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US Infrastructure Engineer

  • Office

Salary

$120,000 - 250,000/ year

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Description

Founding Infrastructure Engineer (New York)

At the company, we’re building AI for the global IP industry. We’re now building our first engineering team in New York.

Responsibilities

  • You’ll be our first engineer in New York, working closely with our London infrastructure team. You’ll own how Solve is deployed, secured and run for our largest customers in the US. Many of them need fully isolated environments that meet strict security requirements.
  • This isn’t a ticket queue. You’ll make architectural decisions, write a lot of Terraform, and work directly with the founders and with customers’ security teams.
  • What you’ll own
  • Repeatable enterprise deployments: Turn our infrastructure into a repeatable process for single-tenant, isolated and air-gapped customer environments.
  • Secure cloud architecture: Design and run our AWS environments with Terraform, including regulated and government-grade environments.
  • Security and compliance engineering: Build controls into the infrastructure itself (IAM, network segmentation, encryption, logging and audit trails). Be the technical owner when customers review our security posture.
  • Reliability and observability: Instrument the stack (OpenTelemetry, Datadog) so we find issues before customers do, and own incident response for US environments.
  • Developer velocity: Improve CI/CD (GitHub Actions, Docker) so the whole team can ship quickly and safely.
  • What you’ll work on first
  • Make our custom enterprise deployment process repeatable across customers and environments.
  • Harden and document security controls for our US regulated environments.
  • Set up on-call, monitoring and runbooks for US customers.
  • What You Bring

Requirements

  • Terraform expertise: You use it every day and it’s your default tool for infrastructure.
  • Production infrastructure experience: You’ve owned production cloud infrastructure, ideally on AWS, beyond configuring it.
  • CI/CD and containers: Kubernetes or ECS, and deployment pipelines you’ve built yourself.
  • Security fundamentals: IAM, cloud networking, secrets management and least-privilege design.
  • Software engineering ability: Strong Python, and comfortable building backend services and wiring infrastructure into the product.
  • US work authorization: You’re authorized to work in the US.
  • Nice-to-haves:
  • Experience with FedRAMP, NIST 800-53, SOC 2 or ISO 27001 environments
  • Early-engineer experience at a startup, or infrastructure work at a hedge fund or quant firm
  • Distributed task queues (Celery/SQS), OpenSearch, or AI/ML infrastructure
  • DevSecOps experience
  • We care about what you’ve built more than certificates. Tell us about the hardest infrastructure problem you’ve owned.
  • About the company
  • Traction: 20–30% month-on-month revenue growth, selling to more than 700 IP teams worldwide, including leading US law firms.
  • Proven value: Users report 50–90% efficiency gains.
  • Your Team
  • You’ll work directly with our founding team:
  • Chris (CEO): PhD in AI (UCL), ex-Dyson and the Alan Turing Institute.
  • Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).
  • Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D.

Benefits

  • Salary: Competitive base, plus significant equity.
  • Founding impact: You’ll shape our US engineering team and infrastructure from day one.
  • Benefits: Comprehensive health, dental and vision cover, a 401(k), enhanced parental leave and meals in the office.
  • Location: In person in New York, 5 days a week.
  • Experience: Any (new grads ok)
  • Visa: US citizen/visa only

Where you’d work

From the office, 4 or more days a week in the office

No visa sponsorship

About the company

Company hidden

  • Industry: AI

Office in New York, United States

Your chances

Still hiring, not crowded yet, and a person reads your message.

  • 19 checks run
  • 9 good signs
  • 1 red flag

Still hiring?

12 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • States its salarySlight evidence
1 moreFewer
  • A hiring contact is attached to itSlight evidence

How crowded?

7 checks

Low

In its favour5

  • In its Early Window: not on the big job boards yetStrong evidence
  • You can message the hiring contact and skip the queueModerate evidence
  • In the office in New York: only people nearby can take itSlight evidence
2 moreFewer
  • In the office 4 or more days a week: most applicants want lessSlight evidence
  • Asks for Datadog, which fewer than 1% of open roles doSlight evidence

Against it1

  • Pays more than 84% of similar roles: that draws applicantsSlight evidence

Fits Me

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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • Elasticsearch
  • CI/CD
  • GitHub Actions
  • Datadog
Type
Full-time
Equity
Equity offered
Industry
AI
Specialty
DevOps
Region
United States
Show 7 more factsShow less

Role

Category
DevOps & Infrastructure
Specialty
DevOps
Tech stack
  • Python
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • Elasticsearch
  • CI/CD
  • GitHub Actions
  • Datadog

Location

Work model
Office
Region
United States
Office
  • New York, United States
Days in the office
4 or more days
Visa sponsorship
Not sponsored

Compensation

Salary
$120,000 - 250,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
AI

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