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As a Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to deliver Observability features and platform capabilities for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin for our hybrid working model. The right candidate for this role will be: Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs Experienced with 5 years of Software development background, with Cloud storage and compute products Experience with Service Oriented Architecture and Cloud Infrastructure Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps Skilled at communicating across a diverse set of engineers and stakeholders Hyper-organized and capable of coordinating across multiple independent work streams and organizations A role model for effective execution practices, driven by an attuned sense of priority and urgency Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture Trained in working with project tracking software (e.g. Jira, Rally, MS Project) Familiar with MongoDB or a comparable technology Interested in business automation work such as scripting in Python, Google Apps Script and Slack. Position Expectations: Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery Recognize patterns in a sea of information and take action accordingly Design, maintain, and improve the processes and tools that power program delivery Build strategic partnerships with Product and Engineering stakeholders Expand knowledge into new domains as called upon Act as a me

Join the Vector Search team and help build a cutting-edge vector database on top of MongoDB. Our team is responsible for the syntax and implementation of MongoDB's $vectorSearch aggregation, which enables approximate nearest neighbor queries over high-dimensional vectors. We are a small team with a large and rapidly growing customer base, providing engineers an opportunity to make a highly-visible, broad impact. When scaling search to billions of vectors, performance is paramount. We're looking for engineers who enjoy solving complex and open-ended problems that directly impact users' performance. This role is based in San Francisco, CA with a hybrid work model. You would get to: Implement new features within MongoDB's $search and $vectorSearch aggregation operators Work cross-functionally with Product teams to define new query and index syntax Identify and address performance bottlenecks in filter queries and nearest neighbor search Have the opportunity to lead projects and own subsystems Perform code reviews with peers, review technical designs, and mentor junior developers Ideally you will be: 3+ years of experience working on large-scale backend systems Experience writing high-performance applications in Java or another JVM language A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback Passionate about optimization, code quality, and problem solving Bonus: experienced with Apache Lucene, vector databases, or high-throughput web services Success Measures In 3 months you'll have a solid high-level understanding of what our team does and how we operate You'll have contributed to the development of an existing project and completed several small improvements or bug fixes In 6 months you'll be reviewing code and project designs, and be an active participant in team meetings In 12 months you'll have a thorough understanding of the systems our team owns and have led a small project. You'll have

As a Sr. Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to conduct data-driven experiments and deliver features for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model, or remote within Ireland. The right candidate for this role will be: Experienced with 15+ years of working in an engineering organization leading complex cross-functional technical programs Experienced with 10 years of Software development background, with Cloud storage and compute products Experience with Service Oriented Architecture and Cloud Infrastructure Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps Skilled at communicating across a diverse set of engineers and stakeholders Hyper-organized and capable of coordinating across multiple independent work streams and organizations A role model for effective execution practices, driven by an attuned sense of priority and urgency Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture Trained in working with project tracking software (e.g. Jira, Rally, MS Project) Familiar with MongoDB or a comparable technology Interested in business automation work such as scripting in Python, Google Apps Script and Slack Position Expectations: Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery Recognize patterns in a sea of information and take action accordingly Design, maintain, and improve the processes and tools that power program delivery Build strategic partnerships with Product and Engineering stakeholders Expand knowledge into new

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Senior Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 5+ years of experience building production-quality systems software Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for: Understanding of network protocols, TLS, and connection lifecycle management Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures Excellent verbal and written technical communication skills, with a strong desire to collaborate with colleagues Strong time management skills and the ability to realistically assess project complexity B.Sc. in Computer Science or a related field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture. Interest in the theory and practice of high-availability, security-critical systems Position Expectations Design, implement, and operate production

Join the Atlas Search Query team to design and develop the next generation of Search query architecture, optimization, and execution. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the success of complex Search Query feature development. We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search aggregation framework within the MongoDB aggregation framework. Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our query language, performance, and operability Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong query processing and optimization background Experienced in the development and maintenance of stateful distributed systems Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in debugging and profiling multithreaded applications written in Java and Rust Bonus: experience with designing high-volume query engines, such as a datab

Join the Atlas Search team to design and develop the next generation of Semantic and Vector Search infrastructure. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search. We are looking to speak to candidates who are based in the San Francisco Bay Area for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our reliability, performance, security and efficiency Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong distributed systems and infrastructure background Experienced in the development and maintenance of concurrent, stateful services Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in writing features, debugging and optimizing multithreaded applications written in Java Familiarity with LLM

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin for our hybrid working model. 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 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 produ

The MongoDB Query Execution Team is hiring software engineers who want to join us in developing a high performing, reliable and modular distributed query system. Our engineers work on implementing and maintaining execution algorithms, building new query language features, tuning database performance, and more to power our customers' critical workloads. This role can be based out of our Dublin office or remotely in Ireland. Relocation can be supported. Position Expectations Understand and improve current functionality of the MongoDB query engine Contribute high quality C++ code and give and solicit feedback in code reviews 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 constructively with peers to deliver excellent technical solutions Candidate Profile 5+ years of experience in systems programming Experience in databases and/or data management systems is a huge plus, but not a requirement 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, preferably in C++, C, Rust or a similar compiled language B.Sc in Computer Science or similar field, or equivalent practical experience Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus 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 independently delivering complex functionality and squashing bugs independently In twelve months, you’re leading the development of a new major feature and are h

As a Sr. Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to conduct data-driven experiments and deliver features for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model, or remote within Ireland. The right candidate for this role will be: Experienced with 15+ years of working in an engineering organization leading complex cross-functional technical programs Experienced with 10 years of Software development background, with Cloud storage and compute products Experience with Service Oriented Architecture and Cloud Infrastructure Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps Skilled at communicating across a diverse set of engineers and stakeholders Hyper-organized and capable of coordinating across multiple independent work streams and organizations A role model for effective execution practices, driven by an attuned sense of priority and urgency Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture Trained in working with project tracking software (e.g. Jira, Rally, MS Project) Familiar with MongoDB or a comparable technology Interested in business automation work such as scripting in Python, Google Apps Script and Slack Position Expectations: Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery Recognize patterns in a sea of information and take action accordingly Design, maintain, and improve the processes and tools that power program delivery Build strategic partnerships with Product and Engineering stakeholders Expand knowledge into new

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. We are looking for a talented Senior Software Engineer to join our team as we execute on a multi-year roadmap and prepare to launch and rapidly scale services that handle petabytes of data. Come do some of the most interesting work of your career as we Think Big and Go Far for our customers! This role can be based out of our New York City office (hybrid working model) or remotely in the North America region. What you’ll do Design, build, and operate control plane services powering an elastic and multi-tenant storage layer for thousands of database instances. Solve problems around maintaining high availability and performance during load spikes, hardware failures, cloud provider outages, and other disruptions. Contribute to a culture of operational excellence through dashboards, playbooks, and on-call improvements. Lead complex technical projects from planning through successful deployment with clear stakeholder updates. Partner closely with peers across database, cloud, and infrastructure engineering teams as well as project management to investigate incidents and develop long-term roadmaps. Mentor junior engineers and foster a collaborative team environment. We’re looking for someone with 5+ years of professional software development experience building, deploying, and operating multi-tenant cloud services with a focus on operational excellence. Experience with large backend/compiled codebases, such as Rust or C/C++. Experience with containerization and orchestration platforms (e.g. Kubernetes). Experience with observability tooling (e.g. time series metrics, dashboards). Experience with distributed systems

We are seeking passionate and driven individuals with a strong foundation in computer science to join our team. In this role, you'll have the opportunity to design, build, and test software that enhances MongoDB products while solving complex technical challenges. You’ll collaborate with cross-functional teams, balance innovation with delivery, and contribute to features that empower our global community of users. Join us in a supportive and inclusive environment that values your unique perspective and fuels your growth. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What we are looking for in you In the process of receiving or having received a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field Recent graduates (including Summer 2026) or professionals with up to 18 months of experience. Have a foundation in computer science theory, with competencies in data structures, algorithms, and software design Proficient in one of our commonly used languages which include C++, Go, Ruby, Python, Java, Javascript, Node.js, or comparable high level programming languages Experience writing and testing software whether as part of an internship, in a personal project, in a coding competition, or for research What you'll find at MongoDB Writing and testing software in commonly used high level programming languages, such as C++, Go, Ruby, Python, Java, Javascript, Node.js Identifying, designing, testing, and supporting new features in MongoDB products, particularly utilizing competencies in data structures, algorithms, and software design Leading software projects that help users maintain and understand their MongoDB deployments Solving problems with context in mind, balancing the needs of the team with the desire to get to the bottom of issues Maintaining a balance between delivering software and performing research and development Working closely with cross functional teams to create end user fea

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. 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 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 t

The MongoDB Atlas team is a diverse group of contributors working together to help our users manage MongoDB at a global scale. We are responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Software Engineer to join the Atlas Identity and Access Management (IAM) team. The IAM team owns authentication and authorization for all of MongoDB Atlas, spanning from the underlying platform to user-facing features and products. IAM is both a platform and a product team, serving internal engineers as well as external customers. We enjoy the challenge of keeping MongoDB Atlas secure while providing a best-in-class user experience for users ranging from startup to enterprise. We are looking to speak to candidates who are based in New York City, NY for our hybrid working model. Role Responsibilities Lead medium-sized, full-stack projects from technical design to delivery Collaborate with colleagues at all stages of the project lifecycle (ideation, requirements gathering, design, execution, and delivery) Own our leadership principles , and exemplify them in your work Continue to learn and be curious in growing your career! Candidate Profile 2+ years of professional experience building full-stack web applications Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.) Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus Excellent communication skills, both written and verbal Is collaborative, empathetic, and intellectually honest Success Measures In 1 month, you’ll have shipped code into production In 3 months, you’ll have collaborated and delivered on a project with other engineers on the team In 6 months, you’ll have led the technical design, execution, and delivery of a project About MongoDB MongoDB is built for change, em

MongoDB is seeking a Senior Software Engineer to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. We are forming a new Atlas Clusters team in the Dublin area. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you’ll do Build and design new features for MongoDB Atlas Contribute to and lead complex technical projects Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of professional software development experience Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.). Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Has led the launch of a new module and maintained it in production Is eager to solve tough problems Has excellent communication skills Is curious, collaborative, and motivated Success Measures In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems In 6 months, you'll have contributed to a large project and joined our on-call rotation In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB MongoDB is built for

MongoDB’s Marketing Technology team is looking for a Senior Manager, Martech Transformation to support the implementation and ongoing optimization of our Adobe technology ecosystem. This is a senior individual contributor role with program management ownership, focused on driving the adoption, configuration, and integration of Adobe solutions across MongoDB’s marketing organization. The ideal candidate brings deep hands-on expertise with Adobe enterprise products, a strong product mindset, and the ability to operate as a strategic partner to marketing, IT, and analytics teams. You’ll serve as the internal subject matter expert on Adobe, owning the roadmap for implementation, governance, and continuous improvement across the suite. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Main Responsibilities Lead the implementation, configuration, and rollout of Adobe suite products across Marketing, including parts of AEM, Marketo Engage, Workfront, CJA, RTCDP, etc Act as the primary program manager for Adobe initiatives: defining project scope, timelines, stakeholder alignment, and delivery milestones Partner with Campaign Operations, Architects, Platform owners, IT, and Engineering to integrate Adobe products into the broader MarTech ecosystem Translate marketing requirements into scalable technical configurations and workflows across Adobe products Establish governance frameworks, documentation standards, and change management processes for the Adobe practice Evaluate and recommend new Adobe capabilities and integrations that align with MongoDB's marketing strategy Serve as the internal expert and go-to consultant on Adobe products. Enabling teams to maximize platform value Support vendor relationship management with Adobe, including license governance and product roadmap alignment Requirements 7+ years of experience in marketing technology, marketing operations, or enterprise platform implementation roles Hands-on expe