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Site Reliability Engineer

Infinity Quest

RemoteCounty Dublin, IrelandseniorFull-time
Posted
1 week ago
Source
LinkedIn (remote, Europe)
Field
Engineering

Skills

Problem SolvingCommunicationKubernetesAnalyticsAnsibleRoadmappingPythonDockerDevOpsAzureCI/CDAWSMachine LearningAI

Description

Role: Site Reliability Engineer Location: Dubline, Ireland Mode: Hybrid Type: FTE Job Description: 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.

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