What does a Forward Deployed Engineer do at JDA TSG?

Forward Deployed Engineers at JDA TSG are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Azure Cloud and AI App Innovation Customer Engineer role?

The Azure Cloud and AI App Innovation Customer Engineer role at JDA TSG typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at JDA TSG remote?

Remote availability varies by JDA TSG FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

JDA TSG

Azure Cloud and AI App Innovation Customer Engineer

$95K - $110K Remote Mid Posted May 15, 2026

Position filled. This role is no longer accepting applications. Browse current FDE openings below.

No longer accepting applications All FDE Jobs

Role Description

Overview:

We have immediate opportunities for an Azure Platforms - App Service; APIM; Microservices Architecture Expert who lives and breathes Cloud and AI - App Innovation in Azure, cloud-native architecture, and DevOps excellence to join our growing Customer Engineer (CE) team This role centers on helping small, medium and enterprise customers build, deploy, and scale applications using Azure App Services, API Management, microservices, and container platforms like AKS and Azure Container Apps (ACA). You’ll also guide development teams in integrating AI-driven productivity tools like GitHub Copilot while shaping secure and efficient CI/CD workflows in GitHub and Azure DevOps environments. This is a highly strategic and technical role, where you’ll collaborate with customer leadership, architects, and developers to unlock business agility and innovation through modern cloud-native practices. What You Will Do: * Guide customers through the design and deployment of modern application architectures on Azure using App Services, APIM, and microservices. * Help teams adopt DevOps best practices with GitHub and Azure DevOps, optimizing pipelines for scalability, security, and automation. * Enable containerization strategies using Docker, Azure Kubernetes Service (AKS), and Azure Container Apps (ACA) for elastic, resilient services. * Integrate GitHub Copilot to accelerate development cycles, improve code quality, and drive AI-assisted developer workflows. * Assist with API strategy and management, leveraging Azure API Management (APIM) for secure and scalable exposure of services. * Provide architectural guidance and hands-on support during cloud-native transformations and app re-platforming efforts. * Own technical governance across engagements, ensuring alignment with Microsoft best practices and enterprise scalability needs. * Collaborate cross-functionally to remove technical blockers and deliver on high-impact modernization initiatives.

Who You Are: Key Skills & Technologies:* Azure Application Services: App Services, APIM, Logic Apps, Azure Functions (preferred). * Architecture & Dev Practices: Microservices, 12-Factor App principles, Domain-Driven Design (DDD), RESTful API design. * Containers & Orchestration: Docker, AKS (Azure Kubernetes Service), ACA (Azure Container Apps), Helm. * DevOps & CI/CD: GitHub Actions, Azure DevOps, YAML pipelines * AI-Enhanced Dev: GitHub Copilot integration, secure AI-assisted development, and coding at scale. * Security & Governance: Azure RBAC, workload identity, managed identities, secrets management. * Infrastructure as Code (IAC): Terraform and/or Bicep

Ideal Candidate Will Have:* 10- 15+ years in software engineering or cloud architecture roles, with a focus on Azure Platform, Azure Application Services, Architecture & Dev Practices, DevOps & CI/CD and Security & Governance. * Must have experience with Terraform and/or Bicep * Proven experience modernizing monolithic apps into Microservices and/or container-based architectures. * Hands-on knowledge of GitHub, Azure DevOps, and CI/CD pipeline engineering. * Strong customer engagement skills, including the ability to present to both technical and business stakeholders. * Experience delivering cloud-native solutions across the entire app lifecycle—from architecture and DevOps to scaling and support.

What We Offer:

Since 2011, JDA TSG's mission has remained the same: to partner with clients helping to solve the toughest problems facing their businesses. We have been successful by applying a dynamic and forward-facing approach to business process improvement, outsourced managed services, best leveraging of technologies and talent solutions. Our core values provide the framework that allows us to continually focus on what made us successful in the first place. Quite simply, our values inform everything that we do. We knew from day one that if we hired smart, passionate people and provided them meaningful yet challenging roles, we would thrive as an organization. Posted Salary Range: USD $95,000.00 - USD $110,000.00 /Yr.

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.