Senior Workforce Solutions Engineer

Credit Acceptance

. Partner with product owners, service teams, and business stakeholders to identify friction, prioritize opportunities, and simplify workflows before automation .

Posted 11/10/2026full-timeUnited StatesSenior💰 $125,500 - $175,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in engineering enterprise business applications with a focus on automation, workflow simplification, and secure data handling. Proficient in scripting, API integration, and applying AI tools to enhance business processes while ensuring compliance and quality.

Highest-signal resume keywords

Enterprise Business Application EngineeringScripting Experience (Python, PL/SQL, JavaScript)Atlassian Administration (Jira, Confluence)Generative AI Application in WorkflowsSoftware Development Life Cycle (SDLC) Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automation EngineeringAPI IntegrationScripting (Python, PL/SQL, JavaScript)Low-Code Tools ConfigurationIncident ResolutionRoot-Cause AnalysisTesting and Release ManagementData Access ControlsAccess Control ImplementationTechnical Documentation

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

Atlassian (Jira, Confluence)ADPServiceNowEnterprise SystemsGoverned APIs

Certifications & Qualifications

Atlassian CertificationADP Certification

Industry Keywords

AutomationWorkflowsCompliance (SOC 2)Human OversightAgile/SCRUM PracticesEnterprise ApplicationsKnowledge QualitySensitive Data HandlingApplication ConsolidationLicense Optimization

Tech Stack

Tools & technologies

JavaScriptPythonSDLCServiceNowSQL

About the role

Key responsibilities & impact

Partner with product owners, service teams, and business stakeholders to identify friction, prioritize opportunities, and simplify workflows before automation
Configure platform workflows, write scripts, expose supported APIs, and use approved low-code tools to automate recurring work
Engineer conversational experiences, knowledge, workflows, and agent capabilities using deterministic automation and bounded AI reasoning
Build documented actions, integrations, and templates for multiple teams
Connect portfolio applications with enterprise systems using supported APIs and secure data exchange, including validation, monitoring, retries, and exception handling
Improve knowledge quality and implement permissions-aware retrieval grounded in authoritative information
Configure least-privilege roles, integration identities, and secrets management; support access reviews and audit evidence
Test and govern AI before release, monitor quality and adoption, and build human approval, audit trails, and suspension mechanisms into sensitive automation
Measure cycle time, hours released, adoption, rework, capacity released, and realized savings
Own production reliability, use logs and alerts, perform root-cause analysis, maintain runbooks, automate regression testing, maintain source control, and participate in the on-call rotation
Maintain application inventory, dependencies, license usage, and renewal dates; recommend consolidation or retirement
Mentor peers, review technical designs, establish reusable engineering standards, evaluate emerging AI capabilities, and provide user guidance and knowledge transfer

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, or a closely related field, or equivalent work experience
6+ years of experience administering and engineering enterprise business applications, with a demonstrated record of shipping automation and improving business workflows
Hands-on Atlassian administration and automation experience, including Jira and Confluence, plus ADP or a comparable payroll or HR platform
Scripting and integration experience using Python, PL/SQL, JavaScript, REST APIs, or webhooks, including supporting integrations in production
Practical experience applying generative AI or agent tools to business workflows, including evaluation, data access controls, and human oversight
Experience building secure, compliant applications, including access controls and sensitive data handling for HR, payroll, and financial processes; familiarity with standards such as SOC 2
Experience with incident resolution, root-cause analysis, and technical documentation for enterprise applications
Practical expertise in the Software Development Life Cycle (SDLC) and Agent Development Life Cycle (ADLC), including Agile/SCRUM practices, testing, release management, and DevOps practices
Experience providing technical leadership and mentoring to other engineers
Must reside in or be willing to relocate to the greater Southfield, Michigan, area; greater Bellevue, Washington, area; or San Francisco Bay Area, California
Required degrees must have been earned at institutions of Higher Education accredited by the Council for Higher Education Accreditation or equivalent
Preferred: Atlassian or ADP certifications
Preferred: Experience with enterprise low-code automation, knowledge and search quality, approved AI assistants, or reusable agent tools and actions
Preferred: Experience exposing enterprise actions to external AI agents through governed APIs or standards such as Model Context Protocol (MCP), and with AI evaluation datasets
Preferred: Experience with license optimization, application consolidation, and integrating workforce applications with ServiceNow, identity, or collaboration platforms

Benefits

Comp & perks

Annual variable cash incentive between 7.5% and 15%
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision benefits
Many nonstandard benefits
Hybrid work model with two work-from-home days and three standard in-office days each week