Client is seeking an experienced Senior Software Engineer to design, build, and support enterprise integrations for its MyClientAssistant (MDA) AI assistant platform. The platform, powered by Moveworks, enables employees to find information, request services, and complete HR-related tasks through integrations with ServiceNow, Workday, Azure Entra ID, SAP, and enterprise content repositories.
This role will focus on developing secure, scalable, and permission-aware integrations while supporting identity management, enterprise search, and HR process automation. The engineer will also contribute to technical decisions, troubleshoot production issues, maintain engineering standards, and mentor other engineers.
The ideal candidate will have strong hands-on ServiceNow development experience, enterprise API integration expertise, and a solid understanding of identity and access management. Experience with Moveworks and AI-powered enterprise assistant platforms is a strong plus.
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Location: Orlando, FL (4 Days Onsite)
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Contract Duration: 12+ Months (Possible Contract-to-Hire)
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Rate Range: $70-$85/hr on W2
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Only W2 Candidates, NO C2C
Key Responsibilities
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Build and maintain integrations and connectors between Moveworks, ServiceNow, and other enterprise systems.
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Evaluate out-of-the-box platform capabilities versus custom integration solutions.
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Design and implement identity mapping and Single Sign-On (SSO) flows across Moveworks, ServiceNow, and Azure Entra ID.
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Implement content permission enforcement at the orchestration layer, using ServiceNow as the source of truth for access decisions.
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Develop and maintain user and group synchronization processes for platform access control.
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Build Workday queries and integrations to support HR process automation, including employee separation and status events.
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Support SAP and other enterprise system integrations as needed.
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Diagnose and resolve production defects using application logs, API traces, and vendor tools.
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Plan and execute deployments, reindexing activities, and smoke testing across DEV, UAT, and PROD environments.
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Monitor search retrieval and answer quality, partnering with content owners to resolve source content issues.
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Prepare technical designs, test plans, documentation, and project status updates.
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Conduct code reviews and mentor engineers and contract resources.
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Collaborate with external vendors and systems integrators to scope, plan, and deliver technical solutions.
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Take ownership of complex cross-system engineering challenges and contribute to technical architecture decisions.
Required Qualifications
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7+ years of professional software engineering experience.
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4+ years of experience building enterprise integrations using REST APIs, webhooks, and OAuth 2.0.
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4+ years of hands-on ServiceNow development experience, including:
Scripted REST APIs
Glide APIs and scripting
Access Control Lists (ACLs)
Knowledge Management
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Proficiency in JavaScript or TypeScript, along with Python or Java.
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Experience with Single Sign-On (SSO) and identity protocols, including SAML 2.0 and OpenID Connect.
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Working knowledge of Azure Entra ID user provisioning and group management.
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Experience supporting production systems, including incident triage, root cause analysis, and defect resolution.
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Experience with source control, CI/CD pipelines, and automated testing.
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Strong written and verbal communication skills, with the ability to work with technical and non-technical stakeholders.
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Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent work experience.
Required Skills
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Enterprise software integration and API development.
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ServiceNow platform development and customization.
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REST APIs, webhooks, and OAuth 2.0.
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JavaScript/TypeScript and Python or Java.
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SSO, SAML 2.0, and OpenID Connect.
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Azure Entra ID identity and access management.
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User provisioning and group synchronization.
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Permission-aware enterprise search and access control.
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Production support and troubleshooting.
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CI/CD, source control, and automated testing.
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Technical documentation, code reviews, and mentoring.
Technical Skills
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AI Assistant Platform: Moveworks, enterprise AI assistant integrations.
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ITSM Platform: ServiceNow, Scripted REST APIs, Glide APIs, ACLs, Knowledge Management.
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Programming Languages: JavaScript, TypeScript, Python, Java.
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Integration Technologies: REST APIs, webhooks, OAuth 2.0.
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Identity and Access Management: Azure Entra ID, SAML 2.0, OpenID Connect, SSO.
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HR Systems: Workday, SAP.
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Enterprise Search: Permission-aware search, content ingestion, retrieval and answer quality.
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DevOps: Source control, CI/CD pipelines, automated testing.
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Environments: DEV, UAT, PROD.
Preferred Qualifications
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Production experience with Moveworks, including plugins, connectors, Agent Studio, or content ingestion.
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Experience building or optimizing Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) systems.
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Experience with search relevance testing and AI-powered enterprise search.
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Strong understanding of permission-aware enterprise search and large-scale ACL enforcement.
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ServiceNow certifications, such as:
Certified System Administrator (CSA)
Certified Application Developer (CAD)
Certified Implementation Specialist – HR Service Delivery
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Experience with Workday integrations, including Workday Query Language (WQL) and Workday Web Services.
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Experience with SAP HR integrations and APIs.
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Familiarity with Freshdesk or Coupa APIs.
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Experience with multilingual content and language detection in search systems.
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Experience supporting enterprise platforms serving 200,000+ users.
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Experience working with systems integrators such as Deloitte, Accenture, or LTM.
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Master's degree in Computer Science, Software Engineering, Information Systems, or a related field.
Ideal Candidate Profile
The ideal candidate is a senior-level software engineer with strong ServiceNow development and enterprise integration experience. They should be comfortable designing secure integrations across multiple enterprise platforms, managing identity and access controls, and supporting production applications.
Candidates with hands-on Moveworks experience or exposure to AI-powered enterprise assistants, LLMs, and RAG systems will have an added advantage. Strong technical problem-solving, ownership, communication, and mentoring skills are essential.