This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description To build and maintain the automated production line for PHIN's Physical Superintelligence. You will own the plumbing that allows our simulation engine to seamlessly scale, ensuring that our team can deploy updates multiple times a day and ingest massive amounts of simulation data without friction. - Greenfield Observability: Architect and implement a comprehensive logging, monitoring, and alerting stack across our platform from the ground up. - Compute Architecture, Scaling & FinOps: Provision, manage, and optimize highly concurrent scaling clusters. Act as a cloud-agnostic thinker to direct future architecture and implement rigorous FinOps practices to minimize the cost of running thousands of simultaneous jobs. - Infrastructure as Code (IaC): Own, maintain, and expand our Terraform footprint. - Continuous Deployment (CD): Design and maintain high-velocity CI/CD pipelines supporting multiple deployments per day. Ensure "code to production" is a seamless, automated journey. - Backend Robustness: Manage the API layer that sits between the infrastructure and the application layer. Read and refactor services to optimize data movement, squash bottlenecks, and maintain security. - Data Pipeline Architecture: Build the underlying pipelines to move, store, and process the massive datasets generated by atomic-scale simulations. - Platform DevEx & MLOps: Build self-serve tooling and event-driven pipelines that empower the entire organization. Create seamless abstractions so our developers can focus on what they do best. - DevOps & Intelligence Automation: Ruthlessly automate manual toil. Use and build AI-driven tools to manage logs, infrastructure provisioning, and business workflows. - Standard Enterprise Security: Implement and maintain security best practices (SOC2/ISO focus) required for enterprise-grade contracts. Qualifications - 5–8 years as a high-output Individual Contributor in Infrastructure or Backend roles. - Comfortable touching any part of the system—from networking and security to API design and data engineering. - Familiarity with Python and TypeScript/Node.js. - Deep experience with major cloud providers. - Familiarity with high-performance computing (HPC) schedulers like Slurm is a major plus. - Not married to one framework; you choose the best tool for the job (K8s, Serverless, HPC Schedulers, etc.). - Expert user of intelligence tools (Claude, Cursor, Codex, Copilot, Agents, etc.) to 10x your own productivity and automate business tasks. - Previous experience working closely with machine learning teams, supporting ML workflows, or building MLOps pipelines is highly desirable.

• Architect and evolve our DevOps ecosystem, champion cloud cost governance, and implement best-in-class container orchestration practices. • Work cross-functionally with engineering, security, and finance teams to ensure operational excellence while proactively managing infrastructure spend. • Lead end-to-end DevOps strategy, including CI/CD pipelines, automation, infrastructure-as-code, and release engineering. • Design scalable, resilient cloud-native architectures aligned with business growth. • Establish DevOps best practices, reliability standards, and operational governance. • Architect and manage large-scale Kubernetes environments for production workloads. • Optimize workloads across clusters for performance, reliability, and cost efficiency. • Build and maintain containerized applications using Docker and Kubernetes, ensuring portability and scalability. • Drive multi-cluster, multi-region deployments where necessary. • Own infrastructure cost visibility and optimization initiatives. • Implement cloud cost-saving strategies including rightsizing, reserved capacity planning, auto-scaling optimization, and workload scheduling. • Create dashboards and reporting mechanisms to track infrastructure ROI and spend trends. • Continuously identify inefficiencies and implement measurable cost-reduction initiatives without compromising performance. • Design and implement comprehensive monitoring systems using Grafana and related observability tools. • Build real-time dashboards for system health, performance metrics, and cost insights. • Establish alerting frameworks to minimize downtime and improve incident response. • Drive improvements in system reliability through data-driven monitoring and post-incident analysis. • Automate provisioning, deployments, scaling, and recovery processes. • Improve system resilience, availability, and disaster recovery strategies.

• Designing and maintaining scalable, secure, and cost-efficient cloud infrastructure. • Automating infrastructure provisioning, deployment pipelines, and monitoring systems to improve reliability and efficiency. • Leading DevOps strategy by collaborating with teams to identify and address challenges in workflows and processes. • Driving system security by implementing best practices and ensuring compliance with industry standards. • Mentoring and guiding DevOps engineers to foster a culture of problem-solving and continuous improvement. • Acting as the technical lead for resolving complex issues and ensuring high system availability. • Optimizing cloud performance and costs while mitigating risks to enhance operational efficiency. • Staying current with emerging DevOps technologies and incorporating innovative solutions into the infrastructure. • Building fault-tolerant systems and tools that empower developers to deploy securely and efficiently. • Supporting 24/7 operations by participating in on-call rotations and ensuring quick issue resolution.

• You plan, develop and execute capital projects by supporting technical developments, feasibility perspectives of engineering-related activities in supply chain and capital expense project execution to support growth, world-class manufacturing and productivity with the highest levels of quality, safety and environmental requirements • You will be accountable for the quality and results of the capital projects per Mondelēz standards, and our business and innovation processes in project management. • You will work with key stakeholders to define and deliver the capital and technical agendas during the development phases of capital investment projects • You will develop capital budgets according to the contract and forecast cash flow, ensure that engineering developments and standards are implemented, and support the development and implementation of state-of-the art processes and equipment strategies to optimize resources, harmonize assets and rollout best practices. • You will own, lead, and drive systems engineering, software delivery automation and CI/CD practices across all digital platforms. • You will manage tool and vendor selection across development automation activities to ensure that tooling is fit for purpose for an enterprise-grade software deployment automation & DevOps platform.