The Red Hat IT Automation & Intelligence Evolution (AIE) team is seeking a Senior Site Reliability Engineer to drive our strategic shift from traditional operations to intelligent automation and AIOps. In this pivotal role, you will serve as a technical lead for reliability and a strategic consultant to the wider organization.
You will design and implement self-service platforms, drive AI-driven operational workflows, and spearhead our "alert-noise reduction" campaigns. You will act as a technical leader, mentoring junior engineers and partnering with internal teams to identify high-RoI automation opportunities. Your goal is not just to fix issues, but to permanently remove the "Hidden Tax" of toil and interruptions through engineering and AI adoption.
What will you do?
Reliability Engineering & Standards
- Define and Enforce SLOs: Lead the definition of Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for critical services, managing Error Budgets to balance feature velocity with system stability.
- AIOps Implementation:
Drive the adoption of AIOps solutions (including Anomaly Detection and Predictive Alerting) to reduce incident volume and improve Mean Time to Resolution (MTTR).
- Resilience Engineering: Design and lead Chaos Engineering experiments (e.g., fault injection) to validate system recovery and uncover weaknesses before they impact production.
Automation & Efficiency
- Eliminate Toil: Identify manual, repetitive work patterns and engineer complex automation solutions to eliminate them, aiming to boost overall team capacity.
- Intelligent Workflows: Move beyond basic scripting to build intelligent agents and workflows using tools like the Model Context Protocol (MCP) and LLM integrations to automate decision-making processes.
- Infrastructure as Code: Maintain and evolve the "Infrastructure as Code" ecosystem, ensuring robust configuration management and version control standards are applied across the workplace.
En
📌 Senior Site Reliability Engineer (Pune)
🏢 Red Hat
📍 Pune
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