Job Description
MongoDB’s mission is to empower innovators to create transform and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build scale and run modern applications by helping them modernize legacy workloads embrace innovation and unleash AI. Our industry-leading developer data platform MongoDB Atlas is the only globally distributed multi-cloud database and is available in more than 115 regions across AWS Google Cloud and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises or across cloud providers. With offices worldwide and over 175000 new developers signing up to use MongoDB every month it’s no wonder that leading organizations like Samsung and Toyota trust MongoDB to build next-generation AI-powered applications.
About the RoleWe're looking for a Software Engineer 3 to join the Voyage Control Plane team. In this role you will build the management and orchestration layer that enables thousands of developers to use Voyage's embedding and reranking models within the MongoDB Atlas ecosystem.
You will collaborate closely with the Voyage Inference Platform engineers ML researchers and broader Atlas teams to deliver cloud-first and developer-first experiences. Your work ensures that adopting AI models is as reliable and user-friendly as the core database experience itself.
As a Software Engineer 3 you will focus on building secure multi-tenant systems that handle identity governance and billing for our AI offerings. You will own key components of the control plane infrastructure ensuring seamless integration with the Atlas ecosystem.
This role is based in Palo Alto CA or Seattle WA with an in-office or hybrid work model.
What You’ll Do- Design and develop the Atlas Administration API and Infrastructure as Code (Terraform) providers to automate the lifecycle management of AI resources
- Collaborate closely with Atlas platform teams Voyage Inference Platform engineers and ML researchers to deliver seamless developer-first experiences for embedding and reranking models
- Build and maintain customer-facing observability features including real-time performance metrics (TPM/RPM) and usage tracking
- Contribute new features to and support the legacy Voyage platform (dash.voyageai.com) while facilitating the strategic migration of user experiences and account management to the Atlas AI Model APIs frontend (cloud.mongodb.com)
- Implement governance systems including audit trails and actionable customer alerts for AI model usage
- Build and scale internal Ops dashboards to empower support sales and engineering teams to manage customer accounts effectively
- Develop and maintain robust billing pipelines that translate raw inference events into accurate invoices
- 2+ years of experience building distributed backend systems at scale
- Strong software engineering skills in languages such as Typescript Go Java or Python with an emphasis on availability and consistency
- Experienced in cloud-native architectures distributed systems and multi-tenant service design
- Experience with Docker Kubernetes and Cloud Native Computing is a plus
- Comfortable working across cross-functional teams including ML researchers inference engineers and platform teams
- Passionate about building cloud-first and developer-first systems integrated into the MongoDB Atlas ecosystem
- Knowledge of OpenAPI Specification Swagger gRPC and Python FastAPI
- Proven track record of collaborating with product teams and cross-functional engineering teams
- Experience building multi-tenant control plane backends for an AI inference platform
- Be part of building the customer experiences of AI offering of the world’s most popular developer data platform
- Tackle complex problems in multi-tenancy governance and resource orchestration while ensuring that Control Plane stability remains independent of Data Plane inference performance
- Work in a culture that emphasizes mentorship ownership and technical excellence
MongoDB is built for change empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era enabling builders to create transform and disrupt industries with software. MongoDB’s unified data platform the most widely available globally distributed data platform 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 data platform and is available across AWS Google Cloud and Microsoft Azure.
With offices worldwide and over 67000 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 Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
Req. ID: 2273485618
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set experience qualifications and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity participation in the employee stock purchase program flexible paid time off 20 weeks fully-paid gender-neutral parental leave fertility and adoption assistance 401(k) plan mental health counseling access to transgender-inclusive health insurance coverage and health benefits offerings. Please note the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Skills Required
- 2+ years of experience building distributed backend systems at scale
- Strong software engineering skills in TypeScript Go Java or Python
- Experience with cloud-native architectures distributed systems and multi-tenant service design
- Comfortable working across cross-functional teams including ML researchers and platform engineers
- Experience with Docker Kubernetes and Cloud Native Computing
- Experience with Infrastructure as Code and Terraform providers
- Knowledge of OpenAPI/Swagger gRPC and Python FastAPI
- Experience building multi-tenant control plane backends for an AI inference platform
What the Team is Saying
MongoDB Compensation & Benefits Highlights
- Healthcare Strength—Health coverage includes an employee-only option with no paycheck deductions in at least one plan employer HSA contributions and free One Medical membership indicating strong medical and wellness support.
- Parental & Family Support—Paid parental leave and generous reimbursement for fertility adoption and surrogacy—along with parenting support resources—signal a robust family-building package.
- Leave & Time Off Breadth—A flexible/unlimited PTO policy for U.S. employees alongside company holidays supports meaningful time away from work.
MongoDB Insights
What We Do
The database market is big. How big? Well according to IDC it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want wherever they want.
Why Work With Us
We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.
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Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
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Date Posted
07/02/2026
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