Staff Software Engineer, Consumer 360

Credit Acceptance

. Design, build, and continuously improve cloud-native Java 21/Spring Boot services on AWS .

Posted 10/23/2026full-timeUnited StatesLead💰 $154,837 - $227,095 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating cloud-native Java 21/Spring Boot services on AWS, with a strong focus on AI-assisted development, test automation, and mentoring software engineering talent. Proven ability to lead technical direction, conduct impact analysis, and ensure application correctness and security.

Highest-signal resume keywords

Java 21/Spring Boot ExpertiseCloud-Native Service Design on AWSSpec-Driven DevelopmentAI-Powered Agent DevelopmentTechnical Leadership and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java 21Spring BootREST ServicesEvent-Driven ServicesTest AutomationCI/CD in GitHub ActionsData ModelingMessagingKubernetesAPI Security

Soft Skills

MentoringCommunicationInfluencing StakeholdersSound Judgment

Tools & Technologies

Amazon AWSAmazon EKSGitHubJUnit 5MockitoWireMockPactAmazon BedrockSpring AILangChain4j

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceCouncil for Higher Education Accreditation

Industry Keywords

Financial ServicesCustomer Master DataIdentity ResolutionConsent ManagementPrivacy-Request Fulfillment

Tech Stack

Tools & technologies

AWSCloudJavaJUnitKubernetesMockitoPythonSOAPSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design, build, and continuously improve cloud-native Java 21/Spring Boot services on AWS
Use AI coding agents while owning correctness, security, and maintainability
Apply spec-driven development with acceptance criteria, requirement IDs, and automated unit, integration, and consumer/provider contract tests
Lead incremental modernization of Consumer 360 systems, including Java/Spring Boot upgrades, ActiveMQ migration, and on-premises-to-AWS migrations
Author, apply, and advocate coding, documentation, and testing standards
Conduct impact analysis across multiple applications
Learn business process domains and align technology with business needs
Experiment, test ideas, validate assumptions, and recommend solutions
Lead code reviews and communicate application changes
Document systems through READMEs, agent instruction files, API/event specifications, and decision records
Debug production issues and propose application and cross-application solutions
Read, write, and review design documents
Own end-to-end delivery flow and reduce requirement-to-production bottlenecks
Lead continuous learning activities to improve design, code quality, and domain knowledge
Participate in talent selection
Mentor less experienced software engineers on code, designs, and documentation
Design, build, evaluate, and operate production AI agents on AWS using Amazon Bedrock AgentCore and Spring AI
Expose customer context to other teams’ agents through secure, versioned APIs and governed agent tools
Implement guardrails, offline/online evaluations, observability, cost controls, and human review for customer-impacting actions
Lead the team’s AI-assisted delivery model from written specification through deployment

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience
Minimum 8 years of software engineering experience or comparable depth of experience
Experience in the lead role overseeing technical direction of a team of software engineering talent across multiple applications
Expert, hands-on Java (17/21) and Spring Boot
Experience building and operating production REST and event-driven services
Strong object-oriented design and design patterns
Practical experience with spec-driven development, test automation, CI/CD in GitHub Actions, and small, frequent releases
Practical experience in data modeling, design, and messaging
Experience working on mission-critical enterprise class applications
Demonstrated ability to coach and mentor less experienced team members
Willingness to participate in an on-call rotation
Hands-on experience designing, deploying, and operating cloud-native services on AWS, including Kubernetes containers such as Amazon EKS, GitOps, IAM, secrets management, observability, and SLOs
Hands-on experience designing, building, evaluating, and operating at least one LLM-powered agent in production, including secure tool use, retrieval where needed, offline and online evaluation, guardrails, observability, and human oversight
Required degrees must have been earned at institutions of Higher Education accredited by the Council for Higher Education Accreditation or equivalent
Preferred: advanced use of AI-native development tools such as GitHub Copilot and Claude Code
Preferred: REST/JSON and legacy SOAP web services, JUnit 5, Mockito, WireMock, Pact, GitHub, and GitHub Actions
Preferred: API security, analytics, throttling, caching, logging, and request/response modifications
Preferred: API-first design with versioned OpenAPI and event schemas
Preferred: DDL, database objects and relationships, advanced queries, and query optimization
Preferred: financial services industry experience
Preferred: customer master data, identity resolution, consent, privacy-request fulfillment, credit-bureau reporting, Metro 2, and e-OSCAR
Preferred: Amazon Bedrock, Bedrock AgentCore, Spring AI, LangChain4j, Python agent frameworks, LLM evaluation, guardrail, and observability tooling
Ability to challenge the status quo and influence stakeholders
Ability to communicate complex technical information to all levels, including senior leadership
Sound judgment regarding AI tool and action boundaries, human oversight, accuracy, safety, prompt injection, data leakage, and bias
Understanding of cloud and AI workload cost drivers and evidence-based trade-offs

Benefits

Comp & perks

Annual variable bonus of cash and equity, between 10-20%
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision coverage
Many nonstandard benefits