• Own onboarding and deployment from day one post-close • Drive customers to consumption • Write production-quality code where needed • Unblock customers fast • Build adoption depth beyond the initial champion • Become the technical advisor customers call before they escalate • Feed deployment and adoption signals back to Product and Engineering • Help define what great post-sale technical execution looks like

The Search Query team at MongoDB builds the core infrastructure behind MongoDB Search and Vector Search. Our mission is to make advanced search capabilities feel native to the database, so developers can build powerful, scalable applications without standing up separate systems or compromising transactional performance. We are the team behind mongot, the indexing and query execution engine that powers Search and Vector Search across MongoDB Atlas and self-managed deployments. Our work sits at the intersection of distributed systems, databases, and search infrastructure. We integrate Apache Lucene with MongoDB using native query operators like $search and $vectorSearch, build asynchronous change-stream-driven indexing pipelines that scale independently from transactional workloads, and support deployments across cloud, on-prem, and hybrid environments. Engineers on this team own meaningful subsystems, influence architectural decisions, and work on core database technology used by developers globally. We are looking to speak to candidates who are based in Toronto, Ontario, Canada for our hybrid working model. What You'll Do:This is a rare opportunity to set the technical direction for one of MongoDB's most strategic investments. You will harden our infrastructure by implementing advanced resource management, admission control, and system safeguards to ensure high availability. You’ll serve as a force multiplier for the Search and Vector teams, building the foundational tooling, observability, and safeguards needed to ship high performance systems at scale. In this role, you will: - Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, carrying outcomes that span 6-18 months - Define the technical roadmap for Atlas Search, identifying gaps, proposing solutions, and driving alignment across engineering teams globally - Lead the architecture and evolution of the core mongot and MongoDB infrastructure, making durability, consistency, and scale decisions with conviction - Drive complex, multi-team initiatives by building technical consensus, navigating ambiguity, and setting direction when there is no clean playbook - Serve as a trusted technical partner to leadership on roadmap, architecture, and engineering process, advising rather than just informing - Raise the technical ceiling of the team through mentoring, rigorous code review, and knowledge-sharing that creates leverage beyond your own output - Standardize how engineering teams across the globe contract with one another, reducing coordination costs and increasing execution velocity at scale What We're Looking For: - 8+ years of experience in data management systems or related distributed infrastructure - Deep proficiency in modern programming languages and techniques, e.g., Java, Rust - Demonstrable experience designing and operating distributed systems, cloud services, or SaaS products at scale - The ability to reason about systems at the physical layer: data consistency, durability guarantees, concurrency, and failure modes in distributed environments - A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery Preferred (not required): - Experience designing or maintaining search platforms or distributed databases - Experience building query engines or information retrieval systems - Contributor to Lucene or other similar projects The profile we hire at this level:Operational Architects. You understand the physical limits of the stack. You can articulate why a system breaks at 100x load, reason about the risks of a dual-write migration strategy, and make data consistency and durability decisions with conviction. Scale-First Thinkers. You identify risks before they surface. You think in migration paths, failure modes, and second-order architectural consequences, not just implementation details. Technical Force Multipliers. You create leverage across teams. You challenge requirements rather than execute them, set technical direction independently, and hold a high bar for architectural clarity whether you are mentoring a struggling engineer or reviewing a design with a principal. Systems Intuitionists. You connect operational constraints to design decisions in concrete terms. You know why fsync matters. You know how atomic operations behave under contention. You have built systems where these things were not hypothetical. 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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 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: 4263333185

• Build Agents and Automations for EPDI Operations • Own the Internal Skills and Agent Library • Translate Operational Pain Points Into AI Workflows • Own Full-Stack AI Builds End to End • Document and Enable Adoption • Run Applied AI Experiments • Drive Responsible AI Practices

Role Description We’re looking for a Full Stack Engineer who enjoys building practical systems that solve real operational problems. This role supports a large-scale lending and financial services platform focused on modernizing how loan and financial data systems are built, maintained, and supported. You’ll work across backend services, APIs, databases, and frontend applications to help develop secure, scalable systems that support lending workflows, financial data processing, and customer-facing applications. If you have experience in mortgage, lending, fintech, or regulated environments, that’s a plus. If not, strong engineering fundamentals and an interest in financial platforms go a long way here. - Design, build, and maintain full stack applications supporting lending and financial services workflows - Develop backend services, APIs, and integrations using Java and related technologies - Support frontend application development and user-facing platform enhancements - Build and support systems related to loan origination, servicing, portfolio management, and financial data processing - Work with databases, data models, and workflow automation tools to support operational processes - Collaborate with product owners, architects, DevOps teams, and other engineers across Agile delivery teams - Support secure coding practices and compliance requirements within regulated environments - Troubleshoot application issues, performance bottlenecks, and integration problems - Participate in code reviews, sprint planning, testing, and release activities - Contribute to modernization efforts involving cloud platforms, APIs, and scalable distributed systems Qualifications - 3+ years of experience in Java or full stack software engineering roles - Experience building backend services and APIs using Java, Spring Boot, or related frameworks - Familiarity with frontend technologies such as React, Angular, JavaScript, or TypeScript - Experience working with relational or NoSQL databases - Understanding of API integrations, microservices, and distributed systems concepts - Familiarity with CI/CD pipelines, Git, and Agile development practices - Strong troubleshooting and problem-solving skills - Experience supporting cloud-based or enterprise application environments - Mortgage, lending, fintech, or financial systems experience is a plus - Federal government experience is a plus - Ability to obtain and maintain a Public Trust or other required government clearance Benefits - CADRE Cares Program: A range of benefits and initiatives aimed at enhancing overall well-being and job satisfaction - CADRE Convoy Program: A dedicated support system designed to cater to your individual needs - CADRE Connect Program: Initiatives that promote open communication and encourage continuous growth and development - CADRE Compensation Program: - 401(k) Safe Harbor Plans with Matching & Immediate Vesting - Medical, Dental, & Vision Plans - Paid Time Off: Holidays, Vacation, Wellness, & Personal Leave Plans - Continuing Education & Training Budget - Office & Technology Budget - Cell Phone Budget - Wellness & Healthy Living Budget - Awards & Bonuses - Profit Sharing Plans Company Description We’re more than a government contracting company. We’re a cadre, a specialized team built to support government agencies with practical, reliable solutions to complex operational and technology challenges. We strategically mobilize, manage, and maintain specialized cadres using our RO(M³) model. CADRE GOVERNMENT SOLUTIONS is an Equal Opportunity and Affirmative Action Employer. We welcome and encourage diversity in our workforce. It is the policy of CADRE GOVERNMENT SOLUTIONS to provide equal employment opportunity to all employees and qualified applicants without regard to race, color, religion, national origin, sex, age, disability, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected characteristic under federal, state, or local law.