Site Reliability Engineering Software Engineer

Hire Today; India; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

A technology company is seeking a Site Reliability Engineer to enhance the reliability and performance of large-scale distributed systems. In this role, you will develop tools for automation, manage system architecture, and troubleshoot production issues. Ideal candidates will have experience in cloud computing and distributed systems, with a strong focus on operational excellence. This position is on-site in India and involves participation in on-call rotations.

Qualifications

• Experience with distributed systems, cloud computing, and database internals.
• Strong understanding of reliability and performance of large-scale systems.

Responsibilities

• Improve reliability of large-scale systems including AlloyDB.
• Participate in tier 1 on-call rotations.
• Develop tools and infrastructure automation to enhance system reliability.
• Design and review system architecture standards.
• Manage availability, latency, scalability, and efficiency of services.
• Troubleshoot production issues and prevent recurrence through automation.
• Perform capacity planning and system tuning.

Skills

Software engineering principles

Systems engineering

Distributed systems

Cloud computing

Automation tools

Job description

Site Reliability Engineering Software Engineer

Intermediate On-site

Site Reliability Engineering Software Engineer

About the job

As a Site Reliability Engineer you will combine software and systems engineering to build and operate large scale distributed fault tolerant systems ensuring reliability scalability and performance of Google services.

Responsibilities

• Improve reliability of large scale systems including AlloyDB.
• Participate in tier 1 on call rotations.
• Develop tools and infrastructure automation to enhance system reliability.
• Design and review system architecture standards and methods.
• Manage availability latency scalability and efficiency of services.
• Troubleshoot production issues and prevent recurrence through automation.
• Perform capacity planning performance analysis and system tuning.

Preferred qualifications

Experience with distributed systems cloud computing database internals and complexity analysis.