Software Engineering Manager - Heritage Integrations

Heritage Landscape Supply Group, Inc.•McKinney, TX

2d•Onsite

About The Position

The Software Engineering Manager – Partner Integrations will lead the design, development, and delivery of integration solutions that enable seamless connectivity between SRS/Heritage systems and external partners, customers, distributors, and fulfillment providers. This role is responsible for supporting the technical onboarding of new partners, accelerating integration timelines, and building scalable, reusable APIs and EDI integrations that drive business growth. The ideal candidate is a hands-on leader with deep experience in API development, EDI standards, system integrations, and cloud-native architectures, capable of balancing rapid delivery with long-term platform strategy. This leader will play a critical role in supporting and extending our Enterprise Integration Layer (EIL) by ensuring partner integrations—whether API-based or EDI-driven—are built as reusable capabilities rather than one-off solutions. The role must balance API-first strategies with established B2B/EDI transaction models required for fulfillment, logistics, and retail ecosystems.

Requirements

Proven experience as a hands-on engineering leader in API development and system integrations
Minimum 5 years of experience building cloud-native applications and integrations using Microservices or SOA
Strong expertise in: Azure (Functions, API Management, Service Bus/Event Grid), .NET / C#, RESTful APIs and integration patterns, EDI standards (ANSI X12, EDIFACT)
Common EDI transactions (850, 855, 856, 810, 846)
Experience designing and implementing partner-facing APIs and external integrations
Experience with EDI platforms/tools (SPS Commerce, Cleo, Boomi, MuleSoft, Logic Apps, or similar)
Strong understanding of data transformation, mapping, and orchestration
Experience with CI/CD pipelines and DevOps practices
Knowledge of security standards (OAuth, API security, OWASP)
Experience with observability tools and logging frameworks
Practical experience applying AI-assisted development tools and building or integrating AI-driven solutions (e.g., leveraging LLMs, automation, or intelligent workflows to enhance engineering productivity or system capabilities)
Ability to balance speed of delivery with long-term architectural integrity

Nice To Haves

Experience working with Enterprise Integration Platforms or Integration Layers (EIL)
Experience modernizing EDI toward API/event-driven architectures
Familiarity with event-driven architectures and messaging systems
Experience in eCommerce, distribution, fulfillment or B2B partner ecosystems
Exposure to data platforms such as Snowflake or BigQuery
Experience working with integration partners or third-party vendors
Strong business acumen with the ability to prioritize integrations based on revenue impact
Experience designing or implementing AI Agents or agentic workflows, including orchestration of multi-step processes, autonomous decisioning, or AI-driven integration patterns
Familiarity with modern AI architectures such as Retrieval-Augmented Generation (RAG), vector databases, and agent frameworks

Responsibilities

Lead the technical onboarding of new partners and customers across both API and EDI integration models, ensuring smooth and efficient integration into the Heritage ecosystem.
Act as the primary engineering leader supporting partner integrations, working closely with business development, product, and external partners.
Translate partner requirements into scalable integration solutions, balancing customization with platform reuse.
Evaluate and recommend appropriate integration patterns: REST APIs, Event-driven architecture, EDI batch/file-based models, Hybrid approaches.
Own integration success from onboarding through production stability.
Design, build, and maintain custom APIs, services, and integration applications to support partner onboarding and growth initiatives.
Design, implement, and support EDI integrations using: ANSI X12, EDIFACT.
Support core transaction sets: 850 (Purchase Order), 855 (Acknowledgment), 856 (ASN), 810 (Invoice), 846 (Inventory).
Ensure APIs follow enterprise standards aligned with the Enterprise Integration Layer (EIL), including canonical data models, observability, and security.
Develop integration patterns that support both real-time APIs, event-driven architectures, and EDI workflows.
Own EDI-based fulfillment integrations supporting order-to-cash workflows.
Ensure accurate processing of: Orders, Shipment notifications, Invoices, Inventory updates.
Implement EDI acknowledgment handling (997/999) and reconciliation processes.
Partner with operations, supply chain, finance, and customer service teams.
Drive standardization to reduce partner-specific customization.
Build targeted applications and services to enable strategic partner capabilities such as: Order integration and automation, Pricing and catalog synchronization, Customer onboarding workflows, Data exchange and transformation services, EDI-driven fulfillment workflows.
Make pragmatic decisions on when to build reusable services vs. purpose-built solutions to accelerate revenue opportunities.
Ensure all partner integrations are designed for scalability, reliability, and performance, avoiding point-to-point technical debt where possible.
Collaborate with Architecture and Platform teams to align integrations with enterprise standards and long-term platform strategy.
Drive adoption of API-first and reusable integration patterns.
Establish reusable: EDI transformation libraries, Canonical mappings.
Lead a high-performing Agile team delivering integration solutions in a fast-paced environment.
Ensure continuous integration and deployment of reliable solutions using DevOps best practices.
Own delivery timelines for partner integrations, often tied directly to revenue and customer commitments.
Implement strong monitoring, logging, and alerting practices for all integrations.
Ensure rapid detection and resolution of issues impacting partners, minimizing downtime and business disruption.
Collaborate with L1/L2 support teams to ensure smooth operational handoff and incident management.
Drive adoption of AI-assisted software development across the team, leveraging tools such as GitHub Copilot and agent-based workflows to improve developer productivity and code quality.
Embed AI into the entire software development lifecycle (SDLC), including: Requirements analysis and API design acceleration, Automated code generation and refactoring, Test case generation and intelligent QA automation, AI-assisted debugging using logs, traces, and telemetry.
Utilize AI to enhance integration development, including mapping, transformation logic generation, and documentation of APIs and partner workflows.
Partner with architecture and platform teams to explore agentic integration patterns, where AI can orchestrate workflows, monitor integrations, and proactively resolve issues.
Continuously evaluate emerging AI capabilities and integrate them into engineering practices to maintain a competitive advantage.
Mentor and coach engineers on API design, EDI Standards, integration patterns, and partner-facing solutions.
Foster a culture of ownership, accountability, and speed, aligned with business outcomes.
Manage all HR responsibilities, including performance reviews, career development, and team planning.
Promote continuous learning, especially in modern integration patterns and AI-enabled engineering practices.