Experience Requirements:

• 5 - 7 Years

• 5 – 7 Years of L2 monitoring

Other Requirements:

• Knowledge in monitoring tools such as Zabbix, Nagios, etc

• Knowledge/experience in ticketing systems such as Zoho Desk /JIRA etc

• Strong problem-solving skills, particularly in investigating and analyzing recurring issues.

• Hands-on knowledge of Linux fundamentals, System administration, scripting, performance tuning, etc

• Strong problem-solving skills and ability to think under pressure

• Basic knowledge of cloud environments such as AWS, Azure, Google Cloud, etc

• Basic knowledge of networking, routing and switching

• Communication and documentation skills

Responsibilities:

• Lead the Site reliability engineering team

• Layout schedule and shift plans for the team

• Manage tickets and allocate tasks for team members

• Work collaboratively with peers and management

• Ensure transparent communication with the customer

Experience Requirements:

• 2 - 3 Years

Other Requirements:

• Acquaintance with software development processes and methodologies

• Experience with cloud infrastructure platforms such as AWS, Azure and GCP

• Excellent scripting skills in Bash, Python or Ruby

• Strong problem-solving and troubleshooting skills, with the ability to identify root causes and implement effective solutions.

• Proficiency in configuration management tools such as Ansible, Chef, or Puppet

• Knowledge of security best practices and the ability to implement security controls at the infrastructure level.

• Experience in monitoring tools such as Zabbix, Nagios, etc

• Hands-on knowledge of Linux fundamentals, System administration, performance tuning, etc

• Good knowledge of networking, routing and switching

• Communication and documentation skills

• Knowledge of containerization tools such as Docker, Kubernetes, etc

• Zabbix, Nagios

• Containerization

• AWS, Azure, GCP

• Jenkins

• Sonarqube

• Ansible, Chef, Puppet, etc

Responsibilities:

• Ensure infrastructure scalability, reliability, and security by implementing infrastructure as code (IaC) principles.

• Collaborate with software developers, quality assurance engineers, and IT professionals to guarantee smooth deployment, automation, and software infrastructure management.

• Design and implement CI/CD pipelines for multiple software applications and environments.

• Automate and streamline deployment processes, minimizing manual intervention and improving system efficiency.

• Stay up-to-date with industry trends and emerging technologies, assessing their potential impact and recommending adoption where appropriate.

Experience Requirements:

• 2 - 3 Years

• 2-4 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.

Other Requirements:

• Proficient in data engineering tools and languages such as Python, SQL, and Java.

• Strong knowledge of business intelligence (BI) tools such as Tableau, Power BI or similar for creating reports and dashboards.

• Ability to work with databases(SQL & NoSQL) and perform complex data queries.

• Familiarity with data wrangling, ETL processes and data cleaning techniques.

• Clear understanding of data warehousing & cloud based analytics .

• Ability to apply data insights to influence marketing strategies, sales tactics, and product offerings.

Responsibilities:

• Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.

• Develop and maintain data reports and dashboards using business intelligence tools (e.g., Tableau, Power BI, etc.)

• Collaborate with business teams to understand key business objectives and data needs.

• Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.

• Ensure data models and structures are well-designed to facilitate analysis and reporting.