• Lead the design and delivery of AI-powered internal tools and systems that enable refurbed to operate as an AI-native company under our AI & Tech Transformation program. • Act as a product-minded senior back-end engineer for internal AI across teams to identify opportunities, architect solutions, and directly build the back-end services and integrations that embed AI and automation into how employees work. • Partner closely with the Head of Internal Technology & AI on strategy, planning, and execution while providing technical leadership to teams, working closely with core platform Engineering for support. • Measure success in this role by productivity improvements, enabling new capabilities, and adoption of AI tools and new ways of working across the company.

• Design / Develop security products with Self-Service portals (UI), security central websites using Angular JS, React JS, Backstage and backed APIs using Java or Python • Develop CI-CD pipelines on Tekton and deploy to GCP cloud. • Work with product managers, SMEs, anchors to create prototypes, perform PoCs • Collaborate with Platform vendors to understand their APIs, integration patterns to automate deployments / manual tasks. • Automate testing using Playwright, postman • Work with various infrastructure and application support teams to provide technical direction and address security issues. • Design, test, and implement security policies for critical Enterprise Infrastructure. • Automate repeatable tasks and workflows to improve process efficiency by developing APIs/scripts and deploying to the cloud. • Implement SRE for Platform services, capabilities/features to achieve availability and reliability. • Secure in-house and public AI and ML/DL/LLM/Agents/MCP systems against cyber threats, adversarial attacks, and data breaches across the solution lifecycle. • Design and implement robust security platforms supporting enterprise security needs (e.g., unified telemetry pipeline like BindPlane, SIEM like QRadar, SecOps, and AI security). • Define and maintain guidelines and controls to secure AI systems, including data protection, model security, and compliance requirements. • Apply established frameworks as references/baselines (e.g., Google Secure AI Framework (SAIF), NIST AI Risk Management Framework, Framework for AI Cybersecurity Practices (FAICP)). • Identify, assess, and mitigate AI-specific security risks (adversarial attacks, data poisoning, model inversion, unauthorized access). • Conduct vulnerability assessments and penetration testing on AI models and data pipelines. • Ensure AI data is encrypted, anonymized, and securely stored. • Implement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust). • Protect AI models from tampering, theft, and adversarial manipulation during training and deployment. • Monitor and log AI system activity for anomalies and security incidents. • Develop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance requirements. • Develop automated workflows and scripts to enhance security platform functionality and scalability, improving operational efficiency. • Manage timely patching and upgrades to security tools and systems to reduce downtime and minimize vulnerabilities. • Configure alerting systems for security threats and enable real-time monitoring for observability.

Develop comprehensive web application solutions, ensuring compliance with architectural standards. Collaborate with teams to define technology architecture, promote best practices, and provide oversight and coaching to team members throughout the...

• Design, develop, and maintain code that ensures application security, performance, and reliability, and monitors system health • Contribute to components of more complex applications • Writing and executing test cases that validate Salesforce configuration, Apex, Lightning Web Components, custom workflows, and integrations with client systems and services • Design, build, and maintain automated test scripts (functional, regression, API, performance, behavioral, and Section 508 accessibility) • Performing accessibility testing against WCAG 2.0/2.1 Level A and AA criteria and Section 508, using both automated scanners and manual assistive-technology validation • Work with APIs, databases, or data pipelines to effectively test data across systems • Integrate test automations into deployment workflows, including CI/CD pipelines and cloud-based environments (e.g. Copado or GitHub Actions) • Contribute to the design and maintenance of the team’s test automation framework using Copado Robotic Testing, Robot Framework, Selenium, or equivalent tools • Support applications and scripts in production, including debugging, monitoring, and issue resolution • Triage defects, analyzing root cause, and partnering with developers to drive resolution; tracking issues in Jira through closure • Author test plans, test cases, test data, and test results that demonstrate traceability between requirements, user stories, and validation outcomes • Generating clear test status reports and dashboards that allow stakeholders at varying levels to assess quality and drill into details when needed • Promote an automation-first culture and contribute to the team’s testing best practices, strategy, and tooling roadmap • Apply agile methodologies to test automation development and contribute to continuous improvement of team processes • Learn and integrate new technologies and skills that support project goals