Site Reliability Engineering (SRE)

Lyzr AI; Bengaluru; Hybrid; INR 1,000,000 - 2,000,000; Full time

Job summary

Lyzr AI is looking for a Site Reliability Engineer with 2-5 years of experience in SRE, DevOps, or Systems Engineering, focusing on AWS. In this role, you'll manage production systems, ensure high availability, and lead incident management efforts. You'll also design Disaster Recovery strategies, work with cloud tools like Terraform and Kubernetes, and automate operational tasks. Ideal candidates should have a strong understanding of cloud costs and be flexible with working hours to accommodate various time zones.

Qualifications

• 2-5 years in SRE, DevOps, or Systems Engineering roles.
• Experience in Hybrid Cloud environments.
• Knowledge of container orchestration like Kubernetes.

Responsibilities

• Own production systems' health and lifecycle to ensure availability.
• Lead Root Cause Analysis for outages.
• Design and manage Disaster Recovery strategies.

Skills

SRE, DevOps, Systems Engineering experience

Expert-level knowledge of AWS

Strong proficiency in Python or Shell/Bash

Experience with AWS Cost Explorer

Hands-on experience with Grafana, Prometheus

Tools

Terraform

CloudFormation

PostgreSQL

MySQL

DynamoDB

Job description

Job Title: Site Reliability Engineering (SRE)

Location : Preferred Onsite ,Remote is OK

Experience: 2-5 Years

Technical Qualifications

Must-Have Skills

• Experience: 2-5 years in SRE, DevOps, or Systems Engineering roles with a strong focus on AWS.
• Cloud Proficiency: Expert-level knowledge of AWS core services and architecture standards.
• Scripting: Strong proficiency in Python or Shell/Bash for automation.
• Cost Tools: Experience with AWS Cost Explorer, Trusted Advisor, or 3rd party tools (e.g., Cloud Health) to drive financial efficiency.
• Monitoring: Hands‑on experience with tools like Grafana, Prometheus, ELK Stack, or Splunk.

Preferred Qualifications

• Experience in Hybrid Cloud environments (AWS + On-Prem/Data Center).
• Knowledge of container orchestration (Kubernetes/EKS).
• Understanding of database administration and replication (PostgreSQL, MySQL, or DynamoDB).

System Ownership & Reliability

• End-to-End Ownership: Own the health and lifecycle of production systems, ensuring high availability (HA) and meeting strict Service Level Objectives (SLOs).
• Deep-Dive Debugging: Troubleshoot and resolve complex issues across infrastructure, application code, and networking layers. You will be the escalation point for hard‑to‑solve production incidents.
• Incident Management: Lead Root Cause Analysis (RCA) processes for outages, driving permanent fixes and architectural changes to prevent recurrence.

Operational Excellence & Security

• Disaster Recovery (DR): Design and manage DR strategies; conduct periodic failover drills to ensure business continuity.
• Security & Compliance: Oversee OS patching, vulnerability scanning, and adherence to industry compliance standards (SOC2/HIPAA/ISO). Maintain strict IAM policies and security groups.
• Observability: Build and maintain comprehensive monitoring, logging, and alerting frameworks (CloudWatch, Prometheus, Datadog) to ensure early detection of anomalies.
• Maintenance: Define and maintain backup/restore processes and routine maintenance windows with minimal downtime.

SRE & Automation

• Eliminate Toil: Apply SRE principles to automate repetitive operational tasks, reducing manual intervention.
• IaC & Tooling: Develop automation tools and manage infrastructure using Terraform or CloudFormation, along with scripting in Python, Go, or Bash.
• Self‑Healing Systems: Implement auto‑remediation workflows where systems can detect and resolve common issues (e.g., restarting failed services, rotating bad nodes) without human intervention.
• Performance Tuning: Optimize application runtime parameters, database queries, and system kernel settings for maximum throughput.
• AWS Management: Architect and manage extensive AWS services—EC2, EKS/ECS, RDS, S3, Lambda, VPC, and Route53.
• Cost Efficiency: Actively monitor cloud spend and drive Cost Optimization initiatives. This includes rightsizing instances, managing Reserved/Spot instances, and identifying idle resources to reduce waste.
• Capacity Planning: Collaborate with engineering teams to forecast infrastructure needs, ensuring we scale to meet demand without over‑provisioning.
• Global Flexibility: We work with clients across IST, GMT, and EST time zones. You must be flexible with your working hours to accommodate project‑specific deployments, overlapping meetings, or on‑call rotations.
• Team Player: Willingness to help out with other cloud‑related workloads (even outside your primary AWS focus) when the team is under pressure.
• Detective Mindset: You are relentless when debugging and won't stop until you find the root cause.
• Financial Awareness: You treat cloud resources as real money and take pride in running a lean, efficient infrastructure.