
1001 - 5000 employees
Founded 2007
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
MongoDB is a leading developer data platform provider known for its powerful and flexible document database. MongoDB 8. 0, the latest version, boasts 36% higher throughput and enhanced security features, making it the fastest iteration yet. It offers a comprehensive suite of tools and services including MongoDB Atlas, a fully managed cloud database, and Community Edition for local development. MongoDB is popular among developers and enterprises for its ability to support a range of use cases from artificial intelligence to gaming and healthcare. It simplifies the development of modern applications with its versatile platform, allowing integration with various technologies to drive innovation. MongoDB's community and extensive documentation further support developers globally.
đ„ 52 minutes ago
đŁïžđ«đ· French Required
Where this job comes from
Posted on MongoDB's careers page, not through a job board
First seen by Remote Rocketship 52 minutes ago
Still open on MongoDB's site. Checked 8 minutes ago.

1001 - 5000 employees
Founded 2007
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
MongoDB is a leading developer data platform provider known for its powerful and flexible document database. MongoDB 8. 0, the latest version, boasts 36% higher throughput and enhanced security features, making it the fastest iteration yet. It offers a comprehensive suite of tools and services including MongoDB Atlas, a fully managed cloud database, and Community Edition for local development. MongoDB is popular among developers and enterprises for its ability to support a range of use cases from artificial intelligence to gaming and healthcare. It simplifies the development of modern applications with its versatile platform, allowing integration with various technologies to drive innovation. MongoDB's community and extensive documentation further support developers globally.
âą Shape architecture and technology strategy across AMP modernization projects and workstreams âą Lead assessment and modernization of legacy Java applications âą Uncover dependencies, embedded business logic, integration points, and operational constraints âą Recommend fit-for-purpose modernization paths âą Design, implement, and review production-quality solutions using Java and Spring Boot âą Build APIs and integrations, decompose monoliths, transform stored procedures, evolve schemas, and apply MongoDB operational practices âą Establish incremental delivery practices using acceptance criteria, automated testing, CI/CD, observability, and rollback or dual-run strategies âą Identify and guide resolution of quality, security, performance, and reliability risks âą Serve as a senior technical partner to customers, application owners, and account and project stakeholders âą Mentor engineers, raise engineering standards, create reusable migration playbooks and documentation, and apply GenAI advancements responsibly âą Work in an Agile environment delivering solutions that migrate legacy relational Java applications to cloud-based MongoDB architecture
âą Professional fluency in French is required âą Bachelorâs degree in Computer Science, Information Technology, or a related field, or equivalent practical experience âą Typically 8+ years of progressive experience designing, building, and delivering Java applications, including significant experience leading complex application modernization initiatives âą Expert understanding of Java fundamentals, object-oriented design, concurrency, error handling, performance considerations, and maintainable software architecture âą Deep production experience with Spring Boot and related patterns for resilient services, APIs, integrations, and testable distributed applications âą Ability to assess legacy estates, decompose monoliths, uncover dependencies and embedded business logic, and define practical modernization strategies âą Strong experience with relational databases and SQL, including stored procedures, data dependencies, data migration, schema evolution, and relational-to-document modeling for MongoDB or comparable document databases âą Experience with Agile methodologies, test-first development, CI/CD pipelines, Git-based version control, observability, and reliability practices âą Demonstrated success mentoring engineers and influencing technical outcomes across teams âą Willingness to participate in enhanced background checks and security screenings, and comply with possible securities-trading constraints
âą Employee affinity groups âą Fertility assistance âą Generous parental leave policy âą Supportive and enriching culture âą Necessary accommodations for individuals with disabilities during the application and interview process
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