Talantix.io
MixMode•03.03.26
AI SCORE 8.5

Senior Software Reliability Engineer - AI Remote

$140K–$180K/year
RemoteAI Cybersecurity
Python•Go•Java•Kubernetes•Prometheus•Grafana

About the Role

We are seeking a Senior Software Reliability Engineer for AI remote to join our innovative team at MixMode. This position is crucial for enhancing the reliability and performance of our AI systems, which are at the forefront of cybersecurity technology. You will work in a dynamic environment where your contributions will directly impact the security of large organizations and critical infrastructure.

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 planning, and incident response.

Requirements

  • 5+ years of experience in software engineering, with a focus on reliability engineering.
  • Strong understanding of distributed systems, cloud infrastructure, and container orchestration (Kubernetes).
  • Experience with AI/ML systems and their operational challenges.
  • Proficiency in programming languages such as Python, Go, or Java.
  • Familiarity with monitoring tools and frameworks (e.g., Prometheus, Grafana).
  • Excellent problem-solving skills and attention to detail.

Nice to Have

  • Experience in cybersecurity or related fields.
  • Knowledge of data pipelines and ETL processes.
  • Familiarity with CI/CD practices and tools.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunity to work with cutting-edge AI technologies.
  • Collaborative and innovative team culture.
  • Health and wellness benefits.
  • Professional development opportunities.
Why This Job8.5 of 10

This role offers a unique opportunity to work at the intersection of AI and cybersecurity, focusing on 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 Go, with a strong understanding of concurrency and parallelism to optimize AI system performance and reliability.

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Self-motivated and disciplined to excel in a fully remote work environment, demonstrating effective time management and proactive communication skills.

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Deep experience in deploying and managing Kubernetes clusters, leveraging tools like Prometheus and Grafana for monitoring and alerting to ensure system reliability.

Learning Resources

→Python for Data Science Handbookguide
→Kubernetes Basicsguide
→Monitoring Systems with Prometheuscourse

Career Path

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

Market Overview

Market Size 2024
$12.5B
Annual Growth
22.3%
AI Adoption
68%
Investment in AI Tools
+150%
Labour Demand for Software Reliability Engineers
+30%
Avg Salary for Senior Software Reliability Engineer
$145K

Skills & Requirements

Required
PythonGoJava
Growing in Demand
Machine LearningCloud ComputingDevOps Practices
Declining
PerlRuby on Rails

Domain Trends

Shift Towards AI-Driven Reliability
By 2025, 75% of organizations will adopt AI-based tools for monitoring and reliability, significantly increasing the demand for engineers skilled in AI integration.
Containerization and Orchestration Growth
The use of Kubernetes for container orchestration is projected to grow by 40% in adoption rates among enterprises, emphasizing the need for engineers proficient in Kubernetes.
Focus on Observability
Companies are investing 30% more in observability tools like Prometheus and Grafana to enhance system reliability, leading to increased job openings in this area.

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