Anna Nagar Chennai Tamil Nadu It deployment engineer Jobs – 527 Open Jobs Today

IT Deployment Engineer
CogniAI Advanced Research Solutions Private Limited —Perungudi, Chennai, Tamil Nadu
- ₹30,000 - ₹70,000 a month
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
Quick apply
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National Westminster Bank PLC —Chennai, Tamil Nadu
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Navat Technology LLC —Chennai, Tamil Nadu
- ₹10,00,000 - ₹18,00,000 a year
- Full-time
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DHL —Chennai, Tamil Nadu
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OneMagnify —Chennai, Tamil Nadu
- Full-time
- Master's degree
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Vega IntelliSoft Private Limited —Chennai, Tamil Nadu
- ₹18,00,000 - ₹23,00,000 an hour
- Oracle
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DHL —Chennai, Tamil Nadu
- Microsoft Powerpoint
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Renovision Automation Services Pvt. Ltd —Chennai, Tamil Nadu
- ₹25,000 - ₹30,000 a month
- Full-time
- Microsoft Excel
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BSRI Solutions —Chennai, Tamil Nadu
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Infotel UK —Chennai, Tamil Nadu
- Azure
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- Master's degree
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.NET Developer (Fresher)
Syncfusion, Inc. —Chennai, Tamil Nadu
- Remote
- Azure
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IT Deployment Engineer

CogniAI Advanced Research Solutions Private Limited
Perungudi, Chennai, Tamil Nadu

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Job details

Full-time
₹30,000 - ₹70,000 a month
5 hours ago

Benefits

Provident Fund
Health insurance

Qualifications

BCS
CI/CD
Cloud infrastructure
Azure
Go
Node.js
Computer Science
Kubernetes
Software deployment
DevOps
Git
Google Cloud Platform
Research
Java
Bash (Unix shell)
Microservices
RBAC
Firewall
AWS
Docker
Bachelor's degree
SSL
Terraform
Continuous integration
Scripting
DNS
GitHub
Linux
AI
Jenkins
GitLab
Python
NGINX
Information Technology

Full job description

Job Description – Production Deployment Engineer

Company: CogniAI Advanced Research Solutions Pvt. Ltd.
Position: Production Deployment Engineer
Location: Perungudi, Chennai (Work from Office)
Department: Engineering / DevOps
Employment Type: Full-Time
Experience: 4+ Years

About CogniAI

CogniAI Advanced Research Solutions Pvt. Ltd. is an AI-first technology company delivering innovative solutions across Healthcare, Government, Enterprise Automation, and Civil Engineering. Our products leverage Artificial Intelligence, Cloud Computing, and Automation to build scalable, secure, and intelligent enterprise platforms.

We are looking for a highly skilled Production Deployment Engineer to own the reliability, scalability, and efficiency of our software deployment process. This role bridges software engineering and cloud infrastructure, ensuring applications move seamlessly from development to production while maintaining high availability, security, and performance.

Position Summary

As a Production Deployment Engineer, you will be responsible for designing and managing deployment pipelines, container orchestration, cloud infrastructure, and production environments. You will work closely with software engineers, AI engineers, QA teams, and product managers to ensure reliable, automated, and secure software releases.

Key Responsibilities

Design, build, and maintain scalable CI/CD pipelines for automated application deployments.
Manage containerized applications using Docker and orchestrate workloads using Kubernetes.
Implement deployment strategies such as Blue-Green, Canary, and Rolling Deployments to minimize production risk.
Automate infrastructure provisioning using Infrastructure-as-Code tools such as Terraform, Helm, or similar.
Collaborate with development teams to ensure applications are production-ready, scalable, secure, and observable.
Monitor production environments using modern observability tools and define service reliability metrics (SLIs/SLOs).
Improve deployment speed, system reliability, and operational efficiency while reducing deployment failures.
Implement automated testing, security scanning, vulnerability management, and rollback mechanisms within deployment pipelines.
Troubleshoot production issues, perform root cause analysis, and participate in incident response and post-incident reviews.
Configure monitoring, logging, alerting, and performance dashboards for production systems.
Maintain deployment documentation, runbooks, disaster recovery plans, and operational procedures.
Ensure production environments follow security, compliance, and best DevOps practices.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
4+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Production Deployment.
Strong hands-on expertise with Docker, including image optimization, multi-stage builds, image security, and registry management.
Extensive experience with Kubernetes, including Deployments, Services, Ingress Controllers, RBAC, ConfigMaps, Secrets, Persistent Storage, Autoscaling (HPA/VPA), and cluster troubleshooting.
Experience building CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, Azure DevOps, or similar tools.
Proficiency in at least one programming or scripting language such as Python, Go, Node.js, Java, or Bash.
Hands-on experience with AWS, Microsoft Azure, or Google Cloud Platform.
Experience with Infrastructure-as-Code tools such as Terraform, Helm, Pulumi, or CloudFormation.
Strong understanding of networking concepts including DNS, Load Balancers, TLS/SSL, Reverse Proxies, Firewalls, and Secrets Management.
Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or OpenTelemetry.
Strong Linux administration and troubleshooting skills.

Preferred Qualifications

Certified Kubernetes Administrator (CKA) or equivalent certification.
Experience implementing GitOps workflows using ArgoCD or Flux.
Knowledge of service mesh technologies such as Istio or Linkerd.
Experience supporting AI/ML platforms or cloud-native microservices.
Familiarity with database migration strategies and zero-downtime deployments.
Experience managing high-availability, mission-critical production environments.
Contributions to open-source DevOps, Kubernetes, or cloud-native projects.

Technical Skills

Docker
Kubernetes
Helm
Terraform
GitHub Actions
GitLab CI/CD
Jenkins
ArgoCD
Azure DevOps
AWS / Azure / GCP
Linux
Bash
Python
Go
Prometheus
Grafana
ELK Stack
OpenTelemetry
NGINX
Git

Why Join CogniAI?

Work on cutting-edge AI and cloud-native enterprise platforms.
Build and manage scalable Kubernetes-based production environments.
Collaborate with AI engineers, software developers, and cloud architects.
Opportunity to implement modern DevOps, GitOps, and automation practices.
Competitive salary, continuous learning opportunities, and career growth in a fast-growing AI company.

Pay: ₹30,000.00 - ₹70,000.00 per month

Benefits:

Health insurance
Provident Fund

Work Location: In person

Quick apply

Refine Your Search

it deployment engineer jobs in anna nagar chennai tamil nadu

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