Cloud App Modernization Practice Lead

Cloud App Modernization Practice Lead Organization: Amdocs Cloud Studios Location: India, Pune Reports to: Head of Cloud Studios CoE and Global Delivery Role Summary As the Cloud App Modernization Practice Lead , you will architect, drive, and execute the end-to-end modernization of enterprise applications, transforming legacy and monolithic systems into scalable, resilient, and cloud-native solutions. You will define and evolve frameworks, methodologies, and reusable assets that enable squads to deliver modernization projects efficiently and at scale. Your leadership ensures that modernization is not just a technical upgrade, but a business value accelerator. Key Responsibilities Define and execute the strategic roadmap for the App Modernization practice, ensuring alignment with business goals, market trends, and client needs. Drive business growth by shaping solutions, supporting strategic deals, and providing subject matter expertise in client engagements. Oversee delivery excellence for large-scale modernization projects, ensuring best-in-class standards, quality, and client satisfaction. Develop and maintain a portfolio of reusable assets, accelerators, and methodologies that differentiate the practice in the market. Own the app modernization strategy and reference implementation roadmap, including frameworks for 12-factor app assessment, monolith decomposition, and cloud-native enablement. Define and maintain modernization assessment templates (e.g., 12-factor, cloud readiness, technical debt analysis), automation tools, and best-practice runbooks. Establish standards and review processes for modernization patterns: re-platforming, re-architecting, refactoring, containerization, and serverless adoption. Develop and curate blueprints and accelerators for: Monolith-to-microservices decomposition (e.g., Strangler Fig, domain-driven design) Code conversion and refactoring (e.g., .NET to .NET Core, Java upgrades, API modernization) Cloud-native frameworks (Spring Boot, Node.js, .NET Core, etc.) Containerization (Docker, Kubernetes, OpenShift) Service mesh and event-driven architectures Lead the creation of automated code analysis and assessment tools (e.g., CAST, SonarQube) to identify modernization opportunities and technical debt. Deliver technical briefings and workshops to customer executives, articulating modernization value, technical roadmaps, and transformation outcomes. Design and oversee multi-phase modernization workflows : discovery, assessment, planning, code conversion, refactoring, containerization, validation, and cutover. Guide teams in automated code conversion and remediation , leveraging tools and accelerators for language/platform upgrades. Define and enforce cloud-native design principles : statelessness, API-first, configuration management, CI/CD, observability, and resilience. Drive adoption of DevSecOps pipelines , shift-left testing, and continuous delivery for modernized workloads. Ensure observability by design : implement logging, distributed tracing, and monitoring for all modernized applications. Lead risk assessment and mitigation for modernization projects, including compliance with security, privacy, and regulatory requirements. Standardize validation schemas and rollback patterns for safe modernization, including blue/green and canary deployments. Own the quality assurance framework : Automated unit, integration, and regression testing for modernized code Performance, reliability, and security metrics for cloud-native workloads Set governance policies for change management, approvals, and incident response in modernization programs. Collaborate with Cloud Migration, Data Modernization, and Security teams for integrated, end-to-end transformation solutions. Technical Skills Required Software Development Expertise: 15+ years of hands-on experience in software engineering , with deep proficiency in modern programming languages such as Java, C#, Python, Go, or Node.js. Strong understanding of software architecture patterns, including domain-driven design, event-driven architectures, and API-first development . Cloud-Native & Modernization Technologies: Mastery of containerization technologies: Docker: Building, managing, and securing container images; optimizing Dockerfiles for production workloads. Kubernetes: Advanced deployment, scaling, rolling updates, Helm chart authoring, operator patterns, and troubleshooting in production clusters. OpenShift: Enterprise Kubernetes management, multi-tenancy, CI/CD integration, and security controls. Familiarity with other platforms: AWS ECS/EKS, Azure AKS, Google GKE, VMware Tanzu. Experience with service mesh technologies (e.g., Istio, Linkerd ) for traffic management, security, and observability in microservices environments . Deep knowledge of cloud-native frameworks: Spring Boot, .NET Core, Node.js, Quarkus, Micronaut, etc. Proficiency in serverless architectures (AWS Lambda, Azure Functions, Google Cloud Functions) and event-driven patterns . App Modernization & Assessment: Expertise in 12-factor app assessment and remediation, including configuration management, stateless design, and environment parity. Experience in monolith-to-microservices decomposition , using patterns like Strangler Fig, domain-driven design, and event sourcing. Hands-on experience with automated code analysis and refactoring tools (e.g., CAST, SonarQube, Resharper). Code conversion and modernization : legacy to modern frameworks, language upgrades, and API modernization. DevSecOps & Automation: Building and managing CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, GitLab CI). Infrastructure as Code (Terraform, ARM, CloudFormation, Pulumi). Automated testing (unit, integration, regression), shift-left security, and continuous delivery practices. Observability & Operations: Implementing logging, distributed tracing, and monitoring using tools like Prometheus, Grafana, ELK/EFK stack, Jaeger, or OpenTelemetry. Performance tuning, troubleshooting, and optimizing cloud-native workloads. Security & Compliance: Deep understanding of cloud security best practices, IAM, encryption, and regulatory compliance (GDPR, HIPAA, PCI-DSS). Experience with vulnerability scanning, container security, and policy enforcement in Kubernetes/OpenShift environments. Consulting & Leadership: Ability to translate complex technical concepts into clear, actionable strategies for clients and internal teams. Experience leading technical teams, mentoring engineers, and driving adoption of modern engineering practices. Nice-to-Have Background in data modernization or cloud security. Certifications in major cloud platforms (AWS, Azure, GCP). Experience developing or contributing to open-source modernization tools or frameworks.