What are the responsibilities and job description for the Software Engineer, Observability (Backend) position at Anyscale?
Software Engineer, Observability (Backend)
San Francisco or Palo Alto, CAEngineering – Experience / Full-time / Hybrid About Anyscale : At , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like , , , , , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by with $250 million raised to date. About the role We are seeking a Backend Software Engineer to join our team focused on building user-facing application features for the Anyscale AI platform. The role involves interacting with users, understanding their requirements, designing and implementing features, and finally maintaining and improving these features over time. The backend of the platform generally deals with implementing the core business logic of these features. About the team The Workspace & Observability Team is dedicated to empowering clients to create robust AI applications using our powerful platform built on Ray. We are a collaborative group of experts committed to providing bespoke monitoring tools and integrations that enhance the development lifecycle. In particular, these tools accelerate the process of writing, debugging, deployment, and monitoring of AI applications. Observability in a distributed cluster can deal with a ton of data. There are a ton of interesting problems to solve around how to ingest, aggregate, format, and ultimately present that data to our users in a digestible way. With Ray and Anyscale, we have the opportunity to provide great tools out of the box for our users. Join us in shaping the future of AI application development!
A snapshot of projects you may work on
- The Ray Dashboard observability tool which gives users insight into their Ray application including what code is running in which machine, how much data is being moved between various machines, and the hardware utilization of each machine.
- Library-specific observability tools like the Ray Train dashboard or Ray Serve dashboard which accelerates our users ability to develop distributed training or model serving applications.
- Unified log viewer, a tool that ingests logs across a ray cluster and presents the ability to query those logs in meaningful ways, such as by function name, log level, timestamp, or machine.
- Anomaly detection. The ability for the Anyscale platform to automatically detect performance bottlenecks or bugs in our users workloads and suggest or automatically fix these issues.
- Work with a team of leading distributed systems and machine learning experts.
- Communicate your work to a broader audience through talks, tutorials, and blog posts.
- Help us to build and shape a world class company.
We'd love to hear from you if have
Compensation
This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following :
Salary : $202,000 - $237,000
