Software Engineering Manager II, Consumer 360

Credit Acceptance

. Lead and grow cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms .

Posted 9/17/2026full-timeRemote • Michigan • United StatesMid-LevelSenior💰 $155,263 - $227,719 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading cross-functional engineering teams to build and operate cloud-native platforms, with a strong focus on Agile methodologies, API design, and AI integration. Proven ability to drive technical excellence, mentor team members, and ensure compliance with industry standards.

Highest-signal resume keywords

Technical LeadershipAgile and DevOps PracticesMicroservices DesignCloud MigrationAI Integration

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Applicant Tracking System Keywords

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Hard Skills

API DesignCloud-Native PlatformsTest-Driven DevelopmentContinuous IntegrationDeployment Pipeline AutomationContainer OrchestrationDistributed ServicesPerformance MonitoringDatabase LockingRules Engine Implementation

Soft Skills

MentorshipCommunicationProblem-SolvingRelationship BuildingTask Prioritization

Tools & Technologies

AI PlatformsModel ServicesServerless TechnologiesObservability ToolingAgent Frameworks

Certifications & Qualifications

Bachelor’s Degree

Industry Keywords

Cloud MigrationAgile MethodologiesDevOps PracticesDistributed TransactionsAPI-First Design

Tech Stack

Tools & technologies

CloudJavaMicroservices

About the role

Key responsibilities & impact

Lead and grow cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms
Drive engineering excellence, delivery outcomes, and technical health of owned products
Lead and mentor team members on Agile and product mindset principles
Participate in work planning to align priorities, teams, and incremental outcomes
Lead cross-functional teams in building products that deliver customer and business value
Design solutions spanning 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, set clear expectations, evaluate performance, and coach and mentor team members
Maintain understanding of system ecosystem, architecture, technologies, and domains to support operational success
Participate in on-call escalation and incident management
Own the design, delivery, and lifecycle governance of API platforms and services, including contract-first design, versioning, deprecation, reuse, and consumer experience
Drive AI adoption across the software development lifecycle by establishing standards, guardrails, and effectiveness measures
Guide identification, design, and delivery of AI-enabled and agentic capabilities with evaluation, human-in-the-loop controls, observability, and responsible-use practices
Remain compliant with policies, processes, and legal guidelines
Perform other duties as assigned

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
Required degrees must be earned at accredited higher-education institutions recognized by the Council for Higher Education Accreditation or equivalent
Preferred: 4 years’ experience leading initiatives in a Java ecosystem
Preferred experience with transactional and race-condition-resilient approaches, database locking, distributed transactions (XA), and SAGA pattern
Preferred experience designing decoupled system transaction models resilient to upstream and downstream outages
Preferred experience implementing and operationalizing rules engines
Preferred experience modernizing or decomposing legacy monoliths into API-first, cloud-native services
Preferred experience introducing AI capability into an engineering organization
Exposure to AI platform and tooling ecosystems, including model providers and gateways, agent frameworks, vector databases, and LLM evaluation and observability tooling
Deep technical expertise and ability to influence and partner with business stakeholders
Ability to communicate complex technical information verbally and in writing to all organizational levels, including senior leadership
Ability to solve problems at the source with simple, working solutions
Ability to anticipate cross-system impacts of changes and 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 pragmatically and make build-vs-buy and adopt-vs-wait decisions

Benefits

Comp & perks

Annual variable bonus of cash and equity, between 15-30%
Potential premium on top of the posted range for candidates residing in San Francisco, Seattle, Boston, New York City, Los Angeles, or San Diego
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision benefits
Many nonstandard benefits
Work-from-home arrangement
Professional development and continuous improvement environment