Geared toward technical leaders with JVM and Python experience comfortable with driving architectural decisions and mentoring teams.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from MongoDB
The database market is massive (IDC estimates it to be $121B+ by 2026!) and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.
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 initial data loads, and continuous data synchronization.
We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
The ideal candidate for this role will have
8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
Exposure to client-side technologies such as JavaScript and React is a plus
Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
Curiosity, a positive attitude, and a drive to continue learning
Excellent verbal and written communication skills
Position Expectations
Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning
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
Within six months, you will have:
Worked on and delivered a large-scale code analysis feature in the product
Contributed to and helped deliver a few releases of the product
Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
Delivered large-scale features across our entire tech stack
Helped recruit, interview and mentor new members of the team
Collaborated with other teams at MongoDB
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 is an equal opportunities employer.
Requisition ID 4263333169
Source: MongoDB careers