Senior Software Engineer, Forward Deployed AI Engineer
Senior · Гибрид · Ирландия · Английский B2
Навыки
AI-инструменты в работе
AWS
Azure
Коммуникация
C#
Customer Success
Google Cloud
Ещё 12
Java
JSON
Лидерство
Микросервисы
MS SQL Server
Oracle Database
PostgreSQL
Решение задач
REST API
Роадмап
SQL
Хранимые процедуры
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
Contribute to customer application modernization initiatives at any or all phases of the application lifecycle: assessment and analysis
planning and design
data modeling
application code conversion, development, test and build
integration and release configuration, production operations, application optimisation, and best practices adoption
Test drive MongoDB migration products to deliver on customer use cases and drive adoption of the product
Deliver concise feedback to the rest of the development organisation
Work closely with Product and Engineering teams to influence the direction of the MongoDB product roadmap
Personally execute POCs including developing or extending existing tools when necessary and appropriate for customer success, with an eye towards reusability and eventual integration with our products
These are often on premises at client locations
Maintain a broad and deep technical understanding of the product line and the underlying technologies and protocols
Work as part of a wider delivery team comprising consulting engineers from MongoDB Professional Services, project managers, and account teams
Assist sales teams in evaluating opportunities with prospects and customers
Willingness to work on site with customers for 7 days per month, which includes regional travel (within Europe)
Success Measures
The Senior Forward Deployed Engineer will be successful in this role when they can execute the following strategic tasks/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 support
Требования
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 time intensive and often risky
Tooling based on generative AI promises to accelerate these transformations in a way never seen before
Forward Deployed 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 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
Our ideal candidate will have
4+ years of experience as a field engineer or professional services consultant or full stack developer working directly with Enterprise clients
Proficiency in Java or C#, and some familiarity with common database access patterns and frameworks in one or more of these languages
Strong knowledge about enterprise-scale software architectures, application development methodologies, and software deployment and operations
Experience developing enterprise applications using relational databases, and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases
Experience of using and developing with MongoDB and JSON based Document models is highly desirable
Problem solving skills, including the ability to collaborate across disciplines and teams to come up with creative solutions to technical and business challenges
Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to the table to solve customer problems
Great communication skills (both spoken and written), within the team and in customer meetings
Good understanding of Generative AI concepts, tools, and services
Any experience to build new applications/tools using Generative AI is a big plus
That includes Cursor, Claude Code, Gemini, and OpenAI APIs
And finally, a strong interest in how AI supported toolchains can improve application development
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликации1 разпубликаций всего: 2
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данных166 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвычитано из текста вакансии
Формат работыГибридвычитано из текста вакансии
ГеографияИрландиявычитано из текста вакансии
Зарплата≈ 19 917 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
2
Посмотреть публикации и даты
greenhouseПовторная публикация · 2025-11-20
greenhouseОсновная публикация · 2026-02-05
M
Работодатель
MongoDB
50 активных вакансий · вилка работодателя указана в 6%