IT & Software

Site Reliability Engineer

McAfee

London · Greater London · United Kingdom

Overview

In this role you will design and implement solutions to improve the reliability, performance and scalability of McAfee's platforms. You will work closely with engineering teams to automate monitoring, incident response and deployment processes, supporting 24/7 content releases. You will own operational reliability, develop Python-based automation and release frameworks, and contribute to resilience initiatives across cloud and on-prem environments. This position focuses on reducing incident impact and enabling fast, secure software delivery at scale, with a global, cross-functionalteam. The role offers a strong foothold in AI-assisted tooling and a path to meaningful impact within the McAfee

Pay / Benefits
  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental, and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Flexible work hours
Responsibilities
  • Design and implement reliability, performance and scalability improvements
  • Install, configure and test OS, application systems and system management tools
  • Develop automated recovery procedures, deployment schedules and post-maintenance validation
  • Provide production monitoring, performance monitoring and incident resolution
  • Partner with engineering teams to automate monitoring, alerting, availability and scalability
  • Develop Python-based automation to reduce manual toil and improve reliability
  • Design and develop Jenkins/Groovy-based release automation frameworks
  • Deploy and manage virtual environments in cloud and on-prem datacenters
  • Report reliability metrics and incident trends to leadership
  • Manage workflow with Jira and publish knowledge in Confluence
  • Work on content release pipelines for McAfee’s flagship products
  • Occasional on-call duties for out-of-hours escalation
  • Engage with AI/agentic tools to aid development
Key requirements
  • 4+ years of SRE, DevOps or related experience
  • Experience with Cloud Service Providers (GCP, AWS, or Azure)
  • Experience with Windows and macOS
  • Scripting in Python
  • Strong problem-solving and communication skills
  • Ability to work independently and with cross-functional teams
  • Ability to prioritise multiple deadlines and align to business deliverables
  • Knowledge of Confluence and Jira or similar tools
  • Root-cause analysis and feedback loop orientation
  • Metrics development and data-driven decision making
  • Willingness to adapt to culture change
  • Familiarity with AI/agentic tools a plus
  • strong communication
  • initiative and accountability
  • independence and collaboration
  • Python scripting
  • Jenkins
  • Groovy

Reference: WJ-747_31226485

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