Site Reliability Engineer - AIOps / Observability Services

L2Observability / AIOps :

Site Reliability Engineering (SRE) is an engineering discipline that combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems.

SRE ensures internally critical and externally visible systems have reliability and uptime appropriate to users' needs and a fast rate of improvement while keeping an ever-watchful eye on capacity and performance.

SRE is a mindset, and a set of engineering approaches focused on optimizing existing systems, building infrastructure, and eliminating work through automation.

As a Site Reliability Engineer with focus on observability you will build and operate next generation observability platforms.

As an SRE with Observability focus you will :

• Explore the complex IT estates of our clients to understand their observability / AIOps opportunities, identify the areas to improvise.
• Collaborate to architect unified observability and AIOps strategies which employ leading AI technology.
• Implement enterprise observability / AIOps technology and processes.
• Amplify observability / AIOps outcomes by accelerating adoption across technology and business include :
• Architect observability solutions to address the gaps in order to reduce organizational MTTD and MTTR objectives.
• Developing API-driven micro-services that combine into large and complex platforms.
• Planning and executing highly parallel distributed object storage transformations and migrations.
• Maintaining automated test suites using CI / CD tools.
• Participating in collaborative projects with small software engineering teams.
• Develop automation, processes, and tools designed to make our services simpler and more robust.
• Participate in troubleshooting, capacity planning and analysis, performance analysis activities.
• Advise management on service onboarding strategies and execution.

What we are looking for :

Please bring to the table :

We have opportunities to work with and learn :

(ref : hirist.tech)