> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Infrastructure Engineer, Customer Delivery

Canonical URL: https://nextmove.md/fde/jobs/520c15eff228e659

Distyl AI posts a FDE role to build what the customer runs in San Francisco, CA and 1 more, at $200,000–$250,000 base, level with the staff+ FDE median of $225,000 across 388 postings with pay. This role owns end-to-end infrastructure architecture and delivery for Distyl's AI platform across hosted, customer VPC, and on-premises environments. Read from the employer’s posting on November 8, 2026.

- [Distyl AI](https://nextmove.md/fde/companies/distyl-ai)

Posted Oct 13, 2026 by Distyl AI · open on Ashby as of Nov 8, 2026

**$200,000–$250,000** + equity San Francisco, CA +1 Hybrid, Tue–Thu in office Full-time

This role owns end-to-end infrastructure architecture and delivery for Distyl's AI platform across hosted, customer VPC, and on-premises environments.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F520c15eff228e659&placement=top)
- [View posting at Distyl AI](https://jobs.ashbyhq.com/Distyl/276721f0-332e-4017-8298-9cd07b1de4d1/application)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$200K–$250K Level with the median

Midpoint $225K · median $225K

This job $200K to $250K. Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: Both

- **Level**: Staff+

- **Role**: Technical lead

### What they ask for

Experience

- **7+ years** infrastructure engineering, cloud engineering, SRE, or related technical delivery roles

Background

- **Software engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 7+ years. How many do you have?

The posting reads as a staff-level role. What level are you at now?

The job is in San Francisco, CA · New York, NY. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: San Francisco, CA · New York, NY

- **Work arrangement**: Hybrid, Tue–Thu in office

- **Remote work restrictions**: 3+ days per week (Tuesday–Thursday) in office in San Francisco or New York

- **Employment type**: Full-time

- **Pay**:

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- [Other jobs at Distyl AI (6)](https://nextmove.md/fde/companies/distyl-ai)

## The job description from Distyl AI

Posted by Distyl AI on Oct 13, 2026

### About Distyl AI

Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.

We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.

Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.

### What We Are Looking For

We're hiring a hands-on Infrastructure Engineer to lead cloud architecture and delivery of Distyl's AI platform across Distyl-hosted, customer VPC, and on-premises environments. You'll partner with customers, platform engineering, and forward-deployed AI engineers from discovery through production. Scope will reflect your experience, from leading complex deployments to setting technical direction across teams.

You'll translate complex customer architectures and requests into working infrastructure, building reusable patterns and automation that make each launch easier.

You'll own customer deployments end to end and help shape a growing delivery team's practices. Success means faster launches, reliable operations, and less repeated work as deployments scale.

### Key Responsibilities

- **Architecture ownership.** Own portable reference architectures across Distyl-hosted, customer VPC, and on-premises deployments, with clear control-plane/data-plane boundaries. Distinguish necessary customer adaptations from avoidable variation across AWS, Azure, and GCP. Integrate identity, networks, data, and model providers with appropriate access, routing, and audit controls
- **Platform and on-premises delivery.** Work with forward-deployed AI engineers to deploy and upgrade Distyl's platform using infrastructure as code, Docker, Kubernetes, and shared CI/CD tooling. Support private registries, restricted egress, offline installs/upgrades, and alternatives to cloud-managed dependencies. Validate compatibility and recovery within customer change controls
- **Automation mindset.** Turn recurring delivery friction into shared automation. Build provisioning services, controllers, and reusable deployment APIs in Python or Go to make future deployments faster and more reliable
- **Customer relationships and communication.** Build trust, clarify requests, explain tradeoffs, and own commitments through production acceptance. Keep customers and developers aligned on readiness, upcoming changes, dependencies, and blockers; escalate risks early
- **Production security and reliability.** Implement network segmentation, data-residency controls, and audit trails with security and infrastructure partners. Establish SLOs, observability, actionable alerts, and tested disaster recovery. Own infrastructure incident resolution in assigned environments, coordinating with relevant engineering owners. Use incident and deployment data to improve reliability, runbooks, and support handoffs
- **Hosted infrastructure.** Build and operate tenant isolation, provisioning, quotas, autoscaling, metering, and cost attribution for Distyl-hosted deployments, in partnership with platform engineering
- **AI runtime infrastructure.** Partner with Runtime on agent sandboxing, workload identity, scoped credentials, network controls, and resource limits across supported deployments
- **AI-assisted engineering.** Build agent-assisted workflows for environment checks, troubleshooting, and infrastructure changes. Scope access, verify outputs, and measure improvements in delivery effort and reliability
- **Technical leadership.** Set delivery standards, mentor engineers, and help build the delivery team's technical practices. Partner with forward-deployed AI and platform engineers to unblock delivery and turn customer lessons into product improvements

### Who You Are

- 7+ years of experience in infrastructure engineering, cloud engineering, SRE, or related technical delivery roles
- Deep production experience in AWS, Azure, or GCP, plus working experience in a second cloud
- Customer-facing engineering experience with direct responsibility for technical delivery and stakeholder communication. You build trust, clarify requirements, negotiate scope, and keep stakeholders aligned
- Hands-on experience with networking, IAM, Docker, Kubernetes, and observability, including workload identity, scoped credentials, and resource limits
- Proven experience writing and maintaining production infrastructure as code
- Strong production Python or Go experience building reusable infrastructure software, such as provisioning services, controllers, or deployment APIs
- Experience operating hosted infrastructure with tenant isolation, provisioning, capacity controls, and usage/cost visibility
- Experience turning customer requirements into production architectures, with clear control-plane/data-plane boundaries, CI/CD, and identity, network, and data integrations
- Experience delivering under strict access, network, security, and change controls, including private registries or restricted egress
- Experience implementing network segmentation, data-residency controls, audit trails, SLOs, disaster recovery, and incident response
- Strong troubleshooting and automation skills. You balance speed with reliability, handle upgrades and stateful changes carefully, and verify AI-assisted work
- **Technical leadership.** You lead complex deployments independently. Experience setting technical direction and leading adoption of reusable systems and standards across teams is especially valued
- **Strongly preferred:** Building or scaling infrastructure delivery and operations across enterprise customer environments, including production deployments across multiple clouds

- **Preferred:** On-premises installs/upgrades, offline operation, or replacing cloud-managed dependencies
- **Preferred:** Agent sandboxing or technical AI governance, including model access, routing, data-handling, and audit controls

### What We Offer

- The base salary range for this role is $200,000-$250,000, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible time off
- Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
- Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
- Complimentary in-office lunches and snacks provided
- Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
- Ownership of high-impact projects across top enterprises
- A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence

Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.

We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

[View posting at Distyl AI](https://jobs.ashbyhq.com/Distyl/276721f0-332e-4017-8298-9cd07b1de4d1/application)

## About Distyl AI

Builds AI-native enterprise systems for Fortune 500 operators, combining forward-deployed teams with Distillery to turn domain knowledge into auditable production workflows.

Series B · 100–200 people

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