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Sr. Software Engineer (AI First)

OPENLANE

Trabajo remoto

Ubicación
Remote (United States)
Retribución
USD 125000-175000 per annual
Jornada
Full Time
Publicado
10 oct 2026

Confirma que la oferta sigue abierta y revisa sus condiciones en el sitio web de la empresa antes de solicitar el puesto.

Descripción del puesto

La interfaz está en español. Los títulos y las descripciones de las empresas se mantienen en el idioma original de publicación, que puede ser inglés.

Who We Are: At OPENLANE we make wholesale easy so our customers can be more successful. We’re a technology company building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles. We’re a data company helping customers buy and sell smarter with clear, actionable insights they can understand and use. And we’re an innovation company accelerating the future of wholesale remarketing through curiosity, collaboration, and an entrepreneurial spirit. Our Values: Driven Waybuilders. We pursue challenges that inspire us to build, create, and innovate. Relentless Curiosity. We seek to understand and improve our customers’ experience. Smart Risk-Taking. We transform risk into progress through data, experience, and intuition. Fearless Ownership. We deliver what we promise and learn along the way. We’re hiring AI-first Sr. Software Engineers to build, evolve, and scale OPENLANE’s U.S. marketplace platforms. These roles are for engineers who already treat AI as a first-class development tool, not a novelty. You’ll use AI to move faster, ship higher-quality software, and reduce operational and development toil, while still applying strong engineering judgment, ownership, and systems thinking. You’ll work on customer-facing marketplace experiences and core platform services, partnering closely with Product, Data, Infrastructure, and SRE teams to deliver resilient, scalable systems. AI is an accelerator. Engineering ownership still matters. Why OPENLANE: Work on real-time, high-value marketplace systems at scale Be part of a major platform modernization and AI transformation Use AI as a first-class development tool—not an experiment Collaborate with experienced engineers, product leaders, and platform teams Grow in an environment that values learning, ownership, and impact You Are: AI-forward. You already use AI tools to enhance development speed, quality, and efficiency, and you continuously adapt as tooling evolves. Product-minded. You think beyond code and understand how technical decisions impact customers and business outcomes. Ownership-driven. You take responsibility for systems end-to-end, including reliability and operational health. Technically curious. You enjoy learning new technologies and thoughtfully evaluating emerging approaches. Quality-focused. You value clean, maintainable code, strong testing practices, and production-ready engineering standards. You Bring: Core Engineering Skills Experience building and supporting production software systems Strong understanding of APIs, distributed systems, and cloud-native architecture Comfort working in modern CI/CD environments Experience with observability, monitoring, and incident response Ability to own features and systems end-to-end AI-First Mindset Actively uses AI development tools (code copilots, AI debuggers, test generators) Curious about applying AI to real customer and business problems Able to critically evaluate AI outputs instead of blindly accepting them Comfortable learning and adapting in a fast-changing tool landscape Technical Experience (One or More) Backend development (Java, Kotlin, Go, Python, .NET, Ruby, or similar) Frontend experience (React, TypeScript) is a plus AWS or similar cloud platforms Microservices and event-driven architectures SQL and data-driven applications You Will: Design, build, and operate scalable services that power U.S. marketplace workflows such as Buy Now, 45M, Simulcast, and DealerBlock Develop APIs and backend services on the modern, cloud-native, AI-enabled platform Embed AI-driven capabilities into marketplace features including pricing logic, negotiation flows, and workflow automation Use AI tools to accelerate coding, testing, debugging, and documentation while applying strong engineering judgment Partner with Product to translate business needs into durable, scalable technical solutions Participate in on-call rotations and support live production systems Improve system reliability, performance, security, and observability Contribute to technical direction, engineering standards, and long-term platform evolution How You’ll Use AI in These Roles: AI-assisted coding and refactoring AI-generated test coverage and validation AI-supported debugging and root-cause analysis AI-assisted documentation and knowledge sharing Applying AI tools to reduce repetitive work and increase engineering leverage Who You Will Work With: Reporting to an Engineering Manager, this role collaborates closely with Product Managers, Data Engineers, Infrastructure, and Site Reliability Engineering (SRE) teams on a daily basis Must Have’s: 5+ years of experience building and supporting production software systems Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience) Experience building and supporting production software systems Backend development (Java, Kotlin, Go, Python, .NET, Ruby, or similar) Strong understanding of APIs, distributed systems, and cloud-native architecture Comfort working in modern CI/CD environments Experience with observability, monitoring, and incident response Ability to own features and systems end-to-end Actively uses AI development tools (code copilots, AI debuggers, test generators) Curious about applying AI to real customer and business problems Able to critically evaluate AI outputs instead of blindly accepting them Comfortable learning and adapting in a fast-changing tool landscape Nice to Have’s: Frontend experience (React, TypeScript) AWS or similar cloud platforms Microservices and event-driven architectures SQL and data-driven applications Marketplace, e-commerce, or high-volume transaction systems Reliability engineering or SRE experience Experience modernizing or migrating legacy systems What We Offer: Competitive pay Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US) Immediately vested 401K (US) or RRSP (Canada) with company match Paid Vacation, Personal, and Sick Time Paid maternity and paternity leave (US) Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US) Robust Employee Assistance Program Employer paid Leap into Service Day to volunteer Tuition Reimbursement for eligible programs Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization Company culture of internal promotions, diverse career paths, and meaningful advancement Sound like a match? Apply Now - We can't wait to hear from you! Compensation Range of Annual Salary: $125,000.00 - $175,000.00(Depending on experience, skill set, qualifications, and other relevant factors.) Originally posted on Himalayas

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Distingue los requisitos imprescindibles de las preferencias. Comprueba la jornada, la retribución y la ubicación cuando se indiquen. Un puesto remoto puede exigir residencia en un país, autorización para trabajar o coincidencia horaria. Confirma la oferta y las condiciones completas con la empresa.

Elige ejemplos reales de tu experiencia que respondan a los requisitos del puesto. Explica tu aportación y utiliza cifras solo cuando puedas justificarlas. Sigue las instrucciones de la empresa y revisa los datos de contacto, el contenido y el PDF antes de enviar la candidatura.

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Preguntas sobre la búsqueda de empleo

¿Por qué algunas ofertas están en inglés?

Las empresas publican sus propios títulos y descripciones. Conservamos ese texto para no alterar requisitos o condiciones. La navegación y esta guía están en español. Si una búsqueda en español no encuentra ofertas, prueba también el título o la competencia en el idioma del anuncio, por ejemplo «software engineer».

¿Un puesto remoto permite trabajar desde cualquier país?

No necesariamente. La empresa puede limitar los países de residencia, exigir autorización para trabajar o fijar un horario. Comprueba estos puntos en la oferta original. Si no aparecen, consúltalos con la empresa antes de asumir que puedes trabajar desde tu ubicación.

¿Qué hago si no aparecen resultados?

Prueba un título más general o una sola competencia y elimina los filtros de uno en uno. Los nombres de los puestos varían entre empresas. Si una oferta concreta ha desaparecido, busca su referencia en la página de empleo de la empresa; ampliar los filtros no recupera una vacante cerrada.

¿La candidatura se envía desde ResumizeAI?

El botón de solicitud abre un destino externo. Sigue las instrucciones de la empresa o del proveedor de selección y confirma allí el envío. Preparar un currículum en ResumizeAI no equivale a presentar una candidatura. Si el enlace solo abre la web de la empresa, busca la vacante antes de continuar.

¿Cómo adapto el currículum y la carta de presentación?

Relaciona los requisitos con proyectos, tareas y resultados que puedas explicar. Destaca lo relevante sin inventar experiencia ni copiar competencias que no tienes. En la carta, explica tu interés y aporta un ejemplo concreto. Respeta el idioma y el formato pedidos y revisa ambos documentos antes de enviarlos.