Description

You will drive IT operations modernization by implementing observability practices and automating toil to ensure system scalability and reliability.

This role is hybrid.

Responsibilities

• Architect and deploy observability platforms using Dynatrace and Datadog to monitor system health, performance, and reliability.
• Develop and enforce SRE best practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets.
• Lead toil automation initiatives using Python and Ansible, including scripted, orchestration, and AI/ML-based solutions for incident response and self-healing.
• Propose and drive strategies for AI-driven alerting and proactive anomaly detection to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).
• Collaborate with engineering and product teams to enable shift-left practices, ensuring systems are scalable, resilient, and maintainable.

Required Skills

• 12+ years of experience in IT operations, SRE, or DevOps roles.
• Advanced knowledge of establishing observability using Dynatrace and Datadog.
• Proficiency in automation and scripting using Python and Ansible.
• Strong experience with cloud platforms AWS and Azure.
• Solid understanding of containerization and orchestration tools like Docker and Kubernetes.
• Proficiency in cloud-native distributed systems and microservices architecture.
• Familiarity with CI/CD pipelines and automated release engineering solutions.

Preferred Skills

• Exposure to AI/ML techniques for predictive analytics and automated problem resolution.
• Experience with chaos engineering tools like Gremlin or Chaos Monkey and resilience tracking automation frameworks.

Key Skills

Education

Any Graduate