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MongoDB

Software Engineer 3, Data Migration

Reposted 12 Days Ago
Easy Apply
Hybrid
2 Locations
Mid level
Easy Apply
Hybrid
2 Locations
Mid level
This role involves modernizing legacy code by utilizing AI and text processing tools, collaborating with stakeholders, and maintaining high code quality.
The summary above was generated by AI

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 expanding a development team in Sydney working on tooling that helps customers migrate data from relational databases to MongoDB. Tools developed by the Data Migration team help application developers with schema modeling, type conversions, data sync, change data capture and so on.

MongoDB is looking for a software engineer with experience in the Java ecosystem and streaming systems to join the team. Our main technology stack includes Java, Spring Boot, Apache Kafka, and React. A successful candidate will collaborate closely with product management and engineers on the team to help drive the design and implementation of a cutting edge product.

This role will be based in our India office in Gurugram and offers a hybrid working model. 

The ideal candidate for this role will have
  • 2-3 years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
  • Experience with relational data modeling and at least one SQL database (Postgres, MySQL, etc)
  • Basic familiarity with streaming systems such as Apache Kafka, AWS SQS, etc
  • Basic familiarity with client-side technologies such as React
  • 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
Position Expectations
  • Collaborate with product management, product designers and other engineers
  • Contribute high quality and well-tested backend code to the data migration engine its surrounding services
  • Participate in code reviews and team technical discussions
  • Give and solicit feedback on technical design documents and pull requests
  • Perform tasks related to process such as CI/CD, quality, testing, etc 
Success Measures

Within the first three months, you will have:

  • Familiarised yourself with the MongoDB database and aggregation language
  • Familiarised yourself with the backend tech stack including Java, Spring Boot, and Kafka
  • 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:

  • Familiarised yourself with the rest of our codebase including the frontend stack, Confluent plugins, GitHub workflows, etc
  • Worked on and delivered a medium scale 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:

  • Familiarised yourself with the work of other teams within the department
  • Delivered at least one large scale feature that spans the entire tech stack
  • Helped recruit and interview new members of the 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: 425547

Top Skills

Abstract Syntax Trees
AI
Antlr
Cloud Architecture
Java
Lexical Analysis
Llms
Syntax Analysis

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