Naveen Kumar Shukla

• Enhanced system performance availability and reliability, driving customer retention and adoption growth.
• Spearheaded cost optimisation initiatives across compute and storage systems by implementing architectural enhancements in high-throughput environments.
• Delivered high-impact analytics features, including scheduled query notifications, to ensure automated insights delivery at a million transactions per second scale.
• Facilitated advanced query capabilities through parameterised queries, joins, and subqueries in CloudWatch Insights to empower strategic customers with complex analytics solutions.
• Championed customer-centric product development by engaging enterprise customers, identifying pain points, and incorporating early feedback through feature previews and demos.
• Executed cross-functional strategies across query engine storage and platform teams to align technical direction and deliver roadmap commitments at scale.

• Led and scaled a 20+ member engineering organisation within Amazon Web Services to enhance critical components of AWS Aurora storage systems.
• Achieved multi-million pound capex savings through strategic architectural optimisations, enhanced storage efficiency, and cross-region resource rationalisation.
• Spearheaded end-to-end availability improvements for Aurora by leading multi-team, multi-geo initiatives, enhancing system resilience and minimising failure impact.
• Established and institutionalised chaos engineering practices across Aurora storage, leading gamedays and failure simulations to enhance fault tolerance and incident readiness.
• Accelerated development velocity from months to under 14 days for control plane and storage systems by re-architecting workflows, enhancing CI/CD pipelines, and removing process bottlenecks without compromising quality.
• Championed cross-functional collaboration among global storage control plane and infrastructure teams to align strategic roadmaps and drive execution of high-impact initiatives.
• Mentored engineering leaders and senior engineers to enhance organisational capability and strengthen succession pipeline.

Assisted teams in developing software solutions for customer experience enhancements.
Supported cross-departmental collaboration to streamline project workflows.
Contributed to bug fixing and troubleshooting efforts to improve application performance.

• Spearheaded development of customer-facing experiences, enhancing delivery processes for Amazon Fresh to optimise order visibility and elevate customer satisfaction.
• Delivered key systems for pharmacy launch in India, establishing robust capabilities to support regulated product workflows and enhance customer journeys.
• Enhanced customer experience reliability and adoption across retail services through innovative strategies and solutions.

Designed and implemented software solutions to enhance system performance and user experience.

Optimised CloudFront edge compute solutions for enhanced content delivery performance.

• Spearheaded development and launch of Lambda@Edge on Amazon CloudFront, guiding product from inception through preview to general availability.
• Enhanced system design reliability and developer experience for global edge deployments.
• Optimised distributed edge architecture to enable low-latency execution across global CDN locations.

Assisted teams in developing software solutions for the seller experience platform.
Supported project tasks to ensure timely delivery of features.
Collaborated with cross-functional teams to address technical challenges.

• Developed enhanced seller platform systems to optimise invoicing and inbound inventory workflows.
• Optimised core marketplace systems to enhance seller onboarding and streamline inventory flows at scale.

• Enhanced feature set on Tizen OS.

• Engineered server-side components for the Corona content intelligence platform, ensuring seamless data importation and processing of both structured and unstructured content.
• Optimised data onboarding workflows to enhance efficiency and facilitate downstream analytics use cases.
• Optimised backend systems through effective data processing pipelines and service-oriented architecture.