Software Engineer 3, Data Platforms
3 weeks ago
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 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.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Who you are
You have worked on production-grade building applications and are capable of making backend improvements in languages such as Python and Go You have experience building tools and platforms for business users and software developers You have experience with or working knowledge of cloud platforms and services You enjoy working on full stack applications including UI/UX, API Design, databases and more You’re looking for a high impact and growth role with variety of opportunities to drive adoption of data via services and tooling You’re passionate about developing reliable and high quality software You’re curious, collaborative and intellectually honest You’re a great team playerWhat you will do
Design and build UI, API and other data platforms services for data users including but not limited to analysts, data scientists and software engineers Work closely with product design teams to make improvements to the internal data platform services with an emphasis on UI/UX Perform code reviews with peers and make recommendations on how to improve our code and software development processes Design boilerplate architecture that can abstract underlying data infrastructure from end users Further improve the team’s testing and development processes Document and educate the larger team on best practices Help drive optimization, testing, and tooling to improve data platform quality Collaborate with other software engineers, machine learning experts, and stakeholders, taking learning and leadership opportunities that will arise every single dayBonus Points
You have experience with modern Javascript environment including frontend frameworks such as React and Typescript You are familiar with data infrastructure and toolings such as Presto, Hive, Spark and BigQuery You are familiar with deployment and configuration tools such as Kubernetes, Drone, and Terraform You are interested in web design and have experience directly working with product designers You have experience designing and building microservices You have experience building a machine learning platform using tools like SparkML, Tensorflow, Seldon Core, etc.Success Measures
In three months you will have familiarized yourself with much of our data platform services, 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 user experiences are vastly enhanced by implementing improvements to our platform services. In a year you will have become the key person for several projects within the team and will have contributed to not only the data platform’s roadmap but MongoDB’s data-driven journey. You will have made several sizable contributions to the project and are regularly looking to improve the overall stability and scalability of the architecture.-
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