Responsibilities: -
Design, build, and maintain integration services across ERP systems (SAP, Workday, Oracle, Infor, or similar). Develop REST and SOAP APIs and ensure scalable, maintainable integration patterns. Implement backend services using C#, .NET Core, Node.js,
Java,
Python, or Typescript depending on system needs. Build microservices and event-driven architectures leveraging Azure EventHub, Service Bus, or Kafka. Engineer cloud-based solutions using Azure Functions, Logic Apps,
API Management, Key Vault, and App Services. Develop and optimize data integration pipelines, including ETL/ELT transformations and handling JSON, XML, and EDI formats. Work with relational database technologies (RDBMS, PL/SQL) and perform data modeling and performance tuning. Interpret architecture diagrams, sequence flows, and design loosely coupled integration layers. Follow strong Git branching strategies and engineering practices such as TDD and unit testing. Work in CI/CD pipelines using Azure
DevOps or GitHub Actions. Monitor production systems and integrations using App Insights, Splunk, or similar tools. Partner with QE, Product, and cross-functional teams to deliver high-quality integration capabilities. Experience: - 8+ Years Location: - Irving, TX - 2days/Week Educational Qualifications: - Engineering Degree BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Skills: - Mandatory skills Minimum 8 years of software engineering experience. Experience with ERP integrations and external system connectivity.
API development expertise with REST and SOAP. Backend engineering proficiency with C#, .NET Core, Node.js,
Java,
Python, or Typescript. Experience with microservices and event-driven messaging frameworks such as EventHub, Service Bus, or Kafka. Hands-on experience with Azure cloud services and Infrastructure-as-Code (Pulumi or Terraform). Strong understanding of ETL/ELT patterns, data transformation, and ERP-related data formats. Solid SQL skills, including schema design and performance tuning. Strong debugging abilities and comfort working in complex, interconnected environments. Strong communication skills and experience working with evolving requirements Good to have skills: - Proactive and prevention-focused mindset. Strong analytical and problem-solving approach. Ability to collaborate across teams (engineering, product, business, data, QE). Proven experience maintaining system stability and delivering high-quality solutions. Familiarity with AI-assisted development tools such as Copilot or ChatGPT. Awareness of semantic search, ML-driven enrichment, or Azure Cognitive Services is a plus