Staff Engineer, Query Optimization

Mongodb · United Statessenior

En corto

▸Ingeniero de staff especializado en optimización de consultas en un sistema distribuido de base de datos con esquema flexible.
▸Diseño y desarrollo del núcleo del optimizador de consultas, con impacto directo en rendimiento para cargas transaccionales, de series de tiempo y analíticas.
▸Puesto líder con alto grado de autonomía, influencia estratégica y trabajo en un equipo global con presencia en EE.UU. y Europa.

Proficiency in English is required for collaboration across global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓10+ años de experiencia en sistemas de gestión de datos, sistemas distribuidos o ingeniería de backend a gran escala
✓Experiencia con código de producción de alto volumen y calidad rigurosa
✓Título en Ciencias de la Computación o experiencia práctica equivalente con fuertes conocimientos en estructuras de datos, algoritmos y dise
✓Experiencia con grandes bases de código en C++ u otro lenguaje de programación de sistemas
✓Conocimiento fundamental sobre internos de bases de datos, con experiencia en compiladores, transpiladores o sistemas de almacenamiento dist
✓Capacidad para liderar y guiar decisiones técnicas y arquitectónicas en un entorno colaborativo global

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

C++distributed systemsquery optimizationquery executionquery planningMongoDB Query Languageschema flexibilitytransactional workloadstime-series workloadsanalytical workloads

¿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.

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection. We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database. This role can be based out of our US offices or remotely in the North America region. Candidate Profile • 10+ years of experience in data management systems, distributed systems, or large-scale backend engineering • Experience with building production-level code with a large user base, robust design structure and rigorous code quality • Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture • Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system • A strong foundation in core database internals is essential. While direct experience in query optimization is a massive bonus, it is not a prerequisite. We are also excited to meet candidates with strong backgrounds in compilers, language transpilers, or distributed storage systems Position Expectations • Innovate in the area of flexible schema databases. Help us build a world-class query optimization system • Research state-of-the art query systems to inform our design • Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction • Set initiative level strategy, architect plans, and lead the team towards successful execution • Advise and partner with management on roadmap decisions, processes, and architectural designs • Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics, and integration with other products and tools • Work with other engineers to coordinate seamless changes in a feature-rich, large code base • Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects • Influence and grow team members through active mentoring, coaching and leading by example Success Measures • In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system • In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems • In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team About Mo

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