Site Reliability Engineer

SourcingXPress; Maharashtra; On-site; INR 700,000 - 1,800,000; Full time

Job summary

EOV Digital Solutions Pvt Ltd in India seeks an experienced Site Reliability Engineer (SRE) to design and scale AI-powered reliability across cloud-native AWS environments. You will own end-to-end reliability strategy, automation, and proactive engineering to ensure high availability and performance.

You will implement Terraform/CloudFormation, build dashboards with OpenTelemetry, Grafana, and Datadog, and apply SRE best practices including SLIs, SLOs and RCAs, collaborating with DevOps,

Qualifications

• 5–8 years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure Engineering.
• Hands-on experience with AWS services (EC2, ECS/EKS, Lambda, VPC, IAM, CloudWatch, RDS, Route 53, S3).
• Experience with OpenTelemetry, Grafana, Datadog, Prometheus or similar monitoring platforms.
• Strong Linux administration, networking, and performance troubleshooting skills.
• Experience with Infrastructure as Code: Terraform or CloudFormation.
• Scripting in Python, Bash, or Go.
• Experience with Kubernetes and containerized workloads.
• Knowledge of CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
• Experience leading incident management, production support, and RCA processes.
• Knowledge of SRE principles including SLIs, SLOs, and Error Budgets.

Responsibilities

• Design, implement, and manage highly available cloud infrastructure on AWS.
• Build and maintain a complete observability platform using Open Telemetry, Grafana, Datadog, CloudWatch.
• Implement AIOps capabilities including LLM-assisted incident triage and ML-driven forecasting.
• Lead production incident management, on-call response, postmortems, and RCA.
• Automate workflows using Terraform/CloudFormation and CI/CD pipelines.
• Drive capacity planning, cost optimization, and rightsizing of infrastructure.
• Build dashboards, SLOs, SLIs, and error budgets for reliability.
• Develop automation scripts in Python, Bash, or Go to reduce manual tasks.
• Monitor health of applications and infrastructure; ensure high uptime and performance.
• Collaborate across Development, DevOps, Security, and Platform Engineering teams across time zones.
• Establish best practices for monitoring, incident response, disaster recovery, and resilience.

Skills

SRE Experience

AWS Expertise

Linux Admin

CI/CD

Tools

Open Telemetry

Grafana

Datadog

Prometheus

Terraform

CloudFormation

Kubernetes

GitHub Actions

Jenkins

GitLab CI

Job description

Site Reliability Engineer (SRE) – AI & Cloud Infrastructure

We are looking for an experienced Site Reliability Engineer (SRE) to build and scale AI-powered reliability capabilities from the ground up. In this role, you will drive modern observability, automation, and cloud reliability initiatives while leveraging AI/ML for incident management, forecasting, and infrastructure optimization.

You will own the end-to-end reliability strategy across cloud-native AWS environments, enabling high availability, performance, and operational excellence through automation, intelligent monitoring, and proactive engineering.

Company: EOV Digital Solutions Pvt Ltd

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Small/Medium Business

Company Type: Product & Service

Business Model: B2B

Funding Stage: Private Equity

Industry: Information Technology

Salary Range: ₹ 7-18 Lacs PA

Key Responsibilities

• Design, implement, and manage highly available, scalable, and secure cloud infrastructure on AWS.
• Build and maintain an end-to-end observability platform using Open Telemetry, Grafana, Datadog, CloudWatch, and related tools.
• Implement AIOps capabilities, including:
  • LLM-assisted incident triage
  • AI-powered root cause analysis
  • ML-driven forecasting and anomaly detection
  • Intelligent alert correlation and noise reduction
• Lead production incident management, on-call response, postmortems, and Root Cause Analysis (RCA).
• Automate operational workflows using Infrastructure as Code (Terraform/CloudFormation) and CI/CD pipelines.
• Drive infrastructure rightsizing, capacity planning, utilization analysis, and cloud cost optimization.
• Build dashboards, SLOs, SLIs, and error budgets to improve service reliability.
• Develop automation scripts using Python, Bash, or Go to eliminate manual operational tasks.
• Monitor application and infrastructure health while ensuring high uptime and service performance.
• Collaborate with Development, DevOps, Security, Platform Engineering, and Product teams across multiple time zones.
• Establish operational best practices for monitoring, incident response, disaster recovery, and resilience engineering.
• Maintain Linux-based production systems and troubleshoot OS, networking, storage, and performance issues.

Required Skills & Qualifications

• 5–8 years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure Engineering.
• Strong experience with AWS services including EC2, ECS/EKS, Lambda, VPC, IAM, CloudWatch, RDS, Route 53, S3, and Auto Scaling.
• Hands-on experience with Open Telemetry, Grafana, Datadog, Prometheus, or similar monitoring platforms.
• Strong knowledge of Linux administration, networking, system performance tuning, and troubleshooting.
• Experience with Infrastructure as Code using Terraform or CloudFormation.
• Proficiency in scripting using Python, Bash, or Go.
• Experience with Kubernetes and containerized workloads.
• Strong understanding of CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.).
• Experience leading incident management, production support, and RCA processes.
• Knowledge of SRE principles including SLIs, SLOs, and Error Budgets.
• Experience implementing monitoring, logging, alerting, and observability frameworks.
• Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications

• Experience building or implementing AIOps solutions.
• Exposure to Large Language Models (LLMs) for operational automation.
• Experience with machine learning-based forecasting or anomaly detection.
• Hands-on experience administering Adobe Experience Manager (AEM).
• Experience managing Cloudflare CDN, WAF, DNS, and caching strategies.
• Knowledge of FinOps, cloud cost optimization, and capacity planning.
• AWS Solutions Architect, DevOps Engineer, or Kubernetes certifications are a plus.