Talantix.io
MixMode•11.03.26
AI SCORE 8.5

Remote Software Reliability Engineer for AI

$140K–$180K/year
RemoteAI Cybersecurity
Python•Kubernetes•Docker•CI/CD•Distributed Systems•Microservice•Machine Learning

About the Role

We are looking for a Remote Software Reliability Engineer for AI to join our innovative team at MixMode. In this role, you will enhance the reliability and performance of our AI systems, ensuring they operate seamlessly in dynamic environments.

What You'll Do

  • Own the reliability, performance, and operational health of production AI systems, focusing on improving complex, existing services.
  • Lead efforts to refactor and harden the AI codebase to improve observability, maintainability, and resilience.
  • Diagnose and resolve issues across distributed systems, including latency, throughput, data pipelines, and resource utilization.
  • Design and build monitoring, alerting, and debugging tools for high-availability services.
  • Partner with researchers and ML engineers to productionize models at scale.
  • Establish best practices for testing, deployment, capacity management, and incident response.
  • Collaborate with cross-functional teams to ensure alignment on project goals and deliverables.

Requirements

  • 5+ years of experience as a Software Reliability Engineer or similar role.
  • Strong understanding of distributed systems, microservices architecture, and cloud technologies.
  • Experience with Kubernetes, Docker, and CI/CD pipelines.
  • Proficiency in programming languages such as Python, Go, or Java.
  • Familiarity with machine learning concepts and frameworks.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication skills and the ability to work collaboratively.

Nice to Have

  • Experience in AI or cybersecurity domains.
  • Knowledge of observability tools like Prometheus, Grafana, or similar.
  • Familiarity with agile methodologies.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional growth and development.
  • Health, dental, and vision insurance.
  • Generous paid time off and holiday policy.
  • Collaborative and innovative work culture.
  • Access to cutting-edge technology and tools.
Why This Job8.5 of 10

This role offers a unique opportunity to work at the intersection of AI and cybersecurity, with a focus on enhancing system reliability and performance in a fully remote environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and experienced with frameworks such as Flask or FastAPI to develop and maintain reliable AI services.

→

Strong understanding of Kubernetes and Docker for container orchestration and deployment, enabling efficient management of microservices in a cloud environment.

→

Experience with CI/CD pipelines and distributed systems, showcasing a proactive approach to automating testing and deployment processes in a remote work setting.

Learning Resources

→Python for Data Science Handbookguide
→Kubernetes Basicscourse
→Understanding Microservices Architecturearticle

Career Path

Remote Software Reliability Engineer for AI(Now)→Lead Software Reliability Engineer(1-2 years)→Director of Reliability Engineering(3-5 years)

Market Overview

Python Market Size 2024
$20B
Annual Growth
12.5%
AI Adoption in Software Engineering
60%
Investment in AI Tools
+45%
Labour Demand for Software Reliability Engineers
+30%
Avg Salary for Senior Software Reliability Engineer
$150K

Skills & Requirements

Required
PythonKubernetesDocker
Growing in Demand
Data EngineeringCloud Native DevelopmentDevOps Practices
Declining
jQueryJava EE

Domain Trends

Increased Adoption of Microservices
By 2025, 75% of organizations will use microservices architecture, leading to a demand increase for engineers proficient in Kubernetes and Docker.
Integration of AI in Software Testing
Over 50% of companies are implementing AI-driven testing tools to enhance reliability, creating a need for engineers skilled in Machine Learning.
Rise of Remote Work in Tech
Remote positions in software reliability are projected to grow by 40% as companies embrace distributed teams, increasing competition for skilled engineers.

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