Senior Forward Deployed AI Engineer
at MongoDB
Berlin, Berlin, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 17 Feb, 2025 | Not Specified | 17 Nov, 2024 | 5 year(s) or above | Good communication skills | No | No |
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Description:
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
MongoDB is looking for an outstanding person to join our newly created Field Engineering team and take on a key role in our extended R&D organization. Field Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams.
This role can be based out of our Berlin office or remotely in the Germany region.
Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB.
Such transformations are very time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Field Engineering is responsible for exploring the possibilities of Generative AI technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem.
Application Modernization Field Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the product roadmap.
Responsibilities:
- Become an expert level user of MongoDB, and our tools current migration products
- Develop a playbook for customer application modernization engagements, in collaboration with other MongoDB Engineers, Product Management and Engineering
- Communicate complex technical proposals simply and convincingly to a wide range of audiences
- Provide unique insight into customer needs, product requirements and strategic opportunities by contributing experience from the field
- Gain the reputation as a trusted advisor with our field teams and customers
- Contribute to the success of customer application migration initiatives that they suppor
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Computer Software/Engineering
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Proficient
1
Berlin, Germany