Forward Deployed Engineer

🕒 July 28

🇺🇸 United States – Remote

💵 $220k - $260k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 9%

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Restate

2 - 10 employees

☁️ SaaS

🏢 Enterprise

🔌 API

💰 $7M Seed Round - Restate on 2024-06

SaaS • Enterprise • API

Restate is a lightweight runtime and durable execution platform for building resilient AI agents, workflows, and backend services. It stores progress and automatically resumes code after failures, eliminating infrastructure and defensive plumbing. Developers write durable steps in familiar languages (TypeScript, Python, Go, Java/Kotlin, Rust) and deploy to servers, containers, or serverless platforms (Kubernetes, Vercel, Cloudflare Workers, AWS Lambda, Fargate, Google Cloud Run, etc. ). Restate offers a high-performance Rust runtime with low latency and high throughput, supports self-hosting or Restate Cloud, and is positioned as an alternative to systems like Temporal. It targets long‑running, event‑driven, and distributed applications including AI agents and orchestration.

📋 Description

• Help customers build production systems • Lead technical evaluations and proof-of-concepts • Design production architectures with customer engineering teams • Build integrations, reference implementations, and sample applications • Guide customers from successful evaluation through production deployment • Make production deployments successful • Design Kubernetes and cloud deployment strategies • Establish observability, networking, security, and operational best practices • Diagnose and resolve complex production issues • Support critical customer escalations when they arise • Improve Restate • Contribute to documentation, tutorials, demos, and implementation guides • Turn recurring customer questions into reusable tooling and enablement assets • Partner closely with engineering to improve the developer experience

🎯 Requirements

• Building or operating distributed systems • Professional experience with Go or Rust • Experience with TypeScript, Java, or Python • Kubernetes and cloud infrastructure (AWS, GCP, or Azure) • Production operations, observability, and networking • Modern backend architecture and distributed systems design

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