Software Engineer 3

MongoDB•Published 1 hours ago•First seen 1 hours ago

MongoDB’s Application Modernization Platform (AMP) helps organizations modernize legacy applications and move their workloads and associated data from relational databases to MongoDB. Our customers need a dependable way to bring analysis, transformation, testing, and migration capabilities into their modernization workflows.

The Agentic Integrations team builds the interfaces that let AMP capabilities be discovered, invoked, and orchestrated from AI agents and development environments. We expose product services through consistent, well-specified tool and API surfaces, keep authentication and execution context correct across every boundary, and make each integration observable and safe to operate. Our work is what makes AMP usable from the assistants and coding agents our customers already run.

We are looking for a Software Engineer 3 to build and operate these integrations. You will design tool and API surfaces for AMP services, implement them end to end, and work with product and platform engineers so that they behave predictably when a model calls them. Your impact will be measured by how reliably agents and developers can invoke AMP capabilities, and by how much integration work your components remove for other teams.

We are looking to speak to candidates who are based in New York City for our hybrid working model.

What you will do

Design and implement agent and developer facing integrations for AMP services, including tool definitions, API clients, and the adapters between them
Define clear input and output contracts for each integration, including validation, error semantics, and behavior when a call is malformed or only partially succeeds
Propagate authentication, authorization, and tenant context across integration boundaries so that agent-invoked calls carry no more privilege than the user they act for
Build the instrumentation needed to observe agent-driven traffic, including structured logs, traces, latency and failure metrics, and actionable diagnostics
Write production-quality code and the unit, integration, and end-to-end tests that demonstrate correctness, including tests for nondeterministic model behavior
Diagnose failures that span service, tool, and model boundaries, and drive them to root cause
Contribute integrations to shared SDKs, command-line tools, and agent frameworks used by other teams
Collaborate with product managers, platform engineers, and partner teams on scoped initiatives, and break work into incremental deliverables
Participate in code reviews, design reviews, and technical discussions that raise the quality of the team’s work
Interview candidates and mentor engineers and interns

What you bring

Required

At least four years of experience building and operating production software services
Proficiency in a backend language such as Python, Go, Java, or TypeScript, with the judgment to work effectively in more than one
Experience designing APIs or service interfaces, including versioning, error handling, and backward compatibility
Practical experience with authentication and authorization mechanisms such as OAuth, API keys, or service-to-service identity
Experience with automated testing, continuous delivery, and debugging in distributed systems
Strong written and verbal technical communication skills
A collaborative approach and the ability to make realistic assessments of project complexity and delivery risk

Preferred

Experience building tool or integration surfaces for AI agents or large language models, including execution context, tool schemas, or guardrails against nondeterministic behavior
Experience with the Model Context Protocol or a comparable agent-to-tool integration standard
Experience shipping developer tooling such as CLIs, SDKs, or local servers that run inside customer-managed environments
Familiarity with application modernization, relational databases, MongoDB, or automated code transformation
Experience working with customers or field teams on integration and deployment issues
Experience mentoring engineers or interns and contributing to technical hiring

Candidates with additional relevant experience may be considered for more senior roles.

What success looks like

In your first month

Build a working understanding of AMP’s architecture, the team’s integration patterns, and the development and testing workflow.
Ship small, well-scoped integration fixes and contribute effectively to code reviews.

In your first three months

Own delivery of an integration for one AMP capability, from interface definition through production rollout.
Establish the tests and telemetry that let the team detect and diagnose failures in that integration.

In your first six months

Take regular ownership of code reviews and participate meaningfully in design reviews for agent-facing interfaces.
Independently drive a scoped technical project from investigation through implementation and validation, coordinating with the partner team that consumes it.

In your first twelve months

Lead the development of a substantial integration or reusable component that other teams adopt.
Help mentor new engineers and contribute to the team’s integration standards and technical direction.

Why MongoDB

At MongoDB, you will work with engineers who care deeply about developer experience, data correctness, and the interfaces that other software builds on. The Agentic Integrations team sits where the data platform meets the agentic tooling our customers are adopting, so your work will be visible in the products and assistants they use every day. You will have the scope to shape how AMP capabilities are exposed, and the support to grow into deeper ownership of the integration layer.

MongoDB is committed to creating a supportive and inclusive environment where employees can grow and do their best work. Our benefits and employee programs are designed to support people through every stage of their professional and personal lives.

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 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 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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: 4273608317

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.

MongoDB’s base salary range for this role in the U.S. is:

$106,000-$209,000 USD