Senior Engineering Manager (CMS)

About the position

About Client: We are a leading Digital Experience Software and Services company dedicated to providing comprehensive solutions across all touch points that enhance customer engagement and drive business growth. We are on a mission to pioneer the distribution and visibility of content with an innovative platform that drives discovery, personalized experiences, and conversions powered by data and AI. We pride ourselves on our collaborative culture and commitment to excellence in everything we do, and we are certified as a Great Place to Work. Problems We Area looking to Solve Scaling our CMS platform to support next-generation AI-driven personalization and content intelligence. Modernizing legacy components into cloud-native, microservices-based architecture. Improving performance, security, availability, and multi-tenant scalability. Increasing engineering velocity through DevOps maturity, automation, and AI-assisted development. Strengthening engineering leadership and building a globally aligned high-performance culture within our GCC. Key Responsibilities Strategic Vision & Leadership: Own technical strategy and roadmap execution for the Core CMS platform. Drive platform modernization initiatives including microservices transformation and cloud-native architecture. Partner with global engineering and product leadership to align architecture with long-term business strategy. Evaluate and implement AI/LLM capabilities within the CMS ecosystem. Establish Engineering Best Practices, standards, and architectural governance. Operational Excellence & Growth: Deliver predictable, high-quality releases aligned to product roadmap commitments. Champion CI/CD maturity, DevOps automation, and engineering productivity improvements. Improve system observability, monitoring, reliability, and uptime. Lead capacity planning, performance optimization, and cost efficiency initiatives on Azure. Manage technical debt reduction and platform refactoring initiatives. Innovation & Culture: Promote a culture of experimentation, learning, and continuous improvement. Introduce AI-assisted coding tools and engineering automation practices. Drive adoption of secure coding, quality-first development, and automated testing. Encourage innovation through hackathons, design reviews, and architecture forums. Foster accountability, ownership, and outcome-driven execution. Cross-Functional Alignment: Collaborate closely with Product, UX, Data, Security, and Customer Success teams. Partner with US stakeholders to ensure seamless global execution. Translate business requirements into scalable technical solutions. Communicate architectural decisions and trade-offs to executive leadership Customer Impact: Ensure platform reliability, performance, and enterprise-grade security. Drive features that improve customer acquisition, engagement, and conversion outcomes. Support large enterprise implementations and strategic customer initiatives. Contribute to technical discussions with key clients when required. Talent & Empowerment: Recruit, mentor, and retain top engineering talent within the GCC. Build succession plans and develop future engineering leaders. Conduct performance management, coaching, and skill development programs. Create an inclusive, high-trust, high-performance environment. Lead distributed teams with strong collaboration across geographies. Required Experience & Qualifications: 10+ years of software engineering experience with 3+ years in engineering leadership roles. Strong expertise in .NET / .NET Core / ASP.NET, C#, and Python. Proven experience designing distributed, scalable SaaS platforms. Deep understanding of Azure cloud infrastructure and services. Experience with RESTful APIs, microservices, containerization (Docker), and CI/CD pipelines. Strong knowledge of relational (SQL Server, PostgreSQL) and NoSQL databases. Experience working in product-based or SaaS organizations. Demonstrated ability to lead globally distributed teams. Strong stakeholder management and executive communication skills. Key Focus Areas CMS platform scalability and modernization AI/LLM integration into content workflows Engineering productivity acceleration Cloud cost optimization Reliability engineering and observability Talent development within GCC Secure and compliant architecture

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