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Application Modernization Platform (“AMP”) is a MongoDB offering that modernises our customer’s legacy relational applications to a modern architecture underpinned by MongoDB using a combination of software, processes, and engineers. In this offering, the people and software are inextricably linked and cannot be separated. The delivery happens in an accelerated timeframe wherein the team takes advantage of GenAI and algorithmic tooling to expedite the turnaround time for application delivery. AMP team generally works with enterprise-grade customers, in all verticals 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, addresses multiple customer-facing opportunities. The role also becomes the forefront of groundbreaking R&D that enables further acceleration for enterprises working across a variety of technologies. AMP exists to expedite time to value for customers who are looking forward to changing, modernising and updating their tech stack while keeping MongoDB the cornerstone of their system architecture. Work as a software developer in an Agile environment delivering solutions for customers focused 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. This role will be based remotely in France. Position Expectations Shape architecture and technology strategy across AMP modernization projects and workstreams, making complex technical decisions with limited supervision and connecting engineering choices to customer and business outcomes Lead the assessment and modernization of legacy Java applications by uncovering dependencies, embedded business logic, integration points, and operational constraints; recommend fit-for-purpose modernization paths rather than defaulting to lift-and-shift Design, implement, and review production-quality solutions using Java and Spring Boot, including APIs, integrations, monolith decomposition, relational-to-document data modeling, stored-procedure transformation, schema evolution, and MongoDB operational practices Establish safe, incremental delivery practices through explicit acceptance criteria, automated testing, CI/CD, observability, and rollback, dual-run, or other risk-control strategies; identify quality, security, performance, and reliability risks and guide teams to resolve them Serve as a senior technical partner to customers, application owners, and account and project stakeholders by explaining complex topics clearly, aligning priorities, navigating disagreement, communicating trade-offs, and maintaining trust through high-risk change Multiply the effectiveness of engineers by mentoring, raising engineering standards, creating reusable migration playbooks and documentation, applying GenAI advancements responsibly where valuable, and influencing project direction without relying on formal authority Requirements Professional fluency in French is required Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience Typically 8+ years of progressive experience designing, building, and delivering Java applications, including significant experience leading complex application modernization initiatives Expert understanding of Java fundamentals, object-oriented design, concurrency, error handling, performance considerations, and maintainable software architecture; able to review code and guide design decisions across teams Deep production experience with Spring Boot and related patterns for building resilient services, APIs, integrations, and testable distributed applications Demonstrated ability to assess legacy estates, decompose monoliths, uncover dependencies and embedded business logic, and define practical modernization strategies with clear trade-offs Strong experience with relational databases and SQL, including stored procedures, data dependencies, data migration, schema evolution, and relational-to-document modeling for MongoDB or comparable document databases Proven history of delivering high-cadence modern applications using Agile methodologies, test-first development, CI/CD pipelines, Git-based version control, observability, and reliability practices; demonstrated success mentoring engineers and influencing technical outcomes across teams Nice-to-have skills Experience in building REST APIs with Spring Boot Experience in performance and memory optimization of JAVA applications Familiarity with tools like Postman, IntelliJ IDEA, and Maven/Gradle Exposure to other languages or technologies like JavaScript, .Net Understanding of ORM tools like Hibernate, Spring Data or JPA (even through coursework or self-study) Experience in nascent GenAI technologies and approaches, such as using OpenAI/Anthropic API not purely through chat interfaces Experience with AI-powered development tools like Claude Code, Cursor, or similar code assistants Good experience of using MongoDB Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. 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: 3273528270

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

The Team Platform Engineering sits within SRE and builds the core infrastructure powering MongoDB’s broader engineering organization. Our teams own everything from our multi-cloud Kubernetes foundation to automated deployment pipelines and global observability platforms. Within Platform Engineering, the Fabric team manages the global network substrate that enables secure communication between internal microservices and incoming public internet traffic. We own network architecture, service mesh topologies, and edge load balancing, ensuring customer data remains safe in transit. Ultimately, Fabric plays a pivotal role in engineering the reliable, globally connected, multi-cloud network that underpins all MongoDB products. This role is based remotely in the United States. Role Overview We are seeking a talented Senior Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As a Senior SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Be a US Citizen, as the position supports our FedRAMP authorized environment Have 5+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azure, or GCP, e.g. VPCs, subnetting, routing, VPNs, peering, private link / private service connect, and CDNs Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Have a strong knowledge of service mesh and load-balancing concepts, and be eager to implement these in a multi-cloud environment Expectations Contribute to a significant re-architecture of our multi-cloud globally-connected network, bringing your experience to design discussions and owning meaningful parts of the work Collaborate with service-owning teams to provide internal support, addressing technical issues and offering guidance on best practices for service-to-service connectivity Participate in a 24/7 on-call rotation to swiftly resolve issues related to network architecture and service-to-service connectivity, ensuring minimal disruption and high availability About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 426185 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $127,000 — $249,000 USD

The Atlas API Experience (APIx) teams are part of MongoDB Atlas Data Services, a diverse group of individuals who develop the capabilities to run MongoDB globally (see MongoDB Atlas ). Our software and services allow users to deploy fault-tolerant, scalable, globally distributed MongoDB clusters in minutes. APIx’s mission is to create delightful experiences that bring developers along on the journey from eager beginner to sophisticated MongoDB expert! As part of our team in APIx, you will be responsible for improving & extending our API platform & downstream tooling, such as the Atlas CLI . Our mission is to help Atlas customers automate their workloads easily through APIs & support internal teams contributing to the API. We are looking for passionate, intrinsically-motivated software engineers who lead by example, raise the bar for those around them, and want to make a broad impact. No prior experience with MongoDB technologies is required! During interviews, you will meet most of our team and have the opportunity to ask questions about working at MongoDB. We pride ourselves on our team's culture and on being an inclusive and collaborative group that Builds Together . This role can be based in our Dublin office or remotely within Ireland. What will you do? Propose, design, implement and support product features for the MongoDB Atlas API Platform & MongoDB Atlas DevTools, such as AtlasCLI Build tooling that enables MongoDB users and developers to succeed, using programming languages such as Java, Go, Python & Javascript/Typescript Design and develop software integration components utilizing MongoDB’s technology (i.e. database, mobile, search, etc.) in larger contexts and integrate into partner frameworks or solutions Mentor and provide technical guidance to other engineers through code and design reviews, pairing, and knowledge sharing Lead sophisticated projects end to end, breaking large efforts into incrementally shippable deliverables Investigate and resolve and solving problems experienced by our customers, including complex and cross-team escalations. Our team has a Level 2 support rotation Apply our core values to your planning, designing, and coding work Who are you? We don't expect you to tick every box. If you bring deep experience across most of the below and are excited to grow into the rest, we encourage you to apply. A track record of independently delivering complex projects and leading the technical decisions that shape them Inspired by building systems that manage infrastructure at scale Approachable, curious, and intellectually honest Collaborate and communicate effectively across multiple teams, locally & remote across timezones, internally and externally as required, to drive projects to completion Enjoys an environment where you can coordinate your own time, prioritizing, and acting on multiple tasks concurrently without manager oversight Proficient in at least one of Java, Go, Python, or Javascript/Typescript, and able to pick up others as needed Experience building developer tooling, APIs, and/or Infrastructure as Code (IaC) integrations Working knowledge of at least one major cloud infrastructure platform ( Amazon AWS, Google Cloud Platform, Microsoft Azure, etc. ) How will you measure success? In three months, you'll have become familiar with our developer tools and the existing features most relevant to integrations In six months, you will be independently leading projects and delivering complex features.. You will share knowledge with the team, collaborating where needed to achieve our team goals In nine months, you will be fully embedded in the team. As well as leading your projects, you will be contributing ideas to the team roadmap, improving how we work. You will be mentoring other team members, helping them learn from your experience What is in it for you? Generous compensation package (top-range salary, equity, comprehensive benefits) Flexible working options with a focus on results rather than time spent in the office A high level of independence in your day-to-day work. Propose innovative solutions to existing problems and own the delivery from start to finish Opportunities to learn on the job (time and support to upskill in new technologies and learn new programming languages, as well as an allowance for educational material) Exposure to a wide variety of market verticals and a broad spectrum of interesting use cases You'll be joining a supportive and collaborative team that values its culture and promotes a positive work environment! Upon joining, you will have the opportunity to learn everything there is to know about MongoDB via specialized training on the MongoDB University platform and highly supportive colleagues 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

AI frameworks like LangChain, LlamaIndex, and n8n are quickly becoming the default way developers build with AI — and MongoDB wants to be the data platform that shows up everywhere they build. As part of the AI Builders Experience (ABX) org, we're standing up a brand new engineering team in Gurugram to make that happen, and we're looking for Senior Software Engineers to be among its founding members. The team owns the connective layer between MongoDB and third-party AI frameworks, platforms, and tools — the integrations that let developers use MongoDB effectively with the AI stack they've already chosen. That means shipping into some of the fastest-moving open-source ecosystems in tech, working mostly in Python and TypeScript, and partnering with the Database Experience (DBX) org when an integration needs new driver, platform, or product capability underneath it. This is a self-sufficient team by design. You and your engineering manager will be based in Gurugram, and the group is set up to own its area end to end: to decide how integrations get built, tested, released, and maintained, without waiting on another time zone to unblock the day-to-day. You'll work closest with the engineers sitting next to you, pairing on hard problems, reviewing each other's code, and dividing up a broad portfolio, while collaborating with product, partners, field teams, and open source maintainers as the work requires. You'll integrate with fast-moving, often unproven technologies, make pragmatic calls in the face of ambiguity, and own high-visibility projects with minimal guidance. Priorities can shift week to week based on framework changes, customer demand, and partner needs, so we're looking for product-minded engineers who thrive on autonomy and take pride in shipping. Much of your work will happen in public: sending pull requests to upstream repositories, working through external maintainer review cycles, and representing MongoDB in developer communities. MongoDB engineering teams pride themselves on building high-quality software and living our cultural values every day — we value intellectual curiosity, intellectual honesty, customer empathy, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position expectations Design, build, test, and ship MongoDB integrations across a broad AI framework ecosystem that includes technologies like LangChain, LangGraph, LlamaIndex, n8n, and Mastra, owning them from first exploratory spike through production release and ongoing maintenance. Take ownership of ambiguous problems and drive them to completion independently, making sound decisions as requirements, frameworks, and customer needs evolve. Do the initial, exploratory work: assess a new framework, define the smallest useful version of an integration, get it in front of users quickly, and make a clear recommendation about whether and how to invest further. Contribute high-quality code upstream to repositories MongoDB doesn't own, maintaining a high standard of professionalism and courtesy while working through external maintainer review cycles. Build and maintain the team's engineering practices for a broad integration portfolio, including CI/CD, automated testing across framework and server versions, version compatibility awareness, and release readiness. Own the operational health of the integrations you build — monitoring, upgrades, breaking-change response, issue triage, and follow-through after launch. Partner with the Database Experience (DBX) org to define the driver, platform, and product capabilities your integrations depend on, making the case for what's needed and why. Work with product management, product design, partners, field teams, and open source maintainers to define the first version and future evolution of these integrations. Raise the technical bar within the team: shape architecture and development practices, give thorough code reviews, share what you know, and mentor peers and less experienced engineers. Stay current with the Python, TypeScript, and broader AI builder ecosystems and bring what you learn back to the team's roadmap. Bring a research and discovery mindset: notice emerging opportunities in the ecosystem, surface them early, and make the case for where MongoDB should show up next. Flag issues, risks, and resource needs early and clearly, both within the team and to cross-functional partners in other regions. Qualifications Strong background in building core components for scalable, high-availability services, developer platforms, or libraries 5+ years of experience building backend systems or developer-facing libraries, with strong proficiency in Python and/or TypeScript Proven success in designing, writing, testing, debugging, and performance tuning software in large, long-lived code bases, including code that other developers depend on Track record of identifying problems, implementing solutions, and delivering complex projects independently with minimal guidance A product-minded approach to engineering, with the judgment to make pragmatic tradeoffs between fast time-to-market and long-term maintainability, and the comfort to operate amid ambiguity and rapidly evolving technologies Demonstrated ability to context switch across a portfolio of projects while maintaining sound prioritization and quality. Strong and demonstrated interest in modern AI builder workflows and the developer tooling landscape: AI frameworks, agentic patterns, RAG and retrieval, embedding, vector search, or adjacent areas. Excellent verbal and written technical communication skills, including the ability to write things down clearly for partners you won't always overlap with in real time. Enjoys collaboration and being part of a close-knit team; is approachable, curious, and intellectually honest. Eager to learn, with a strong technical background. Nice to Have Meaningful open source contributions, especially work that landed in repositories you don't own and required navigating external maintainer review Professional experience building AI or framework integrations, MCP servers, agent skills, or plugins for agentic applications Familiarity with the agentic AI tooling ecosystem (AI IDEs, CLIs, and assistants) and how developers integrate with it Experience building and operating CI/CD and automated testing infrastructure for libraries with many downstream version and platform combinations Experience working with databases and knowledge of database internals; query optimization experience, especially with MongoDB Experience with vector search, embedding pipelines, or index management Working knowledge of Java, Go, C#, or Rust Experience with containerization and orchestration platforms (e.g. Docker, Kubernetes) and with AI frameworks and tooling Experience instrumenting usage telemetry and using it to guide investment decisions Familiarity with Jira and related tool Success measures In the first month, you will understand the team's scope, the high-level architecture of our integrations, where the relevant repositories and pipelines live, and the key technical dependencies around your work. You'll know who to go to in DBX and product, and you'll have landed your first meaningful code contribution In three months, you will own a significant integration or workstream end to end, have landed upstream contributions and established working relationships with the relevant external maintainers, and be contributing to how the team tests and releases its work In six months, you will have delivered a new integration or major capability that customers are using, improved the health and maintainability of the portfolio you own, and be a trusted voice in deciding where the team invests next In twelve months, you will be the recognized technical owner of a meaningful area of the portfolio, will have shaped architectural decisions and engineering practices beyond your own projects, and will be actively influencing the forward-looking technical strategy for how MongoDB shows up in the AI framework ecosystem 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- 3273512145

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

We are seeking a Senior Site Reliability Engineer to join our growing Gurugram Products & Technology team to provide technical direction, shape architecture, and build key operational foundations of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Senior Site Reliability Engineer on this new team, you will be responsible for enabling deployment at scale of AI applications and improving the performance, scalability, and reliability of the distributed systems infrastructure for this new product. The platform's SRE team owns the operational foundations: the Kubernetes fleet, networking, observability and alerting, and tenant isolation. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Operate and improve the multi-tenant Kubernetes infrastructure that runs customer workloads Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing Identify and configure key metrics to detect incidents and quantify service health, availability, and performance Participate in a 24/7 on-call rotation to resolve issues involving platform infrastructure Mentor early-career SREs and contribute to the team’s operational practices as it grows Qualifications Strong background in software development and operating distributed systems 6+ years of experience building and operating distributed systems, with proficiency in Python, Go, or a similar programming language Experience operating Kubernetes in production and debugging below the abstraction layer, including scheduling, cluster networking, and node-level issues Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Strong understanding of Linux operating system internals and networking concepts such as TCP/IP, DNS, TLS, and routing Customer-focused mindset and strong verbal and written technical communication skills, with a desire to collaborate with colleagues Strong bias for efficient processes, operational simplicity, and automation over manual work Bonus points for experience with Kubernetes networking, such as Istio or Cilium, service mesh or edge load balancing in production, secure multi-tenant runtime environments at scale, multi-cloud infrastructure management, and virtualization or workload isolation technologies Eager to learn, with a strong technical background 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 - 2273489536

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