Roblox's Cache team is building a next-generation caching solution designed to deliver sub-millisecond average latency, horizontal scalability, and high efficiency-all at a drastically lower cost. Our ultimate vision is to shape a caching infrastructure capable of supporting 1 billion Daily Active Users while reducing costs by 90%. We are turning hours of onboarding and capacity expansion into seconds, freeing service owners entirely from managing cluster lifecycles.
As a Software Engineer on the Cache team (part of the Infra Storage org), you will innovate and operate large-scale, in-house distributed systems to solve Roblox's ever-growing caching challenges. You will report directly to the Engineering Manager for the Cache team.
(Check out our recent engineering blog post here to learn more about the team's latest work!)
You will:- Partner with Security, Product, and Engineering teams to collect requirements, drive and influence the strategy to define the data security for all of Roblox storage systems, including OLTP databases, Object store, Queue, Search etc.
- Have a leading role in designing, implementing and running our storage Infra-as-a-Service offerings, particularly hardening the data security and availability aspects.
- Improve & scale our large distributed 24x7 services and deliver features with urgency, cost efficiency, zero down time and high reliability
- Design and build frameworks or tools to automate development, testing deployment, management and monitoring of mission critical services
- Collaborate with partner teams, producing project work plans, measurable metrics, delivery milestones, rollout plan, on-call alerts and runbooks while leveraging existing technology stack
- Give a high level of attention to create high quality & reusable code, keep development continuously without compromising site reliability
- Improve SLA of the offering services and end-end rollout time of our suite of software solutions
You have:- Strong interest designing & delivering large-scale distributed systems handling millions of real-time requests per second.
- Data management knowledge in one or more following technologies: RDBMS (CockroachDB, SQL Server, PostGres, MySQL, RDB) Caching(Redis), Kafka , KV store(DynamoDB, Cassandra), OLAP(ClickHouse), Object Storage (Ceph) is a plus
- Experience building deployment pipelines on top of container orchestrators like Kubernetes or Nomad and service discovery systems like Consul
- Experience with programming languages like Go, Rust, Java or C++
- Scripting and test automation abilities
- Experience with telemetry stacks, like Grafana, Prometheus monitoring, AlertManager and Kibana
- BS degree (or equivalent professional experience) in Computer Science, 1-3 years of hands on experience
Please note the Company may not be able to employ candidates who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.
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.
Annual Salary Range
$153,120-$196,750 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
