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Join Cluster Scalability, one of MongoDB's Online Transaction Processing teams, and help build the core infrastructure that makes MongoDB a world-class distributed database. The team builds the infrastructure and tools that let customers scale their workloads past what a single node can handle. We take pride in building clean abstractions over hard distributed systems problems, so users can focus on their data instead of worrying about where it lives or how it's accessed. Our work has a big impact: it solves the hardest data challenges faced by MongoDB's largest customers. As a Senior Software Engineer on Cluster Scalability, you'll work on data partitioning, one of the hardest and most impactful problem areas at MongoDB today. You'll collaboratively design and build the distributed machinery that turns independent query-processing and storage nodes into a single, unified database system. Your team’s work will be to build the data-movement and dynamic-scaling features that run on top of it. Current work includes seamless horizontal scaling with minimal tradeoffs, better cluster elasticity and smarter workload execution. You'll solve complex performance problems and design protocols for moving and placing data without disruption. Your work will help the architecture scale reliably to meet customer demand at any volume. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. This role can be based remotely in the United States. Candidate Profile 5+ years of experience building distributed systems Experience with building production-level code with a large user base, robust design structure and rigorous code quality, written in C++. Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture Passion for the theory and practice of system design for large-scale distributed systems, as well as hands-on or academic experience in the domain Understands modern computer architecture and internals to the degree that they can reason about how specific design choices plays out in a system like MongoDB Has demonstrated industry success or academic research in areas such as: High performance / low latency networking Performance tuning Distributed systems System observability System resiliency Success Measures In your first month, you’ll understand the high-level architecture of MongoDB, dive into the details of your team’s components, and resolve a few bugs In the first three months, you’ll contribute to the development of a project slated for the next release of MongoDB, take on code review responsibilities, and participate in design reviews for new features In the first six months, you’ll lead the development of a new feature and help mentor new engineers on the team 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 AI-native startups and approximately 75% of the Fortune 100, 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: 3273558049 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $126,000 — $248,000 USD

MongoDB Search and Vector Search allows users to execute complex search queries and build RAG applications using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. We are looking to speak to candidates who are based in Toronto for our hybrid working model. Candidate Profile: 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase Proficient in modern programming languages and techniques Experienced in developing distributed systems, cloud services, and SaaS products Excellent verbal and written technical communication skills; enthusiasm for collaborating closely with colleagues and mentoring other engineers A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: Build and design our integrated search platform, written in Java Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers Lead projects and own subsystems Help determine the team’s roadmap and the architecture of our system Success measures: In 3 months you’ll have contributed to the development of an existing project and completed several 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 the team owns and have led a project. You’ll have had a positive impact on our code, product, and team processes 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, 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: 2273501136 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $158,000 — $220,000 CAD

The Team Platform Engineering sits within SRE and builds the core infrastructure powering MongoDB’s broader engineering organization. Our teams own everything from our multi-cloud Kubernetes foundation to automated deployment pipelines and global observability platforms. Within Platform Engineering, the Fabric team manages the global network substrate that enables secure communication between internal microservices and incoming public internet traffic. We own network architecture, service mesh topologies, and edge load balancing, ensuring customer data remains safe in transit. Ultimately, Fabric plays a pivotal role in engineering the reliable, globally connected, multi-cloud network that underpins all MongoDB products. This role is based remotely in the United States. Role Overview We are seeking a talented Senior Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As a Senior SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Be a US Citizen, as the position supports our FedRAMP authorized environment Have 5+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azure, or GCP, e.g. VPCs, subnetting, routing, VPNs, peering, private link / private service connect, and CDNs Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Have a strong knowledge of service mesh and load-balancing concepts, and be eager to implement these in a multi-cloud environment Expectations Contribute to a significant re-architecture of our multi-cloud globally-connected network, bringing your experience to design discussions and owning meaningful parts of the work Collaborate with service-owning teams to provide internal support, addressing technical issues and offering guidance on best practices for service-to-service connectivity Participate in a 24/7 on-call rotation to swiftly resolve issues related to network architecture and service-to-service connectivity, ensuring minimal disruption and high availability 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, 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: 426185 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $127,000 — $249,000 USD

This role can be based remotely in India. Position Summary We are seeking an exceptional Principal Technologist to join our team in India. This pivotal role will work closely with our account teams to engage with C-suite executives and senior technical leaders at MongoDB’s most strategic customers. You will bridge the gap between complex data architectures and AI to power business transformation, positioning MongoDB as the premier platform for modernizing legacy systems and building next-generation AI applications. As a recognized technical thought leader, you will shape industry perspectives through regular activities including high-impact technical evangelism and thought leadership, executive roundtables, presentations delivered to customers, keynotes at MongoDB and industry events, and regularly briefing tier-1 press, media, and analysts as a credible and trusted company spokesperson. Qualifications 10+ years of experience in customer and market-facing roles at the principal or Field CTO level Recognized technical leader with deep hands-on experience with enterprise-scale applications Influence & Scalability: Demonstrated success in scaling your technical influence and earned credibility. Experience speaking at major tech conferences, hosting technical webinars, or contributing deeply to the developer community (via technical blogs, open-source contributions, or whitepapers) is highly desired Deep portfolio and history of published content, presentations at events, interviews or quotes in the the press and media Executive Presence: Exceptional ability to command a room with credibility, deliver compelling keynote presentations, and influence technology strategies with a CxO audience Strong understanding of database architectures, distributed systems, and cloud computing concepts, with experience in distributed systems design, including scalability, fault tolerance, and consistency models Familiarity with modern application development frameworks and hands-on proficiency with state of the art AI capabilities Bachelor's or advanced degree in Computer Science, Engineering, or related field, or equivalent experience What We Offer Extensive travel (up to 50%) may be required, but can be offset by a strong existing digital footprint and community influence within the region Ability to exert broad industry influence and build your personal brand The chance to go deep on MongoDB, learning the most successful next generation database platform and seeing first-hand how the world's biggest companies use it for their most demanding applications Opportunity to influence technical direction and strategic decisions and some of the world's largest companies Competitive salary and benefits package Focused, high-performing team and close collaboration with your peers across the organization 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: 4253000823

Join Cluster Scalability, one of MongoDB's Online Transaction Processing teams, and help build the core infrastructure that makes MongoDB a world-class distributed database. The team builds the infrastructure and tools that let customers scale their workloads past what a single node can handle. We take pride in building clean abstractions over hard distributed systems problems, so users can focus on their data instead of worrying about where it lives or how it's accessed. Our work has a big impact: it solves the hardest data challenges faced by MongoDB's largest customers. As a Senior Software Engineer on Cluster Scalability, you'll work on data partitioning, one of the hardest and most impactful problem areas at MongoDB today. You'll collaboratively design and build the distributed machinery that turns independent query-processing and storage nodes into a single, unified database system. Your team’s work will be to build the data-movement and dynamic-scaling features that run on top of it. Current work includes seamless horizontal scaling with minimal tradeoffs, better cluster elasticity and smarter workload execution. You'll solve complex performance problems and design protocols for moving and placing data without disruption. Your work will help the architecture scale reliably to meet customer demand at any volume. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. This role can be based remotely in British Columbia or Ontario, Canada. Candidate Profile 5+ years of experience building distributed systems Experience with building production-level code with a large user base, robust design structure and rigorous code quality, written in C++. Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture Passion for the theory and practice of system design for large-scale distributed systems, as well as hands-on or academic experience in the domain Understands modern computer architecture and internals to the degree that they can reason about how specific design choices plays out in a system like MongoDB Has demonstrated industry success or academic research in areas such as: High performance / low latency networking Performance tuning Distributed systems System observability System resiliency Success Measures In your first month, you’ll understand the high-level architecture of MongoDB, dive into the details of your team’s components, and resolve a few bugs In the first three months, you’ll contribute to the development of a project slated for the next release of MongoDB, take on code review responsibilities, and participate in design reviews for new features In the first six months, you’ll lead the development of a new feature and help mentor new engineers on the team 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 AI-native startups and approximately 75% of the Fortune 100, 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: 3273558049 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $158,000 — $220,000 CAD

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unlock AI. We’re looking for a Software Engineer to join the PM Benchmarking team in Mexico City. This team designs and executes competitive performance testing that benchmarks MongoDB against alternative technologies, while also building the reusable tooling, frameworks, and engineering practices needed to scale that work over time. This role is a strong fit for an engineer who wants meaningful hands-on coding time, enjoys performance analysis, and is motivated by turning ambiguous technical questions into clear plans, repeatable systems, and high-impact outputs. You will work across the full lifecycle of a benchmark initiative: design, code, run, analyze, and communicate findings. You will also help improve the internal tooling and engineering workflows that make this work faster, more reliable, and more useful across MongoDB. We are looking to speak to candidates who are based in Mexico for our hybrid working model. What you’ll do Design performance and benchmarking workloads that reflect realistic customer or product scenarios Build and improve production-quality internal tooling, test harnesses, automation, and reusable workload components Write and maintain code primarily in Python, while adapting to adjacent tools and technologies as needed Run benchmarks across cloud environments and database platforms, with attention to fairness, noise reduction, cost, and repeatability Analyze latency, throughput, scalability, and infrastructure signals to identify bottlenecks and explain results clearly Translate broad business or engineering questions into scoped technical plans, success criteria, and execution milestones Partner closely with Engineering, Product, Sales, and other stakeholders to ensure testing work is relevant and actionable Produce clear technical documents, reports, and summaries that connect findings to product decisions and field value Help shape team standards for documentation, onboarding, prioritization, and benchmark execution as the team continues to mature Mentor peers where appropriate and contribute to a collaborative, low-ego engineering culture What we’re looking for 5+ years of experience building, debugging, and improving distributed and/or highly concurrent software systems Strong software engineering fundamentals, including writing maintainable code, profiling performance, and debugging complex issues Hands-on experience with MongoDB architecture, MongoDB Query Language (MQL), and MongoDB performance tuning Hands-on experience with performance testing methodologies such as load, stress, latency, or scalability testing Experience designing and implementing benchmarking or performance-validation workflows Strong coding skills in Python or a similar language, plus the ability to learn new stacks quickly Strong hands-on experience with at least one of the three major cloud providers used for this role, AWS, Azure or GCP, including the practical trade-offs involved in running reliable applications at scale Strong hands-on experience with PostgreSQL, MySQL, Aurora, Cassandra, or other competing data platforms Ability to reason about relational and document data models, distributed systems behavior, and infrastructure bottlenecks Strong written and verbal communication skills, especially when explaining technical findings to different audiences Ability to work with ambiguity, define structure where needed, and operate with a high degree of ownership and autonomy Bachelor’s degree in Computer Science or a related field, or equivalent practical experience Nice to have Experience with CI/CD systems and integrating automated tests into engineering workflows Experience creating reusable technical documentation, runbooks, or internal playbooks Success in this role In your first 30 days Build a clear understanding of the team’s current workloads, tooling, roadmap, and stakeholder landscape Complete onboarding and identify the main technical systems, docs, and knowledge gaps relevant to your work Start contributing code, review feedback, and execution support on active benchmark efforts In your first 90 days Independently contribute to the design, coding, execution, and analysis of multiple benchmark initiatives Improve at least one area of the team’s tooling, documentation, or execution workflow Build strong working relationships with key cross-functional partners In your first 6 months Own meaningful benchmark or tooling work from scoping through delivery Improve repeatability, clarity, or efficiency in how the team designs, runs, or reports on tests Contribute to mentorship, documentation, or process improvements that increase team autonomy In your first 12 months Be a trusted technical contributor across benchmark design, tooling, and analysis Influence how the team prioritizes and scales its work Expand your scope through technical leadership, cross-functional collaboration, and deeper ownership of systems and processes MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation, please inform your recruiter. 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 AI-native startups and approximately 75% of the Fortune 100, 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: 3273538787

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 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 Position Expectations 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 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: 4263294981

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 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: 426104