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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

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

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

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’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 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 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 Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Work as a software developer in a small Agile team delivering solutions onsite for customers focussed on migrating our customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Position Summary As an Application Delivery Consultant, you will work closely with customers to deliver tailored solutions for modernizing their legacy SQL-based systems and applications. Your role will involve collaborating with bite-size Agile teams, applying best practices, and contributing to system redesigns that leverage MongoDB. This is an excellent opportunity for candidates with strong technical fundamentals and a passion for learning, as the role provides extensive training and exposure to modern technologies like MongoDB, GenAI, and cloud-native architectures Position Expectations: Collaborate with project teams to deliver solutions for modernizing legacy SQL-based applications and migrating them to MongoDB Apply your knowledge of Java (or similar programming languages) and relational databases to support customer projects Follow and contribute to best practice playbooks for migrations and modern application development Continuously learn and adopt new technologies, especially MongoDB, GenAI tools, and cloud architectures, as projects demand Participate in sprint planning, grooming, and retrospectives to improve team processes and outputs Communicate progress, challenges, and ideas effectively within the team and to stakeholders Support debugging and performance optimization tasks during projects Be open to mentoring and guidance from senior team members while contributing to team discussions with a fresh perspective Key Qualifications 4–7 years of experience in software development, with a strong foundation in Core programming concepts specific to JAVA Relational databases and SQL, including basic stored procedures Application debugging and performance tuning Exposure to one or more enterprise application architectures, such as Spring Boot or Hibernate Experience working in Agile teams, with a familiarity with CI/CD pipelines and Git for version control Demonstrated curiosity and ability to learn new tools, frameworks, and best practices quickly Excellent problem-solving skills and a collaborative mindset Strong communication skills to engage effectively with team members and stakeholders Nice-to-Have Skills Familiarity with MongoDB or similar NoSQL databases Basic knowledge of GenAI tools and APIs (e.g., OpenAI GPT models) Exposure to Python and its application in scripting or data processing Basic understanding of cloud-native development concepts (e.g., Docker, Kubernetes, or microservices) Hands-on experience with ORMs like Hibernate or JPA Bonus Skills Prior experience with MongoDB and cloud platforms such as AWS, Azure, or GCP Knowledge of containerization and orchestration tools like Docker and Kubernetes Hands-on experience with GenAI technologies (e.g., OpenAI API, GPT models) and the ability to innovate new use cases within migration projects Key Competencies Strong team leadership and stakeholder engagement skills, with the ability to articulate technical solutions to non-technical audiences Exceptional problem-solving and debugging skills, applying creativity to complex challenges and GenAI innovations Adaptability and openness to evolving project needs, aligning with the latest industry trends and best practices Additional Considerations Due to the highly regulated nature of our industry, successful candidates may undergo enhanced background checks and security screenings. MongoDB is committed to providing a supportive, enriching work environment with a focus on employee wellbeing and growth. Why MongoDB? Join us in transforming the way enterprises manage and scale data. MongoDB provides a dynamic workplace culture with employee affinity groups, fertility assistance, and generous parental leave policies, ensuring an inclusive experience. 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 - 3273524386