• 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)

• Manage, lead & mentor our Platform Engineers • Design, build, manage and monitor the infrastructure of RoadRunner technology • Collaborate with product and engineering managers to define technical roadmaps and help guide our technology north star • Maintain current awareness of marketplace trends, both technical and process improvements

• Own the AI/ML platform: GPU capacity strategy, model serving and inference latency, training and fine-tuning infrastructure, MLOps and evaluation pipelines, vector and feature stores, and the RAG and agentic patterns our product teams build on. • Build out the incident response program: on-call structure, severity definitions, incident command, communication standards, postmortems, and follow-through on systemic fixes. • Develop the observability stack across metrics, logs, traces, and synthetics. Set SLOs and report against them. • Operate the Azure and OCI footprint. Infrastructure-as-code, capacity planning, and reliability across CPU and GPU workloads. • Operations, performance, HA/DR, and roadmap for Oracle, SQL Server, MongoDB, and similar. • Brief executives on reliability and risk. Lead internal communication during incidents. Speak to customers when major incidents affect them. • Lead a globally distributed team of managers and senior ICs. Maintain a strong culture and leadership bench.