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# Full Stack Engineer, Cloud Platform

- **Company:** Also, Inc.
- **Location:** Palo Alto, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** 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, 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
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-full-stack-engineer-cloud-platform-also-9001733

## About the Role

* 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

## 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


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