Lead the technical delivery of complex, cloud‑native and AI‑enabled engagements, contributing as a hands‑on individual contributor and, where required, leading engineering teams to ensure high‑quality, predictable outcomes. Applies user‑centered design principles to translate customer needs into clear technical requirements and scalable solution designs through iterative prototyping and feedback. Provide delivery leadership by setting technical priorities, estimating effort, managing dependencies, making disciplined trade‑offs, and driving successful releases. Ensure engineering excellence and solution quality, with accountability for the overall efficacy, performance, security, and compliance of technical delivery within assigned engagements. Identify, assess, and manage technical risks and dependencies across projects, including defining mitigation strategies, handling escalations, and planning for both short‑ and long‑term delivery risks. Drive innovation and digital transformation, leveraging existing intellectual property (IP), reusable assets, and best practices to improve delivery predictability and speed. Contribute to thought leadership and continuous improvement, fostering new ways of working that enhance engineering productivity, solution quality, and responsiveness to evolving customer needs. Strong expertise in security‑by‑design principles, including encryption, authentication and authorization (AuthN/AuthZ). Deep knowledge of Zero Trust architecture, IAM, secure‑by‑default design, threat modeling, compliance standards, and DevSecOps practices. Hands‑on experience with least‑privilege access, assume‑breach concepts, micro‑segmentation, continuous monitoring, SAST/DAST, and secure CI/CD pipelines. 10+ years of overall professional experience in software engineering, application development, and solution delivery, with a strong focus on enterprise‑scale, customer‑facing engagements. 5+ years of experience in customer‑facing delivery leadership Bachelor's degree in computer science engineering, or a related field. Advanced or higher‑education qualifications are a plus. AI‑102 (Designing and Implementing an Azure AI Solution), MCSD / MCSE or equivalent modern cloud and AI certifications. Full‑Stack Application Development Strong experience designing, building, and deploying business‑ and mission‑critical applications using .NET (C#), .NET Web APIs, Node.js. Full‑stack development expertise across UI, API, service, domain, data, and integration layers, with proficiency in C#, JavaScript, TypeScript, Angular or React, HTML5, and CSS/SCSS. Deep understanding of software architecture patterns and anti‑patterns for large‑scale systems, including MVC, CQRS, and Saga, with a focus on performance, scalability, and resiliency. Excellent foundation in software engineering principles, data structures, algorithms, testing, debugging, and analytical problem‑solving. Proficiency with cloud data platforms including Azure SQL, Cosmos DB, Azure Database for PostgreSQL, MySQL, Azure SQL Managed Instance, and MariaDB. Experience creating reusable application frameworks and shared components that address cross‑cutting concerns such as logging, security, resiliency, and configuration management. Hands‑on experience with multi‑threaded and parallel programming and high‑throughput service design. Proven experience delivering large‑scale digital transformation initiatives, including cloud migration and hybrid modernization programs. Brings architectural breadth through exposure to open‑source technologies and platforms. Has good exposure to Azure/AWS/GCP, along with industry experience across domains such as financial services, government, healthcare, manufacturing, and retail/supply chain. Customer Co-Innovation Mindset & Customer Enablement Lead rapid prototyping, pilots, and early-stage production deployments for enterprise customers, accelerating time-to-value Translate from whiteboard to production with minimal friction, engineering alongside customer teams to unblock delivery and adoption Own troubleshooting across performance, reliability, cost, security, and data quality, delivering outcome-driven engineering in ambiguous, high-pressure environments
