Senior Software Engineer, Backend (Lakehouse Infra)

Affirm·Remote CanadaRemotosenior

En corto

→Ingeniero backend senior que construye infraestructura de lakehouse escalable para datos críticos de negocio.
→Trabajas con tecnologías como Iceberg, Flink, Kafka, Spark, Snowflake y AWS en entornos distribuidos de alta disponibilidad.
→Destacan los sistemas de datos que impulsan ML, producto y finanzas en una empresa en crecimiento acelerado.

Strong verbal and written communication skills in English

✓ Gratis para empezar✓ Corre en tu navegador✓ Primer dossier sin tarjeta✓ Listo en ~1 minuto

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Tu primer dossier es gratis.

Las preguntas que te van a hacer

1. ¿Cómo diseñarías una arquitectura de lakehouse para soportar millones de eventos diarios con baja latencia y alta fiabilidad usando Iceberg y Kafka?

🔒 +7 preguntas más

Sin tarjeta. Subís tu CV y en ~1 minuto tenés el dossier completo.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

💵 USD · Remote · No visa

¿No encontrás lo que buscás? Probá Micro1

Micro1 te ubica directo en empresas de EE. UU. que pagan en USD. Un solo proceso de vetting, múltiples ofertas — sin aplicar en frío.

Que Micro1 te matchee →

📬Vacantes elegidas para TU CV, cada mañana por WhatsApp. Gratis: escribí “vacantes” y el bot te manda tus matches del día. Suscribirme →

¿Qué piden?

✓4+ años de experiencia en sistemas backend a escala con Python o Kotlin
✓Experiencia comprobada en sistemas distribuidos con AWS, MySQL y Kubernetes
✓Conocimiento profundo de tecnologías como Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, Terraform
✓Capacidad para diseñar soluciones técnicas elegantes y escalables
✓Habilidad para liderar cambios en grandes bases de código con herramientas seguras
✓Comunicación clara y colaboración efectiva con equipos globales

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonKotlinAWSMySQLKubernetesIcebergFlinkAirflowSparkKafka

¿A quién escribirle en Affirm?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do • You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. • You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. • You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. • You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. • You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. • You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For: • You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. • You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes. • Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform. • You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. • You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. • Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. • You have strong verbal and written communication skills that support effective collaboration with our global engineering team. • This position requires either equivalent practical experience or a Bachelor’s degree in a related field. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador,

¿Buscando algo parecido?

Dejá tu email y te avisamos cuando salgan vacantes que coincidan con tu perfil.

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.