Senior AI Platform Engineer
Listed on 2026-07-18
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Software Development
Backend Developer, Software Architect, .NET Developer, Cloud Engineer - Software
Homeland Talent Solutions is representing a growing EdTech software organization seeking a Senior Software Engineer – ERP Platform & Integration Architecture (.NET/C#) to help design and build the next generation of its enterprise ERP platform.
This position is part of a major modernization initiative focused on transforming legacy ERP applications into a modern, domain-driven platform architecture. This role sits at the intersection of platform engineering, integration architecture, event-driven systems, cloud technologies, and AI-enabled software modernization. The individual hired will play a key role in establishing the foundational architecture that connects multiple ERP products, services, workflows, and business domains across the enterprise.
The Senior Software Engineer will serve as a hands‑on technical leader responsible for building and scaling the ERP platform layer that supports multiple business‑critical applications.
This role will focus heavily on: ERP platform architecture API gateway development, Event‑driven integrations, Domain‑driven design, Enterprise‑scale C#/.NET development, Cloud‑native services, and AI‑assisted engineering workflows.
The ideal candidate combines strong software engineering expertise with platform architecture experience and understands how to build scalable integration frameworks that connect complex enterprise systems. This is considered one of the more senior engineering hires on the team and requires an individual capable of influencing architecture decisions while remaining highly hands‑on technically.
Responsibilities- Design and develop next‑generation ERP platform architecture
- Establish scalable integration patterns across ERP products and business domains
- Build enterprise‑grade API gateway infrastructure
- Design and implement monitoring, observability, and integration frameworks
- Define canonical data contracts and integration standards
- Design asynchronous processing workflows supporting ERP operations
- Build publish/subscribe architectures and event‑driven integrations
- Develop scalable messaging frameworks supporting enterprise transactions
- Create integration services connecting multiple ERP applications and shared services
- Support hybrid cloud and on‑premise integration strategies
- Design and develop enterprise applications using:
- C#
- ASPNET
- SQL Server
- REST APIs
- Implement scalable architecture patterns including:
- Domain‑Driven Design (DDD)
- Repository Pattern
- Event‑Based Messaging
- Build reusable application frameworks and shared platform components
- Design and support AWS‑based platform services
- Work with technologies including:
- API Gateway
- Event Bridge
- Lambda
- SQS
- Build secure and scalable cloud‑native integrations
- Support platform reliability, monitoring, and performance optimization
- Leverage AI‑assisted development tools and workflows
- Contribute to modernization initiatives utilizing agentic AI frameworks
- Help establish engineering processes that accelerate modernization efforts while maintaining software quality and platform stability
- Partner with engineering leadership to evaluate and implement emerging AI‑driven development capabilities
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field
- 8+ years of software engineering experience
- Strong expertise in C#, .NET/.NET Core, SQL Server, REST APIs, and enterprise application development
- Experience designing and implementing enterprise‑scale platform architectures and scalable distributed systems
- Experience building API gateways, integration frameworks, and service‑oriented architectures
- Experience with event‑driven systems, asynchronous processing, and Domain‑Driven Design (DDD)
- Experience working within AWS, Azure, or GCP cloud environments
- Experience designing AI‑enabled engineering workflows that accelerate software development, integration, testing, validation, and modernization initiatives
- Experience integrating AI capabilities into software development life cycles and leveraging AI to improve software analysis, documentation, testing, migration, and development productivity
- Experience building reusable automation frameworks…
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