. - Experience supporting multi-business-unit organizations with varying compliance requirements. Benefits - Remote work. - Medical insurance. - Flexible time off. - Retirement savings plans. - Modern family planning.

• Build and maintain software applications in our suite of enterprise software products • Work with product managers and designers to brainstorm bottom-up solutions to novel problems • Collaborate with AI engineers to efficiently utilize commercial large language model (LLM) APIs • Continuously improve the code quality, extensibility, scalability, and test coverage of software projects • Make architecture and cloud-engineering decisions in conjunction with other engineers • Develop and improve infrastructure-as-code stacks, CI/CD pipelines, and monitoring/observability tools • Improve internal developer tools, workflows, and best practices to enhance team efficiency • Provide consistent feedback to management regarding the quality of the team, the state of the tech stack, and relationships with stakeholders • Troubleshoot and resolve complex issues across the entire application stack • Mentor junior team members • Participate in incident response and disaster recovery efforts • Leverage AI-assisted tools to enhance productivity, streamline workflows, and support day-to-day activities • Other duties as assigned

Role Description The Platform Engineering Compute team is responsible for the overall cloud platform architecture that supports the cloud services provided to our customers and internal developers. As a Senior Platform Engineer, you will own meaningful areas of our platform, contribute to design decisions, and help improve our automation and tooling. You'll work with other platform engineers to develop and maintain the systems that support Feedzai's cloud service and enable faster, more nimble product delivery. Your Day to Day: - Design, build, and maintain Kubernetes Operators and platform services, including deployment, monitoring, and operations. - Develop in Go or similar languages, following team standards and contributing to best practices. - Automate cloud infrastructure and incident response; improve self-healing and reliability. - Develop and refine playbooks, runbooks, and alerting to streamline response procedures. - Maintain and improve the product deployment pipeline and GitOps practices (e.g. FluxCD, Argo CD). - Participate in incident response, root cause analysis, and resolution; contribute to post-incident improvements. - Work with AI-assisted development tools (e.g. Cursor) as part of your daily workflow to ship faster and iterate effectively. - Maintain and extend Infrastructure as Code (IaC) and platform lifecycle (monitoring, alerting, security, cost, configuration, backup) in production. - Help improve developer experience and platform capabilities for product teams. Qualifications - A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training. - 5+ years of hands-on experience in platform engineering, DevOps, or cloud infrastructure. - Strong programming skills in Go, Java, or similar, with experience building and maintaining systems. - Hands-on experience with container technologies and orchestration (Docker, Kubernetes). - Experience with CI/CD (e.g. Jenkins, GitLab) and GitOps tools (e.g. FluxCD, Argo CD). - Experience working with at least one major cloud provider (AWS or GCP) and cloud-native patterns. - Experience with monitoring and observability (e.g. Grafana, Prometheus). - Experience with Infrastructure-as-Code (e.g. Terraform, Crossplane) and platform lifecycle management. - Self-driven, collaborative, and motivated to learn and improve how we build and run the platform. Preferred Qualifications and Skills - Excellent communication skills, both written and verbal. - Comfort with AI-augmented development tools (e.g. Cursor) and willingness to adopt new tooling. - Kubernetes, cloud, or programming certifications or equivalent are valued. Benefits - Immersive training and connections in your first 30 days. - Access to a wealth of information about Feedzai and the team. - Opportunities for collaboration on ongoing projects. Company Description Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. - Feedzai is a Series D company and has raised $282M to date. - With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

• Own the end-to-end architecture, hands-on development, and ongoing evolution of core platform capabilities • Partner with and support the Data Platform team on data-domain and AI-driven applications that they own • Own and evolve the platform’s CI/CD infrastructure, pipelines, and deployment tooling • Build and lead strong cross-functional partnerships with technology teams to align platform strategy • Drive platform modernization while maintaining security, compliance, auditability, and resilience • Establish engineering best practices, CI/CD pipelines, observability, and platform governance