Senior Software Engineer, RQL
Required skills
- Python
- MongoDB
- CDC
- Kafka
- Aurora
- Trino
- Presto
- Pinot
- Iceberg
- Flink
Nice to have
- customizable workflows
- data platform
- reporting
- custom fields
- custom programming languages
- state-of-the-art development
Role summary
The Platform team at Rippling is seeking a Senior Software Engineer to develop core services and cross-cutting products, including analytics, customizable workflows, data platforms, and custom fields. This role involves working on a new language called Rippling Query Language (RQL), distributed systems, big data technologies, and data ingestion systems. The engineer will design, develop, code, and test software systems, contributing to product design and implementation from idea to production. The position requires 5+ years of backend engineering experience, proficiency in Python, MongoDB, Kafka, and experience with distributed systems and big data technologies. Mentoring less-experienced developers is also expected.
About the role
The Platform team is responsible for developing core services and cross-cutting products that form the building blocks at Rippling. Other engineering teams at Rippling leverage these fundamental Lego blocks to create complex products on top of them.
The team owns the analytics, customizable workflows, data platform, reporting, permissions, and custom fields products. All these projects have customer-facing product components and core platform components supporting 10+ product teams. This is a unique opportunity to work on both product and platform layers at the same time.
At Rippling, we want users to configure and customize our features/products without complexity. Therefore, we’ve created a new language called Rippling Query Language (RQL) which allows our customers to write Queries and scripts to create Formula Fields inside of our analytics suite, applications in Data Cloud and extend functionality elsewhere across Rippling.
RQL internally has its own grammar, parser, query translator, distributed query processing engine, and a distributed datastore. You will work on challenging technical challenges like distributed systems and big data technologies.
What you will do
- Work on distributed processing engines and distributed databases
- Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka
- Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more.
- Build custom programming languages within the Rippling Platform
- Create data platforms, data lakes, and data ingestion systems that work at scale
- Design, develop, code, and test software systems, improvements, products, and user-facing experiences
- Work alongside software architects and senior developers doing state-of-the-art development work
- Contribute to product design and implementation discussions
- Find and build unique solutions to implement projects from the idea phase to production
What you will need
- 5+ years experience in backend engineering roles
- Experience writing testable and performant backend code
- Experience working in a fast-paced, dynamic environment
- Experience mentoring less-experienced developers
- Ability to thrive in an environment that grants you a lot of autonomy to explore creative solutions
Additional Information
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
Sample Rippling interview questions
- 1
Design a Reservation System for Airbnb
system designhard - 2
Merge a New Interval Merge a new interval into a list of non-overlapping intervals. Input: intervals = [[1,2],[3,5],[6,7],[8,10],[12,16]], newInterval = [4,8] Output: [[1,2],[3,10],[12,16]] Explanation: The new interval overlaps with [3,5], [6,7], and [8,10], merging them all into the unified block [3,10].
codingmedium - 3
Valid Word Abbreviation Determine if a string matches a valid word abbreviation. Input: word = "apple", abbr = "a2e" Output: FALSE Explanation: The abbreviation claims exactly 2 characters are skipped between 'a' and 'e', but "ppl" is actually 3 characters long.
codingmedium - 4
Clone an Undirected Graph Clone an undirected graph. Input: adjList = [[]] Output: [[]] Explanation: Creates a new, deeply cloned graph containing only one single node with zero connected neighbors.
codingmedium - 5
Split Array into Consecutive Subsequences Split an array into consecutive subsequences. Input: nums = [1,2,3,4,4,5] Output: FALSE Explanation: The numbers can form [1,2,3,4], but the remaining leftover group [4,5] is too short to form a valid sequence of length 3.
codingmedium
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