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Senior Site Reliability Engineer (Security Clearance) - Remote

Posted 1 week ago
DevOps / Sysadmin
Full Time
USA

Overview

As a Site Reliability Engineer at Trase Systems, you will be responsible for ensuring the reliability and performance of our AI platform, working closely with engineering teams to build and operate scalable infrastructure.

In Short

  • Design and maintain core infrastructure for AI applications.
  • Automate deployment and management processes.
  • Monitor system performance and reliability.
  • Collaborate with ML engineers on infrastructure and pipelines.
  • Lead incident response and conduct post-mortems.
  • Implement observability tools for system health.
  • Optimize resource utilization for cost efficiency.
  • Champion SRE best practices across the organization.

Requirements

  • Experience in Site Reliability Engineering or DevOps roles.
  • Expertise in cloud platforms like GCP, AWS, or Azure.
  • Proficiency with Infrastructure as Code tools.
  • Knowledge of containerization and orchestration (Docker, Kubernetes).
  • Strong programming skills, especially in Python.
  • Experience with monitoring and observability tools.
  • Background in CI/CD pipeline development.
  • Excellent problem-solving and communication skills.
  • Bachelor's or Master's degree in a related field.
  • Active Security Clearance required.

Benefits

  • Comprehensive health care coverage for you and your family.
  • Paid maternity and paternity leave for 14 weeks.
  • Unlimited PTO with management approval.
  • Opportunities for professional development.
  • Optional 401K, FSA, and equity incentives.
  • Mental health benefits available.

T.S

Trase Systems

Trase Systems, co-founded in 2023 by Joe Laws and Grant Verstandig, is an innovative technology company focused on simplifying the adoption of artificial intelligence (AI) for enterprises. The company provides an end-to-end solution that empowers enterprise leaders to leverage AI's full potential while minimizing complexity and risks. Trase specializes in bridging the 'last mile' of AI adoption, enabling organizations to implement, manage, and optimize AI technologies effectively, driving efficiency and significant cost savings.

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