Kubernetes

LangChain

Full-time · Austin, TX · $170,000 – $190,000 · Remote

A customer-facing technical expert who designs and deploys enterprise AI infrastructure and multi-agent systems, combining hands-on development with infrastructure engineering. This role suits experienced engineers comfortable balancing platform architecture work with direct customer engagement on complex, production-grade implementations.

Listed on LangChain’s careers site · Apply there ↗

Cohere

Full-time · Canada, United States · CA$285,000 – CA$340,000 · Remote

This role builds and operates GPU/TPU infrastructure at scale for training frontier AI models, requiring deep expertise in Kubernetes, distributed systems, and close collaboration with AI researchers. It suits engineers with strong systems knowledge who thrive on solving complex infrastructure challenges in fast-paced environments.

Listed on Cohere’s careers site · Apply there ↗

Patreon

Full-time · San Francisco, CA · $257,500 – $386,000 · Remote

Patreon seeks a backend platform leader to define technical strategy and drive architecture decisions across their creator economy infrastructure, mentoring senior engineers while building systems that scale to millions of users. This role suits someone with deep distributed systems expertise who thrives in cross-functional leadership and wants to shape platform modernization at organizational scale.

Listed on Patreon’s careers site · Apply there ↗

Crusoe

Full-time · San Francisco, CA · $250,000 – $300,000

Lead the network and cloud architecture organization at an AI infrastructure company, managing multi-domain teams across edge, backbone, data center, and SDN layers. This role suits experienced infrastructure leaders from hyperscalers or large cloud providers who can set technical strategy, arbitrate complex tradeoffs, and develop senior engineering talent.

Listed on Crusoe’s careers site · Apply there ↗

Anyscale

San Francisco, CA · $200,000 – $240,000 · Remote

Anyscale seeks a Senior Site Reliability Engineer to build and maintain the control and data plane infrastructure powering their Ray-based distributed AI platform. This role is ideal for someone with deep expertise in Kubernetes, cloud-native systems, and distributed computing who wants to tackle large-scale infrastructure challenges.

Listed on Anyscale’s careers site · Apply there ↗

Mapbox

Mapbox US · $157,675 – $213,325 · Remote

This role owns cloud infrastructure and deployment platforms at Mapbox, architecting the AWS-based systems that support hundreds of engineers globally. It suits experienced infrastructure engineers who want to lead cloud-native strategy and drive migrations from legacy to modern containerized approaches.

Listed on Mapbox’s careers site · Apply there ↗

Deepgram

San Francisco, CA · $150,000 – $250,000 · Remote

This role focuses on building scalable training systems and tools that accelerate machine learning research for speech AI, combining infrastructure engineering with research support. It suits engineers who thrive on rapid experimentation, enjoy bridging research and product, and want to work on foundational problems in audio AI.

Listed on Deepgram’s careers site · Apply there ↗

Kong Company

San Francisco, CA · $250,000 – $270,000 · Remote

This founding engineer role shapes Kong's marketplace for autonomous agents, designing systems where AI agents discover, authenticate, and settle transactions with APIs and each other. It suits experienced backend architects comfortable building distributed transaction infrastructure from first principles in a fast-moving, remote-first environment.

Listed on Kong Company’s careers site · Apply there ↗

DXC Technology

Full-time

This role supports customers in designing and implementing SAP Digital Manufacturing solutions with a focus on extensibility through SAP BTP, integrations, and automation technologies. It suits experienced manufacturing consultants who can architect complex solutions, mentor teams, and bridge customer requirements with technical implementation.

Listed on DXC Technology’s careers site · Apply there ↗

DriveTime

Full-time · Remote

This role involves modernizing legacy mainframe applications into cloud-based systems using modern full-stack technologies. It's ideal for engineers who enjoy migrating complex business systems and can work collaboratively across technical and non-technical teams to rebuild accounting and operational workflows.

Listed on DriveTime’s careers site · Apply there ↗