Site Reliability Engineer

SRE will play a pivotal role in driving the modernization of IT operations by implementing observability practices and automating toil. This position requires a deep understanding of Site Reliability Engineering (SRE) principles, modern observability tools, and automation techniques to ensure scalability, reliability, and efficiency in IT systems. This role requires a strategic thinker with hands-on expertise who can lead modernization efforts while fostering a culture of reliability and innovation., * 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.

• 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