MongoDB

5 months ago

Senior Software Engineer, Forward Deployed AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Senior Forward Deployed Engineer at MongoDB will evaluate, build, and apply tooling for application modernization projects, work with client teams to drive migrations using MongoDB and AI-enabled tooling, contribute to tool prototyping and product roadmap, and occasionally travel to customer sites across Europe while collaborating with Product, Engineering, and Professional Services.

Location: Ireland, Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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

Travel: Low travel

Pay and Benefits

Perks:Parental LeaveFertility Assistance

Key Requirements

•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 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

Experience:4+ yearsEnterprise softwareApplication modernizationMongoDB

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:JavaC#SQLOracleMS SQL ServerSybasePostgreSQLMongoDBJSONGenerative AIOpenAI APICursorClaude CodeGemini

Company Brief

MongoDB

Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn

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MongoDB

5 months ago

Senior Software Engineer, Forward Deployed AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Ireland, Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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

Travel: Low travel

Pay and Benefits

Perks:Parental LeaveFertility Assistance

Key Requirements

•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 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

Experience:4+ yearsEnterprise softwareApplication modernizationMongoDB

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:JavaC#SQLOracleMS SQL ServerSybasePostgreSQLMongoDBJSONGenerative AIOpenAI APICursorClaude CodeGemini

Company Brief

MongoDB

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn