Lead Software Engineer, MongoDB
Code Generation
$137-270k
+ equity, participation in the employee stock purchase program, subject to eligibility
Developer data platform
Open for applications
Developer data platform
1001+ employees
Open for applications
$137-270k
+ equity, participation in the employee stock purchase program, subject to eligibility
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- 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
- 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
What the job involves
- Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support
- 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
- 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
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- Rich health insurance coverage
- Virtual & on-site fitness classes
- Health screenings & telemedicine
- Access to transgender-inclusive health insurance coverage
- Global and internal mobility opportunities
- Equity & Employee Stock Purchase Program
- Pension & retirement programs
- Income Protection
- Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
- Employee Assistance Program
- Mental health counseling
- Free meditation app access
- Fertility & adoption financial assistance
- Parental counseling for new parents
- 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
- 4 weeks of emergency care leave
Company values
- Think Big, Go Far
- Build Together
- Embrace the Power of Differences
- Be Intellectually Honest
- Own What You Do
- Make it Matter
Company HQ
Theater District, New York, NY
Articles
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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