Lead Software Engineer

Stelle nicht auf LinkedIn

🕒 vor 18 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $184.200 - $230.250 / Jahr

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 11%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Lebenslauf hochladen

eLEND Solutions

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2003

🚘 Automobilindustrie

💼 Beratung

📦 Logistik

Automotive • Consulting • Logistics

eLEND Solutions ist eine anbieterunabhängige FinTech SaaS-Plattform, die Autohaus-Händler, Kreditgeber und Partner verbindet, um Echtzeit-Finanzierungsszenarien mit Übereinstimmung der Kreditgeber am Verkaufsort zu ermöglichen. Das Unternehmen bietet Bonitäts- und Identitätsüberprüfungen, fortschrittliche Pre-Desking- und Finanz/Desking-Tools sowie Integrationen mit führenden CRM-Systemen, Bestandsverwaltungssystemen und Websites, um vernetztes Einzelhandelsgeschäft zu optimieren und finanzierbare Geschäfte sowie Abschlussraten zu verbessern. eLEND legt Wert auf Datensicherheit und Compliance (SOC 2 zertifiziert) und bietet konfigurierbare APIs und Middleware, um Vertriebs- und Finanzierungsabläufe für Autohäuser und Finanzpartner zu vereinen.

Beschreibung

• Provide hands-on technical leadership across the Alpha and Delta teams • Design, build, test, deploy, and troubleshoot production software across frontend, backend, integrations, databases, and cloud components • Define application architecture, integration patterns, coding standards, development practices, and reusable engineering approaches • Build reusable services, APIs, libraries, development templates, components, and automation • Evaluate technical solutions and communicate tradeoffs involving speed, scalability, security, cost, maintainability, and customer impact • Mentor engineers and facilitate technical discussions without direct people-management responsibility • Design and deliver products, features, integrations, and digital customer experiences • Establish technical patterns for frequent, safe incremental releases • Build modular, API-first, observable, testable solutions • Improve reliability, performance, security, and supportability of business-critical applications • Modernize legacy systems through refactoring, service decomposition, API enablement, automation, and component replacement • Lead investigation and resolution of production incidents, defects, performance issues, and escalated customer-impacting issues • Strengthen logging, monitoring, alerting, deployment validation, rollback procedures, documentation, and production support • Implement AI uses for software design, development, testing, documentation, review, and release • Establish AI-assisted development patterns, reusable prompts, templates, guardrails, and workflows • Integrate AI-supported quality checks and validation into CI/CD pipelines • Measure AI impact on cycle time, deployment frequency, defect rates, test coverage, release stability, and developer productivity • Protect company information, source code, borrower information, and sensitive data through approved AI practices and access controls • Design secure AI-enabled customer experiences including conversational, guided, summarization, workflow-assistance, and human-review capabilities • Develop and review high-quality Angular and .NET code • Conduct code reviews focused on correctness, security, maintainability, performance, and testability • Strengthen CI/CD pipelines, automated testing, deployment automation, release validation, and rollback capabilities • Use telemetry, profiling, debugging, and monitoring to resolve application, API, database, and integration bottlenecks • Partner with QA on unit, integration, regression, performance, and security testing • Identify dependencies and risks, estimate complex work, and break initiatives into achievable increments • Maintain architecture diagrams, technical designs, decision records, API documentation, runbooks, and knowledge-transfer materials • Partner with Product, Technology Product Management, QA, Security, Infrastructure, Data, and business stakeholders • Continuously improve engineering practices, delivery speed, platform reliability, and customer value • Report to the SVP, APEX

🎯 Anforderungen

• Advanced proficiency in C#, .NET, ASP.NET Core, and secure, scalable web applications, background services, and APIs • Strong experience with Angular and TypeScript • Proficiency with Azure SQL Server, including schema design, indexing, query optimization, and performance troubleshooting • Experience designing RESTful APIs, service-oriented architectures, event-driven applications, and scalable microservices • Strong understanding of distributed-system concepts including asynchronous processing, resiliency, idempotency, fault handling, caching, and eventual consistency • Ability to modernize applications incrementally while maintaining business continuity • Ability to create and communicate architecture diagrams, technical designs, interface specifications, and architectural decision records • Strong knowledge of Microsoft Azure services including App Services, Function Apps, Service Bus, Event Grid, Key Vault, Azure SQL, storage, monitoring, and identity services • Experience with CI/CD pipelines, automated testing, deployment automation, release controls, and environment management using Azure DevOps or comparable platforms • Advanced Git skills, including branching strategies, pull requests, release management, and complex shared codebases • Experience with xUnit, NUnit, or MSTest • Strong application-security knowledge, including OAuth 2.0, OpenID Connect, SSO, managed identities, RBAC, secure key management, and secure API design • Ability to diagnose and optimize distributed applications through logging, monitoring, profiling, debugging, and performance analysis • Hands-on experience using AI-assisted software development tools • Experience integrating AI models or services into enterprise applications through APIs or SDKs • Understanding of AI context, reusable prompts, engineering workflows, guardrails, and development standards • Familiarity with AI-supported test generation, code analysis, defect detection, documentation, and release automation • Understanding of risks associated with AI-generated code, intellectual-property concerns, sensitive-data exposure, and insufficient validation • Ability to evaluate AI development tools based on measurable improvements • Understanding of customer-facing AI patterns including conversational interfaces, intelligent guidance, information summarization, workflow assistance, and human-in-the-loop interactions • Demonstrated ability to provide technical leadership across multiple teams as a senior individual contributor • Strong mentoring mindset and ability to improve engineers' technical judgment, code quality, and independence • Ability to influence technical direction without direct reporting authority • Experience modernizing business-critical applications while maintaining operational continuity • Strong analytical and problem-solving skills • Ability to communicate complex technical concepts to technical and non-technical audiences • Ability to balance delivery speed with security, quality, maintainability, customer experience, and long-term platform health • Preferred experience in mortgage lending, financial services, fintech, or another highly regulated industry • Preferred experience modernizing large .NET applications or decomposing tightly coupled systems into modular services • Preferred experience building shared engineering platforms, reusable application frameworks, or enterprise integration capabilities • Preferred experience implementing AI-assisted development practices across an engineering organization • Familiarity with Azure-based AI services, model gateways, development copilots, or enterprise AI development platforms • Experience building conversational, guided, or agent-assisted customer experiences • Familiarity with feature flags, experimentation frameworks, product telemetry, and customer-experience analytics • Experience with containerized applications and orchestration platforms

🏖️ Vorteile

• Competitive base pay • Comprehensive medical, dental, and vision coverage • 401(k) plan with company participation • Paid time off and company holidays • Professional development and career growth opportunities • Access to tools, systems, and resources that support operational and client success • Collaborative and growth-oriented team environment • Access to tools, technology, and resources that support engineering excellence and innovation