Senior Software Engineer, Atlas Agent Engine
MongoDB is hiring a Senior Software Engineer, Atlas Agent Engine for a remote role open to applicants in Canada. It pays CAD 158k-CAD 264k a year and Level rates it ; you can apply on MongoDB.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions Cli, Sdk and AWS among its tools and skills.
- MongoDB has 374 other open roles on Level.
- Posted in the last few days.
AI in this role
Build and scale the core platform for Atlas Agent Engine, a distributed agent development platform for deploying AI agents in production.
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 175,000 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.
Atlas Agent Engine is an agent development platform built on Atlas. It lets enterprises build, deploy, and govern AI agents in production on top of their real-time operational data. Many agents stall between demo and production because of gaps in memory, governance, and security. Agent Engine addresses these natively, as one foundation for execution, memory, and governance, instead of a stack of separate tools.
We are seeking a Software Engineer to join the Atlas Agent Engine team to build and scale the core of this platform. You will work on the developer CLI, SDKs, and distributed systems that run agents reliably at scale: the runtime, memory, retrieval, identity, and governance layers. You’ll take on challenging, high-visibility projects that improve the performance, scalability, and reliability of a new product. MongoDB engineering teams pride themselves on building high-quality software and living our cultural values every day. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.
We are looking to speak to candidates in Canada based on our remote working model.
Position Expectations
- Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to implement the first version and future evolution of the service
- Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
- Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
- Mentor fellow engineers and assume ownership and accountability of projects
Qualifications
- Strong background in building core components for high scale compute and data distributed systems
- 5+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Go, Python, and Typescript.
- Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
- Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
- Good verbal and written technical communication skills, desire to collaborate with colleagues
- Bonus: Experience with AI frameworks and tools, open standards such as MCP, A2A, multi-tenant security, enterprise authentication and identity management.
- Eager to learn, with a strong technical background
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!
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: 427014
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, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
MongoDB’s base salary range for this role in Canada is:$158,000—$264,000 CADHow we rate this
Senior Software Engineer, Atlas Agent Engine at MongoDB rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Cli in your day-to-day work.
- What are the limits of Sdk that you've run into, and how did you work around them?
- What's a project where you used AWS hands-on?
- Walk me through how you've used Google Cloud in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Cli, Sdk, AWS, and Google Cloud. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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