SRE

Role: SRE

Location: Hove, UK

Is it Permanent / Contract: Open for both Perm/Contract

Is it Onsite/Remote/Hybrid: 2days per week from office

No. of Positions: 1

The successful candidate will work closely with engineering, architecture, and product teams to implement modern reliability practices, automate operational workflows, and establish robust monitoring and incident management frameworks.

Key Responsibilities

• Collaborate with engineering teams to modernize IT operations by improving observability, automation, and operational efficiency.
  

• Design and implement observability platforms to effectively monitor system health, performance, and reliability.
  

• Develop strategies for AI-driven alerting and proactive anomaly detection to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).
  

• Establish and enforce SRE best practices, including Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets.
  

• Define and implement an AIOps roadmap to enhance operational intelligence and automation.
  

• Automate repetitive operational tasks (toil reduction) using scripting, orchestration tools, and automation frameworks.
  

• Implement self-healing systems and automated incident response mechanisms to support autonomous operations.
  

• Collaborate with cross-functional teams to ensure systems are scalable, resilient, and maintainable.
  

• Lead incident management, root cause analysis, and post-incident improvement initiatives.
  

• Promote shift-left reliability practices across engineering and product teams.
  

• Mentor team members and advocate for a culture of reliability, automation, and continuous improvement.
  

Required Skills & Experience

• Strong expertise in Site Reliability Engineering (SRE) principles and practices.
  

• Hands-on experience implementing observability solutions, particularly with Dynatrace and Datadog.
  

• Strong scripting and automation experience using Python and Ansible.
  

• Experience working with cloud platforms such as AWS and Azure.
  

• Solid understanding of containerization and orchestration technologies, including Docker and Kubernetes.
  

• Experience working with cloud-native distributed systems and microservices architectures.