Senior Python Engineer

Навыки

• AWS
• Azure
• Django
• Google Cloud
• GitHub
• Лидерство
• Machine Learning

О компании и продукте

• 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 75% of the Fortune 100 and AI-native startups, 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 and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!

Задачи

• Our Database Experience (DBX) Team
• A great MongoDB experience starts with great tools
• The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB
• Writing and maintaining open source specifications defining common behavior and APIs shared across all of our drivers
• Investigating bugs and support requests from commercial customers, open source users, and internal users for the libraries our team maintains
• Within one month, you will understand the high-level architecture of the drivers and how MongoDB works, and will have completed a few small bug fixes and/or feature tickets
• Within three months, you will be contributing effectively day-to-day, fixing bugs, implementing features, investigating and responding to open source user and customer issues, and reviewing your peers' code
• Within six months, you'll have implemented major, planned new features, contributed to our common driver specifications, shipped a major feature in an open source library, and will be collaborating with the Product team to help craft our roadmap
• Within twelve months, you'll have significantly improved the quality, performance and maintainability of our codebase, and will be taking the lead in designing and specifying major new features

Требования

• Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus
• Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work
• Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time
• Want to, or already do, participate in open source software development and communities, both online via e.g
• GitHub and optionally through conferences and speaking engagements
• Communicate well, internally and externally, both verbally and in writing
• Enjoy collaborating with teammates, and mentoring junior engineers and interns
• Are self-motivated, organized, and have strong time management skills
• You'll be on the team responsible for
• Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django MongoDB Backend , PyMongoArrow , LangChain MongoDB ) and related software, collaborating with peers in our distributed world-wide engineering team

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.