Devops Engineer (Walk-in drive in Chennai Location)
Experience: 5 years to 10 years
Work location: Bangalore
Interview location: Chennai
Interview date: 8th Mar 2025
Interview Model: Full day Hackathon
Job Description:
DevOps/Cloud -
- CI/CD Practices
- Key Metrics (DORA)
- Security Vulnerability Tools (SonarQube, Nexus, Prisma)
- Cloud Models (GenAI / ML)
- Cloud Platform Services (AWS Or Azure)
Scripting (Any One)
Linux Commands and Shell/Bash Scripting
Competencies for Evaluation
Linux daily usage commands
Automation scripts - Preferable
CI and CD tools
Github Actions or Azure DevOps or AWS Codebuild or Gitlab CI or Circle CI
Competencies for Evaluation
- Build and Release Pipeline/ Pipeline scripting/ Multibranch pipeline
- Artifacts/Release/Deployment Gates - Overview
Containers / Build
Docker or equivalent Container Runtime - Build,Ship,Run
Competencies for Evaluation
- Virtualization vs Containerization
- maven, gradle, npm, yarn
- Creating images with Dockerfile/Multistage Builds/Docker Compose
- Docker Volumes / Networking - Overview
Kubernetes or AKS or EKS or GKE or Openshift or AWS ECS Fargate
Competencies for Evaluation
- 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
Source code Repository
Knowledge of DVCS - GitHub
- Git Commands
- Branching and Merging
- Branching Strategies - Overview
IaaC
Ansible
Competencies for Evaluation
Playbooks, inventories, roles, variables, Troubleshooting
Terraform / CloudFormation.
Competencies for Evaluation
Terraform workflow, implement and maintain state - remote backend
Providers, provisioners, resource and data configuration, registry,
usage of variables and outputs
ML Ops
MLOps: (GOOD TO HAVE)
Competencies for Evaluations:
- Model Promotion Criteria
- Model Data Pipelines for Training & Criteria
- Experience with Kubeflow
- CI/CD for both Model and Data
Data & Languages
Databases: NoSQL DB/ Hadoop / Vector DB
Competencies for Evaluations:
- Basic Knowledge in regarsd to DB
- Basic Knowledge in regards to Python
Observability
Knowledge of Monitoring/SaaS Tools for APM, Infrastructure Monitoring
Competencies for Evaluation
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
DevOps Certifications on AWS, Azure or GCP
Platform Engineering
Interested candidates can directly come for the Face-to-face discussion and also can share your resume to nirmala_k@hcltech.com
Contact person name: Nirmala K
Email ID: nirmala_k@hcltech.com
Venue:
HCL TECH
Elcot SEZ, Sholinganallur
Refer your friends as well.
