Software Engineering Manager II, Consumer 360

Credit Acceptance

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

Posted 10/23/2026full-timeUnited StatesMid-LevelSenior💰 $155,263 - $227,719 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams with a strong focus on Agile and DevOps practices, API platform governance, and AI integration. Capable of designing resilient systems and fostering cross-functional collaboration to drive operational success and deliver customer value.

Highest-signal resume keywords

Agile MethodologiesTechnical LeadershipAPI Platform GovernanceAI IntegrationCloud Migration

ATS Keywords

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Hard Skills

Agile PracticesDevOps PracticesMicroservices DesignCloud TechnologiesAPI DesignTest-Driven DevelopmentDeployment AutomationDatabase LockingRules Engine ImplementationLegacy Modernization

Soft Skills

MentorshipCross-Functional CollaborationProblem SolvingCommunicationTeam Building

Tools & Technologies

Container OrchestrationServerless TechnologiesAI PlatformsObservability ToolingDeployment Pipelines

Industry Keywords

Technical VisionIncremental ReleasesDistributed ServicesPerformance MonitoringIncident Management

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 appropriate teams and enable incremental outcomes
Lead and mentor cross-functional team members 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, inform progress toward delivery goals, and provide support as needed
Build effective teams by ensuring appropriate staffing and setting clear expectations
Monitor and evaluate team performance; continuously coach and mentor team members
Ensure operational success through understanding of system ecosystems, architecture, technologies, and system domains
Participate in on-call escalation and incident management
Own the design, delivery, and lifecycle governance of API platforms and services across teams, including contract-first design, versioning, deprecation discipline, reuse, and consumer experience
Drive AI adoption across the software development lifecycle by establishing standards, guardrails, and effectiveness measures
Guide delivery of AI-enabled capabilities, including agentic solutions, with evaluation, human-in-the-loop controls, observability, and responsible-use practices
Remain compliant with company policies, processes, and legal guidelines
Perform other duties as assigned
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
Preferred: 4 years’ experience leading initiatives in a Java ecosystem
Track record of identifying, evaluating, measuring, and advocating for adoption of tools and approaches that improve outcomes
Experience with database locking, distributed transactions (XA), SAGA pattern, and race-condition-resilient approaches
Ability to design decoupled, resilient transaction models with appropriate recovery models
Experience implementing and operationalizing rules engines
Experience modernizing or decomposing legacy monoliths into API-first, cloud-native services
Experience introducing AI capabilities into engineering organizations, including adoption planning, engineer upskilling, and impact measurement
Exposure to AI platform and tooling ecosystems, including model providers and gateways, agent frameworks, vector databases, and evaluation and observability tooling for LLM systems
Deep technical expertise with the ability to influence and partner with the business
Ability to communicate complex technical information verbally and in writing to all levels, including senior leadership
Ability to solve problems at the source with simple, working solutions
Ability to anticipate the impact of changes or projects across multiple systems
Ability to respond promptly and effectively to incidents, tasks, and projects
Demonstrated ability and motivation to teach others
Ability to build trust and solid relationships across the organization
Ability to prioritize and execute tasks in a high-pressure environment
Ability to distinguish durable engineering fundamentals from hype when evaluating emerging AI tools and patterns
Required degrees must have been earned at accredited institutions

Benefits

Comp & perks

Annual variable bonus of cash and equity, between 15-30%
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision benefits
Many nonstandard benefits