Role Description We are hiring a Senior Software Engineer to lead the development of our internal AI platform and orchestration components, helping us accelerate the deployment of intelligent Agents and RAG pipelines across the organization. You will own the core infrastructure and SDKs that bridge the gap between raw LLM capabilities and production-grade applications, turning complex AI research and data into seamless, scalable tools for our engineering teams. Your work will directly enable us to automate sophisticated workflows and deliver smarter, AI-driven products to our users. You’ll be a key architect and builder of our internal AI platform, designing components that power various AI Agents and Retrieval-Augmented Generation (RAG) pipelines. You prioritize ensuring that complex logic branches and AI workflows are well-understood, tested, and focused on engineering excellence. You will build APIs and services that are highly intuitive to consume, ensuring our internal teams can seamlessly integrate AI capabilities into their workflows. Responsibilities - AI Platform Engineering: Build and maintain the core infrastructure, services, and SDKs that empower the rest of the company to leverage LLMs and Agentic workflows. - Scientific Collaboration: Partner closely with Applied Scientists and Data Scientists to translate experimental models and research into scalable, production-grade AI services. - Data Strategy: Work with Data Engineers to design robust data pipelines that feed into RAG systems, ensuring high-quality, real-time data retrieval for AI context. - Internal Onboarding: Act as a technical consultant and facilitator for other engineering teams, helping them successfully onboard their specific AI use cases onto the platform. - Design & Document: Design, document, and deploy public AI interfaces that provide an exceptional developer experience for internal users. - Operational Excellence: Collaborate with Site Reliability Engineers (SRE) to deliver AI applications in a repeatable, stable, and highly efficient software development lifecycle. - Quality Engineering: Develop comprehensive test cases for AI models and workflows, working with QE to ensure deterministic and reliable outcomes in a non-deterministic AI landscape. Qualifications - Expert-level API and service development in Python (required) and/or Go. - Experience with SQL and database management. - Hands-on experience building RAG pipelines, managing vector databases, and orchestrating multi-agent systems. - Proven ability to communicate technical requirements effectively across Data Science, Data Engineering, and Product domains. - Deep understanding of production-tested principles including horizontal scaling, 12-factor application design, and security principles like OWASP. - Experience monitoring AI performance and analyzing model/software errors using tools like Sentry, DataDog, or Jaeger. - Proficiency in container-based development with Docker and source control via Git. Requirements - At least 5+ years of hands-on software development experience—"It’s not the years, it’s the miles." Benefits - 100% medical, dental, and vision coverage. - Flexible PTO. - Annual home office stipend and WeWork access. - Mental & physical health wellness programs like Headspace, Lumino, and more! - Competitive compensation and opportunity for advancement.

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.