Service Delivery Center, Workflow Platform Backend Engineer - Senior

EY•Dallas, TX

3d•$67,000 - $155,300•Onsite

About The Position

We are seeking a highly skilled Senior Workflow Platform Engineer to help design, build and scale enterprise workflow, orchestration and intelligent automation platforms. The successful candidate will contribute to reusable workflow services, API-driven integrations, event-driven architectures, AI-powered automation capabilities and cloud-native platform services. This role is ideal for engineers who possess deep expertise in at least one workflow, BPM, orchestration or low-code platform and are excited to work across a broader ecosystem of technologies supporting enterprise-wide automation initiatives.

Requirements

Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology or related discipline.
7+ years of software engineering experience.
3+ years of workflow, orchestration, BPM, low-code or automation platform experience.
Experience delivering enterprise-scale distributed systems in Agile environments.
Hands-on experience with at least one platform from either Open BPM & Orchestration Platforms (Camunda 7 / Camunda 8, Flowable, Fluxnova, Temporal) or Low-Code Platforms (Pega Infinity, Appian, Microsoft Power Platform, ServiceNow Workflow Automation or IBM Business Automation Workflow).
Knowledge of BPMN 2.0 and DMN concepts.
Knowledge of Case Management and Human Task Management.
Knowledge of Workflow Orchestration and Business Rules Management.
Knowledge of Process Governance and Workflow Versioning.
Knowledge of Event Correlation, Long-Running Transactions and Compensation Patterns.
Experience with at least one programming language: Java (preferably Spring Boot), Python, Node.js, or Go.
Experience with integration technologies such as REST APIs, GraphQL, gRPC, OpenAPI, Event-Driven Architecture, and Enterprise Integration Patterns.
Experience with at least one messaging & event streaming technology: Apache Kafka, Confluent Platform, RabbitMQ, IBM MQ, or Azure Event Hubs.
Experience with at least one cloud-native platform or container ecosystem: Kubernetes, OpenShift, Docker, Terraform, Helm, ArgoCD, or CI/CD tools like Jenkins, GitHub Actions or GitLab CI/CD.
Experience with at least one data technology: PostgreSQL, Oracle, SQL Server, Elasticsearch/OpenSearch, Redis, or Cassandra.

Nice To Haves

Experience with AI & Intelligent Automation tools like Azure OpenAI or AWS Bedrock, LangChain, LangGraph, CrewAI or Semantic Kernel, Model Context Protocol (MCP), UiPath or Automation Anywhere, ABBYY, Intelligent Document Processing or OCR solutions.
Preferred Industry Experience in Banking, Financial Services or Capital Markets, Insurance or Healthcare, Public Sector or other highly regulated industries.
Experience building Workflow-as-a-Service (WaaS) platforms.
Experience developing reusable workflow frameworks and connector ecosystems.
Multi-tenant SaaS platform experience.
Process Mining exposure such as Celonis, Signavio or Camunda Optimize.
Strong understanding of governance, compliance, audit and operational excellence frameworks.

Responsibilities

Design and implement enterprise-scale workflow and orchestration services.
Develop reusable workflow components, connector frameworks, accelerators, SDKs and platform services.
Build workflow lifecycle management capabilities including deployment, versioning, monitoring, auditing and governance.
Support BPMN-based process automation, case management, business rules and event-driven workflows.
Contribute to multi-tenant, highly scalable workflow platform architectures.
Design integrations with enterprise applications, APIs, messaging systems, cloud services and external platforms.
Implement API-first and event-driven integration patterns.
Enable intelligent automation capabilities using AI services, document processing solutions and automation platforms.
Develop reusable connectors and integration patterns that can be leveraged across multiple business solutions.
Build cloud-native microservices and distributed systems.
Contribute to DevOps, CI/CD, Infrastructure-as-Code, observability and platform reliability practices.
Participate in architecture reviews, code reviews and technical mentoring activities.
Ensure solutions meet enterprise standards for security, scalability, compliance and operational excellence.