Senior Backend Engineer

NUABLE

San Francisco, Northern (CA, KY)

On-site

USD 200,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Visa transfer support
Equity package
On-site in San Francisco
Technical ownership
AI infrastructure focus

Job summary

Nuable is hiring a Senior Backend Engineer to design and scale core backend services powering billions of API requests. You will own observability, logging and platform reliability while collaborating with enterprise engineering teams to deliver highly scalable infrastructure.

Proficiency in Python and/or Rust and a passion for infrastructure are essential. The role is on-site in San Francisco, offering a competitive salary and equity, with visa transfer support for eligible candidates and a

Qualifications

  • 3+ years of commercial backend software engineering experience.
  • Strong experience building scalable backend systems.
  • Experience with high-growth technology businesses is desirable.
  • Excellent knowledge of distributed systems and backend architecture.
  • Experience developing APIs and high-performance services.
  • Strong communication skills with enterprise customers.

Responsibilities

  • Design, build and scale core backend services.
  • Develop reliable systems handling billions of requests per month.
  • Own backend services for logging, tracing and observability.
  • Enhance monitoring and telemetry for high performance under load.
  • Build security-focused backend capabilities and platform guardrails.
  • Develop production software using Python and/or Rust.
  • Collaborate with enterprise teams to solve complex challenges.
  • Improve platform reliability, scalability and developer experience.

Skills

Distributed systems
Backend architecture
APIs
Enterprise customer collaboration
Problem solving

Tools

Python
Rust
FastAPI
Flask
PostgreSQL
Redis
Datadog
Splunk
Prometheus
OpenTelemetry

Job description

Contact – Joe@Nuable.io

Nuable are working with a fast-growing AI infrastructure startup that is building critical tooling for organisations deploying Large Language Models (LLMs) into production.

Following impressive commercial growth and strong backing from leading technology investors, our client is expanding its engineering team and is looking to hire a Senior Backend Engineer to help build highly scalable backend systems that power millions of AI requests every day.

This is an opportunity to join an ambitious engineering team working on developer infrastructure at scale, where you’ll have ownership over core backend services, observability and platform reliability.

Location

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

Salary

$200,000 – $260,000 + Competitive Equity

About the Role

Our client is looking for an experienced Backend Engineer who enjoys building highly scalable distributed systems and developer infrastructure.

You’ll take ownership of critical backend services responsible for observability, logging and platform reliability, while helping build systems capable of processing billions of API requests each month.

This is a highly technical role that combines backend engineering, infrastructure and customer-facing problem solving, working closely with enterprise engineering teams deploying AI applications at scale.

Responsibilities
  • Designing, building and scaling core backend services.
  • Developing highly reliable systems capable of handling billions of requests each month.
  • Owning backend services responsible for logging, tracing and platform observability.
  • Enhancing monitoring and telemetry systems to maintain high performance under significant load.
  • Building security-focused backend functionality and platform guardrails.
  • Developing production software using Python and/or Rust.
  • Working directly with enterprise engineering teams to solve complex technical challenges.
  • Continuously improving platform reliability, scalability and developer experience.
About You
  • 3+ years of commercial backend software engineering experience.
  • Strong experience building scalable backend systems.
  • Experience working within high-growth technology businesses is highly desirable.
  • Excellent knowledge of distributed systems and backend architecture.
  • Experience developing APIs and high-performance services.
  • Strong communication skills with the ability to work directly alongside enterprise customers.
  • A passion for solving complex infrastructure and scalability challenges.
Technology Stack
  • Python
  • Rust
  • FastAPI
  • Flask
  • PostgreSQL
  • Redis
  • Datadog
  • Splunk
  • Prometheus
  • OpenTelemetry
Package & Benefits
  • Base salary between $200,000 – $260,000
  • Competitive equity package
  • Visa transfer support available for eligible candidates
  • On-site engineering culture based in San Francisco
  • Opportunity to work on infrastructure supporting AI applications at massive scale
  • Significant technical ownership within a rapidly growing engineering team.
About Our Client

Our client is an AI infrastructure company developing technology that simplifies how engineering teams build, deploy and manage applications powered by Large Language Models.

Their platform enables developers to integrate multiple AI models through a unified interface while providing the observability, reliability and operational tooling required to run production AI systems at scale. Already processing billions of requests each month, the business has achieved impressive commercial traction and continues to grow rapidly.

Backed by leading technology investors, the company combines the agility of an early-stage startup with the momentum of a business that has already established strong product-market fit. Engineers are given significant ownership, work closely with customers solving real-world technical challenges and have the opportunity to shape the future of AI infrastructure.

If you’re excited by distributed systems, developer tooling and building software that powers the next generation of AI applications, this represents an exceptional opportunity to join one of the fastest-growing businesses in the space.

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