Support Analyst

About Data Axle

Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.

 

Data Axle India is recognized as a Great Place to Work! This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive

Role Overview

We are building a reliability-driven operations model and are looking for a Site Reliability Engineer (L2) to support and engineer production resilience across a hybrid infrastructure (AWS + On-Prem).

This role is ideal for a strong L2 operations engineer who wants to move beyond reactive support and contribute to automation, reliability engineering, and production stability at scale.

The primary objective of this role is to reduce MTTR, eliminate repetitive incidents through automation, and improve uptime across business-critical systems.

L2:4–6 years of experience in IT Operations / Production Support / SRE

Key Responsibilities

Production Reliability & Incident Management

• Manage L2 production incidents across AWS and on-prem environments
• Perform structured Root Cause Analysis (RCA)
• Drive permanent fixes to recurring issues
• Participate in on-call rotation 24*7
• Critical Incident Management

Automation & Engineering

• Develop scripts (Python / PowerShell / Bash) to automate repetitive tasks
• Contribute to self-healing automation initiatives
• Improve monitoring coverage and reduce alert noise
• Maintain and enhance operational runbooks

Infrastructure & Cloud Operations

• Support AWS services (EC2, RDS, VPC, IAM, CloudWatch)
• Manage Linux and Windows servers
• Assist in patching, backup validation, and system health management
• Collaborate on Infrastructure-as-Code initiatives (Terraform/Ansible preferred)

Monitoring & Observability

• Work with monitoring tools (Zabbix/ Datadog / AppDynamics / Splunk / Prometheus or similar)
• Tune alerts to reduce false positives
• Create dashboards for service visibility
• Track SLO/SLI metrics for Tier-1 applications

Continuous Improvement

• Identify high-frequency operational issues and propose automation
• Contribute to reliability KPIs (MTTR, uptime, incident recurrence)
• Support capacity planning and performance optimization

Qualifications

Required Skills & Experience

Technical Skills

• Strong Linux administration skills
• Good understanding of Windows Server environments
• Hands-on experience with AWS core services (EC2, RDS, VPC, IAM)
• Scripting experience (Python / PowerShell / Bash)
• Experience with monitoring and log analysis tools
• Basic networking knowledge (DNS, Load Balancer, Firewall concepts)
• Understanding of incident and change management processes

Preferred Skills

• Experience with automation tools (Ansible, Terraform)
• Familiarity with CI/CD pipelines
• Exposure to hybrid infrastructure environments
• Knowledge of SLO/SLI concepts
• Experience handling legacy applications

Key Behavioural Competencies

• Strong troubleshooting mindset
• Automation-first thinking
• Ownership of production stability
• Clear documentation discipline
• Ability to work under pressure in production environments
• Collaborative approach across engineering and operations teams 

Career Growth Opportunity

This role is part of a strategic SRE transformation initiative. High performers will have opportunities to:

• Lead automation initiatives
• Own reliability domains (Cloud / On-Prem / Observability)
• Transition into Senior SRE / Reliability Lead roles 

Why Join This Role?

• Be part of a structured reliability transformation
• Move from reactive support to engineering-led operations
• Work across hybrid infrastructure (Cloud + Data Center)
• Contribute to measurable uptime and cost optimization goals

Disclaimer

 

Data Axle India follows a merit-based employee recruitment practice with extensive screening steps. Data Axle India does not charge/accept any amount or security deposit from job seekers during the recruitment process. Job Seekers are requested to be aware of unsolicited or fraudulent communication regarding a job offer or an interview call against payment of money, please stay alert. All Data Axle India jobs are published on the Careers page of its website and/or on its LinkedIn profile. Interested job seekers may access the same and apply directly. If you believe you have been a victim of recruitment fraud, you are requested to approach law enforcement agencies immediately