Senior Software Engineer - Data Infrastructure
Job Summary
Job Description
- 4+ years building/scaling distributed systems
- Experience with Kubernetes and tools on Kubernetes
- Experience with Java, Go, or Python
- Drive to learn and tackle challenges
- Experience with Spark/Spark clusters
5 skills required
Job Details
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Work with the most passionate and team-oriented people you'll ever meet. As a Senior Engineer on our Analytics team within our Growth Group, you will be a key participant in helping our Data Infra team shape the future of Roblox and bring our infrastructure on prem. You will report into the Engineering Director of our Analytics team. If you want to learn what it takes to develop large-scale infrastructure to analyze user behavior from 200 million monthly users, you'll fit right into our accomplished and ever-expanding engineering team.
You Will:
- Help implement our vision for analytics for both compute and storage at exabyte scale.
- Ensure that our platform and data usage is compliant with all regulations and privacy concerns.
- Develop systems and tools to allow data processing both on cloud and in Roblox Data Centers.
- Help contribute to a productive open source community for systems we develop.
- Help with design, implementation, testing, and support of next-generation features related to scalability, reliability, robustness, usability, security, and performance of Roblox data processing systems.
- Work with Spark and Kubernetes - the engines upon which we are building our next-generation data platform as we scale Roblox.
- Be a part of a collaborative team: The Data Infrastructure Team and the Analytics Team are combined at Roblox to ensure that data processing and analytics are guided by the user needs -- ie. query patterns and product requirements.
You Have:
- 4+ years of experience building and scaling reliable distributed systems.
- Drive to learn new things, work on tough challenges, and get things done.
- Hands-on experience working in Kubernetes and building tools on Kubernetes. It's a plus if you have worked on spark / spark clusters.
- Experience working in Java, Go, or Python.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. Roblox also provides reasonable accommodations for all candidates during the interview process.
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