Manoj Kumar Udaya Kumar

Architecting cloud-native workplace investment solutions on Azure for high-availability financial services delivery, collaborating with infrastructure, SRE, and product teams.

• Re-engineered batch-based legacy report generation to serverless, event-driven Azure Functions, eliminating processing bottlenecks and enabling parallel execution across financial workflows
• Optimised codebase by 50% through refactoring, eliminating duplication, and implementing reusable components across a large Java/Spring Boot platform
• Enhanced integration test suites using Karate framework, improving test reliability and coverage across financial transaction workflows

Drove cloud migration for high-volume telecommunications systems, containerising bare-metal applications and integrating security tooling into CI/CD pipelines across globally distributed infrastructure.

• Integrated security scanning tools (Trivy, Grype, Kubeaudit) into CI/CD pipeline, reducing security vulnerabilities by 90% across production deployments
• Improved application performance by 40% through memory optimisation, JVM tuning, and profiling on high-throughput telecommunications services
• Reduced software upgrade time by 50% by decoupling hard dependencies and streamlining container-based deployment processes

Led cloud migration and architecture initiatives for enterprise content delivery systems, including the largest database migration in company history.

• Orchestrated migration of 200M+ database records from MySQL NDB Cluster to AWS Aurora with zero downtime using a phased CDC approach
• Designed application architecture ensuring 99.9% uptime for high-availability systems serving enterprise clients globally
• Drove cybersecurity compliance and delivered executive stakeholder reporting across a multi-phase, multi-team migration programme

Led cross-functional development teams delivering high-availability solutions for mission-critical financial applications in a regulated environment.

• Mentored a team of 8+ developers, conducting performance reviews, establishing development plans, and driving measurable technical growth
• Managed complete SDLC across multiple concurrent projects, implementing process improvements that reduced delivery time by 30%
• Collaborated with Product Management to establish and deliver roadmaps aligned with regulatory and business requirements

Client: PROS, USA — Developed the Price Optimizer suite using big data analytics and machine learning for real-time price forecasting across retail clients.

• Designed and implemented AI-driven pricing algorithms for the Price Optimizer suite, enabling real-time price forecasting and reducing manual pricing decisions for retail clients
• Automated testing scenarios using Python, Sikuli, and Robot Framework, reducing manual testing effort by 70%

Client: HMH – Houghton Mifflin Harcourt (Dublin), a global e-learning publisher — Collaborated in agile teams building enterprise-grade Java platforms including DLM and WriteSource (LMS platforms) and HMOF.

• Built and maintained core modules across three e-learning platforms (DLM, WriteSource, HMOF), delivering BI dashboards and automated reports used in stakeholder decision-making across global client operations