Cybage FDE - Product Pod

Cybage FDE - Product Pod places a Forward-Deployed Engineer at the center of your product mission, backed by the full depth of Cybage's product, cloud, data, AI, QA, and DevOps capabilities on AWS. This is not staff augmentation; it is a multidisciplinary product engineering team led by a customer-facing engineering leader who owns context and continuity from business problem through production.

The Forward-Deployed Engineer works directly with your product, engineering, and business stakeholders to frame the business problem, understand customer workflows, translate requirements into engineering plans, shape the product backlog, define solution architecture, coordinate engineering execution, resolve ambiguity, and drive production deployment. They connect field requirements to product decisions and accelerate customer feedback loops so your team ships faster with stronger alignment.

A typical Product Pod includes a Forward-Deployed Engineer supported by Product/UX specialists, a Cloud Architect, Data/AI Engineers, Application Engineers, QA Engineers, and DevOps professionals. Together, the pod covers the full product engineering lifecycle: Discover, Define, Architect, Build, Deploy, Operate, and Evolve.

Every Product Pod builds and deploys on AWS. The pod delivers AI features and agents using Amazon Bedrock and Amazon Bedrock AgentCore, runs compute on AWS Lambda, Amazon EKS, Amazon ECS, and AWS Fargate, manages data with Amazon S3, Amazon RDS, and Amazon DynamoDB, monitors with Amazon CloudWatch, and uses AWS Transform for modernization workloads.

Use Cases: • AI-native product development and generative AI applications • Agentic AI solutions and AI feature development • SaaS product development and product modernization • Cloud modernization and platform engineering • Data platform development • Customer-driven roadmap acceleration and complex integrations • MVP-to-production delivery

Key Outcomes: • Faster insight-to-release cycles and reduced organizational handoffs • Increased engineering velocity and faster production deployment • Stronger customer-product alignment through continuous field feedback • Faster customer value realization

Typical engagements run three to six months or longer, scaling with the complexity of your product challenge. The core value proposition is simple: the right engineer, with the right context, backed by full engineering capability, equals faster product value.