Join Anthropic as a Staff+ Software Engineer to shape the technical strategy for our storage systems in a collaborative environment.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
Must have
Practical constraints
Requirements
Not disclosed in this posting: years of experience.
Benefits
Joblaze summary
In this role, the Staff+ Software Engineer will focus on designing and optimizing Anthropic's large-scale storage infrastructure to support various AI workflows. Key skills include expertise in distributed storage systems, strong software engineering fundamentals, and the ability to make critical architectural decisions. This position is ideal for experienced engineers who have led complex infrastructure projects and possess a deep understanding of storage system fundamentals. The collaborative team environment emphasizes high trust and rapid development, aligning with Anthropic's mission to create reliable AI systems.
Joblaze insights
Quick facts
From the original posting
Storage plays an essential role at Anthropic across research, development, product, and running the business. Our exabyte-scale, multi-cloud storage infrastructure underpins training, CI, sandboxing, inference, warehousing, and long-term data retention. Our storage needs are growing rapidly with Claude. To keep up, we're looking for engineers who have designed, secured, operated, scaled, governed, and optimized blob storage platforms at hyper-scale.
You'll join a welcoming, collaborative, high-trust, high-velocity team that is devoted to our users and Anthropic's mission. You'll bring deep experience, essential technical guidance, user-centric product sense, and hands-on significant contributions to help us evolve Anthropic's storage capabilities while absorbing increasing volume and complexity. You'll own high-stakes architectural decisions and deliverables to make stored data securely and speedily accessible across varying infrastructures and regions. You'll collaborate closely with other orgs to drive world-class security, usability, reliability, and capacity/cost efficiency: both for the data we store, and the ways we make it accessible to power a wide range of workflows.
You'll partner with research, training, infrastructure, business, and data teams to understand our storage needs and opportunities, today and in the future. You'll drive strategic investments that uplevel Anthropic's ability to ship safe, useful AI at speed.
Shape the technical strategy and architecture for Anthropic's storage layers
Build strong relationships with our users and partner teams, and deep understanding of their access patterns and unique security, usability, and business requirements: everything from large-scale ML and training workloads, to financial data processing with strong controls
Partner closely with CSPs, networking, and datacenter teams on infrastructure primitives
Translate user needs into scalable, achievable system designs and drive alignment
Make principled tradeoffs across durability, availability, consistency, performance, security, and cost, and document the reasoning so other engineers and teams can build on it
Break large problems into deliverable milestones, and lead cross-functional teams to ship new capabilities safely at unprecedented speed
Work across backend stacks, abstraction layers, and clients to provide users with simple, consistent interfaces no matter where data lives
Plan and lead large migrations of critical workloads with user minimal disruption
Participate in and improve operations, including SLOs, observability, capacity planning, incident response, and on-call
Stay hands-on in code and production, including in the most critical and complex areas
Experience designing, building, and operating a large-scale distributed storage system in production, such as an object store, distributed file system, or block storage service.
Deep understanding of storage system fundamentals, including: Replication and erasure coding, consistency models, metadata management, durability, failure handling, high availability, access controls, identity models, security approaches, abstraction layers, network requirements, multi-region considerations
Experience serving as an owner, tech lead, or architect for a large, complex infrastructure system that orgs and customers depend on
Strong software engineering fundamentals and hands-on coding ability in at least one systems language, such as C++, Rust, Go, or Java
Experience operating and steering critical infrastructure at scale, including security, on-call, incident response, capacity planning, customer support, and cost efficiency
Strong written and verbal communication skills, with experience driving alignment on technical direction and user-facing across multiple orgs and stakeholders
The annual compensation range for this role is listed below.
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