Distinguished Software Engineer

Credit Acceptance

. Set the company’s multi-year technical strategy as the senior-most individual contributor in Technology, reporting to the Chief Technology Officer .

Posted 10/14/2026full-timeRemote • United StatesSeniorLead💰 $232,500 - $341,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in defining and implementing multi-year technical strategies, with a focus on enterprise architecture, cloud migration, and data platform design. Proven ability to influence cross-functional teams and develop engineering talent while ensuring compliance with security and regulatory standards.

Highest-signal resume keywords

Multi-Year Technical StrategyDistributed Systems ArchitectureCloud Migration to AWSAgentic or LLM-Based SystemsRegulatory Compliance Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringEnterprise ArchitectureData Platform ArchitectureCloud MigrationMachine Learning Model ServingReal-Time Pricing ArchitecturePerformance InstrumentationChange-Data-Capture IngestionHigh-Throughput ExperimentationLegacy-to-Modern Migration

Soft Skills

Strong Written CommunicationInfluence Without AuthorityTeam Development

Tools & Technologies

AWSDatabricksModel Context Protocol

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceAccredited Institution Recognition

Industry Keywords

Regulated Industry ExperienceAudit and Compliance ConstraintsSecurity and Privacy Standards

Tech Stack

Tools & technologies

AWSCloudDistributed Systems

About the role

Key responsibilities & impact

Set the company’s multi-year technical strategy as the senior-most individual contributor in Technology, reporting to the Chief Technology Officer
Define and publish enterprise target architecture across originations, servicing, marketplace, data, and AI
Own enterprise agent architecture across servicing, collections, dealer, originations, engineering, and back-office workflows
Establish governed agent access to business capabilities, data, and tools using the Model Context Protocol
Define agent identity, authorization, observability, evaluation, cost controls, policy boundaries, and audit records
Design and own migration strategy from on-premises infrastructure to AWS for transactional workloads and Databricks for analytical workloads
Set data platform architecture for change-data-capture ingestion, streaming, and a modern warehouse
Architect real-time pricing, credit model serving, scorecard updates, and high-throughput experimentation
Own unified vehicle inventory, consumer search, and lead-routing marketplace architecture
Define AI-native software specification, generation, review, testing, deployment, analyzers, and gates
Own performance instrumentation, latency remediation, peak-event readiness, and degradation controls
Move the organization toward owned platforms with clear contracts and incremental delivery
Participate hands-on in design reviews, proofs of concept, code review, and incident analysis
Influence teams and executives without formal authority and develop staff and principal engineers
Ensure security, privacy, auditability, and regulatory obligations are embedded in architecture decisions

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience
Minimum 10 years of software engineering experience or comparable depth of experience
Track record of setting and delivering multi-year technical strategy at enterprise scale as an individual contributor
Depth in distributed systems architecture and at least two specified areas: agentic or LLM-based systems in production; large-scale cloud migration; modern data platform and lakehouse architecture; machine learning platform and model serving; or high-traffic consumer or marketplace applications
Architecture ownership of agentic or LLM-based systems that reached production
Demonstrated ownership of a legacy-to-modern migration with production revenue at stake
Hands-on experience reading code, writing proofs of concept, joining design reviews, and participating in incident analysis
Evidence of influence without authority across organizational boundaries, including executive-level impact
Strong written communication
Ability to develop staff and principal engineers and raise the technical bar of engineers not directly managed
Experience delivering in a regulated industry or ability to work within audit, security, and compliance constraints
Required degrees earned at accredited institutions recognized by the Council for Higher Education Accreditation or equivalent

Benefits

Comp & perks

Annual variable bonus of cash and equity
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision coverage
Many nonstandard benefits
Flexible work-life balance
Casual work environment
Professional development and continuous improvement opportunities
Potential premium for eligible candidates residing in San Francisco, Seattle, Boston, New York City, Los Angeles, or San Diego