Software Engineering Team Lead
MetalBear·Remote · London
Sep 26, 2026
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Rust jobs in United States
Open roles. Featured listings appear first; each card shows whether it is featured.
MetalBear·Remote · London
Sep 26, 2026
Restate·Remote · San Francisco Bay Area · $220k–$260k USD
Sep 26, 2026
Anthropic·Hybrid · San Francisco, CA / New York City, NY · $320k–$405k USD
Sep 20, 2026
Ondo Finance·Remote · Remote (US)
Sep 19, 2026
Partisia Blockchain Applications·Remote · Worldwide
Sep 19, 2026
Helius·Remote · United States
Sep 19, 2026
Ditto·Remote · Atlanta, Washington DC, San Francisco · $185k–$227k USD
Sep 18, 2026
MoonPay·Hybrid · Berlin / New York / London · $180k–$300k USD
Sep 18, 2026
Nodveta·Remote · Worldwide · $120k–$160k USD
Sep 18, 2026
Defense Unicorns·Remote · United States · $149k–$201k USD
Sep 17, 2026
Cube Group, Inc.·On-site · Chicago, IL
Sep 17, 2026
Palantir Technologies·Hybrid · Washington, D.C.
Sep 17, 2026
NinjaTrader·Remote · Hybrid · Chicago, IL · $140k–$190k USD
Sep 17, 2026
Zscaler·Hybrid · United States · $152k–$190k USD
Sep 17, 2026
Anza·Remote · United States, United Kingdom, Switzerland · $180k–$300k USD
Sep 17, 2026
MetalBear·Mid-level·Remote · Worldwide
Posted Oct 1, 2026
MetalBear is remote-first, early-stage, and product-led. We're building mirrord, a Kubernetes development platform that lets developers and AI coding agents run code against a live cluster before it's deployed.
The problem we solve is the wait. In any organization running microservices, checking whether a change actually works means building an image, pushing it, deploying to a shared environment, and waiting on a pipeline to tell you. That loop runs many times a day per engineer, and it's the single biggest tax on how fast an organization ships. With mirrord, the service runs wherever the work is already happening: on a laptop, in CI, or inside an agent's sandbox. Its traffic, environment variables, and file access are forwarded to and from a shared staging cluster, so the service behaves exactly as it would if it were deployed, without deploying it. Feedback arrives in seconds instead of minutes, against real APIs, real schemas, and real traffic rather than mocks or a hand-maintained local stack.
That matters more every month, because AI agents now write a large share of the code our customers ship. An agent generating code from static files is guessing at how the rest of the system behaves, and a human has to catch the guesses. mirrord gives the agent the real context to write against and a real feedback loop to verify against, so what lands in review is something a reviewer can trust.
mirrord is used by thousands of developers worldwide, including at Fortune 500 companies.
The Cloud Integrations team owns features that involve automatically managing users’ cloud services (like message brokers, databases, Kubernetes resources and more) to create virtually separate environments with only minimal resource duplication. These are key features that make mirrord uniquely valuable in complex enterprise environments.
MetalBear·Mid-level·Remote · Worldwide
Posted Oct 1, 2026
MetalBear is remote-first, early-stage, and product-led. We're building mirrord, a Kubernetes development platform that lets developers and AI coding agents run code against a live cluster before it's deployed.
The problem we solve is the wait. In any organization running microservices, checking whether a change actually works means building an image, pushing it, deploying to a shared environment, and waiting on a pipeline to tell you. That loop runs many times a day per engineer, and it's the single biggest tax on how fast an organization ships. With mirrord, the service runs wherever the work is already happening: on a laptop, in CI, or inside an agent's sandbox. Its traffic, environment variables, and file access are forwarded to and from a shared staging cluster, so the service behaves exactly as it would if it were deployed, without deploying it. Feedback arrives in seconds instead of minutes, against real APIs, real schemas, and real traffic rather than mocks or a hand-maintained local stack.
That matters more every month, because AI agents now write a large share of the code our customers ship. An agent generating code from static files is guessing at how the rest of the system behaves, and a human has to catch the guesses. mirrord gives the agent the real context to write against and a real feedback loop to verify against, so what lands in review is something a reviewer can trust.
mirrord is used by thousands of developers worldwide, including at Fortune 500 companies.
The Cloud Integrations team owns features that involve automatically managing users’ cloud services (like message brokers, databases, Kubernetes resources and more) to create virtually separate environments with only minimal resource duplication. These are key features that make mirrord uniquely valuable in complex enterprise environments.