Senior Staff Systems Engineer, Site Reliability Engineering
AI Summary ✨
Requirements:
Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
8 years of experience with programming in one or more programming languages.
4 years of experience leading projects.
3 years of experience building and developing large-scale infrastructure or distributed systems.
Nice to haves:
Master's degree in Computer Science or Engineering.
Experience with Machine Learning Infrastructure.
What you'll be doing:
Lead the design and implementation of complex AI-powered systems, with a focus on reliability, scalability, and efficiency.
Lead and influence cross-organisational collaborations, ensuring adherence to product goals and initiatives to move work forward. Drive technical discussions and decision-making within the team and across the organisation.
Provide guidance to other team members on managing availability and performance of mission critical services, building automation to prevent problem recurrence, and building automated responses for non-exceptional service conditions.
Mentor and train other team members on design techniques and coding standards, and to cultivate innovation and collaboration across multiple teams.
Manage individual projects priorities, deadlines, and deliverables.
Perks and benefits:
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running.
Work on meaningful projects in a supportive and mentorship-oriented environment.