MongoDB

Senior Staff Engineer to lead the development of a Generative AI-powered platform for modernizing legacy applications. The role involves architecting complex distributed systems, designing orchestration agents, and delivering an enterprise-grade product that balances customer-specific tuning with scalability. Focus on minimizing deployment friction and meeting compliance requirements.

Senior Staff Engineer to lead the development of a Generative AI-powered platform for modernizing legacy applications. The role involves architecting complex distributed systems, designing orchestration agents, and delivering an enterprise-grade product that balances customer-specific tuning with scalability. Focus on minimizing deployment friction and meeting compliance requirements.

Software Engineer to build tooling for application modernization and data migration to MongoDB, focusing on a generative AI platform for code generation and migration. Requires strong backend, distributed systems, and Java ecosystem experience, with streaming systems and data-intensive applications.

Software Engineer to build tooling for application modernization and data migration to MongoDB, focusing on a generative AI platform for code generation and migration. Requires strong backend, distributed systems, and Java ecosystem experience, with streaming systems and data-intensive applications.

Staff Engineer to build AI-powered code transformation tools for modernizing legacy applications. This role involves leading the design, building, and optimization of code transformation workflows and tools, crafting orchestration layers, integration points, and data systems that leverage AI for code generation, build, and test. Requires experience integrating GenAI into large-scale systems and leading AI model integration workflows.

Software Engineer on the Developer Productivity team at MongoDB, focusing on the Build Team. This role involves improving the reliability, performance, and developer experience of build systems (like Bazel) used to package and ship complex software. The candidate will update tooling, provide internal support, and learn core software development principles for shipping code at scale. While not directly building AI models, the role involves using and tuning AI tools to accelerate development velocity and improve code quality, and the company positions itself as enabling the AI era.

Software Engineer to build backend systems and applications for MongoDB's Application Modernisation Platform (AMP). The role involves developing code analysis tools and schema recommendation engines, leveraging AI to enhance customer understanding and modernization of application codebases. Experience with LLMs and agentic workflows is a plus.

Staff Integration Engineer role focused on designing, implementing, and governing enterprise-grade integrations using Workato and modern API management patterns. The role emphasizes scalability, security, observability, and event-driven/API-first designs for core business processes. The team's mission includes streamlining systems and minimizing manual work through automation and AI.

This role is for a Staff Content Engineer on the Builder Relations team, focusing on creating resources and content to help developers integrate MongoDB's data and AI capabilities into their applications. The role involves engaging with the developer community, producing tutorials, articles, and videos, and providing feedback to product teams. While the company is in the AI space and the role mentions AI capabilities and AI-assisted coding tools, the core function is developer advocacy and content creation, not building AI models or systems.

This role involves modernizing legacy relational applications to a cloud-based architecture running on MongoDB, leveraging GenAI tools and approaches to accelerate the process. The consultant will work as a software developer in an Agile environment, migrating Java applications and innovating on new GenAI-based solutions.

Staff Engineer to architect the platform foundation and infrastructure for an AI-powered modernization suite that operates seamlessly in client-controlled, potentially air-gapped environments. Focus on distributed systems, security, and enabling GenAI capabilities for enterprises.

Senior Python Engineer role focused on developing and supporting open-source libraries for MongoDB, with a requirement for practical experience in AI/ML frameworks, LLMs, and agentic tools. The role involves contributing to core drivers, specifications, and collaborating with product teams to shape the roadmap.

Senior Python Engineer role focused on building and supporting open-source libraries for MongoDB developers, with a specific emphasis on integrating AI/ML frameworks, large language models, and agentic tools. The role involves contributing to the MongoDB Python drivers and related software, participating in open-source communities, and potentially influencing the roadmap for new user-facing features.

Senior Software Engineer role focused on building intelligent tools for application modernization using AI, including code analysis and schema recommendation engines. The role involves backend and frontend development, with an emphasis on scalable systems and APIs, and collaboration across teams. Experience with AI-powered features, LLMs, and agentic workflows is a plus.

This role is for a Senior Technical Program Manager focused on application modernization, helping developers transition from relational databases to MongoDB. The team builds toolkits that leverage AI to power these transitions. The TPM will own the delivery of complex, cross-functional efforts, partnering with Engineering, Product, and other teams to execute the product vision, solve technical challenges, and provide data-driven insights. While the role involves working with AI-powered tools and understanding AI/ML concepts, the core responsibility is program management and delivery, not direct AI/ML model development or research.

Senior Staff Engineer role focused on enhancing MongoDB's developer productivity ecosystem by integrating analytics assistants and leveraging AI tools to improve developer velocity and efficiency. The role involves driving operational excellence, designing development systems, and providing technical leadership within a large engineering environment.

Senior Engineering Manager for Code Generation team at MongoDB, focusing on leveraging Generative AI to transform legacy applications into modern architectures. The role involves leading a team, driving architectural decisions, and collaborating with product management to deliver a product that solves customer challenges in application transformation.

Senior Engineering Manager for a Code Generation team at MongoDB, focused on using GenAI to transform legacy applications into modern architectures. The role involves technical leadership, architectural decision-making, team mentorship, and collaboration with product management to deliver enterprise-grade AI-powered products.

Senior Software Engineer role focused on building customer-facing features for MongoDB Atlas, including AI-powered tools like a chatbot and recommendation system. The role involves leading complex projects, mentoring, and contributing to the technical direction within a cloud engineering group.

Staff Engineer to architect the platform foundation and infrastructure for an AI-powered modernization suite that operates seamlessly in client-controlled, potentially air-gapped environments. Focus on distributed systems, security, and enabling GenAI capabilities for enterprises.

This role focuses on architecting and modernizing Quote-to-Revenue processes, with a specific emphasis on integrating AI capabilities. The architect will define strategy and lead technical design for monetization platforms, including usage-based billing, and will be responsible for architecting AI-integrated enterprise systems, RAG patterns, vector search, and LLM integration with structured data pipelines. The goal is to enable AI-driven business transformation and improve operational efficiency.

Seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of the enterprise data landscape, focusing on integrating Data Lake and Data Warehouse across multi-cloud platforms. The role will enable self-service data access, natural language query, architect MDM and data lineage for AI models, and evaluate AI tools for data quality and security. Experience with RAG architectures and vector databases is a plus.

Senior Technical Program Manager to join a new team building a platform for AI applications using MongoDB. The role involves owning processes across the engineering department, ensuring smooth operations from idea to release, and working with distributed teams and early customers.

Software Engineer to join a new team focused on developing and expanding core parts of a new platform for building AI applications using MongoDB. The role involves developing cutting-edge technologies for deploying AI applications at scale, focusing on performance, scalability, and reliability of distributed systems infrastructure.

Senior Staff Engineer to provide technical direction, architecture, and implementation for a new platform enabling AI application development with MongoDB. Focus on distributed systems infrastructure for AI application deployment at scale.

This role focuses on exploring, evaluating, building, and applying Generative AI tools to accelerate application modernization projects for enterprise clients. The engineer will work with customer project teams, provide feedback to R&D, contribute to tooling prototypes, and help shape the product roadmap, with a good understanding of GenAI concepts and tools.

Senior Software Engineer to build core components of a new platform for deploying AI applications at scale, focusing on distributed systems infrastructure, performance, scalability, and reliability.

Staff Engineer to provide technical direction, architecture, and implementation for a new platform enabling customers to build and deploy AI applications at scale using MongoDB. Focus on distributed systems infrastructure for AI.

Seeking an Engineering Lead in Gurugram to provide technical direction, architecture, and implement core parts of a new platform for building AI applications with MongoDB. Responsibilities include leading a team, driving architectural vision, collaborating with product teams, owning system operations, and contributing to organizational growth. Requires 8+ years in distributed systems/cloud services, 2+ years in management, and strong communication skills. Bonus for experience with Kubernetes and AI frameworks.

Software Engineer to build and optimize a vector database on top of MongoDB, focusing on the $vectorSearch aggregation operator for high-dimensional vector queries and performance at scale.

Senior Software Engineer to build the next-generation inference platform for embedding models used in semantic search and AI-native experiences within MongoDB Atlas. The role focuses on core systems and services for real-time, low-latency, high-scale inference, collaborating with ML researchers and engineers.

This role is for a Senior Product Security Engineer at MongoDB, focusing on securing their database products which are used for AI/ML applications. The role involves taking ownership of security initiatives, driving strategy, performing security assessments, and partnering with engineering teams to implement security controls. While the company is transforming industries with AI/ML and the database is positioned for the AI era, the core function of this role is product security engineering, not direct AI/ML model development or research.

This role is for a Senior Manager of Technical Services Engineering at MongoDB. The primary focus is on leading regional teams of Support Engineers who troubleshoot issues related to MongoDB's core database functionality and cloud services. While the role requires an understanding of how AI systems interact with data platforms and how AI can enhance team operations, the core responsibility is managing technical support and customer-facing engineering teams, not directly building or researching AI models. The role emphasizes operational excellence, people management, and deep technical knowledge of database technologies.

This role focuses on exploring and applying Generative AI technologies to accelerate application modernization projects for enterprise clients. The engineer will evaluate, build, and apply AI tools, provide feedback to R&D, contribute to tooling prototypes, and help shape the product roadmap. The role involves working with customers on modernization initiatives, executing Proofs of Concept (POCs), and potentially developing or extending tools for customer success and product integration. A good understanding of Generative AI concepts and experience building AI tools is required, with a strong interest in AI-supported toolchains for application development.

This Staff Engineer role on the Search Systems team at MongoDB focuses on building the core infrastructure for MongoDB Search and Vector Search. The role involves defining the architecture for a self-contained search system, integrating AI-native capabilities, and leading the evolution of the core database infrastructure. The position requires deep experience in data management systems and distributed infrastructure, with a focus on operational architecture and scale-first thinking.

Seeking a Senior Manager for Finance Technology in Gurugram to lead a FinTech engineering organization supporting global Finance systems. The role involves owning strategy, architecture, delivery, and operational excellence for core finance platforms including NetSuite, Coupa, SAP Concur, and RPA/AI-driven automation solutions. Requires strong functional expertise in Finance and deep systems knowledge, bridging Finance, Engineering, and Business stakeholders, and building a high-performing team. Key responsibilities include defining strategy, leading platform modernization, ensuring SOX compliance, building and managing engineering teams, driving automation with RPA and AI, and stakeholder engagement.

Lead Salesforce Engineer responsible for the architecture, design, and evolution of critical Salesforce and CRM solutions. This role involves technical leadership, hands-on solution design, stakeholder partnership, people management, and leveraging AI-powered development tools to improve productivity and platform health within a SaaS organization focused on sales processes.

Head of Talent Discovery at MongoDB, leading a global team to solve complex hiring challenges. This role focuses on strategic sourcing, full-lifecycle support, and leveraging data and AI tools to innovate talent pipelining and drive hiring goals across the organization. The position requires strong leadership, change management, data fluency, and executive influence.

Head of Talent Discovery at MongoDB, leading a global team to solve complex hiring challenges. This role focuses on strategic sourcing, full-lifecycle support, and leveraging data and AI tools to innovate talent pipelining and drive hiring goals across the organization. The position requires strong leadership, change management, data fluency, and executive influence.

Head of Talent Discovery at MongoDB, leading a global team to solve complex hiring challenges. This role focuses on strategic sourcing, full-lifecycle support, and leveraging data and AI tools to innovate talent pipelining and drive hiring goals across the organization. The position requires strong leadership, change management, data fluency, and executive influence.

Solutions Architect for MongoDB's Application Modernization Platform (AMP) team, focusing on accelerating the adoption of MongoDB by modernizing legacy applications using GenAI and deterministic tools. The role involves supporting sales and delivery of modernization engagements, including analyzing legacy code, transforming code, automated test generation, and side-by-side testing.

Staff Technical Program Manager at MongoDB, responsible for leading complex, cross-functional engineering programs. This role partners with Engineering, Product, and Design to execute product vision, solve technical challenges, and provide data-driven insights. The role requires strong technical acumen, program management experience, and the ability to influence improvements in tools and operations. While the company enables AI applications, this specific role focuses on program management rather than direct AI/ML development.

Senior Software Engineer for MongoDB Atlas Clusters Platform, focusing on building and designing features for a large-scale, distributed database-as-a-service offering that interfaces with major cloud providers. The role involves leading technical projects, collaborating with stakeholders, and participating in an on-call rotation.

This role is an Information Security Risk Program Manager responsible for the operational execution of the internal risk program. The role involves executing risk assessments, identifying and evaluating controls, and managing the risk register. While the role monitors and flags AI-related risks, its core function is enterprise risk management and compliance, not AI/ML development.

Engineering Manager for MongoDB Atlas Clusters Security team in Dublin. This role involves managing a team of individual contributors, contributing to code/design/architecture, working with stakeholders on roadmap, fixing issues with customers/support, and fostering an inclusive environment. Requires 6+ years of software development and 3+ years of people management experience, with skills in large-scale distributed backend systems and cloud providers. Experience with security features is a plus.

This role is responsible for the operational execution of an internal risk program, focusing on the daily execution of strategy. The Program Manager ensures the 'production line' of risk assessment, processing raw signals into actionable risk decisions. The ultimate objective is the reduction of uncertainty by providing leadership with a clear view of enterprise risks. The role involves working with Engineering and Product teams, guiding stakeholders through the risk intake process, and ensuring quality by scoping and quantifying risks. Key responsibilities include risk identification and assessment, control identification and assessment, risk categorization, reporting, and stakeholder engagement, with a focus on data integrity and governance hygiene. The role also involves monitoring emerging risks, including AI-related risks.

This role focuses on building the next generation of the internal Atlas development platform to enable hundreds of MongoDB Atlas engineers. The team empowers autonomous product teams by investing in systems, tooling, and education to drive the developer platform, aiming to elevate the engineering experience and promote operational excellence for highly available, secure distributed systems.

Associate Recruiter role focused on full-lifecycle recruiting and passive talent sourcing for both technical and non-technical roles within MongoDB, a company that provides a database platform for AI.