Software Engineering Manager II, Consumer 360

Credit Acceptance

. Lead and mentor team members on agile and product mindset principles .

Posted 10/30/2026full-timeUnited StatesMid-LevelSenior💰 $186,316 - $260,842 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams with a focus on Agile and DevOps practices, including API design and AI integration. Capable of mentoring cross-functional teams while ensuring operational success through effective system architecture and delivery metrics.

Highest-signal resume keywords

Technical LeadershipAgile Practices ImplementationAPI Design and GovernanceCloud Migration ExperienceAI Adoption and Integration

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Applicant Tracking System Keywords

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Hard Skills

Agile MethodologiesDevOps PracticesMicroservices DesignCloud TechnologiesAPI DevelopmentTest-Driven DevelopmentDeployment AutomationPerformance MonitoringDistributed SystemsAI Integration

Soft Skills

MentorshipProblem-SolvingCommunicationTeam BuildingRelationship Management

Tools & Technologies

Container OrchestrationServerless TechnologiesDeployment PipelinesObservability ToolsAI Workflows

Certifications & Qualifications

Bachelor’s Degree

Industry Keywords

Cross-Functional CollaborationIncremental DeliveryOperational SuccessTechnical VisionCompliance

Tech Stack

Tools & technologies

CloudJavaMicroservices

About the role

Key responsibilities & impact

Lead and mentor team members on agile and product mindset principles
Participate in work planning to align important work with the appropriate team and enable incremental delivery
Lead and mentor cross-functional team members in building products that deliver customer and business value
Design solutions for initiatives involving multiple team applications and applications owned by other teams
Support delivery teams in consistently following process and technology standards
Develop and track delivery metrics, monitor product technical health, and report progress toward delivery goals
Build effective teams by selecting the right people and setting clear expectations
Monitor and evaluate team performance; continuously coach and mentor team members
Ensure operational success through understanding system ecosystems, architecture, technologies, and domains
Participate in on-call escalation and incident management
Own the design, delivery, and lifecycle governance of cross-team API platforms and services
Drive contract-first API design, versioning, deprecation discipline, reuse, and consumer experience
Drive AI adoption across the software development lifecycle by establishing standards, guardrails, and effectiveness measures
Guide the design and delivery of AI-enabled and agentic capabilities with evaluation, human-in-the-loop controls, observability, and responsible-use practices
Perform other assigned duties and meet department attendance requirements

Requirements

What you’ll need

Bachelor’s Degree or equivalent experience
Minimum of 5 years’ experience leading engineering teams
Proven experience in technical leadership, mentorship, cross-functional project execution, and setting and executing technical vision and strategy
Extensive experience implementing Agile and DevOps practices, including test-driven development, incremental releases, continuous integration, and deployment pipeline automation
Experience with microservices design strategies and implementation, including migration planning, service granularity, interservice communication, traceability, orchestration, and failure isolation
Experience with cloud migrations and mixed on-premises/cloud environments, including container orchestration, security, and serverless technologies
Experience leading teams that design and operate reliable distributed services at scale, including performance, observability, failure recovery, and applying AI to improve system capabilities or operations
Experience creating reusable, developer-friendly platforms with self-service onboarding, API observability, and applied AI capabilities such as intelligent APIs, tool/function calling, and MCP-based integrations
Experience building secure, scalable, and cost-efficient cloud platforms, including deployment automation and applied AI workloads such as RAG, model services, agents, and AI-enabled engineering workflows
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 be earned at accredited institutions of higher education
Preferred: 4 years’ experience leading initiatives in a Java ecosystem
Preferred experience with transactional and race-condition-resilient approaches, database locking, distributed transactions (XA), SAGA pattern, decoupled transaction models, rules engines, legacy modernization, AI adoption, and AI platform/tooling ecosystems
Deep technical expertise and ability to influence and partner with business
Ability to communicate complex technical information to all levels, including senior leadership
Ability to solve problems at the source with simple, working solutions
Ability to anticipate cross-system impacts of changes or projects
Ability to respond promptly and effectively to incidents, tasks, and projects
Demonstrated ability and motivation to teach others
Ability to build trust and relationships throughout the organization
Ability to prioritize and execute tasks in a high-pressure environment
Ability to evaluate emerging AI tools and patterns pragmatically and make build-vs-buy and adopt-vs-wait decisions
Compliance with company policies, processes, and legal guidelines

Benefits

Comp & perks

Annual variable incentive of cash and equity, between 15–30%
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision benefits
Nonstandard benefits