• Design, develop, and maintain applications and services • Contribute to the development of backend services using C#, .NET • Apply strong engineering practices related to object-oriented design, security, performance, and maintainability • Research, evaluate, and recommend new technologies to enhance existing systems • Ensure code quality, scalability, and performance across developed solutions • Focus on quality, automation, code best practices, and supporting the team to improve • Apply AI-driven approaches where relevant to automate workflows and enhance efficiency • Work on the equipment provided by the client (MacBook Pro)

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What We Do On the HD Maps team, we are at the forefront of geospatial big-data analytics and insights for customer market segments and product offerings. Our expertise is pivotal in deploying GIS algorithmic stages into scalable production cloud applications, leveraging platforms like AWS and Spark. We work on Mapbox's award-winning high-precision maps (“HD Maps”) product family, spanning across ADAS, AV, and Non-Automotive GIS data customers in numerous projects. We cover everything from data and systems analysis to automotive and cloud application architecture, including compute, storage, cost, and performance assessments. What You'll Do - Lead the initiation, design (requirements and specifications), and building of the product roadmap for algorithmic stages within cloud applications. - Code and develop relevant algorithmic stages within cloud applications, utilizing technologies such as Python, SQL, AWS, and Spark, while ensuring high scalability. - Collaborate across multiple R&D teams to seamlessly integrate analytics solutions into our mapping products. - Work closely with engineering teams to align product development with strategic objectives. - Engage in direct communication with trend-setting customers and automotive OEMs in EU, US, Japan, and China, as well as suppliers like automotive Tier 1 companies and Mapping firms. - Collaborate with business development teams to ensure that the product roadmap and design align with customer needs and market trends. What We Believe are Important Traits for This Role - Bachelor's or Master's degree in Computer Science, Data Science, Geographic Information Systems (GIS), or a related field. - Proficiency in Python or other programming languages commonly used in data analysis and cloud application development. - Experience deploying GIS algorithms within scalable cloud applications, preferably on platforms like AWS and Spark. - Solid understanding of geospatial data concepts and tools (GeoJSON, PostGIS, QGIS, etc.). - Familiarity with data visualization libraries (e.g., Matplotlib, Plotly, D3.js) to effectively communicate insights. - Strong problem-solving skills with meticulous attention to detail. - Excellent communication skills and a proven ability to collaborate effectively across cross-functional teams. Nice to Have Traits for This Role - Prior experience in the mapping, navigation, or automotive industry. - Knowledge of machine learning techniques for geospatial data analysis. - Contributions to open-source geospatial or data analysis projects. What We Value In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to speak to Jack. Job Title: Founding Engineer - Backend & Data Platform Salary: $175,000 - $225,000 + Equity Company Description: Greenline - Fast-growing fintech startup Job Description: As a Founding Engineer, you will architect the foundational data platform that unlocks mortgage lending for 16.5 million self-employed Americans. You'll build resilient ingestion pipelines for banking and tax data, design scalable microservices in Postgres, and enable ML-driven insights that transform hours of manual review into minutes of automated processing. Location: San Francisco, Austin, NYC, or Remote, USA Why this role is remarkable: - Take 0→1 ownership of a greenfield data backbone at a nimble, high-agency startup composed of former Airtable and Opendoor engineers. - Directly impact the lives of millions of underserved borrowers by automating complex non-QM mortgage underwriting through innovative AI-driven infrastructure. - Receive a founding team title with an aggressive equity package and high architectural influence over the entire product lifecycle and technical roadmap. What you will do: - Design and implement robust data ingestion and normalization pipelines for third-party financial sources like Plaid, the IRS, and accounting platforms. - Architect performant backend systems for asset serving, authentication, and complex relational data modeling using Postgres and GraphQL. - Productionize ML-driven signals by implementing feature extraction pipelines and integrating classification and anomaly detection models into core workflows. The ideal candidate: - Proven experience building and operating event-driven data systems and complex APIs at early-stage startups where they wore many hats. - Expert-level proficiency in relational database design and a deep understanding of data correctness, auditability, and long-lived data contracts. - Practical familiarity with ML fundamentals including feature engineering and model evaluation, with the ability to consume and debug ML-driven systems effectively. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

En EPAM NEORIS, creemos que la transformación empieza por las personas. Hoy, como parte de EPAM, ampliamos nuestro alcance global y nuestras capacidades, pero mantenemos lo más importante: una cultura donde cada persona puede crecer, aportar y ser protagonista. No buscamos solo cubrir puestos. Buscamos incorporar talento que quiera superarse, aprender constantemente y dejar huella en cada proyecto. Somos un equipo diverso, inclusivo y en constante evolución. Impulsamos ideas, no jerarquías. Apostamos por el desarrollo real de cada persona. Si quieres trabajar en un lugar donde tu crecimiento importa tanto como los resultados, te estamos buscando. Respaldados por más de 60,000 profesionales en más de 55 países y un sólido modelo Nearshore, conectamos capacidades globales con confianza local para generar impacto real, crecimiento sostenible y resultados de alto valor para nuestros clientes. Estamos en búsqueda de: Backend Developer Java Principales responsabilidades: • Diseñar, desarrollar y mantener APIs REST y microservicios backend en entornos de pagos digitales. • Implementar nuevas funcionalidades y evolucionar servicios existentes relacionados con tokenización, autenticación en e-commerce y lectura de códigos QR. • Analizar requerimientos técnicos y funcionales, proponiendo soluciones viables junto al equipo de desarrollo y arquitectura. • Colaborar de forma activa con equipos de frontend, arquitectura y otros sistemas del entorno bancario. • Escribir, mantener y ejecutar pruebas automatizadas (unitarias, integración y end-to-end) asegurando la calidad del software. • Participar en revisiones de código y en procesos de certificación de soluciones con marcas de pago. Requerimientos: Excluyentes: • Experiencia mínima de 4 años como Backend Developer. • Experiencia sólida en desarrollo con Java y Spring Boot. • Experiencia en diseño y construcción de APIs REST y servicios backend. • Conocimiento práctico de arquitecturas de microservicios. • Experiencia con Git y control de versiones. • Experiencia en proyectos gestionados con Maven. • Conocimientos en testing automatizado: unitarios, integración y E2E (JUnit, Mockito u otros). • Experiencia trabajando con metodologías ágiles (Scrum, Agile, Kanban). Deseables: • Experiencia desarrollando con Kotlin. • Experiencia trabajando en entornos cloud, preferiblemente AWS. • Conocimiento de entornos bancarios o plataformas internas. • Conocimientos en bases de datos, preferentemente Oracle. • Experiencia en sistemas de pagos o procesos de certificación con marcas. • Conocimientos en Python. • Experiencia en el uso de herramientas basadas en IA para el desarrollo de software. Ofrecemos • Contrato indefinido con salario competitivo • Modalidad flexible y posibilidad de trabajo remoto. • Plan de carrera personalizado y formación continua • Participación en proyectos estables con alto componente técnico. • Flexibilidad horaria y enfoque en la conciliación. • Beneficios sociales adaptados a tus necesidades Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS. #LI-RD1