• Design and implement CI/CD pipelines for both general applications and machine learning workflows • Build and maintain scalable infrastructure using containerization (Docker, Kubernetes) and infrastructure-as-code tools • Manage and optimize cloud-based environments across AWS, GCP, or Azure • Deploy, monitor, and maintain machine learning models and pipelines in production environments • Establish and improve monitoring, logging, and alerting systems for application and ML infrastructure health • Automate deployment, scaling, and operational tasks to reduce manual overhead and improve reliability • Collaborate with software engineers and data scientists to understand deployment requirements and optimize system architecture • Ensure security, performance, and reliability across infrastructure and application layers • Troubleshoot and resolve infrastructure, deployment, and operational issues • Maintain documentation and best practices for infrastructure and deployment processes

• Lead the design, governance, and evolution of enterprise cloud architecture within a federal environment • Define cloud architecture standards and guide DevOps teams • Ensure Azure environments are designed for scalability, resilience, security, and compliance • Collaborate closely with engineering teams and government stakeholders • Design and oversee highly available, secure, and scalable Azure architectures • Define enterprise Azure reference architectures, patterns, and best practices • Establish architectural guidance for Azure identity, governance, policy enforcement, and monitoring frameworks • Guide DevOps teams in implementing automated CI/CD pipelines • Lead architecture planning for migration of on-premises workloads to Azure • Ensure architecture aligns with federal security and compliance requirements

• Partner with Customers to Drive Transformation • Act as a trusted advisor to customers, helping them define and execute their software delivery, platform engineering, and AI adoption strategies. • Collaborate with engineering leaders, platform teams, and executives to align technology initiatives with business outcomes. • Assess current software delivery capabilities and develop transformation roadmaps that improve developer productivity, security, governance, and operational efficiency. • Design and recommend modern DevSecOps, Platform Engineering, and AI-enabled delivery architectures that accelerate innovation at scale. • Lead discovery workshops, architecture reviews, and strategic advisory engagements with customer stakeholders. • Build proofs of concept, reference architectures, and pilot programs that validate new approaches and demonstrate measurable value. • Guide customers in adopting emerging practices such as AI-assisted development, agentic workflows, intelligent automation, and software delivery optimization. • Influence customer adoption and success plans to maximize long-term value from CloudBees solutions and services. • Serve as the voice of the customer within CloudBees, helping shape product strategy, roadmap priorities, and future platform capabilities. • Communicate effectively with audiences ranging from hands-on engineers to executive leadership teams. • Travel occasionally for customer workshops, strategic planning sessions, and company events.

• Automate application build processes through Azure DevOps and GitLab CI/CD pipelines • Lead and manage CI/CD pipeline development to improve deployment speed, reliability, and quality. • Troubleshoot Applications and Infrastructure resources hosted in Google. • Design and Implement resilient Infrastructure as Code for the Cloud, using Automation Tools like Terraform, Bicep, Ansible. • Manage cloud-based infrastructure and services, focusing on efficiency and scalability. • Implement and support front-end web configurations using solutions such as Front Door, Application Gateway , WAF. • Automate deployment of Application Code using DevOps YAML pipelines. • Implement security best practices, including access controls, encryption, and vulnerability scanning, to protect company data and systems • Work in an Agile environment to support individuals on proper DevOps practices. • Support development and data services teams in technical questions of continuous integration/continuous delivery, delivery organizations. • Provide technical support to development and data services teams regarding continuous integration and continuous delivery best practices and processes • Mentor and support junior DevOps engineers, promoting a culture of continuous improvement and collaboration