The worldwide data management software market is massive (IDC forecasts it to be $137.6 billion by 2026!). 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 growing rapidly and seeking a Software Engineer for the Data Platform team to be a key contributor to the overall internal data platform at MongoDB. The Data Platform team focuses on building reliable, flexible, and high quality data infrastructure such as a streaming platform, ML platform, and experimentation platform to enable all of MongoDB to utilize the power of data.

As a Software Engineer, you will design and build a scalable data platform to help drive MongoDB’s growth as a product and as a company, while also lending your technical expertise to other engineers as a mentor and trainer. You will tackle complex platform problems with the goal of making our platform more scalable, reliable, and robust.

This role can be based out of our New York City office or remotely in the US.

Our Ideal Candidate Has Expertise in:

several programming languages (Python, Scala, Go, etc.)
building scalable data intensive microservices
Good understanding of services, distributed systems, scalability, availability, performance and observability
orchestration tools like Airflow, Luiji, Azkaban, Cask, etc.
streaming data processing frameworks like Kafka, Spark Structured Streaming, or Flink
a diverse set of SQL and NoSQL databases like MongoDB, Cassandra, Redshift, Postgres, etc.
different storage formats like Parquet, ORC, Avro, Arrow, and JSON
AWS services such as EMR, Lambda, S3, Athena, Glue, IAM, RDS, etc.
Git and Github
CI/CD Pipelines

Also

Constantly think of ways to squeeze better performance out of a data platform
Communicate with other teams to discover requirements for designing and building a solution that will scale to their needs
Plan effective data storage, security, sharing, and publishing within the organization
Design boilerplate architecture that can abstract underlying technology from end users
Design, manage, and test disaster recovery procedures for a variety of data platforms
Value code simplicity and performance
Obsess over data: everything needs to be accounted for and be thoroughly tested

Bonus Points

You are deeply familiar with Spark and/or Hive
You are familiar with deployment and configuration tools such as Kubernetes, Drone, and Terraform
You have expert experience building microservices
You’ve built an end-to-end production-grade data platform that runs on cloud infrastructure
You have expertise building a machine learning platform using tools like SparkML, Pytorch, Tensorflow, Scikit-Learn, etc.
You have experience building a web frontend using frameworks like React

As a Software Engineer, Data Platform, you will:

Estimate task complexity, report progress, and voice risks to peers and managers
Both learn from and teach peers and junior engineers
Develop and maintain expertise in the best big data practices
Build a large-scale batch and real-time data platform that will make engineering pipelines seamless and scalable
Help drive the best methods in continuous integration and delivery
Help drive optimization, testing, and tooling to improve data platform quality
Collaborate with other software engineers, machine learning masters, and stakeholders, taking learning and leadership opportunities that will arise every single day

Success Measures:

In three months you will have familiarized yourself with much of our data platform, be making regular contributions to our codebase, will be collaborating regularly with stakeholders to widen your knowledge, and helping to resolve incidents and respond to user requests
In six months you will have successfully investigated, scoped, executed, and documented a small to medium sized project and worked with stakeholders to make sure their data needs are satisfied by implementing improvements to our platform
In a year you will have become the key person for several projects within the team and will have contributed to the data platform’s roadmap. You will have made several sizable contributions to the project and are regularly looking to improve the overall stability and scalability of the architecture

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.