In All Media

• Design, build, and scale automated testing frameworks from scratch • Implement and maintain robust end-to-end (E2E) UI test suites • Develop automation scripts to validate RESTful, GraphQL, and microservice layer protocols • Partner with product owners and business analysts to translate requirements into executable automation specs • Integrate automated test suites directly into deployment pipelines • Diagnose, troubleshoot, and refactor flaky or failing test scripts

• Support daily taxonomy operations by labeling, annotating, and classifying complex job and resume data. • Standardize job titles and accurately map occupations across core global datasets. • Review and validate metadata to optimize overall taxonomy quality, ensuring all outputs remain accurate and highly consistent. • Perform data cleanup and localization workflows specifically tailored for global markets while strictly adhering to data labeling guidelines. • Process and evaluate high-volume datasets using strong pattern recognition skills and sharp attention to detail.

• Lead and execute cloud infrastructure migration tasks • Act as the primary DevOps point of contact for UK and European engineering stakeholders • Maintain, optimize, and scale cloud environments using Terraform • Manage and refine automated deployment pipelines primarily via Jenkins • Manage containerized environments using Docker and Kubernetes • Seamlessly integrate with the existing DevOps team

• Oversee the end-to-end administration of contract metadata, license utilization, ownership tracking, and renewal timelines within the Torii SaaS (Software as a Service) Management platform. • Build and maintain API (Application Programming Interface) integrations and automated user onboarding/offboarding provisioning workflows. • Monitor and troubleshoot existing integration connections with internal tools. • Conduct regular data audits, cross-reference platform records with Workday updates, perform internal data investigations, and resolve high-level data inconsistencies to keep the platform a pristine "source of truth." • Perform direct software contract reviews, cost center mappings, and spend analysis to optimize license allocations and manage the corporate Renewal Calendar. • Evaluate newly discovered shadow IT applications, validate technical owners, and collaborate closely with Procurement, Finance, Legal, Security, and IT teams to ensure proper security governance compliance. • Maintain the internal Application Catalog to keep available tools visible enterprise-wide, and educate Application Owners on data governance responsibilities.

• Design and implement highly scalable configurations and extensive customizations within the Salesforce platform. • Develop advanced programmatic logic and automation using Apex, Lightning Web Components (LWC), Visualforce, and Salesforce Flows. • Connect Salesforce with external downstream systems using standard REST/SOAP APIs (Application Programming Interfaces) and enterprise middleware solutions. • Maintain and build upon Salesforce architecture, managing the underlying data model, platform security, and sharing models according to industry best practices. • Handle code deployments and versioning utilizing Git-based source control and automated CI/CD (Continuous Integration/Continuous Deployment) pipelines. • Diagnose, debug, and resolve complex platform bugs or operational performance issues.

• Elicit and gather detailed requirements from both business and technical stakeholders, proactively identifying gaps and clarifying ambiguity. • Understand complex business processes and break them down into clear, actionable functional requirements and workflows. • Facilitate core Agile practices, including sprint planning, backlog grooming, and user story creation with robust acceptance criteria. • Collaborate closely with product, UX/UI, and engineering teams to drive alignment on frontend/backend dependencies and implementation constraints. • Support software and product development teams through the entire project lifecycle in fast-paced delivery environments. • Create, update, and maintain comprehensive process and product documentation, even when baseline documentation is limited.

• Lead end-to-end recruitment processes for senior-level technical roles across software engineering, cloud, DevOps, data engineering, AI/ML, cybersecurity, and platform engineering. • Recruit globally, identifying top technical talent across LATAM, EMEA, APAC, and other strategic regions to support US enterprise clients. • Translate complex enterprise job descriptions into structured evaluation frameworks and measurable screening criteria. • Conduct rigorous technical and behavioral interviews to validate architecture ownership, system design capabilities, communication clarity, and seniority alignment. • Leverage AI tools to enhance sourcing precision, optimize Boolean logic, structure screening rubrics, analyze transcripts, detect risk patterns, and improve overall productivity. • Act as a strategic consultant to candidates, refining resumes and positioning to align with Fortune-level hiring standards. • Deliver highly analytical candidate submissions, clearly mapping technical expertise, business impact, and project ownership to client requirements. • Operate effectively under performance KPIs while maintaining high-caliber candidate quality suitable for enterprise environments.

• Provide system configuration support across Workday Financials domains under the guidance of senior team members, ensuring solutions align with platform standards. • Assist with active production issues, troubleshoot system defects, and contribute to timely technical resolutions. • Collaborate with functional stakeholders to help translate high-level business requirements into actionable system solutions. • Help ensure absolute data integrity, platform security, and strict regulatory compliance within all financial processes. • Actively participate across multiple testing cycles, including unit testing, integration testing, and User Acceptance Testing (UAT). • Maintain precise documentation for system configurations, design decisions, and standard support processes.

• Lead Cloud Migration: Spearhead the migration of workloads from AWS to Azure using an AKS-first (Azure Kubernetes Service) model. • Infrastructure as Code: Design and implement robust IaC for Azure environments. • Pipeline Standardization: Migrate, optimize, and standardize CI/CD pipelines. • Architecture Modernization: Refactor legacy infrastructure into cloud-native Azure architectures. • Risk Mitigation: Ensure minimal disruption during migration by designing efficient downtime and rollback plans. • Environment Optimization: Continuously optimize cloud environments for cost, performance, and scalability. • Cross-Functional Collaboration: Partner with engineering teams to modernize deployment workflows. • Documentation: Document migration patterns and create reusable templates for the broader team.

• Drive AI-Driven Automation: Design, implement, and experiment with cutting-edge workflows that apply AI/LLMs to automate complex DevOps operations, reducing human intervention and operational friction. • Architect Scalable Cloud Infrastructure: Oversee and optimize robust infrastructure solutions within Azure, ensuring top-tier performance, security, and monitoring. • Define CI/CD & IaC Strategy: Champion best-in-class Infrastructure as Code (IaC) and continuous integration/deployment strategies to enable seamless, reliable software delivery. • Act as a Strategic Technical Advisor: Influence architectural decisions and system design without needing direct authority, fostering a strong culture of research and innovation. • Enhance System Reliability & Observability: Participate in deep architectural reviews, code reviews, and system design sessions to ensure high availability and cost-efficiency.