Middleware Technical Product Manager – Java, GCP & SAP Integration

Responsibilities

Lead Middleware Delivery and Supplier Engineering

• Lead the delivery of production-grade Java and Spring Boot microservices deployed on GCP Cloud Run.
• Provide technical direction and oversight to supplier engineering teams throughout design, development, testing, deployment, and transition to operations.
• Review and approve technical specifications, application builds, test results, deployment plans, operational documentation, and knowledge-transfer deliverables.
• Ensure solutions meet defined acceptance criteria and standards for scalability, resilience, maintainability, performance, and security.

Own Technical Design

• Architect middleware interfaces connecting legacy platforms, cloud services, and SAP S/4HANA.
• Define API contracts, synchronous and asynchronous integration patterns, data-transformation logic, and validation rules.
• Make and document key technical design decisions in partnership with enterprise and solution architects.

Develop Cloud-Native Applications

• Design and develop robust, scalable middleware applications using Java, Spring Boot, and related technologies.
• Build cloud-native REST APIs and microservices using modern application-development practices.
• Provide hands-on technical leadership through design reviews, code reviews, troubleshooting, and engineering guidance.

Integrate Enterprise Systems

• Design secure integrations using Apigee API Management, Microsoft Entra ID authentication, PostgreSQL, and appropriate GCP services.
• Implement capabilities for staging, auditing, monitoring, and tracking integration data flows.
• Ensure APIs and integrations comply with applicable enterprise security controls and API standards.

Engineer for Reliability

• Design resilient and recoverable integration services using patterns such as idempotency, automated retries, exception handling, and controlled data reprocessing.
• Establish comprehensive logging, monitoring, tracing, alerting, and error-management capabilities.
• Support production readiness, incident management, root-cause analysis, and continuous reliability improvements.

Map and Transform Data

• Define transformation logic for converting legacy-system data into SAP-compatible formats.
• Develop field mappings, data validation, enrichment, and payload-construction rules.
• Partner with SAP and business teams to confirm data definitions and integration requirements.

Apply AI Across the Software Development Lifecycle

• Use AI-assisted engineering tools and practices to improve productivity across requirements, design, development, testing, documentation, and troubleshooting.
• Ensure AI-assisted development continues to meet established quality, privacy, security, and compliance requirements.
• Identify opportunities to use large language models (LLMs), AI agents, and related technologies to improve engineering workflows.

Champion Engineering Excellence

• Promote Test-Driven Development (TDD), automated testing, secure coding, peer reviews, and continuous integration/continuous deployment (CI/CD).
• Drive engineering quality through automated quality gates and repeatable deployment practices.
• Encourage Infrastructure as Code (IaC) and automated environment provisioning.

Collaborate and Mentor

• Partner with SAP, architecture, product, security, engineering, and business teams to translate requirements into reliable technical solutions.
• Mentor engineering teams on GCP, Java/Spring Boot, API design, integration architecture, and operational excellence.
• Communicate technical decisions, dependencies, risks, and trade-offs clearly to both technical and non-technical stakeholders.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 10+ years of software engineering experience using Java.
• 5+ years of hands-on experience with Spring Boot and related technologies.
• 3+ years of experience designing and implementing cloud-native REST APIs.
• Experience publishing and managing APIs through Apigee or a comparable enterprise API management platform.
• 3+ years of experience with Google Cloud Platform services such as Cloud Run, Cloud Run Jobs, Cloud Scheduler, Pub/Sub, and Cloud Monitoring, or equivalent experience with another major cloud platform.
• Experience designing and maintaining CI/CD pipelines.
• Experience using Terraform or comparable Infrastructure as Code technology.
• Experience with cloud observability, application monitoring, production support, and incident-management practices.
• Demonstrated experience designing secure, scalable, reliable enterprise integrations.
• Experience providing technical leadership across engineering teams and stakeholders.

Preferred Qualifications

• Master’s degree in Computer Science, Computer Engineering, or a related technical field.
• Experience with front-end frameworks such as Angular.
• Experience with Kubernetes or managed container orchestration platforms such as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS).
• Experience with event-streaming or messaging platforms such as Apache Kafka.
• Experience integrating legacy or mainframe systems with enterprise resource planning platforms such as SAP S/4HANA.
• Experience using AI-assisted software-development tools across the software development lifecycle.
• Familiarity with large language models (LLMs), agentic AI frameworks, AI development tools, and Model Context Protocol (MCP).
• Experience providing technical oversight for supplier or partner engineering teams.