Staff Software Engineer, Consumer 360

Credit Acceptance

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

Posted 10/22/2026full-timeBellevue • Washington • United StatesLead💰 $154,837 - $227,095 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating cloud-native Java 21/Spring Boot services on AWS, with a strong focus on security, maintainability, and test automation. Proven ability to lead modernization efforts, mentor team members, and align technology with business processes.

Highest-signal resume keywords

Java 21/Spring Boot ExpertiseCloud-Native AWS ServicesSpec-Driven DevelopmentProduction REST and Event-Driven ServicesMentoring and Coaching

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java 21Spring BootTest AutomationCI/CD in GitHub ActionsData ModelingEvent-Driven MessagingKubernetesAmazon EKSAPI SecurityLLM-Powered Agent Development

Soft Skills

LeadershipMentoringCollaborationCommunicationProblem-Solving

Tools & Technologies

AWSGitHub ActionsAmazon BedrockSpring AIMCP

Industry Keywords

Enterprise ApplicationsFinancial ServicesRegulated Customer DataAI Agent PlatformsObservability

Tech Stack

Tools & technologies

AWSCloudJavaKubernetesSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design, build, and continuously improve cloud-native Java 21/Spring Boot services on AWS
Own correctness, security, and maintainability of software changes
Practice spec-driven development with acceptance criteria, requirement IDs, and automated unit, integration, and contract tests
Lead modernization of Consumer 360 systems, including Java/Spring Boot upgrades, managed event-driven messaging, and migration of workloads and databases to AWS
Define and advocate coding, documentation, and testing standards
Conduct impact analysis across multiple applications
Learn business processes and align technology with business needs
Experiment, test ideas, validate assumptions, and recommend solutions
Lead code reviews and communicate application changes
Document systems, APIs, events, agent instructions, and significant design decisions
Debug production issues and propose solutions across applications
Read, write, and review design documents
Own delivery flow from requirements through production and remove delivery bottlenecks
Lead continuous learning activities
Participate in talent selection
Mentor less experienced software engineers
Design, build, evaluate, and operate production AI agents on AWS using Amazon Bedrock AgentCore and Spring AI
Expose customer context through secure, versioned APIs and governed agent tools such as MCP
Lead the team’s AI-assisted delivery model, maintaining human approval gates and measuring quality and lead time
Collaborate with customers, servicing teams, AI agents, business partners, technology partners, and cross-functional teams

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or closely related field; or equivalent work experience
Minimum 8 years of software engineering experience or comparable depth of experience
Lead-role experience overseeing technical direction across multiple applications
Expert hands-on Java (17/21) and Spring Boot experience
Experience building and operating production REST and event-driven services
Strong object-oriented design and design patterns
Spec-driven development, test automation, CI/CD in GitHub Actions, and small frequent releases
Experience in data modeling, design, and messaging
Experience with mission-critical enterprise applications
Ability to coach and mentor less experienced team members
Willingness to participate in an on-call rotation
Experience designing, deploying, and operating cloud-native AWS services, including Kubernetes containers such as Amazon EKS, GitOps, IAM, secrets management, observability, and SLOs
Experience designing, building, evaluating, and operating at least one LLM-powered agent in production
Experience with secure tool use, retrieval, offline and online evaluation, guardrails, observability, and human oversight
Required degrees must be earned at accredited higher-education institutions
Preferred: advanced AI-native development tools, APIs and frameworks, API security, API-first design, DDL, advanced queries, financial services, regulated customer data, AI agent platforms, and LLM evaluation, guardrail, and observability tooling

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 benefits
Nonstandard benefits
Hybrid work model with two work-from-home days per week