Workflow Platform Frontend Engineer
EY
About the Role
EY is seeking a motivated Staff Workflow Platform Engineer to help build, test, and support enterprise workflow, orchestration, and intelligent automation solutions. This role involves contributing to workflow services, API integrations, platform components, testing, and operational support, while developing expertise in modern automation technologies. This is an ideal role for candidates with experience or practical exposure to programming languages, workflow platforms, BPM technology, orchestration engines, or low-code platforms, and who are interested in learning across a broader ecosystem.
Key Responsibilities
Workflow & Platform Engineering
- Develop and enhance workflow services, workers, APIs, connectors, and reusable platform components under team guidance.
- Implement assigned user stories using established architecture, coding standards, and delivery practices.
- Configure BPMN processes, forms, business rules, human tasks, and integration points.
- Support workflow deployment, versioning, monitoring, and technical documentation activities.
- Contribute to automation solutions that use case management, business rules, or event-driven workflows.
Integration & Automation
- Build and test integrations with enterprise applications, APIs, messaging systems, and cloud services.
- Apply REST API, JSON, and basic event-driven integration patterns.
- Assist with reusable connectors and integration components for multiple business solutions.
- Support intelligent automation capabilities involving AI services, document processing, or automation platforms.
Cloud & Engineering Excellence
- Write maintainable code, unit tests, and supporting technical documentation.
- Participate in code reviews, Agile ceremonies, and team knowledge-sharing activities.
- Support CI/CD, deployment, debugging, and defect resolution activities.
- Follow enterprise standards for security, quality, compliance, and operational support.
Requirements & Tech Stack
Required Qualifications
- Bachelor's Degree in Computer Science, Engineering, Information Technology or related discipline, or equivalent practical experience.
- 1-3 years of software development, integration, application configuration, or automation experience.
- Experience with at least one programming language or workflow/low-code platform.
- Basic understanding of APIs, databases, Git, and software development lifecycle practices.
- Ability to learn new technologies and work effectively in an Agile team environment.
Workflow & Automation Platform Experience
Candidates should possess experience, academic exposure, certification, internship, or project work with at least one platform from either of the two categories listed below.
- Open BPM & Orchestration Platforms:
- Camunda 7 / Camunda 8
- Flowable
- Fluxnova
- Temporal
- Low-Code Platforms:
- Pega Infinity
- Appian
- Microsoft Power Platform
- ServiceNow Workflow Automation
- IBM Business Automation Workflow
Business Process & Workflow Knowledge (Preferred)
- BPMN 2.0 fundamentals.
- Human Task Management and approval workflows.
- Basic Case Management and Business Rules concepts.
- Workflow deployment, versioning, and monitoring awareness.
- Event-driven processing or messaging fundamentals.
Software Engineering Skills
- Programming Languages (experience with at least one):
- Java, preferably with Spring or Spring Boot exposure.
- Python.
- JavaScript or TypeScript.
- Node.js.
- Integration Technologies:
- REST APIs.
- JSON and XML.
- Basic OpenAPI awareness.
- Basic Event-Driven Architecture concepts.
- Messaging & Event Streaming (exposure to at least one preferred):
- Apache Kafka
- Confluent Platform
- RabbitMQ
- IBM MQ
- Azure Event Hubs
- Cloud, DevOps & Infrastructure (Exposure to at least one cloud-native platform or development ecosystem is preferred):
- Kubernetes, OpenShift, or Docker.
- Terraform, Helm, or ArgoCD.
- Jenkins, GitHub Actions, or GitLab CI/CD.
- Data Technologies (Experience or academic exposure to at least one of the following):
- PostgreSQL, Oracle, or SQL Server.
- Elasticsearch/OpenSearch, Redis, or Cassandra.
- AI & Intelligent Automation (Preferred):
- Azure OpenAI or AWS Bedrock awareness.
- LangChain, LangGraph, CrewAI, or Semantic Kernel exposure.
- Model Context Protocol (MCP) awareness.
- UiPath or Automation Anywhere exposure.
- Intelligent Document Processing or OCR concepts.
Preferred Industry Experience
- Banking, Financial Services, or Capital Markets.
- Insurance or Healthcare.
- Public Sector or other highly regulated industries.
What Will Make You Stand Out
- Internship, coursework, certification, or project experience with workflow or low-code platforms.
- Experience developing reusable APIs, workflow components, or connectors.
- Exposure to cloud-native or multi-tenant application concepts.
- Strong interest in workflow automation, AI, and platform engineering.
- Demonstrated ability to learn quickly and respond constructively to technical feedback.