DevOps Engineer

• Design, create, and maintain software and systems to improve service availability, scalability, and efficiency
• Set the architectural direction of infrastructure and platform services
• Design and implement tools and processes for deployment, change, service, and infrastructure management
• Troubleshoot and debug critical systems throughout the SDLC
• Contribute to the evolution and performance of engineering platform capabilities
• Perform capacity planning and demand forecasting
• Participate in rotating on-call duties
• Collaborate with product development, developer experience, backend infrastructure, Engineering, and Applied Science teams

Senior Software Engineer, Site Reliability Engineering

• Design and implement resilient, scalable, and observable processes and infrastructure used across client implementations of the software
• Secure networks, applications, and data
• Provide production monitoring and support for client systems
• Design, deploy, and maintain Elastic-based logging, monitoring, and alerting solutions
• Design and implement automation tools for testing, monitoring, and reporting
• Design and implement integrations within CI/CD pipelines
• Build security controls into Engineering and DevOps pipelines, including build automation and configuration management
• Participate in code and design reviews
• Understand and advocate for the OWASP Top 10, industry best practices, and secure coding principles
• Work with clients on infrastructure and scaling requirements
• Review and assess client deployments for potential security, scaling, and reliability issues
• Routinely conduct, review, and resolve findings from penetration and vulnerability assessments
• Review the security posture of new product integrations
• Assist with company compliance objectives
• Interact with stakeholders across Engineering, QA, DevOps, Operations, and Product Management

Senior DevOps Engineer

• Work closely with clients and workstream leads to understand business, functional, technical, and implementation requirements
• Set up and manage the Azure DevOps platform
• Design and implement CI/CD pipelines on on-premises and Azure cloud platforms
• Set up CI/CD pipelines for Java, .Net, SQL, data platform, and Power Platform technologies
• Integrate security tools such as SonarCloud, Veracode, and Fortify into CI/CD pipelines
• Write automation scripts using Bash, PowerShell, Python, Azure CLI, and cloud or third-party APIs
• Automate infrastructure provisioning using Terraform or Bicep
• Use tools to orchestrate solutions
• Develop APIs and cloud-native Azure solutions using Logic Apps, Azure Functions, Azure APIM, and Azure Kubernetes Services
• Research new products/tools and perform rapid prototyping
• Foster teamwork, lead by example, and participate in organization-wide people initiatives
• Support EY Digital Engineering’s client digital transformation initiatives across strategy, technical design, and transformation planning

Senior Azure Cloud Engineer, DevOps

• Own and continuously improve cloud infrastructure and platform capabilities supporting applications, data systems, and engineering teams
• Identify opportunities to improve reliability, scalability, security, performance, cost efficiency, developer experience, and operational effectiveness
• Design, build, and maintain secure, scalable cloud infrastructure using Infrastructure as Code and cloud-native practices
• Build automation, self-service capabilities, reusable infrastructure patterns, and platform tooling to eliminate repetitive operational work
• Improve Kubernetes and container-based infrastructure for standardized and reliable deployment, scaling, recovery, and operations
• Own and evolve CI/CD and GitOps workflows
• Partner with Software Engineers, Product Engineers, Analytics Engineers, and other Technology teams to build platform solutions
• Improve observability through monitoring, logging, tracing, alerting, dashboards, and actionable service health indicators
• Lead technical investigations during complex production incidents and drive systemic improvements
• Improve resilience, disaster recovery, backup strategies, security controls, access management, and infrastructure risk
• Evaluate infrastructure and architecture for cost efficiency and reduce unnecessary spend
• Apply AI-assisted engineering to infrastructure development, troubleshooting, root-cause analysis, automation, documentation, and operational workflows
• Contribute to architectural decisions and long-term platform strategy
• Define, document, and champion engineering standards, operational practices, reusable patterns, and platform capabilities
• Mentor engineers and raise standards for infrastructure ownership, automation, reliability, and operational excellence