Site Reliability Engineer - AI-Driven Observability

Site Reliability Engineer - AI-Driven Observability

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
bet365

At a Glance

  • Tasks: Enhance system reliability and performance using AI-driven observability tools.
  • Company: Join Bet365, a leader in the tech-driven betting industry.
  • Benefits: Enjoy competitive pay, flexible working options, and career development opportunities.
  • Other info: Dynamic work environment with a focus on cutting-edge technology.
  • Why this job: Make a real impact by improving system uptime and collaborating with innovative teams.
  • Qualifications: Experience in site reliability engineering and a passion for automation.

The predicted salary is between 60000 - 80000 Β£ per year.

Bet365 is seeking a Site Reliability Engineer to enhance reliability, observability, and performance of key systems.

You will approach reliability as a software problem, implementing instrumentation, logging, and automation to reduce toil and improve uptime.

You will collaborate across teams to embed best practices throughout the software life cycle and leverage AI tools to drive autonomous operations, telemetry, and improved health metrics.

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Site Reliability Engineer - AI-Driven Observability employer: bet365

At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our hybrid work policy allows for flexibility, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career in the fast-paced world of sports trading technology. Join us to tackle exciting challenges and be part of a team that values your contributions and supports your professional journey.

bet365

Contact Details:

bet365 Recruitment Team

We think you need these skills to ace Site Reliability Engineer - AI-Driven Observability

Reliability Engineering
Observability
Performance Optimisation
Instrumentation
Logging
Automation
Collaboration