Full Stack Engineer, Cloud Platform

Also, Inc.
Palo Alto, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$175,000.0 - $205,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services User Authentication Automation of Tests Continuous Integration Data Visualization Database Schema Fault Tolerance Message Queuing Telemetry Transport (MQTT) Node.Js OAuth Open Source Technology
+30 more
OpenID Redis Data Streaming TypeScript Management of Software Versions Web Applications WebSocket WebRTC Datadog Data Logging Real Time Systems Data Ingestion ReactJS Delivery Pipeline Caching Backend Event Driven Architecture Build Management Kubernetes Performance Monitor Apache Kafka Figma Graphql Front End Software Development Api Design Api Gateway Amazon Simple Queue Service (SQS) Terraform Docker Microservices

Job description

  • Design and build backend microservices for secure, scalable connected-vehicle and fleet infrastructure - from data ingestion through product-facing APIs - owning each feature end to end: data model, service, API contract, interface, instrumentation, and post-launch operation
  • Build the platform’s user surfaces: the customer-facing web app, developer and partner portals, admin and configuration consoles, and internal fleet and operations tooling
  • Improve core platform infrastructure - API design, database schema, service interactions, event handling, observability, and deployment workflows - and contribute to shared services like the API gateway, caching, authentication, and schema migrations
  • Build integrations with external services and partner platforms, designing contracts that stay maintainable over time
  • Establish frontend foundations - component patterns, shared UI primitives, and data-fetching conventions - so the team builds new internal tools quickly instead of starting over each time
  • Turn high-volume telemetry and fleet state into interfaces that are fast, dense, and genuinely usable under real operational pressure
  • Ensure production readiness through automated testing, performance monitoring, and safe deployment practices

Requirements

  • 7+ years building and operating production backend services you designed, not just maintained - strong service-boundary judgment and API design depth (REST/GraphQL/gRPC), including real versioning and backward compatibility work
  • Data modeling and schema design across relational and non-relational stores, including live migrations, plus solid AWS experience with real operational exposure across compute, storage, data, and identity
  • Event-driven architecture in production (Kafka, SQS/SNS, Redis, or similar), containers and orchestration (Docker in production, Kubernetes or equivalent), and OAuth2/OIDC/JWT/mTLS in practice
  • Real production ownership - on call for what you built, debugged under pressure, fixed root causes - with solid performance and reliability instincts (profiling, concurrency, graceful degradation)
  • Expert TypeScript/Node.js and a modern component framework (React preferred), with real depth on data-dense interfaces - tables, dashboards, filtering, real-time state - and the performance problems that come with them
  • Design system fluency: you extend a component library cleanly rather than fighting it, and treat responsiveness, accessibility, and performance as defaults, even on internal tools nobody’s watching
  • Comfortable taking a rough Figma file or written brief and driving it to a shipped interface, asking good questions along the way
  • Testing discipline wired into CI, with judgment on what’s actually worth testing, and demonstrated success in a 0 to 1, highly autonomous setting
  • Nice to have - Go experience, or proven ability to get productive in a new language fast - parts of our platform are written in Go
  • Nice to have - Real-time systems (WebSockets, WebRTC, streaming state) and multi-tenant architecture
  • Nice to have - IoT protocols (MQTT/CoAP), device lifecycle management, and telemetry pipelines
  • Nice to have - Infrastructure as code (Terraform), CI/CD ownership, and observability tooling (tracing, logging, alerting)
  • Nice to have - Data visualization at scale, open source contributions, or prior EV/automotive/connected-device experience

Benefits & conditions

The salary for this position ranges from $175,000 - $205,000 per year, depending on experience, qualifications, and location.

Perks & Benefits

  • Robust health coverage - excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options
  • One Medical membership and dedicated insurance advocates
  • Rich fertility and family building benefits with Progyny
  • Flexible time off
  • 401(k) match

Why ALSO.

We’re passionate about helping the world find a better way to get there-wherever it is you’re headed.

We’re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces.

About the company

We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO-replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient.

At ALSO, we are looking for a Senior Full Stack Engineer who wants to own a capability from the data model all the way through to the screen - not a backend engineer who tolerates the frontend, and not a frontend engineer who just calls someone else’s API, but someone who holds a high bar at both ends.

Our cloud platform is where a connected EV becomes more than a vehicle: telemetry arrives continuously from the field, services turn it into diagnostics and fleet intelligence, and a set of interfaces puts that capability in front of customers checking their vehicle, partners building on our APIs, and internal teams managing a growing fleet. You’d be designing and shipping backend microservices built for real scale and real reliability, then building the interfaces on top of them - in a genuine 0 to 1 environment where systems are still being designed, decisions are still open, and the patterns you set will shape how the team builds for years.

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