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Mid-level, generalist cloud role with broad AWS requirements increases candidate competition.
Core cloud, serverless, API, and ETL skills are transferable across industries but with moderate platform-specific bias.
Explicit 6+ years plus mandatory AWS, Node.js/Python, and integration skills makes shortlisting stringent.
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Design, build, and support serverless AWS ETL services, APIs, and product data cache capabilities that enable scalable, reliable, and secure customer-facing digital experiences across platforms like Agilent.com, AEM, PIM, and Coveo Search.
Develop and maintain AWS-based database services (relational, NoSQL, graph) and Graph APIs to support product, content, search, and customer journey data needs.
Implement observability, security (IAM, encryption, API security), and operational support for AWS cloud-native services within a product-oriented agile POD.
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, or enterprise digital platforms.
Strong hands-on experience with AWS serverless architectures and services including Lambda, API Gateway, Step Functions, EventBridge, S3, Glue, DynamoDB, Aurora, RDS, CloudWatch, IAM.
Mandatory skills in AWS ETL/data pipelines, API development (REST and Graph APIs), AWS database services (relational, NoSQL, graph), and programming in Node.js or Python.
Experienced in designing and delivering highly scalable, secure, and performant AWS serverless solutions supporting complex digital ecosystems with multiple integrated platforms.
Hands-on expertise in graph database and Graph API development for relationship-driven digital experience use cases, along with deep AWS ETL pipelines supporting digital content and commerce platforms.
Familiarity with CDN configuration and optimization (e.g., Akamai), and well-versed in operating within a cross-functional, product-oriented agile POD environment focusing on cloud-native services delivery.