# Forward Deployed Engineer

**Company:** [Anyscale](https://hotfix.jobs/companies/anyscale)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $267k – $287k/yr
**Experience:** 5+ years
**Skills:** Kubernetes, AWS, Azure, GCP, Terraform, Helm, Python, Go, Java, Ray, Spark, DevOps, Site Reliability Engineering
**Posted:** 2026-07-02

> Forward Deployed Engineer partnering with sophisticated AI organizations to design, deploy, and operate production AI infrastructure and distributed workloads on Ray/Anyscale, Kubernetes, and major clouds. Requires 5+ years cloud/platform engineering experience, strong Kubernetes and IaC skills, and customer-facing expertise.

## Job Description

## Responsibilities
- Design and implement production-grade AI platform architectures on Kubernetes and public cloud infrastructure (AWS, Azure, and GCP).
- Partner directly with customer platform, infrastructure, and ML engineering teams to deploy, operate, and optimize distributed AI workloads.
- Lead implementation engagements that include platform installation, networking, security, observability, scaling, upgrades, and operational readiness.
- Troubleshoot complex distributed systems issues spanning infrastructure, Kubernetes, networking, storage, and AI applications.
- Develop automation, tooling, reference implementations, and infrastructure-as-code that accelerate customer success and improve repeatability.
- Build trusted relationships with technical leaders, platform teams, and executive stakeholders, translating business objectives into robust technical solutions.
- Collaborate closely with Product and Engineering to communicate customer requirements, identify product improvements, and shape future platform capabilities.
- Share best practices through technical documentation, architecture guidance, workshops, and enablement.

## Requirements
- 5+ years of experience in cloud infrastructure, platform engineering, DevOps, Site Reliability Engineering, or software engineering.
- Experience building, deploying, or operating ML/AI platforms that support model training, inference, or large-scale data processing workloads.
- Strong expertise with Kubernetes and containerized production environments.
- Experience operating cloud infrastructure on AWS, Azure, or GCP, including networking, security, IAM, storage, and infrastructure automation.
- Experience with Infrastructure as Code and modern DevOps tooling such as Terraform, Helm, GitOps, CI/CD pipelines, or similar technologies.
- Strong software engineering skills in Python, Go, Java, or a comparable language, with experience building automation or production services.
- Experience working directly with enterprise customers in consulting, professional services, field engineering, solutions architecture, or another customer-facing engineering role.
- Excellent communication skills and the ability to work effectively with both executive and deeply technical stakeholders.
- Willingness to travel as needed to work alongside strategic customers.

## Nice-to-Haves
- Familiarity with distributed computing frameworks such as Ray, Spark, Dask, or Kubernetes-native distributed systems.
- A passion for solving difficult customer problems and building reusable technical solutions.

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**Apply:** https://hotfix.jobs/jobs/eda9df25-2945-45a0-85bb-15edae1913df
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