Senior Software Engineer

Mongodb · New York Citysenior

En corto

▸Diseñar y construir el motor de procesamiento de flujos en C++ que impulsa Atlas Stream Processing.
▸Trabajar en un equipo pequeño con autonomía, responsable del motor de ejecución y etapas de procesamiento de datos en tiempo real.
▸Destacar por tener un impacto directo en un producto en crecimiento con tecnología de punta en bases de datos y streaming.

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¿Qué piden?

✓5+ años en construcción de servicios de bases de datos, sistemas distribuidos o servicios de nube fundamentales a gran escala.
✓Experiencia comprobada en diseño, escritura, pruebas, depuración y optimización de rendimiento en sistemas distribuidos o altamente concurre
✓Conocimiento profundo de los fundamentos de la informática y sistemas de procesamiento de datos (ej. ejecución de consultas, motores de alma
✓Habilidad para comunicarse técnicamente por escrito y verbalmente, colaborar y mentorear a otros ingenieros.
✓Capacidad demostrada para identificar problemas, implementar soluciones y entregar proyectos complejos en sistemas distribuidos o bases de d
✓Sentido fuerte de propiedad, responsabilidad y orgullo por el trabajo entregado.

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

C++MongoDBAggregation FrameworkAtlas Stream ProcessingDistributed SystemsCloud ServicesQuery ExecutionWorkload OptimizationAutotuningHighly Concurrent Software

¿A quién escribirle en Mongodb?

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

Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds on MongoDB’s integrated developer data platform, so developers can stand up a stream processor and database with just a few API calls and lines of code, all fully managed. Our product is quickly gaining traction, and we are adding core features that you will contribute to and own. The team owns the C++ stream processing engine that powers Atlas Stream Processing, built on top of MongoDB's Aggregation Framework. The team operates like a startup within the company, a small group with real autonomy, responsible for everything from the core execution engine and stream processing stages . We’re looking for a Senior Software Engineer to design, build, and evolve this execution engine. Position Expectations • Design, build, and deliver core components of the system in collaboration with other stakeholders • Help shape architecture, development practices, and escalation policies as the teams and the product grow • Mentor fellow engineers and assume ownership and accountability of projects Qualifications • Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization) • 5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale • Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational material of computer science, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases • Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability • Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or databases • Strong sense of ownership, accountability, and pride Nice to have • Hands‑on modern C++ experience in performance‑sensitive systems • Background with stream processing or query engines. Exposure to systems such as Flink, Spark, Beam, Kafka Streams, or database query engines About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance

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