• Lead in a player-coach capacity in execution for Stitch Fix’s next-gen Data, ML, and GenAI platforms • Contribute towards modernization of data and ML foundations to support unified signals, adaptive models, experimentation velocity, and scalable AI/ML workloads. • Provide foundational APIs, SDKs, frameworks, and self-service tools that make it easy for data scientists, ML engineers, analysts, and application teams to build and deploy AI solutions quickly, safely, and at scale. • Partner with Data Science, Engineering, and Product teams to translate Data/ML/GenAI platform capabilities into production-grade features and intelligent experiences that deliver measurable business value. • Drive responsible AI and data adoption by creating reusable templates, documentation, and enablement programs. • Contribute towards improving governance practices including data contracts, lineage, metric definitions, access policies, and responsible AI guardrails - for trust, safety, and compliance. • Ensure operational excellence through platform reliability, performance, observability, cost efficiency, and simplification of legacy systems. • Lead and develop high-performing engineering teams fostering a culture of clarity, excellence, and trust. • Balance speed of innovation with platform stability, ensuring engineering efforts are tightly aligned to business priorities and long-term client value.

• Design and implement scalable, reliable, and cost-effective cloud solutions using Google Cloud Platform services and products. • Analyse business requirements and recommend appropriate cloud technologies and architectures. • Develop and maintain cloud infrastructure code using tools such as Terraform or Google Cloud Deployment Manager. • Manage and automate the deployment, scaling, and management of cloud infrastructure using tools such as Kubernetes or Google Cloud Deployment Manager. • Optimise infrastructure costs by analysing usage and implementing cost-saving measures such as reserved instances or instance rightsizing. • Implement infrastructure-as-code practices to ensure consistency, repeatability, and version control of cloud infrastructure. • Implement and maintain security controls and policies to ensure the confidentiality, integrity, and availability of cloud infrastructure and data. • Monitor and respond to security incidents and vulnerabilities, and perform regular security assessments and audits. • Ensure compliance with industry standards and regulations such as GDPR, HIPAA, and PCI DSS. • Monitor cloud infrastructure and services for performance, availability, and security issues using tools such as Stackdriver or Prometheus. • Perform root cause analysis and troubleshoot issues related to cloud infrastructure and services, and implement corrective actions and preventive measures. • Continuously improve the reliability and resilience of cloud infrastructure by implementing best practices such as fault-tolerance, redundancy, and disaster recovery. • Proactive management of customer related tasks and projects, by applying the learned skills and knowledge. • Proactiveness in: identifying and suggesting improvements where applicable, detecting missing documentation and filling in the gaps. • Providing technical support whilst attending meetings with stakeholders as needed. • Acting as a mentor for the more junior colleagues by sharing your knowledge and expertise, and guiding them through the successful resolution of customer related tasks.

• Design and implement scalable, reliable, and cost-effective cloud solutions using Google Cloud Platform services and products. • Analyse business requirements and recommend appropriate cloud technologies and architectures. • Develop and maintain cloud infrastructure code using tools such as Terraform or Google Cloud Deployment Manager. • Manage and automate the deployment, scaling, and management of cloud infrastructure using tools such as Kubernetes or Google Cloud Deployment Manager. • Optimise infrastructure costs by analysing usage and implementing cost-saving measures such as reserved instances or instance rightsizing. • Implement infrastructure-as-code practices to ensure consistency, repeatability, and version control of cloud infrastructure. • Implement and maintain security controls and policies to ensure the confidentiality, integrity, and availability of cloud infrastructure and data. • Monitor and respond to security incidents and vulnerabilities, and perform regular security assessments and audits. • Ensure compliance with industry standards and regulations such as GDPR, HIPAA, and PCI DSS. • Monitor cloud infrastructure and services for performance, availability, and security issues using tools such as Stackdriver or Prometheus. • Perform root cause analysis and troubleshoot issues related to cloud infrastructure and services, and implement corrective actions and preventive measures. • Continuously improve the reliability and resilience of cloud infrastructure by implementing best practices such as fault-tolerance, redundancy, and disaster recovery. • Leading and managing potential new projects for our customers by gathering and understanding the requirements, providing estimations on effort required, etas of deliverables, attending regular customer meetings and supporting the CSM with technical input where needed. • Acting as a mentor for the more junior colleagues by sharing your knowledge and expertise, and guiding them through the successful resolution of customer related tasks.

• Provide advanced operational support and troubleshoot complex issues to minimize downtime. • Collaborate with development and operations teams to implement features and integrate user-facing elements. • Optimize container platform environments for performance, scalability, and security, following best practices. • Monitor system performance and resolve issues to ensure uptime and reliability. • Deploy and manage Kubernetes-based clusters, ensuring high availability, scalability, and security. • Configure infrastructure components for optimal performance and reliability. • Administer and maintain CI/CD pipelines using GitOps tools (e.g., Argo CD), ensuring security and compliance. • Perform advanced Linux administration, including installation and configuration, across cloud environments. • Document operational, maintenance, and upgrade procedures for clarity and accessibility. • Support knowledge sharing and assist team members in troubleshooting and best practices.