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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

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Work as a software developer in a small Agile team delivering solutions onsite for customers focussed on migrating our customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Position Summary As an Application Delivery Consultant, you will work closely with customers to deliver tailored solutions for modernizing their legacy SQL-based systems and applications. Your role will involve collaborating with bite-size Agile teams, applying best practices, and contributing to system redesigns that leverage MongoDB. This is an excellent opportunity for candidates with strong technical fundamentals and a passion for learning, as the role provides extensive training and exposure to modern technologies like MongoDB, GenAI, and cloud-native architectures Position Expectations: Collaborate with project teams to deliver solutions for modernizing legacy SQL-based applications and migrating them to MongoDB Apply your knowledge of Java (or similar programming languages) and relational databases to support customer projects Follow and contribute to best practice playbooks for migrations and modern application development Continuously learn and adopt new technologies, especially MongoDB, GenAI tools, and cloud architectures, as projects demand Participate in sprint planning, grooming, and retrospectives to improve team processes and outputs Communicate progress, challenges, and ideas effectively within the team and to stakeholders Support debugging and performance optimization tasks during projects Be open to mentoring and guidance from senior team members while contributing to team discussions with a fresh perspective Key Qualifications 4–7 years of experience in software development, with a strong foundation in Core programming concepts specific to JAVA Relational databases and SQL, including basic stored procedures Application debugging and performance tuning Exposure to one or more enterprise application architectures, such as Spring Boot or Hibernate Experience working in Agile teams, with a familiarity with CI/CD pipelines and Git for version control Demonstrated curiosity and ability to learn new tools, frameworks, and best practices quickly Excellent problem-solving skills and a collaborative mindset Strong communication skills to engage effectively with team members and stakeholders Nice-to-Have Skills Familiarity with MongoDB or similar NoSQL databases Basic knowledge of GenAI tools and APIs (e.g., OpenAI GPT models) Exposure to Python and its application in scripting or data processing Basic understanding of cloud-native development concepts (e.g., Docker, Kubernetes, or microservices) Hands-on experience with ORMs like Hibernate or JPA Bonus Skills Prior experience with MongoDB and cloud platforms such as AWS, Azure, or GCP Knowledge of containerization and orchestration tools like Docker and Kubernetes Hands-on experience with GenAI technologies (e.g., OpenAI API, GPT models) and the ability to innovate new use cases within migration projects Key Competencies Strong team leadership and stakeholder engagement skills, with the ability to articulate technical solutions to non-technical audiences Exceptional problem-solving and debugging skills, applying creativity to complex challenges and GenAI innovations Adaptability and openness to evolving project needs, aligning with the latest industry trends and best practices Additional Considerations Due to the highly regulated nature of our industry, successful candidates may undergo enhanced background checks and security screenings. MongoDB is committed to providing a supportive, enriching work environment with a focus on employee wellbeing and growth. Why MongoDB? Join us in transforming the way enterprises manage and scale data. MongoDB provides a dynamic workplace culture with employee affinity groups, fertility assistance, and generous parental leave policies, ensuring an inclusive experience. About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 3273524386

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 org at MongoDB, we’re forming a brand new engineering team to make that happen, and we're looking for the founding Engineering Manager to hire the team, set the technical direction, and ship integrations into some of the fastest-moving open-source ecosystems in tech. In this role, you'll be close enough to the code to jump into exploratory work yourself while also building the team, process, and operational rigor to keep a growing integration portfolio healthy long-term. The new team will work mostly in Python and TypeScript while collaborating closely with client library teams and other engineering groups across MongoDB that deliver the underlying driver, platform, and product capabilities needed to support these integrations well. You’ll collaborate closely and move quickly with product, partners, field teams, the developer community, and open source project maintainers to ship where demand is real, deepen investment where adoption proves out, and evolve the portfolio over time as it becomes a critical part of MongoDB’s future in AI. MongoDB engineering teams pride themselves on building high-quality software and living our 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 Work closely with recruiting to hire a team of Python and TypeScript engineers who will build and own MongoDB integrations across a broad AI framework ecosystem that includes technologies like Langchain, LangGraph, LlamaIndex, n8n, and Mastra Execute effectively in a fast-moving environment where priorities may shift week to week based on framework changes, customer demand, partner needs, and strategic opportunity. Deliver quickly while keeping a high standard of technical quality Flag issues, concerns, and resource needs early, working with management to triage, staff, borrow expertise, and cross-functionally hand off completed projects as needed Work closely with product managers, program managers, sales, GTM, and peer engineering teams to define, prioritize, and deliver capabilities that improve the builder experience and strengthen MongoDB’s position in the AI framework ecosystem; help decide where to invest effort and where to pull back Manage dependencies on drivers, platform capabilities, and other MongoDB product surfaces required to deliver excellent framework integrations Collaborate with external teams who own open source projects MongoDB integrates with, maintaining a high standard of professionalism and courtesy to work effectively through external maintainer review cycles to land high-quality upstream contributions Jump in to do initial, exploratory work. Guide key decisions, unblock the team, and contribute when needed as projects grow Own the monitoring, operations, maintenance, and ongoing quality of a broad, evolving integration portfolio; develop testing strategy, release readiness, and operational follow-through after launch Help the team build and maintain sustainable engineering practices, including CI/CD, automated testing, version compatibility awareness, and strong integration health over time Develop a team that stays current with the Python, TypeScript, and broader AI builder ecosystems, including important frameworks, community discussions, and emerging patterns; maintain awareness of trends and discourse in contemporary AI Bring a research and discovery mindset to the role, using customer, community, partner, and field signals to help guide roadmap and investment decisions; identify emerging opportunities in the ecosystem and help decide where early investment could create strategic advantage Qualifications 8+ years of experience building developer platforms, libraries, or other high-scale technical systems, with strong proficiency in Python or TypeScript and an ability to lead teams working across both the Python and TypeScript ecosystems. Experience working with programming language polyglot teams is a plus 3+ years of experience managing a team of software engineers and providing technical leadership for complex projects or products Experience with query optimization (especially MongoDB) and AI coding tools; distributed systems experience would be an asset Demonstrated success hiring, mentoring, and growing high-performing engineering teams, including experience supporting career development, feedback, and performance management Demonstrated ability to operate effectively in a fast-moving technical landscape with frequent context switching, incomplete information, and competing opportunities, while maintaining sound prioritization and strong judgment Strong technical depth in developer-facing software, with the judgment to make and guide architectural trade-offs Experience leading the launch of new features or systems and operating them successfully in production after release Excellent written and verbal technical communication, with a strong instinct to collaborate across engineering, product, and other stakeholder groups A track record of escalating issues early and fostering a team culture that values intellectual honesty and collaboration Comfort operating in ambiguous, evolving spaces and helping teams make progress when customer behavior, technical requirements, or ecosystem priorities are still taking shape Strong and demonstrated interest in modern AI builder workflows and the developer tooling landscape, ideally with familiarity across frameworks, retrieval patterns, agent workflows, embedding, vector search, or adjacent areas; experience in this area would be an asset Experience working with open source software, external ecosystems, or integrations with third-party frameworks and communities, especially in the Python ecosystem; familiarity with open source contribution models, external maintainers, and engineering work that spans company-owned and upstream repositories would be a plus Success measures In the first month, you will understand the team’s scope, the high-level architecture of the platform and integrations, the current portfolio of work, and the key technical and organizational dependencies around the role. You will start building relationships with cross-functional partners, especially recruiting, and develop a hiring plan In three months, in collaboration with our recruiting team, you will have a healthy candidate pipeline and the first members of your new team onboarding. You’ll have a hand-off plan with the teams currently owning AI Framework Integrations In six months, you will have staffed the core of your team, demonstrated effective partnership with recruiting, taken responsibility for major initiatives in the upcoming quarter, and improved the team’s ability to execute through technical and organizational ambiguity In twelve months, you’ll be having active growth conversations with your team members about performance and longer-term career development. You’ll have led the development and operation of multiple meaningful features or integrations and helped shape the forward-looking technical and execution strategy for this area 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 - 3273511657

Come join and lead the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for a talented Lead Engineer to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration, and lives MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. If you want to lead a fast-growing team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 3+ years of experience managing a team of software engineers, including hiring, performance and growth management, compensation planning, and mentoring You have 8+ years of experience building production-quality systems software with large backend/compiled codebases, ideally in Rust. Bonus points for experience with performance profiling, network protocols, TLS, and connection management You have strong technical judgment that you use to effectively guide engineering decisions in security-sensitive or networking-adjacent domains You put the customer first and don't hesitate to cross team boundaries in search of the right solution Solid experience in designing, writing, testing, maintaining, and operating mission-critical software systems Bonus points Professional or advanced academic expertise in the domains of security or networking You enjoy coaching, career development, and creating growth opportunities to help your team reach their full potential You care about building a diverse, inclusive environment where engineers can do their best work Regardless of prior experience, you are willing, able, and excited to quickly learn new things in the domains of computer science, software engineering, and leadership Position Expectations Lead a team of engineers, managing all aspects of people management including hiring, growth, compensation, and performance management Be directly responsible for the results your team delivers Lead the design, implementation, and operation production-ready security services in Rust, with a focus on security, correctness, performance, and operational excellence Own the definition and execution of the team's 12-month roadmap for the Atlas Network Protection layer Work with Product Management, Program Management, and Engineering leadership to specify, prioritize, and deliver new features Handle (or lead the effort to handle) time-sensitive security incidents and customer escalations Estimate task complexity, communicate delivery timelines, and manage risks for projects executed by the team Ensure the team is running smoothly by eliminating technical barriers, coordinating cross-team dependencies, and focusing on the overall health and happiness of the team Contribute to planning for organizational growth, including allocation of engineering resources, future hiring plans, and assignment of projects Success Measures In the first month: Understand the high-level architecture of the Atlas Network Protection layer, the team's current projects, and the required day-to-day processes. Begin developing relationships with key stakeholders across Server, Atlas, and Product Security In three months: Take over full management of the team and begin building trust with your reports. Assume responsibility for day-to-day team operations. Be involved in reviewing designs for new features and helping the team navigate technical challenges. Hire engineers for the team as needed In six months: Establish yourself as a leader in the organization such that team members naturally come to you for guidance. Take over full ownership of Ingress Security’s software components. Lead the planning and execution of major features supporting the team’s major annual goals In twelve months: Perform a full annual cycle of performance and growth conversations with your team members. Contribute to the long-term vision for the Ingress Security stack and develop a plan to achieve that vision. Increase the capability and velocity of the team in measurable ways 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: 1273383870