Senior Backend / Infrastructure Engineer

NUABLE; San Francisco, Northern (CA, KY); Hybrid; USD 170,000 - 300,000; Full time

Benefits offered by this job

Base salary between $170,000 – $300,00

Competitive equity package

Visa sponsorship considered on a case‑

On-site engineering culture in San Frн

Opportunity to shape infrastructure‑dr

Significant ownership and influence

Job summary

NUABLE is seeking a Senior Infrastructure Engineer in San Francisco to own the infrastructure strategy and drive deployment of secure, multi-cloud solutions for enterprise AI workloads.

You will design and implement highly available, multi-region cloud infrastructure, support BYOC and on-premise deployments, and shape the architectural direction from day one. The role demands deep experience with AWS/GCP/Azure, IaC tooling, and security/compliance practices.

Qualifications

• 4–12 years of experience in Infrastructure Engineering, Cloud Engineering or Backend Engineering.
• Deep expertise across AWS, Google Cloud Platform and Microsoft Azure.
• Strong experience designing highly available distributed systems.
• Advanced knowledge of cloud networking, including VPCs, load balancing, DNS and service mesh technologies.
• Experience with Infrastructure as Code tools such as Terraform, Pulumi or CloudFormation.
• Experience supporting enterprise deployments, including self-hosted or customer-managed environments.
• Knowledge of security and compliance frameworks such as SOC 2, ISO 27001, HIPAA or FedRAMP.
• Experience building secure infrastructure for enterprise customers.
• A passion for solving complex infrastructure challenges and taking ownership of technical direction.

Responsibilities

• Designing and implementing highly available multi-region cloud infrastructure.
• Building disaster recovery and automatic failover solutions across multiple cloud providers.
• Developing enterprise deployment architectures, including self-hosted and Bring Your Own Cloud (BYOC) environments.
• Designing secure networking solutions, including VPC connectivity and private networking.
• Building automated provisioning systems for cloud, hybrid and on-premise deployments.
• Creating customer-facing deployment documentation and implementation guides.
• Designing secure enterprise architectures incorporating encryption, identity management and network isolation.
• Building monitoring, observability and alerting solutions for distributed systems.
• Owning the infrastructure roadmap, driving best practices and continuously improving platform reliability.

Skills

Distributed systems

Ownership & direction

Cloud engineering

Networking expertise

Tools

Terraform

Pulumi

CloudFormation

Job description

Contact – [e-mail]

Nuable are working with a well-funded AI infrastructure startup that is building the next generation of tooling for organisations deploying AI agents into production.

Following a significant recent funding round, our client is rapidly scaling its engineering team and is looking for an experiencedSenior Backend / Infrastructure Engineerto help build enterprise-grade cloud infrastructure that powers mission-critical AI systems.

This is an opportunity to join an ambitious engineering team at an early stage, where you’ll have ownership over architecture, infrastructure strategy and the technical direction of a product already being adopted by leading AI teams.

Location

On-site – San Francisco, California (5 days per week)

Salary

$170,000 – $300,000+ Competitive Equity

About the Role

Our client is seeking a Senior Infrastructure Engineer with deep expertise across cloud platforms, distributed systems and enterprise infrastructure.

You’ll be responsible for designing and delivering highly available, secure, multi-cloud infrastructure capable of supporting enterprise customers with demanding security and compliance requirements.

This role offers significant ownership, with responsibility for defining infrastructure strategy, influencing architecture decisions and building the systems that enable customers to deploy AI workloads securely across cloud and on-premise environments.

Responsibilities

• Designing and implementing highly available multi-region cloud infrastructure.
• Building disaster recovery and automatic failover solutions across multiple cloud providers.
• Developing enterprise deployment architectures, including self-hosted and Bring Your Own Cloud (BYOC) environments.
• Designing secure networking solutions, including VPC connectivity and private networking.
• Building automated provisioning systems for cloud, hybrid and on-premise deployments.
• Creating customer-facing deployment documentation and implementation guides.
• Designing secure enterprise architectures incorporating encryption, identity management and network isolation.
• Building monitoring, observability and alerting solutions for distributed systems.
• Owning the infrastructure roadmap, driving best practices and continuously improving platform reliability.

About You

• 4–12 years of experience in Infrastructure Engineering, Cloud Engineering or Backend Engineering.
• Deep expertise across AWS, Google Cloud Platform and Microsoft Azure.
• Strong experience designing highly available distributed systems.
• Advanced knowledge of cloud networking, including VPCs, load balancing, DNS and service mesh technologies.
• Experience with Infrastructure as Code tools such as Terraform, Pulumi or CloudFormation.
• Experience supporting enterprise deployments, including self-hosted or customer-managed environments.
• Knowledge of security and compliance frameworks such as SOC 2, ISO 27001, HIPAA or FedRAMP.
• Experience building secure infrastructure for enterprise customers.
• A passion for solving complex infrastructure challenges and taking ownership of technical direction.

Technology Stack

• AWS
• Microsoft Azure
• Google Cloud Platform
• Terraform
• Kafka
• ClickHouse
• Multi-cloud infrastructure
• Enterprise networking
• Infrastructure as Code (IaC)

Package & Benefits

• Base salary between $170,000 – $300,000
• Competitive equity package
• Visa sponsorship considered on a case-by-case basis
• On-site engineering culture in San Francisco
• Opportunity to shape infrastructure strategy within a rapidly growing AI startup
• Significant ownership and influence over technical direction from day one.

About Our Client

Our client is an early-stage AI infrastructure company building critical tooling that helps organisations monitor, evaluate and improve the behaviour of AI systems in production.

Their platform enables engineering teams to better understand how AI applications perform at scale by providing deep visibility into system behaviour, reliability and operational performance. As AI adoption accelerates across enterprise organisations, they’re developing the infrastructure required to support production-ready AI deployments.

Backed by leading investors and experiencing rapid growth, the company operates with a high-performance engineering culture where ownership, technical excellence and speed are highly valued. Engineers are encouraged to take responsibility for solving challenging technical problems while helping shape both the product and the long-term engineering vision.

This is a unique opportunity to join an exceptionally well-funded startup at an early stage, working on complex infrastructure challenges that sit at the forefront of modern AI engineering.