Sr. Site Reliability Engineer- Azure

Job Summary

At XenonStack, We committed to become the Most Value Driven Cloud Native, Platform Engineering and Decision Driven Analytics Company. Our Consulting Services and Solutions are towards the Neural Company and its Key Drivers.

XenonStack's SRE team is looking for a specialist who is responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning." Site reliability engineers create a bridge between development and operations by applying a software engineering mindset to system administration topics.

SRE Specialists are experts who handle the following responsibilities in a company: improving application lifecycle, evolving software systems to increase their reliability, monitoring application performance, and ensuring overall system health. An ideal Specialist should have strong decision making and situation management skills.

Key Responsibilities

• Gathering Project Requirements from Stakeholders along with Business Analysts and Project Managers 

• Break down complex problems and projects into manageable goals

• Handle High severity incident and situation.

• Designing high level Schematics of the infrastructure, tools and process needed 

• Performing and in depth analysis of the possible risk and countermeasures for them

• Create a bridge between development and operations by applying software engineering mindset to system administration topics 

• Configuration management platform understanding and experience (Chef/Puppet/Ansible)

• Release engineering, which involves defining best practices to ensure software releases are consistent and repeatable.

• Alerting, being on-call, and troubleshooting, along with emergency and incident response and postmortems.

• Know how best to monitor systems and react when things go wrong, constantly writing and rewriting response playbooks to reduce the time to fix any breakdown which may occur

• Involves documenting an incident, understanding all contributing root causes, and implementing future preventive actions.

• Highly developed skills in managing 24x7 production support comprising of Incident, Problem, Change management 

• Troubleshooting Support Escalation

• On-Call Process Optimization 

• Documenting Knowledge
• Optimizing SDLC (Software Development Life Cycle)

Technical Requirements

• Strong understanding of cloud-based architecture and cloud operations. Hands-on experience with Azure

• Experience in administration/build/management of Linux systems

• Foundational understanding of Infrastructure and Platform Technology stacks

• Strong understanding of Networking concepts and theories, such as different protocols (TCP/IP, UDP, ICMP, etc), MAC addresses, IP packets, DNS, OSI layers, and load balancing

•  Working knowledge of Infrastructure and Application monitoring platforms

• Understanding of the core DevOps practices (CI/CD pipeline, release management etc.)

• Ability to write code using any one modern programming language (Python, JavaScript, Ruby etc.). Additional scripting skills are preferred

• Prior experience in Cloud management automation tools (Terraform/CloudFormation etc.) is preferred

• Experience with source code management software and API automation is preferred.

• Deep Understanding of architecture and operations of Container Orchestration tools e.g Kubernetes 

• Deep understanding of Know Applications i.e JAVA, Nodejs, Golang

• Deep understanding of Databases and SQL

• Strong understanding of BigData Infrastructure.

•  Understanding of Incident management and Event Register Management

• Knowledge of SDLC methodologies and best practices including Waterfall Process, Agile methodologies, deployment automation, code reviews, and test-driven development

Professional Attributes

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organizational skills

• Visual Thinking

Education : Technical Graduates ( BCA, BSC, B.Tech), MCA, MSC and M.Tech with strong data structure and algorithm Skills Experience : 2 - 4 years

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