Senior Software Engineer - AWS

We are seeking a highly skilled and experienced Senior Software Engineer - AWS to design, build, integrate, and support the AWS services that power customer-facing digital experiences across Agilent.com and the connected Agilent ecosystem. This role will work within a product-oriented POD to build serverless AWS ETL services, database services, APIs, product data cache capabilities, and integration patterns that support platforms such as Adobe Experience Manager (AEM), Product Information Management (PIM), Coveo Search, and related digital experience capabilities. The engineer will play a key role in supporting the product data cache in AWS that powers product data services needed by Agilent.com experiences, ensuring product information is reliable, performant, scalable, secure, and available for customer-facing journeys. The engineer will also ensure that data, content, product, search, and customer experience services are reliable, scalable, secure, observable, and optimized for business-critical use cases. Strong hands-on experience with AWS serverless architectures, API development, data pipelines, Graph APIs, and graph database capabilities on AWS is essential. 

This role currently follows a hybrid work model. Work arrangements may evolve based on future business needs.

• →Work within a cross-functional POD to deliver AWS services that support customer-facing experiences across Agilent.com, AEM, PIM, Coveo Search, eCommerce, content discovery, and the connected digital ecosystem.
• →Design, build, and support serverless AWS ETL services that extract, transform, enrich, normalize, and deliver product, content, search, and customer experience data to downstream platforms.
• →Support and enhance the product data cache in AWS that powers product data services consumed by Agilent.com experiences, enabling fast, reliable, and scalable access to product information across customer-facing journeys.
• →Build scalable AWS-based APIs and integration services that connect AEM, PIM, Coveo Search, commerce, analytics, and other digital platforms to support customer journeys and business outcomes.
• →Develop event-driven and serverless solutions using AWS services such as Lambda, API Gateway, Step Functions, EventBridge, S3, Glue, DynamoDB, Aurora, RDS, CloudWatch, IAM, and related services.
• →Design and maintain data pipelines that support structured and unstructured data movement for product information, content metadata, search ingestion, customer experience personalization, and platform synchronization.
• →Build and support database services on AWS, including relational, NoSQL, and graph-oriented data models needed to power digital experience, search, content, and product data use cases.
• →Develop and integrate Graph APIs and graph database solutions on AWS to enable relationship-driven use cases across products, content, assets, customer journeys, recommendations, and search relevance.
• →Configure and support CDN capabilities using Akamai, Wangsu, or similar platforms, including origin setup, cache behavior, caching rules, cache invalidation, routing, and performance optimization for customer-facing digital services.
• →Partner with AEM, PIM, Coveo, commerce, data engineering, analytics, DevOps, security, and architecture teams to ensure AWS services are well integrated, secure, resilient, and production ready.
• →Implement observability, monitoring, alerting, logging, performance tuning, and operational support patterns for mission-critical services that impact customer-facing digital experiences.
• →Apply secure engineering practices including IAM controls, encryption, API security, secrets management, data access controls, least-privilege design, and compliance-aligned cloud patterns.
• →Contribute to agile delivery, backlog refinement, technical design, estimation, code reviews, automated testing, CI/CD pipelines, release readiness, and continuous improvement within the POD.
• →Continuously improve AWS platform patterns that enable faster delivery, better reliability, higher reuse, and measurable customer experience outcomes across Agilent’s digital channels.

• Bachelor’s or master’s degree in computer science, Engineering, Information Systems, Data Engineering, or equivalent practical experience.
• 6+ years of relevant software engineering experience building cloud-native applications, APIs, data services, integration services, or enterprise digital platform capabilities.
• Strong hands-on experience designing and building AWS serverless solutions using services such as Lambda, API Gateway, Step Functions, Event Bridge, S3, Glue, DynamoDB, Aurora, RDS, CloudWatch, IAM, and related AWS services.
• Experience building AWS ETL services and data pipelines for ingestion, transformation, enrichment, validation, orchestration, scheduling, monitoring, error handling, replay, and production support.
• Strong API development experience, including REST APIs, Graph APIs, API lifecycle management, authentication, authorization, throttling, error handling, versioning, and performance optimization.
• Hands-on experience with AWS database services and data modeling patterns across relational, NoSQL, and graph-oriented workloads.
• Experience with Graph API and graph database concepts on AWS, including relationship modeling, graph queries, connected data patterns, and graph-powered customer experience or search use cases.
• Experience integrating AWS services with digital experience platforms such as Adobe Experience Manager (AEM), Product Information Management (PIM), Coveo Search, eCommerce platforms, content platforms, or customer-facing web applications.
• Experience configuring and supporting CDN platforms such as Akamai, Wangsu, or similar services, including origin configuration, cache rules, TTLs, invalidation/purge processes, routing behavior, and caching strategies for customer-facing web applications and APIs.
• Experience designing, supporting, or integrating AWS-based product data cache capabilities or product data services that support customer-facing web, search, content, commerce, or digital experience platforms.
• Must have strong hands-on programming experience in either Node.js or Python for building APIs, ETL services, automation, backend services, and cloud-native AWS integrations.
• Solid understanding of event-driven architecture, microservices, asynchronous processing, message-based integration, serverless design patterns, data quality, and scalable cloud operations.
• Experience with CI/CD, infrastructure as code, automated testing, observability, logging, monitoring, performance tuning, incident response, and production support for cloud services.
• Strong understanding of security practices for cloud-native services, including IAM, secrets management, encryption, network controls, API security, data protection, and least-privilege access.
• Ability to translate platform needs from AEM, PIM, Coveo Search, commerce, data, and business stakeholders into reliable, scalable, and maintainable AWS services.
• Excellent problem-solving skills, analytical mindset, attention to detail, and ability to operate effectively in a product-oriented agile POD.
• Strong communication skills and a collaborative perspective across engineering, architecture, product management, platform operations, security, analytics, and business stakeholders.

• Ability to fully utilize agentic development techniques, including AI-assisted coding, automated test generation, code review support, documentation acceleration, and workflow automation, to improve engineering efficiency, delivery speed, and overall development quality.
• Deep AWS serverless implementation experience across Lambda, API Gateway, Step Functions, EventBridge, Glue, S3, DynamoDB, Aurora, CloudWatch, IAM, and production-grade observability patterns.
• Experience designing Graph API and graph database solutions on AWS, including connected data models that support search relevance, recommendations, content relationships, product relationships, and customer journey use cases.
• Experience building AWS ETL pipelines that support AEM, PIM, Coveo Search, eCommerce, product data, content metadata, entitlement data, and customer-facing digital experience platforms.
• Experience integrating cloud-native services into large-scale B2B eCommerce, customer community, product discovery, technical documentation, support, or enterprise self-service experiences.
• Hands-on experience optimizing CDN configurations for global web performance, origin protection, API caching, content delivery, cache hit ratios, and resilient customer-facing experiences.
• Experience with Azure or Google Cloud Platform (GCP), especially in hybrid or multi-cloud enterprise environments, is a plus.