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 anywhere-on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

MongoDB is seeking a Lead Software Engineer with advanced software engineering skills and experience in code modernization & building tools that can traverse code structures programmatically. Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support.

We are seeking candidates located in North America for in-office, remote, or hybrid work options.

Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating costs, and inability to run on the cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernization programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency, and developer experience in the cloud and on-premises. Organizations continuously migrate workloads from these legacy applications to new platforms, often based on microservices, using MongoDB.

Such transformations are very time-intensive and often risky. MongoDB is bolstering its team by creating tools that guide customers in transitioning their applications from relational databases to MongoDB. As businesses evolve their application development frameworks, they're increasingly drawn to the versatility of the document model. The Application Modernization team, already instrumental in this area, aids developers in making the shift from relational databases to MongoDB via Relational Migrator. Now, they're broadening their toolkit and are keen on modernizing code using a mix of AI and traditional text processing.
Our ideal candidate will have

• 7+ years in building large scale enterprise applications preferably in Java.
• Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL.
• Experience with tools and methodologies for code analysis, refactoring, and automated testing
• Any experience leading a large scale application migration project is a plus.
• A good understanding of Generative AI concepts, tools, and services is a big plus, as is any experience building new applications/tools using Generative AI.
• A strong interest in how AI-supported toolchains can improve application development.
• Capable of juggling coding and management tasks
• Experience across the Python stack and enthusiasm to learn new technologies and skills
• Be a mentor, a communicator, a coder, a partner, a team builder
• A passion for mentoring and teaching
• Have experience working with remote teams and agile development processes that successfully delivered multiple products
• Excellent communication skills (both spoken and written), within the team and in customer meetings.

Position Expectations

• Manage a team of software engineers, responsible for ensuring their success, aiding their career growth, and facilitating their technical work
• Makes coding contributions to the team's projects
• Proficient in Java & Python programming language
• Provides feedback on the architecture of the system and the design of new features
• Ensures that the team is running smoothly by helping to eliminate technical barriers, coordinating with other teams regarding dependencies, and focusing on the overall happiness of the team
• Contributes to planning for organizational growth, including allocation of engineering resources, future hiring plans, and assignment of projects
• Sets team culture by example
• Estimates the delivery timeline for projects, and communicates well with upper management regarding project execution

Success Measures

Within the first three months, you will have:

• Familiarise yourself with the MongoDB database and aggregation language.
• Familiarise yourself with the problem space and the domain.
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks.
• Started collaborating with your peers and contributed to code reviews.
• Forged a successful partnership with your manager and peers

Within six months, you will have:

• Provide design and architectural guidance in extending current software and developing new software.
• Identify what mentorship each individual needs to enable them to meet their goals
• Deliver features on predictable time frames

Within 12 months, you will have:

• You will contribute to the vision and growth of our team
• You will will be involved in our recruitment of new team members
• Your team is developing and strengthening their skills with your help
• You will be trusted to execute complex projects
• Deliver at least one release of our products

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.

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:

$137,000-$270,000 USD