All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
About JumpCloud
JumpCloud® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.
About the Role
We’re looking for a Senior Software Engineer to join JumpCloud’s Data Engineering team.
Data Engineering's Vision & Mission:
Vision: Data to drive JumpCloud and our Customers.
Mission: To put in place foundational technology and process to up-level the data capabilities of our Product and our Data Warehouse/Lakehouse.
We are introducing an Event Based Architecture, developing and refining a data model that supports JumpCloud’s growth strategy and modernizing our Data Warehouse. A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling data engineering problems that most other people cannot solve, as well as shaping the future capabilities of JumpCloud’s data engineering, performance reporting and data governance.
Come be a part of an exciting new team where you will be able to work on challenging projects, rich data sets, and develop valuable skills. This role involves taking full ownership of our core mongoDB and the supporting services. It will require managing, monitoring and optimizing mongoDB clusters.
Responsibilities:
Design, implement, and maintain scalable and reliable data pipelines for ingesting, transforming, and loading data into and out of MongoDB.Manage, monitor, and optimize MongoDB clusters for performance, availability, and security, including sharding, replication, and backup/recovery strategies.Develop and deploy RESTful APIs and microservices that interact with MongoDB, enabling data access and manipulation for various applications.Collaborate closely with software engineers, data scientists, and product managers to understand data requirements and translate them into technical solutions.Implement data governance, data quality, and data security best practices for MongoDB environments.Troubleshoot and resolve database-related issues promptly and efficiently.Participate in code reviews and contribute to architectural discussions to ensure high-quality and scalable solutions.Stay up-to-date with the latest trends and technologies in the NoSQL database space, particularly with MongoDB.
We’re looking for:
8-12 years of experience as a Software/Data Engineer, Database Administrator, or similar role with a strong focus on MongoDB.Proficient in designing, implementing, and managing MongoDB sharded clusters and replica sets.5-8 years of experience in at least one of the following languages: Node.js (preferred), Go, Python, or Java.1-3 years of experience of technical leadership (leading, coaching, and/or mentoring junior team members).Experience developing and deploying microservices or APIs that interact with databases.Solid understanding of database concepts (indexing, query optimization, data modeling, ACID properties for relational vs. BASE for NoSQL).Familiarity with cloud platforms (AWS, Azure, GCP).Experience with version control systems (e.g., Git).Excellent problem-solving, analytical, and communication skills.Willingness to learn and embrace new technologies, languages, and frameworks (we will test your skills with a take home exercise)Comfortable with Linux or OSX as a desktop development environment.Strong team player that wants to win together.Strong communication skills.
Bonus points if you have:
Experience with technologies like: kafka, ksql, kafka connect, postgresql, ELKExperience building data pipelines and lakes in AWSData operations experience using tools such as Terraform, CloudFormation and/or Salt
