Top Engineering Jobs

Cloud Operations Engineer responsible for monitoring MongoDB Atlas infrastructure, diagnosing and resolving customer incidents, automating operational tasks, improving systems and processes, coordinating outage communications, and participating in an on-call rotation. Requires Linux administration, networking, cloud platforms, monitoring, database operations, scripting, and programming experience.

Design and implement a distributed query optimization system for MongoDB. Research query systems, architect features, write and review production-quality C++ code, debug large codebases, coordinate cross-team integrations, and mentor engineers while shaping long-term roadmap and performance improvements.

Develop and lead architecture for a scalable AI application platform. Design, implement, test, debug, and optimize distributed systems and cloud services, while improving performance, scalability, reliability, and developer experience. Collaborate across research, product, design, and engineering teams; contribute to code reviews and development practices; mentor engineers; and own complex projects from problem identification through delivery.

Build and operate production MongoDB integrations and application capabilities directly within ISV codebases. Design data models, migrations, synchronization, dual-write and CDC solutions, and production-ready deployments across cloud, Kubernetes, and on-premises environments. Collaborate with partner engineers through implementation, code reviews, documentation, rollout, and knowledge transfer. The role involves regular travel and on-site work with partners.

Leads application architecture for ISV engagements, designing MongoDB integrations, data models, coexistence architectures, migrations, and deployment patterns. Reviews schemas, queries, indexes, code, and performance; prototypes critical paths; guides engineers and stakeholders; and develops reusable architecture assets. The role spans MongoDB Atlas, private clouds, Kubernetes, self-managed, and air-gapped environments, with regular travel to partner locations.

Build and operate MongoDB integrations and product capabilities within ISV codebases. Design data models, migrations, synchronization, dual-write and CDC solutions, and production-ready deployments across cloud, Kubernetes, and on-premises environments. Collaborate with partner engineers through implementation, code reviews, documentation, and rollout while addressing performance, scalability, resilience, observability, and security. The role also develops reusable implementation patterns and requires substantial partner-site travel.

Design, architect, build, and deliver core identity and access management services for MongoDB Atlas. Lead complex technical projects from specification through delivery, improve engineering practices and code quality, define priorities, and mentor team members. The role focuses on authentication, authorization, backend systems, and secure customer-facing IAM features while supporting FedRAMP requirements.

Leads and develops a team of Forward Deployed Engineers delivering production MongoDB integrations and solutions for software vendor partners. Responsibilities include prioritizing engagements, establishing repeatable delivery processes, guiding technical design and readiness, creating reusable engineering patterns, coordinating cross-functional stakeholders, engaging strategic partners, and measuring adoption and delivery impact.

Lead the architecture, development, and evolution of MongoDB’s Salesforce CRM platform. Design scalable applications, automations, integrations, and secure platform solutions while establishing engineering standards for coding, testing, CI/CD, and releases. Troubleshoot complex issues, reduce technical debt, evaluate emerging technologies, and guide modernization. Partner with stakeholders, lead design and code reviews, mentor engineers, manage technical priorities, and apply AI-powered development tools responsibly.

Provide advanced technical support to major MongoDB customers, resolving complex architecture, performance, recovery, security, networking, database, and infrastructure issues. Design and troubleshoot scalable production environments involving Linux, Kubernetes, storage, and automation. Develop internal diagnostic and support tools, document solutions, deliver training, mentor peers, and collaborate with product and engineering teams on customer escalations and new MongoDB capabilities.