Site Reliability Engineer – Hove, UK, Hybrid - 3 days in office FTC – £85K pa SRE will play a pivotal role in driving the modernization of IT operations by implementing observability practices and automating toil. This position requires a deep understanding of Site Reliability Engineering (SRE) principles, modern observability tools, and automation techniques to ensure scalability, reliability, and efficiency in IT systems. This role requires a strategic thinker with hands-on expertise who can lead modernization efforts while fostering a culture of reliability and innovation. Primary Responsibilities: * Work closely with Product Engineering team and implement strategies for modernizing IT operations enhancing observability and toil reduction. * Architect and deploy observability platforms to monitor system health, performance, and reliability effectively. * Propose & drive strategies for AI-driven alerting and proactive anomaly detection to reduce MTTD & MTTR. * Develop and enforce SRE best practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets. * Establish & create AIOPS roadmap for improving operational efficiency. * Lead efforts to automate repetitive tasks (toil) using scripting, orchestration tools, and AI/ML-based solutions. * Drive toil automation initiatives for automated incident responses & self-healing automation for achieving autonomous operations. * Collaborate with cross-functional teams to ensure systems are scalable, resilient, and maintainable. * Drive incident management and root cause analysis processes through automation, ensuring continuous improvement to enable autonomous operations. * Partner with engineering, architecture, and product teams to enable shift-left engineering practices ensuring reliability. * Mentor and guide teams on adopting SRE principles and tools. * Advocate for a culture of reliability, automation, and continuous improvement across the organization. Key Skills: * Strong expertise in implementing Site Reliability Engineering (SRE) principles. * Advanced knowledge of establishing observability using tools – Dynatrace & Datadog (primary skills). * Proficiency in automation & scripting using Python & Ansible (primary skills). * Strong experience with cloud platforms – AWS & Azure (primary skills). * Solid understanding of containerization and orchestration tools like Docker and Kubernetes. * Proficiency in cloud native distributed systems & microservices architecture. * Exposure to AI/ML techniques for predictive analytics and automated problem resolution. * Familiarity with CI/CD pipelines & enabling automated release & deployment engineering solutions. * Good to have experience with chaos engineering tools like Gremlin or Chaos Monkey and implementing automation frameworks for resilience tracking. * Ability to manage and prioritize multiple projects in a fast-paced environment. * Strong interpersonal and communication skills to work effectively across teams. * Excellent problem solving, analytical thinking, and adaptability. * Strategic mindset balancing engineering excellence with business priorities. Preferred Qualifications: * 12+ years of experience in IT operations, SRE, or DevOps roles. * Proven track record of SRE experience in implementing observability and automation solutions in large-scale environments. * Certifications in cloud platforms, observability tools & other SRE related areas
