Bellwether Coffee

Senior Software Engineer

Berkeley, California · Senior

Work authorization required$160k-$200kDetected 6 days ago

TypeScriptGoSwiftKotlinSvelteiOSAndroidDistributed SystemsBigQueryGCPKubernetesTerraformRESTgRPC

About the role

The simplicity our Bellwether customers feel - consistent roasts anyone on staff can run, green coffee sourced and delivered to their door - is technology.
The role requires on-site presence at Bellwether's Berkeley HQ.
That's a lot of surface for one engineering team - and that's the appeal, not a problem to specialize away.

What we care about is whether you measure progress by the problems you own and the autonomy to act on them, rather than by a level or a place in a reporting chain.
Build fleet-management services and APIs in Go, backed by Spanner, exposed over gRPC/protobuf, deployed to GKE with Terraform -managed GCP infrastructure.
It's the most consistent and controllable roaster available, has the lowest carbon footprint of any commercial roaster ever made, and was designed by coffee people who want a better future.
That's the magic we build, and it spans an unusually wide surface: a green-coffee marketplace that handles sourcing and fulfillment, a cloud fleet-management platform, software running on the roaster itself, over-the-air update infrastructure, and the web and mobile apps our customers and team use every day.
We build the connected machines and the platform that make it all possible - real roasters roasting real coffee in cafés, grocers, and roasteries across the world.
Build the green-coffee marketplace that connects customers to sourcing and fulfillment - the commerce and inventory backbone that makes "a complete program from day one" real.

Embedded / IoT, OTA updates, or fleet-management experience
GCP, Kubernetes, or Terraform in production
Experience with hardware-adjacent software, or a personal interest in coffee
We're an AI-native engineering team: agentic tooling is woven into our daily workflow, and we expect engineers to keep getting sharper at using it well.
We pair that with old-fashioned engineering discipline - canonical schemas, real tests, careful rollouts to physical devices.
Small team, high trust, real autonomy, and the shortest path imaginable from a commit to a cup.
Improve the on-device roaster application ( TypeScript backend + frontend + simulator) and the Go firmware control daemon that talks to the hardware.
Ship features across our SvelteKit web, Swift (iOS), and Kotlin (Android) apps spanning customer, maintenance, and operations tiers.

Job Location
Why this Role
One change can travel from a Spanner schema migration to a gRPC API to firmware on a device on a café counter.
Comfortable with distributed systems, APIs, and relational/strongly-consistent databases.

$160,000 - $200,000 per year
We don't run a staff / senior-staff / principal hierarchy - we're a small team of empowered individuals, and we tune the scope and the compensation of each role to the experience a candidate actually brings.

Headquartered in Berkeley, CA, Bellwether Coffee is working to positively transform the coffee industry by making coffee roasting more accessible and sustainable.
Our revolutionary electric, ventless commercial coffee roaster does not require gas lines or expensive ventilation.
Our roasting platform allows Bellwether customers to easily and responsibly source green coffee from incredible coffee farms around the world, expertly roast using artisan-crafted roast profiles, and share fresh, delicious coffee!
About this Role
the machine your code controls is one you can walk up to, and the coffee it makes is something you can taste.
We are an Equal Opportunity Employer.
We do not discriminate on the basis of race, color, religion, gender, sexual orientation, pregnancy, national origin, ancestry, age, marital status, physical or mental disability, genetic information, medical condition, veteran status, or any other class protected by local, state or federal law.

This listing is sourced directly from Bellwether Coffee's careers page and normalized into a canonical job model.