• As a Staff Software Engineer, you will play a critical leadership role in building and operating the infrastructure that powers Cake’s AI platform. • You’ll design and operate the ML platform foundations that both internal teams and customers rely on, owning systems end-to-end from architecture to production. • You’ll work closely with customers to translate real-world ML use cases into reliable, scalable platform capabilities. • Leverage infrastructure-as-code to manage complex cloud environments supporting critical ML and AI initiatives. • Design Kubernetes-native systems, including controllers/operators where appropriate. • Improve platform networking, security, and observability. • Own critical systems in production, including reliability, scalability, security, and cost efficiency. • Identify and proactively address technical debt, operational risk, and platform bottlenecks. • Quickly ramp up to a complex tech stack (Terraform, Kubernetes, Istio, Crossplane, Go, TypeScript). • Create abstractions and tooling that make it easier for teams and customers to deploy, run, and scale AI/ML workloads. • Collaborate directly with customers to understand their ML infrastructure challenges and translate them into platform improvements. • Balance speed and rigor—shipping quickly while maintaining a high bar for quality and safety. • Act as a technical leader and mentor across the engineering organization. • Write clear documentation and design proposals that align stakeholders and drive decisions. • Partner closely with product and leadership to shape platform direction and priorities.

• Improve our mobile developer experience — from local setup to CI/CD — so engineers across the company can confidently contribute to the Guest App • Build guardrails, tooling, and automation that make shipping changes to thousands of apps safe and reliable • Increase release reliability and app freshness across Apple App Store and Google Play • Strengthen observability, monitoring, and operational workflows to quickly diagnose and resolve issues • Leverage AI tools to build automations at scale across our release and distribution workflows • Partner closely with our internal launch team — power their workflows, hear feedback quickly, and iterate • Contribute directly to the Guest App codebase when platform and product work intersect • Take ownership of cross-cutting technical initiatives from design through production • Provide thoughtful code reviews and technical leadership to raise the bar across the team • Help us build a great team — interview candidates, refer great engineers, and shape engineering culture

• Investigate novel techniques combining class leading heuristics with optimization and ML • Translate real world Supply Chain Management use cases into mathematical models • Lead the design and implementation of mathematical models and ML systems • Define test strategies and develop comprehensive test plans • Write unit testing, integration testing, and debugging to ensure robust and error-free software • Design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools • Collaborate closely with your agile team members and other stakeholders

Role Description The Cloud Data Security Engineer will lead the deployment, integration, and operationalization of the Cloud Data Security Posture Management Platform across our partner Cloud Service Providers. The Cloud Data Security Engineer will have very solid interpersonal skills, be a self-starter, and have a desire to maintain enterprise-wide visibility to initiatives related to cloud-based technologies and services. The Cloud Data Security Engineer is an individual contributor role with deep expertise in Cloud Security and Cloud Engineering best practices. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Participate in the deployment and integration of the DSPM and DLP tools in a Cloud environment - Design, implement and manage security controls to safeguard cloud infrastructure and data - Conduct security assessments and audits to ensure compliance with federal regulations and standards (e.g. FedRAMP, NIST) - Collaborate with cross functional teams to identify security requirements and develop solutions - Develop and maintain security documentation including policies and procedures - Stay current with emerging security threats and technologies, providing recommendations for continuous improvement - Mentor and provide guidance to junior security engineers and other team members - Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement Qualifications - High School Diploma/GED - 1+ years of experience in cloud security engineering or data security engineering and data classification - 1+ years of experience in scripting and automation focused on cloud-based deployments utilizing languages/frameworks such as Python, Terraform, CloudFormation, etc. - 1+ years of experience with container security and orchestration tools (Docker, Kubernetes, etc.) - 1+ years of experience working with a wide array of operating systems (e.g. Linux, Windows, Ubuntu, etc.) - 1+ years of experience with cloud databases (e.g. SQL, NoSQL, Dynamo, etc.) Requirements - Experience with DevSecOps practices and integrating security into CI/CD pipelines - Knowledge of advanced threat detection and response techniques - Outstanding written and verbal communication skills, with the ability to work collaboratively in a team environment - Strong understanding of fundamental security principles/concepts (Networking, Encryption, IAM) - Excellent problem-solving skills, with the ability to analyze complex security issues and develop effective solutions - Relevant security certifications – CISSP or equivalent highly preferred Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements)