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Serve as the dedicated compensation partner for Product & Technology leaders and HRBPs. Own new hire offers, internal equity reviews, leveling, out-of-cycle requests, and end-to-end compensation cycle execution. Lead market benchmarking, budget modeling, competitive intelligence, and global compensation projects. Build benchmarking methodologies, comp tools, and manager enablement materials. Partner closely with Recruiting, Finance, Legal, and People partners to provide market insights, recommendations, and drive cross-functional compensation initiatives.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Lead strategic customer relationships for Enterprise (G2000) accounts, driving retention, revenue realization, and advocacy. Advise on complex technical deployments, run business reviews, develop account strategies, mentor peers, coordinate cross-functional resources, influence product roadmap, and ensure measurable customer outcomes.

Engagement Managers at MongoDB drive Professional Services sales, manage project scoping, and collaborate with teams to ensure customer success.

Design, build, and operate multi-tenant elastic storage control-plane services. Ensure high availability and performance, run observability and on-call practices, lead complex projects, collaborate cross-functionally, mentor junior engineers, and contribute to scaling services handling petabytes of data.

Lead regional teams of MongoDB core and cloud support engineers to resolve performance and cloud-related issues, advise on architecture and data distribution, drive operational improvements and KPIs, mentor technical talent, manage escalations, collaborate globally on follow-the-sun support, and build strong relationships with key accounts to expand MongoDB usage.

Provide technical support and implementation guidance for MongoDB products and managed backups on Kubernetes. Troubleshoot production issues, design backup and DR strategies at scale, collaborate with enterprise customers, and feed product roadmap. Ramp through training, transition to weekend coverage, and advance to technical specialist handling escalations.

Coordinate high-volume interviewing and onboarding for intern, new grad, and sales development programs. Manage job postings in Greenhouse, schedule interviews, collect feedback, handle event logistics and swag, arrange candidate travel, support pre-program training and onboarding, distribute surveys, and assist with diverse early talent projects to ensure a smooth candidate experience.

As a Software Engineer 3, you will design and build core components for a multi-tenant inference platform integrated with MongoDB Atlas, collaborating with ML engineers to enhance performance and reliability.