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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 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

The MongoDB Atlas team is a diverse group of contributors working together to help our users manage MongoDB at global scale. We are responsible for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Senior Engineer to join the Atlas Identity and Access Management (IAM) team. IAM is a platform and a product team. We serve internal engineers by providing them a secure and durable suite of services, and we serve external customers by providing them user facing features and products. We are the owners of Atlas’ authentication (OAuth, SSO, Federated Identity) and authorization (RBAC, ABAC) systems, along with many others. The IAM team’s mission is to enable customers to securely build their applications with Atlas through our best in class user experience. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. This role will be based remotely in the United States. Role Responsibilities Design, architect, build, and deliver core pieces of IAM Lead projects from specification to delivery Mentor and grow other team members Improve our codebase, best practices, and design principles Define your top priorities and focuses, communicate them, and execute against them Lead and contribute to complex technical projects and initiatives Candidate Profile 5+ years experience of software engineering, primarily focused on backend systems Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.) Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus Excellent communication skills, both written and verbal Desire to collaborate with colleagues and mentor fellow engineers Is curious, collaborative, empathetic, and intellectually honest Has a passion for problem solving and learning new things in the domains of computer science and software engineering Experience building identity and access management systems such as authentication (OAuth, SSO), authorization (RBAC, ABAC, ReBAC), and login and registration systems a plus Success Measures In 1 week you'll have completed your first pull request In 3 months, you'll have contributed to a large project In 6 months, you’ll be leading the design and execution of your own project 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: 3273523125 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

The MongoDB Atlas team is a diverse group of contributors working together to help our users manage MongoDB at global scale. We are responsible for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Senior Engineer to join the Atlas Identity and Access Management (IAM) team. IAM is a platform and a product team. We serve internal engineers by providing them a secure and durable suite of services, and we serve external customers by providing them user facing features and products. We are the owners of Atlas’ authentication (OAuth, SSO, Federated Identity) and authorization (RBAC, ABAC) systems, along with many others. The IAM team’s mission is to enable customers to securely build their applications with Atlas through our best in class user experience. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. This role will be based remotely in the United States. Role Responsibilities Design, architect, build, and deliver core pieces of IAM Lead projects from specification to delivery Mentor and grow other team members Improve our codebase, best practices, and design principles Define your top priorities and focuses, communicate them, and execute against them Lead and contribute to complex technical projects and initiatives Candidate Profile 5+ years experience of software engineering, primarily focused on backend systems Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.) Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus Excellent communication skills, both written and verbal Desire to collaborate with colleagues and mentor fellow engineers Is curious, collaborative, empathetic, and intellectually honest Has a passion for problem solving and learning new things in the domains of computer science and software engineering Experience building identity and access management systems such as authentication (OAuth, SSO), authorization (RBAC, ABAC, ReBAC), and login and registration systems a plus Success Measures In 1 week you'll have completed your first pull request In 3 months, you'll have contributed to a large project In 6 months, you’ll be leading the design and execution of your own project 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: 3273523125 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

The MongoDB Atlas team is a diverse group of contributors working together to help our users manage MongoDB at global scale. We are responsible for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Senior Engineer to join the Atlas Identity and Access Management (IAM) team. IAM is a platform and a product team. We serve internal engineers by providing them a secure and durable suite of services, and we serve external customers by providing them user facing features and products. We are the owners of Atlas’ authentication (OAuth, SSO, Federated Identity) and authorization (RBAC, ABAC) systems, along with many others. The IAM team’s mission is to enable customers to securely build their applications with Atlas through our best in class user experience. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. This role will be based remotely in the United States. Role Responsibilities Design, architect, build, and deliver core pieces of IAM Lead projects from specification to delivery Mentor and grow other team members Improve our codebase, best practices, and design principles Define your top priorities and focuses, communicate them, and execute against them Lead and contribute to complex technical projects and initiatives Candidate Profile 5+ years experience of software engineering, primarily focused on backend systems Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.) Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus Excellent communication skills, both written and verbal Desire to collaborate with colleagues and mentor fellow engineers Is curious, collaborative, empathetic, and intellectually honest Has a passion for problem solving and learning new things in the domains of computer science and software engineering Experience building identity and access management systems such as authentication (OAuth, SSO), authorization (RBAC, ABAC, ReBAC), and login and registration systems a plus Success Measures In 1 week you'll have completed your first pull request In 3 months, you'll have contributed to a large project In 6 months, you’ll be leading the design and execution of your own project 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: 3273523125 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 powers mission‑critical workloads for customers who expect their data to be durable, highly available, and fast to access. The Storage Execution team builds the core infrastructure that makes those guarantees real. We are hiring a Senior Engineering Manager to manage the largely New York-based Storage Execution team. This is a hands-on leadership role for someone who is obsessed with customer success, takes the responsibility of durably storing customer data seriously, and has strong empathy for both their team and our users. This role can be based remotely in the United States. About the Storage Execution team The Storage Execution team sits at the heart of MongoDB’s Online Transaction Processing (OLTP) team. We own the core transactional read/write path on each node, across both today’s storage engine and a next‑generation cloud-native storage architecture. Our work determines how correct and performant MongoDB is for customers running mission-critical production workloads. The team’s responsibilities include: Defining and maintaining the internal collection and index APIs used by Replication, Query and Catalog modules, and commands for local reads and writes, plus the transaction and durability primitives that govern visibility, conflict resolution and crash recovery Integrating the next generation of MongoDB’s storage architecture into the server in a way that is predictable for other teams, scales with cloud elasticity, and preserves the performance and safety of the classic configuration Improving transaction processing speed and semantics of both single shard and cross-shard transactions Owning index builds and schema‑level storage operations (build/rebuild, cleanup, resumability) and ensuring they behave well for large, highly available clusters running write-heavy workloads Building validation, diagnostics, and storage‑focused test infrastructure to catch durability issues early and keep the system trustworthy at scale Partnering with neighboring teams on flow control, prioritization and load-shedding to stay within resource limits, protecting durability and availability at the cluster level without starving critical operations What you’ll do Lead, grow and manage a New York–based team of 8 to 10 engineers; ensure clear expectations, high standards, and healthy, sustainable execution Own the team’s roadmap across durability, availability, performance, and developer productivity, in partnership with OLTP leadership and Product Management Manage customer escalations involving storage behavior and durability; work directly with Support, Atlas, and other server teams to reproduce, root‑cause, and resolve issues Drive process and tooling improvements that raise engineering velocity and code quality (e.g., ownership, review expectations, customer escalation and build failure practices) Partner closely with Replication, Query, Sharding, Catalog & Routing, Storage Engines, and Atlas teams on cross‑team features such as the new storage architecture, availability improvements, and workload management Represent Storage Execution in planning, staffing, and calibration; make thoughtful tradeoffs between near‑term deliverables, longer‑term availability gaps, and platform investments Candidate profile 8+ years building, debugging, and tuning distributed and/or highly concurrent systems software (databases, storage engines, filesystems, or similar) 2+ years managing engineers directly, including hiring, performance management, and coaching across a range of levels Willing to work East Coast hours Strong proficiency in at least one compiled, statically-typed language such as C++, Rust, or Go; prior C++ and systems programming experience is a plus Deep understanding of durability, availability, and performance tradeoffs in distributed systems; experience with replication, consensus, storage engines, or transactional systems is highly desirable Demonstrated customer obsession: direct experience working with demanding customers (or customer support / cloud teams) on complex incidents and turning them into clear, outcome‑oriented recommendations Proven ability to develop people: mentoring and promoting engineers, managing underperformance directly, and building high‑engagement teams with low regretted attrition Comfortable leading multi‑quarter initiatives with multiple stakeholders and using written documents to align teams on design, scope, and tradeoffs Success measures In three months, you have: Built strong relationships with your team and key partner teams Taken over team ceremonies, short‑term planning, and on‑call responsibilities Co‑led at least one active project and shipped one concrete process improvement In six to twelve months, you have: Led at least one cross‑team initiative in availability, durability, or developer velocity Delivered a multi‑quarter project with clear impact on durability/availability or team throughput Built a bench of engineers ready for increased scope and, over time, leadership roles 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: 3273532708 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: $151,000 — $297,000 USD