AWS DevOps Engineer - Docker/Kubernetes (5-20 yrs)

AWS DevOps Engineer_F2F at Chennai Location on 8th March Application Deadline is 6th March

Location : HCL Technologies - Chennai 138, 602/3, Medavakkam High Road, Elcot Sez, Sholinganallur, Chennai, Tamil Nadu 600119

Work Location : Bangalore The candidate is ready to work at the Bangalore location by relocating.

Mode of Working : Work From Office/Hybrid

Days of Working : 5 days

Responsibilities :

Skill :

DevOps/Cloud :

- CI/CD Practices

Key Metrics (DORA) :

- Security Vulnerability Tools (SonarQube, Nexus, Prisma)

- Cloud Platform Services (AWS Or Azure)

Good to Have :

- Strong Knowledge Cloud AWS (Mandate)/Azure.

Scripting (Any One) :

- Linux Commands and Shell/Bash

Scripting :

- Linux daily usage commands

- Automation scripts - Preferable

CI and CD tools :

- Github Actions or Azure DevOps or AWS Code build or Gitlab CI or Circle CI

- Build and Release Pipeline/ Pipeline scripting/ Multibranch pipeline

- Artifacts/Release/Deployment Gates

Strong Experience on :

- Docker or equivalent Container Runtime

Build, Ship, Run :

Virtualization vs Containerization :

- Maven, gradle, npm, yarn

- Creating images with Docker file/Multistage

- Builds/Docker Compose - Docker Volumes / Networking

Overview :

- Kubernetes or AKS or EKS or GKE or Openshift or AWS ECS Fargate

- Basic Architecture of a Kubernetes cluster

- Managing Application Deployment/K8s

Workloads Overview - Service discovery and Networking (including Ingress) :

- ConfigMap, High Availability, Pod Distribution, Persistent Volumes

Knowledge of DVCS - GitHub :

- Git Commands

- Branching and Merging

- Branching Strategies - Overview

Ansible : Playbooks, inventories, roles, variables :

- Troubleshooting

- Terraform/CloudFormation/ARM.

- Terraform workflow, implement and maintain state remote backend

- Providers, provisioners, resource and data

- Strong Knowledge in Terraform/Ansible configuration, registry, usage of variables and outputs

Data Ops :

DataOps (GOOD TO HAVE) :

Competencies for Evaluations :

- Model Data Pipelines CICD

- Experience with Data Governance, Security

- CI/CD for both Model and Data

Data & Languages :

- Azure Data Factory/ Databricks/Airflow

- Basic Knowledge in regard to Python

Observability :

- Knowledge of Monitoring/SaaS Tools for APM, Infrastructure Monitoring

- Monitoring vs Observability (CloudWatch /ELK/ Prometheus / Grafana / Alerts)

- Telemetry Data/Golden Metrics

- Incidence management and root cause analysis

Troubleshooting :

- Analyze Linux Logs, Logs

- Investigating Performance Issues

Certification (good to have) :

- DevOps Certifications on AWS, Azure or GCP

Interview process : Face to Face on March 1st 2025

Any other additional Information : Will have to Relocate to Bangalore Later