
Mongodb · Cork
The Enterprise Advanced team is a diverse group of individuals across Europe and India, who develop software to run MongoDB on any type of infrastructure at glo...
The Enterprise Advanced team is a diverse group of individuals across Europe and India, who develop software to run MongoDB on any
type of infrastructure at global scale. Our software and services allow users to deploy fault-tolerant, globally distributed
MongoDB clusters in minutes.
The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private
cloud platforms, while offering cutting edge capabilities to our self-managing customers.
You will work on the core functionality for all of our products, mainly on the Ops Manager, Cloud Manager, and Automation
products. Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge
amounts of data.
We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. This role will report to an
Engineering Manager based in Poland.
senior members of your team
and/or container orchestration platforms (Docker, Kubernetes, Openshift)
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!
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.
Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsystems. Our global team is growing fast. In North America, we have a presence across the US and Canada including New York, West Coast, Toronto. In Europe, we have a presence in Dublin, Germany, France, Netherlands, UK, Bulgaria, Spain and Italy currently. We support office-based and remote work and align projects with convenient work hours. We have tons of interesting problems to solve with direct impact on users for transactional, time-series and analytical workloads. We need your help to design and build the heart of a distributed, flexible schema, document database. This role can be based out of our Dublin or Cork office or remotely within Ireland CANDIDATE PROFILE * 3+ years of experience in data intensive environments * Hands-on experience building industrial-strength software * Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture * Experience with large code bases * B.Sc in Computer Science or similar field, or equivalent practical experience * Experience in developing database systems is a plus * Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus POSITION EXPECTATIONS * Understand and improve current functionality of the MongoDB query engine * Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools * Work with other engineers to coordinate seamless changes in a feature-rich, large code base * Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects SUCCESS MEASURES * In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series * In six months, you’ll have taken on code review responsibilities and are involved in reviewing the design for new features * In twelve months, you’re making significant contributions to the development of a new major features 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 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! 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: 1273423068
Atlas Growth is a cloud engineering group whose mission is to guide customers through their app development journey—from cluster configuration, data modeling and load testing, to running a production workload at scale. We use an in-house experiments platform which helps us validate our features quickly, releasing only the work that positively impacts our customers. Our engineers participate in cross-functional “squads” with product, design, analytics, and research focusing on a single metric (e.g. retention). Our engineering team is part of a larger Atlas Core Engineering org, building foundational elements of MongoDB’s developer data platform. Atlas Growth 2 builds customer-facing features in Atlas and sits alongside other Growth engineering teams. Recent projects include an AI Chatbot for cluster creation, a recommendation system that offers tips for better database performance, and a pricing page designed to optimize conversion rates. This role can be based out of our Dublin or Cork offices, or remotely in Ireland. ROLE OVERVIEW Atlas Growth seeks a mid-level software engineer (Software Engineer 3). SE3s are solid contributors to projects they work on and often lead projects of their own. They act in accordance with MongoDB’s core values and leadership principles, and are actively working toward a Senior role. CANDIDATE PROFILE * 3+ years of software engineering experience, with fluency in TypeScript/JavaScript, and experience with a modern framework (e.g. React) * Proficiency in Java, Go, C++/C, or a similar compiled language is a plus * Experience writing database queries, either document-based or relational * Experience writing and reviewing technical specs, and leading small projects * Interest in A/B testing or product design EXPECTATIONS * Contribute readable and well-tested code to ongoing projects * Collaborate closely with product and design partners to implement and iterate on new customer facing features * Write scope and technical spec docs for new projects assigned by your manager. Lead small working groups of two or three engineers for these projects * Participate actively and constructively in code and document reviews * Help product management identify improvements for features you own and drive them to completion * Triage incoming support requests and alerts for products you own, and participate in group-wide on-call rotation once onboarded 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 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! 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: 2273494494
We’re looking for a mid-level Software Engineer (Software Engineer 3) to join the Atlas Growth Platforms team, focused on enabling data-informed decision making and accelerating growth across MongoDB Atlas. This team is responsible for key infrastructure powering experimentation, service configuration, and partner integrations that shape the user experience and drive business impact at scale. In this role, you'll work primarily on backend services (80%), with opportunities to contribute to frontend systems (20%) that power our A/B testing platform, feature flagging service, analytics pipelines, and partner integrations. You'll collaborate closely with Product, Analytics, and other engineering teams to build and scale services that deliver targeted experiences and personalized recommendations for our users. You’ll also contribute to the evolution of our experimentation framework and play a role in shaping how we partner with external platforms to grow our ecosystem and reach new customers. We are looking to speak to candidates who are based in Dublin for our hybrid working model. RESPONSIBILITIES * Design, build, and maintain scalable backend services that power feature flagging, experimentation, and analytics infrastructure for MongoDB Atlas * Develop and evolve APIs, data models, and pipelines that support experimentation, personalization, and partner integrations * Contribute to components that enable internal teams to easily run experiments and analyze their impact * Improve observability, reliability, and performance across our systems, especially in the context of experimentation and service configuration at scale * Lead and participate in technical design discussions and code reviews, and mentor other engineers * Uphold engineering best practices and help drive a culture of quality, customer focus, and continuous learning * Participate in the 24/7 team on-call rotation up to once per quarter, responding to critical incidents and ensuring service reliability with support from team playbooks and escalation paths * Own our core values and leadership principles in all that you do BASIC QUALIFICATIONS * 3+ years of professional software engineering experience, including backend development with a compiled language such as Java or C# * Hands-on experience with modern JavaScript libraries and frameworks * Solid understanding of distributed systems and experience designing APIs and services in a microservice environment * Strong collaboration and communication skills; able to work cross-functionally with Product, Analytics, and other Engineering teams * Passion for continuous learning and writing clean, maintainable, well-tested code PREFERRED SKILLS * Experience with experimentation frameworks and A/B testing at scale * Familiarity with tools like Segment, Amplitude, or other analytics platforms * Experience deploying and operating services in Kubernetes * Prior work integrating with partner ecosystems or building external-facing public APIs * Contributions to shared infrastructure that enables internal teams to move faster or make better decisions SUCCESS MEASURES A Software Engineer 3 will be successful in this role when they: * Deliver backend features and services that are reliable, maintainable, and meet the needs of internal and external stakeholders * Successfully implement cross-functional initiatives, aligning with Product, Analytics, and other engineering teams to define requirements and deliver value * Occasionally lead small to mid-sized projects with the help of more senior engineers * Provide thoughtful code reviews, helping to raise the bar for engineering quality and collaboration * Continuously learn and adapt, bringing in new ideas and best practices that keep our team and systems evolving * Are willing to learn and contribute to all parts of the stack * Are resolute in their approach to problem solving, balancing the needs of their team with the willingness to get to the bottom of issues 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 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! 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: 2273449461