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.
MongoDB is building a world-class team in India to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.
We are looking for an experienced Lead Software Engineer with a strong background in data streaming products, the Java ecosystem and team leadership. You will lead a talented team building a complex product suite using a modern stack: Java, Spring Boot, Apache Kafka, Debezium, and React. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging data problems.
This role will be based in our North America and offers a hybrid working model.
The ideal candidate for this role will have- 6+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
- 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
- Extensive product experience in the data streaming or data tooling space, especially with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
- Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
- Exposure to client-side technologies such as JavaScript and React is a plus
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
- Drive the architectural vision and long-term technical roadmap for the Data Migration product suite, ensuring it is scalable, reliable, and performant
- Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
- Lead the design and implementation of complex, mission-critical components of our data streaming and migration platform
- Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
- Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary
Within the first three months, you will have:
- Fully ramped up on our architecture, business domain, and team processes
- Established yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
- Begun mentoring team members and building strong collaborative relationships with your product counterparts
Within six months, you will have:
- Successfully led the team to deliver a major feature or product release
- Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
- Established a clear rhythm of execution and a high-performing culture within your team
Within 12 months, you will have:
- Become recognized as the go-to technical expert for the data migration domain at MongoDB
- Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
- Played a crucial role in recruiting, hiring, and growing the engineering team
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 is an equal opportunities employer.
Req ID: 3263226538
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.
