Description

You will own the reliability and operational excellence of large-scale, distributed systems.

Responsibilities

• Analyze and troubleshoot issues within massively distributed, fault-tolerant, cloud-native microservices architectures.
• Automate routine tasks across OS, network, database, and application servers, extending beyond simple scripting.
• Measure and monitor availability, latency, and system health to ensure service reliability post-launch.
• Gather and analyze metrics from the tech stack to tune performance and handle P0-P3 issues.
• Participate in system design suggestions, balancing feature velocity with defined service level objectives.

Required Skills

• 5+ years of professional experience in Site Reliability Engineering or DevOps processes.
• Deep understanding of Unix/Linux operating systems, virtual machines, and containers.
• Programming proficiency in at least one of Java, Python, or Go.
• Scripting expertise in Shell, Terraform, Ansible, Chef, or Puppet.
• Experience with observability, capacity planning, and large-scale issue analysis.
• Knowledge of enterprise cloud platforms and data structures.
• Ability to debug and automate tasks in OS, network, database, or application servers.
• Proven capability in data analysis-based decision making for performance tuning.

Key Skills

Education

Any Graduate