Site Reliability Engineer, AML Platform - USDS (AI/ML)

Location: Sydney, Australia; fully in-person up to 5 days a week

Company

hirify.global operates data privacy, cybersecurity, and trust and safety programs to protect U.S. user data, applications, algorithms, and the content ecosystem.

What you will do

• Design, build, and maintain highly available, scalable, and fault-tolerant systems for distributed AI/ML workloads.
• Monitor and analyze system performance and resolve issues before they affect users.
• Develop automated monitoring, alerting, and incident response systems and pipelines.
• Collaborate with software engineering teams to improve application reliability, scalability, and performance.
• Implement security best practices and maintain compliance with regulatory requirements.
• Participate in on-call rotations, conduct root cause analysis, lead post-mortems, and implement preventative measures.

Requirements

• Expertise in analyzing and troubleshooting Linux-based distributed systems.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent SRE or software engineering experience.
• Programming experience in at least one of C, C++, Python, or Go.
• Strong understanding of data structures and algorithms.
• Competent knowledge of relational database systems.
• Availability to respond to incidents during and outside normal business hours.

Nice to have

• Experience designing and maintaining large-scale systems.
• Strong understanding of code optimization and routine task automation.
• Proficiency with TensorFlow, PyTorch, MXNet, or PaddlePaddle.

Culture & Benefits

• Fully in-person work supports fast alignment, real-time decision-making, and integrated execution.
• Work takes place within a diverse and inclusive environment.
• The role provides exposure to coding, performance analysis, large-scale system operations, and hardware and capacity decisions.