The opportunity
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers.
What you'll do
Design, build, and operate services, APIs, control planes, and platform: capabilities that power Lambda’s AI cloud.
Solve distributed-systems problems involving state, consistency, concurrency,: scheduling, failure recovery, and safe lifecycle management.
Own the full engineering lifecycle: problem framing, architecture, implementation, testing, rollout, observability, on-call, and continuous improvement.
Improve system availability, latency, throughput, efficiency, security, and: operability as Lambda grows by orders of magnitude.
Turn incidents and near misses into durable engineering improvements,: including better automation, testing, guardrails, and backstops.
Work across product, infrastructure, networking, storage, security, and SRE: teams to resolve dependencies and deliver the right outcome for customers.
What they're looking for
- Use AI-assisted development tools with judgment: accelerate exploration and implementation while independently verifying correctness, security, and maintainability.
- Contribute to technical standards, design and code reviews, and mentorship;: at Staff level, lead cross-team architecture and raise the technical ceiling of the organization.
- or more years of professional software engineering experience, or equivalent: evidence of impact building production systems.
- Depth in at least one general-purpose language, we work primarily in Go and: Python, and candidates interview in the language they know best. We look for someone who can reason about concurrency, error handling, and testing in that language, not someone who has used it.
