Role– Site Reliability Engineer
Location : Hove, UK
Work Mode :Hybrid
Mandatory primary skills on Datadog / Dynatrace tools, SLO management skills (AWS cloud skills is secondary).
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.