Product Manager

JOB DESCRIPTION

RESPONSIBILITIES

Lead Middleware Engineering and Delivery

• Lead the design and delivery of production-grade Java and Spring Boot microservices running on Google Cloud Platform.
• Provide technical direction to internal and supplier engineering teams throughout design, development, testing, deployment, and production transition.
• Review technical designs, application builds, code, test results, deployment plans, and operational documentation.
• Ensure solutions meet established standards for scalability, resilience, maintainability, security, and performance.

Own Integration Architecture and Technical Design

• Design middleware interfaces connecting legacy applications, cloud services, and SAP S/4HANA.
• Define REST API contracts, synchronous and asynchronous integration patterns, data transformations, validation rules, and error-handling approaches.
• Document significant architecture and design decisions in partnership with enterprise and solution architects.
• Translate functional and non-functional requirements into actionable engineering designs.

Develop Cloud-Native Integration Solutions

• Design and develop scalable middleware services using Java, Spring Boot, and cloud-native development practices.
• Provide hands-on technical leadership through architecture reviews, code reviews, troubleshooting, and engineering guidance.
• Design API-based and event-driven solutions using appropriate Google Cloud Platform services.

Build Secure Enterprise Integrations

• Design and manage APIs using Apigee or comparable enterprise API-management platforms.
• Implement authentication and authorization using Microsoft Entra ID and applicable enterprise security standards.
• Use PostgreSQL and Google Cloud Platform services to support integration, staging, auditing, and processing requirements.
• Ensure APIs and middleware applications comply with enterprise security and privacy requirements.

Engineer for Reliability

• Implement resilient integration patterns, including idempotency, automated retries, exception handling, controlled reprocessing, and recovery.
• Establish application logging, monitoring, distributed tracing, alerting, and error-management capabilities.
• Support production readiness, incident management, root-cause analysis, and continuous reliability improvements.

Map and Transform Enterprise Data

• Define mappings to transform legacy data into formats required by SAP S/4HANA and other downstream platforms.
• Establish field mappings, validation, enrichment, payload construction, and data-quality rules.
• Partner with SAP, business, and engineering teams to validate integration requirements and data definitions.

Champion Engineering Excellence

• Promote test-driven development, automated testing, secure coding, peer reviews, and continuous integration/continuous deployment (CI/CD).
• Establish automated quality gates and repeatable deployment practices.
• Promote Infrastructure as Code (IaC) and automated environment provisioning using Terraform or comparable technologies.
• Use AI-assisted engineering tools where appropriate across requirements analysis, development, testing, documentation, and troubleshooting while complying with security, privacy, and quality requirements.

Collaborate and Mentor

• Partner with architecture, SAP, product, security, engineering, supplier, and business teams.
• Mentor engineers on Java, Spring Boot, Google Cloud Platform, API design, enterprise integration, and operational excellence.
• Clearly communicate technical decisions, dependencies, risks, and trade-offs to technical and non-technical stakeholders.

QUALIFICATIONS

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, a related technical discipline, or equivalent practical experience.
• 10+ years of professional software engineering experience using Java.
• 5+ years of hands-on experience developing applications using Spring Boot or related Java technologies.
• 3+ years of experience designing and implementing cloud-native REST APIs.
• Experience with enterprise API-management platforms such as Apigee.
• 3+ years of cloud application development experience using Google Cloud Platform or another major cloud platform such as Microsoft Azure or Amazon Web Services.
• Experience designing and supporting cloud-native applications, including containerized workloads and asynchronous or event-driven integration patterns.
• Experience developing and maintaining CI/CD pipelines.
• Experience with Terraform or comparable Infrastructure as Code tooling.
• Experience with application observability, monitoring, production support, and incident management.
• Demonstrated experience designing secure, scalable, and resilient enterprise integrations.
• Demonstrated technical leadership across engineering teams and technical stakeholders.

Preferred Qualifications

• Master's degree in Computer Science, Computer Engineering, or a related technical field.
• Experience with Google Cloud services such as Cloud Run, Cloud Run Jobs, Cloud Scheduler, Pub/Sub, and Cloud Monitoring.
• Experience integrating legacy or mainframe applications with SAP S/4HANA or another enterprise resource planning platform.
• Experience with Kubernetes and managed container platforms such as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS).
• Experience with Apache Kafka or comparable event-streaming and messaging technologies.
• Experience with Angular or another modern front-end framework.
• Experience overseeing supplier, vendor, or partner engineering teams.
• Experience using AI-assisted software-development tools.
• Familiarity with large language models (LLMs), AI agents, AI development tools, or Model Context Protocol (MCP).

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