The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes.

We're seeking a Senior Software Engineer to join our team to tackle exciting challenges within the Observability space. 

You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases.

This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we’d love to have you on board!

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

We're looking for someone who

• Has at least 5 years of experience as a backend or full stack engineer
• Enjoys collaboration and being part of a team
• Is approachable, curious, and intellectually honest
• Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend
• Has written backend systems in a compiled language (Java, C#, Go, etc.)
• Has experience with the design and architecture of a modern, scalable web application
• Enjoys chasing down difficult problems in a distributed environment and on an database diagnostic/operation level 
• Always strives to expand their knowledge and keeps up to date with new technologies
• Is familiar with debugging and troubleshooting production issues 
• Strong understanding of algorithms, data structures and their time and space complexity

Nice to Haves

• Has worked with distributed event streaming platforms like Kafka or WarpStream and/or event processing platforms like Flink
• Experience developing and writing code observability tools
• Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies
• Knowledge of database internals and tuning mechanisms, particularly indexing

Role Responsibilities

• Design, write and maintain Observability code and features
• Contribute to and lead complex technical projects
• Investigate large scale distributed production issues
• Collaborate with team members to develop our codebase, best practices and design principles
• Work with customers and support engineers to fix issues and become part of our on-call rotation 
• Mentor junior team members

Success Measures

• In 1 month, you'll be familiar with the parts of the system that your team owns, the existing features, and projects within the Observability team and have contributed minor tasks within our codebase
• In 3 months, you will be contributing to design and development of your team’s projects and starting to ship tickets regularly 
• In 6 months, you will have ramped up enough to take on medium+ sized projects, contribute actively in our technical discussions and proactively improve our codebase and products. You will be supporting our customers during escalations and have joined our on-call rotation

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 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!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426170

The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity.

We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test.

This role will be based out of North America.

A strong candidate for this position will have:

• Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments
• Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL
• Experience with tools and methodologies for code analysis, refactoring, and automated testing
• Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance
• Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear understanding of appropriate use cases for GenAI
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Experience in leading the design and development of complex workflow for AI model integration and output processing.
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Position Expectations

• Strategic Partnership: Partner with product managers, AI researchers and other engineers to translate complex requirements into robust technical solutions. Guiding the team through technical challenges related to autonomous code transformation
• Architectural Leadership: Drive the architectural vision and technical strategy for code gen tools. Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Act as a hands-on leader, contribute core, foundational code that solves the hardest problems and sets the standard for the rest of the team
• Product Excellence: Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and AMP customers' pain points in modernizing legacy applications
• Established yourself as the technical leader within the team, actively driving technical decisions
• Begun collaborating with product counterparts and the code gen team to drive execution strategies on committed deliverables

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of a major feature for code transformation
• Contributed to and helped define and scope roadmaps for code gen deliverables
• Established a precise rhythm of execution, and served as a key stakeholder of the code gen team for guiding and reviewing technical designs

Within 12 months, you will have:

• Become recognized as the go-to technical expert for code gen domain
• Delivered a stable, production-ready code transformation workflow that significantly reduces frictions of the application modernization workload for our Field Engineering and Delivery teams
• Played a crucial role in helping recruit, interview and mentor new team members

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 425546

The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity.

We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test.

This role will be based out of North America.

A strong candidate for this position will have:

• Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments
• Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL
• Experience with tools and methodologies for code analysis, refactoring, and automated testing
• Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance
• Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear understanding of appropriate use cases for GenAI
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Experience in leading the design and development of complex workflow for AI model integration and output processing.
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Position Expectations

• Strategic Partnership: Partner with product managers, AI researchers and other engineers to translate complex requirements into robust technical solutions. Guiding the team through technical challenges related to autonomous code transformation
• Architectural Leadership: Drive the architectural vision and technical strategy for code gen tools. Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Act as a hands-on leader, contribute core, foundational code that solves the hardest problems and sets the standard for the rest of the team
• Product Excellence: Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and AMP customers' pain points in modernizing legacy applications
• Established yourself as the technical leader within the team, actively driving technical decisions
• Begun collaborating with product counterparts and the code gen team to drive execution strategies on committed deliverables

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of a major feature for code transformation
• Contributed to and helped define and scope roadmaps for code gen deliverables
• Established a precise rhythm of execution, and served as a key stakeholder of the code gen team for guiding and reviewing technical designs

Within 12 months, you will have:

• Become recognized as the go-to technical expert for code gen domain
• Delivered a stable, production-ready code transformation workflow that significantly reduces frictions of the application modernization workload for our Field Engineering and Delivery teams
• Played a crucial role in helping recruit, interview and mentor new team members

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 425546