Senior Staff Engineer, AMP

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging

Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We

are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the

"hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and

infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or

network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive

environments with making them easily extensible and scalable for common application modernization challenges.

We seek an

engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical

direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles,

and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements,

and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who

excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents

necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's

West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have​

• 10+ years

of software development and operations experience, with a focus on building platforms and distributable software

infrastructure

• Deep experience in building data warehouses and core components for data processing systems
• Have

experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do

• Understanding

of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input

validation

• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact

results

• Excellent verbal and written technical communication skills and a strong desire to collaborate

cross-functions

• Excellent time and project management skills including the ability to make realistic assessments of

project cost and complexity

• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI

skillset

Key Responsibilities​

• Provide technical leadership and mentorship to a team of engineers,

fostering a culture of innovation, quality, and continuous improvement

• Provide thought leadership, and execute AMP

roadmaps to influence and shape the future of how global enterprises leverage GenAI

• Lead the design and implementation of

a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization

stages

• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and

easy to assemble to an autonomous workflow

• Collaborate with MongoDB product teams to ensure the modernized applications

integrate seamlessly with customers’ database ecosystem

• Act as a hands-on leader, guiding the team through technical

challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization

toolset

• Fully

ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client

environments

• Established yourself as the technical leader within the team, actively driving engineering strategy and key

technical decisions

• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on

designing/improving the orchestration framework and the workflow components it manages

• Developed a comprehensive grasp of

all AMP pillars and their roadmap

• Influenced AMP

product and engineering leads on key technical decisions, and set clear direction for the team

• Successfully led the team

to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to

smoothly land the planned roadmap

• Owned and delivered some key pieces of AMP orchestration framework and the workflow

components it manages

• Served as a role model and strategic leader for the AMP org
• Contributed to establish

engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

• Become recognized as the strategic engineering leader both

within and outside of the AMP organization

• Helped senior leadership (e.g., Directors/VP) on defining the technical

strategy and roadmap for the future

• Enabled the team to deliver a stable, production-ready platform that supports

autonomous application modernization workflow for our Field Engineering teams

• Drove the adoption of engineering

excellence, making it a core tenet of the team's culture and operations

• Contributed to the development of tech leads

within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving

high-performing engineering team

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 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’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:

$209,000—$290,000 CAD