11 hours ago

Staff Backend Engineer, Rust

BairesDev

Hybrid
Full Time
$200,000
Hybrid

Job Overview

Job TitleStaff Backend Engineer, Rust
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$200,000
LocationHybrid

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Job Description

Staff Backend Engineer, Rust at BairesDev

At BairesDev®, we've been leading the way in technology projects for over 15 years, delivering cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

We’re looking for a Staff Backend Engineer, Rust with deep Rust expertise who is ready to take on the backend challenges of an enterprise AI platform — not just as an individual contributor, but as someone who sets the standard for how backend systems are built and operated across the team. You’ve worked on distributed systems at scale, you understand what it takes to keep them running reliably, and you know how to influence the technical direction of the people and teams around you. The platform you’ll help build powers machine learning workloads for some of the world’s largest organizations.

What You’ll Do:

  • Architect and implement scalable backend services in Rust, deployed across Kubernetes-native cloud environments.
  • Take ownership of complex backend systems that power AI and machine learning workloads for enterprise clients.
  • Drive backend technical strategy and ensure alignment across engineering efforts.
  • Build and improve LLM/RAG pipeline integrations within the backend infrastructure.
  • Champion engineering quality through code reviews, documentation, and internal standards.
  • Serve as a technical reference for the team, enabling engineers to resolve challenging problems effectively.

What We Are Looking For:

  • 7+ years of experience in IT roles.
  • 5+ years of experience building backend systems using Rust or Go as a primary language.
  • Deep experience with Kubernetes-native architecture and cloud-native deployment patterns.
  • Strong command of distributed systems concepts and large-scale backend delivery.
  • Demonstrated experience with LLM, RAG, or related AI technologies in production.
  • Ability to influence technical decisions and drive alignment across teams and organizational levels.
  • Advanced proficiency in English.

How we do make your work (and your life) easier:

  • Remote Work.
  • Excellent compensation in USD or your local currency if preferred.
  • Hardware and software setup for you to work from home.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Key skills/competency:

  • Rust Programming
  • Kubernetes
  • Distributed Systems
  • Cloud-Native Architecture
  • AI Platforms
  • Machine Learning Workloads
  • LLM/RAG Integrations
  • Technical Strategy
  • Backend Development
  • System Design

Tags:

Staff Backend Engineer, Rust
architecture
distributed systems
AI platforms
machine learning
technical strategy
code reviews
documentation
mentorship
scaling
cloud-native
Rust
Go
Kubernetes
cloud-native
LLM
RAG
enterprise AI
backend services
microservices

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How to Get Hired at BairesDev

  • Research BairesDev's culture: Study their mission, values, remote work philosophy, and global team structure on LinkedIn and Glassdoor.
  • Tailor your Rust resume: Highlight extensive experience with Rust, distributed systems, Kubernetes, and AI/ML platform development.
  • Showcase distributed system expertise: Prepare detailed examples of architecting and operating reliable, large-scale backend solutions.
  • Demonstrate AI platform experience: Discuss practical involvement with LLM, RAG, or related AI technologies in production environments.
  • Prepare for technical deep-dives: Expect rigorous interview questions on Rust programming, system design, cloud-native patterns, and problem-solving at scale.

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