DevOps Engineer

ACL Digital; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

ACL Digital is seeking an experienced DevOps/SRE engineer in Bengaluru to architect, automate, and scale cloud infrastructure using AWS and Kubernetes. You will build robust CI/CD pipelines with Jenkins and drive Infrastructure as Code with Terraform/CloudFormation.

You will also lead production monitoring, incident response, and root-cause analysis across microservice architectures, leveraging Grafana, Prometheus, Datadog, and Splunk.

Qualifications

• 6 to 10 years of experience in relevant field.
• Mandatory skills include AWS, Kubernetes, DevOps, CI/CD, Jenkins, IaC and incident management.
• Experience with AI/GenAI tools to automate log analysis and improve incident response.

Responsibilities

• Architect, automate, and scale cloud infrastructure using AWS and Kubernetes.
• Build CI/CD pipelines (Jenkins) and implement IaC with Terraform/CloudFormation.
• Lead production monitoring, incident response, and root cause analysis across microservice architectures.
• Implement observability using Grafana, Prometheus, Datadog, and Splunk.
• Leverage AI/GenAI tools to automate log analysis and reduce alert noise.

Skills

AWS

Kubernetes

DevOps

CI/CD

Jenkins

IaC

Incident Management

Python / Shell Scripting

AI in DevOps

SRE Practices

Tools

Grafana

Prometheus

Datadog

Splunk

Terraform

CloudFormation

Job description

Experience: 6 to 10 Years

Interview Mode : Face to Face on 22nd September

Mandatory Skills: AWS | Kubernetes | DevOps | CI/CD | Jenkins | IaC | Incident Management | Python / Shell Scripting | AI in DevOps | SRE Practices

Key Responsibilities:

• Architect, automate, and scale cloud infrastructure using AWS & Kubernetes.
• Build robust CI/CD pipelines (Jenkins) and drive Infrastructure as Code (IaC) using Terraform/CloudFormation.
• Lead production monitoring, incident response, and root cause analysis across microservice architectures.
• Implement observability solutions using Grafana, Prometheus, Datadog, and Splunk.
• Leverage AI/GenAI tools to automate log analysis, reduce alert noise, and improve incident response workflows