Description

You will design, build, and operate large-scale distributed systems handling millions of transactions. You own the service lifecycle from conception to deployment, ensuring high availability and performance across public and private clouds.

This role is on-site.

Responsibilities

• Define and implement system architecture, deployment standards, and operational best practices.
• Manage capacity and performance to scale infrastructure globally.
• Monitor system health, manage incidents, and conduct postmortems to improve reliability.
• Integrate GenAI and AIOps tools for automated incident detection, root cause analysis, and self-healing workflows.
• Develop ML models using operational telemetry to predict failures and enable proactive remediation.

Required Skills

• 5+ years of experience in SRE or distributed systems engineering.
• Proficiency in Python, Ruby, or GoLang with Object-Oriented Programming knowledge.
• Hands-on experience with AIOps platforms: Moogsoft, Dynatrace, Splunk, BigPanda, Datadog, or Elastic.
• Experience integrating Generative AI (GenAI) and Prompt Engineering for observability and automation.
• Familiarity with cloud platforms: AWS, GCP, or Azure (e.g., Bedrock, Vertex AI).
• Strong background in system design, monitoring, and incident response.

Key Skills

Education

Any Gradute