Top Engineering Jobs

Develop and deliver customer solutions that modernize legacy Java and SQL applications by migrating them to MongoDB and cloud-native architectures. Collaborate in Agile teams, apply migration best practices, debug and optimize applications, and explore GenAI-powered migration solutions. The role requires stakeholder communication, continuous learning, and technical collaboration across customer projects.

Administer, configure, develop, test, and support Xactly sales compensation systems and incentive plans. Gather requirements, write rules, analyze results, troubleshoot issues, coordinate integrations with data warehouse and ETL teams, and support implementations. Partner with Sales Operations and Finance on testing, communications, training, reporting, and process improvements. The role also documents configurations, leads project efforts, and provides business insights through analysis.

Leads and manages an 8–10-person storage engineering team responsible for MongoDB’s transactional read/write path, durability, availability, performance, indexing, and storage architecture. Owns the roadmap, customer escalations, cross-team initiatives, engineering quality, hiring, coaching, and execution. Partners with Replication, Query, Sharding, Atlas, and other teams on distributed systems and workload-management improvements.

Lead and manage MongoDB’s Storage Execution team, owning the roadmap for durability, availability, performance, transactions, storage architecture, index operations, and developer productivity. Partner with adjacent engineering and cloud teams, manage customer escalations, drive cross-team initiatives, improve engineering processes, and develop engineers through hiring, coaching, and performance management.

Design, develop, integrate, and support Salesforce-based marketing technology and business systems. Own lead lifecycle, campaign operations, account and territory management, partner portals, Outreach workflows, data quality, APIs, and inbound/outbound integrations. Translate requirements into scalable solutions, perform testing and deployment, maintain documentation and monitoring, improve platform governance, and collaborate with Marketing Operations, Sales, Revenue Operations, Data, and Engineering teams.

Lead application modernization projects for enterprise customers, migrating legacy Java applications to cloud-based architectures on MongoDB. Shape technical strategy, assess legacy systems, design Spring Boot services and APIs, transform relational data models, and establish testing, CI/CD, observability, and rollback practices. Act as a senior customer-facing technical partner, manage complex trade-offs, mentor engineers, create reusable migration playbooks, and responsibly apply GenAI to accelerate delivery.

Lead technical strategy and solution architecture for complex, high-value GSI-led bids. Develop joint solutions, proposals, architectures, demonstrations, and executive presentations while coordinating MongoDB, partners, customers, sales, delivery, legal, and finance stakeholders. Translate business outcomes into scalable, secure MongoDB architectures and partner delivery models, identify risks and competitive threats, support strategic pursuits, create reusable bid assets, and mentor architects and partner technical teams.

Own and evolve MongoDB’s global network infrastructure, including Cisco Meraki, VPN, SASE, authentication, firewalls, wireless, and cloud networking. Design and deploy secure, highly available office networks; troubleshoot complex L3 issues; automate network operations; partner with InfoSec, workplace, physical security, ISPs, and vendors; communicate risk and strategy; and mentor network engineers.

Senior Solutions Architect in MongoDB’s pre-sales organization, guiding enterprise customers in designing scalable, reliable applications and distributed systems using MongoDB and cloud technologies. Responsibilities include architecture reviews, technical discovery, demonstrations, proofs of value, sizing, documentation, account planning, demand generation, and customer success. The role partners closely with sales teams, advises technical and business stakeholders, mentors colleagues, and travels up to 25%.

Lead the architecture and technical direction of MongoDB’s next-generation Search and Vector Search infrastructure. Own cross-system data infrastructure, define technical roadmaps, evolve mongot and Mongo Management Service, drive complex multi-team initiatives, make distributed-systems decisions around consistency, durability, scale, and failure modes, and mentor engineers while influencing leadership and global engineering practices.