Delhi Zoo, Delhi Devops engineer Jobs – 111 Open Jobs Today

Senior Devops Engineer
Attentive.ai —Delhi, Delhi
- DevOps
- AWS
- Scripting
Quick apply
AWS Cloud DevOps Lead
Luxoft —Noida, Uttar Pradesh
- DevOps
- English
- AWS
MLOps Engineer
NTT DATA —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
DevOps Engineer
Techferry —Noida, Uttar Pradesh
- Azure
- AWS
MLOps Engineer
NTT Ltd —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
SME - Jenkins,Windows PowerShell
HCLTech —Noida, Uttar Pradesh
- Azure
- DevOps
- Windows
2d
SeniorAdministrator - Jenkins,Windows PowerShell
HCLTech —Noida, Uttar Pradesh
- Azure
- DevOps
- Windows
2d
Devops Engineer
Tradeboox —Delhi, Delhi
- English
- Databases
- AWS
Software Engineer III- Eng
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- Software troubleshooting
Senior/Lead Azure DevOps Engineer
Luxoft —Noida, Uttar Pradesh
- Azure
- Software troubleshooting
- English
2d
Senior AI Automation Engineer – Agentic AI (Python)
Precisely Inc. —Noida, Uttar Pradesh
- Azure
- Computer Science
- B.Sc
- Work from home
Senior Software Engineer
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- AWS
DevOps Intern
Fusionpact Career —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Computer Science
- B.Sc
- Flexible schedule
Quick apply
Python Senior Developer - DevOps
HCLTech —Noida, Uttar Pradesh
- DevOps
- AWS
- Analysis skills
1d
BIG DATA DEV OPS ENGINEER
Gtropy Systems —Delhi, Delhi
- DevOps
- Scripting
- Linux
Azure Administration
i2k2 Networks —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Linux
Jenkins/Cloudbees Admin
Amrut Software —Noida, Uttar Pradesh
- Full-time
- DevOps
- Java
- APIs

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DevOps Intern
Fusionpact Career —Noida, Uttar Pradesh
Mentorship from experienced DevOps engineers and industry experts. Flexible working hours and remote work opportunity.
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BSI Financial Services —Gurugram, Haryana
As a Software Engineering Intern, you will take a working proof-of-concept and push it to MVP, then work toward an enterprise-grade product.
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Senior Devops Engineer

Attentive.ai -
Delhi, Delhi

Quick apply

Job details

Qualifications

Jira
CI/CD
Cloud infrastructure
Cloud architecture
Kubernetes
Ansible
Load balancing
DevOps
Configuration management
Git
AWS Certified Solutions Architect – Associate
Bash (Unix shell)
AWS
Docker
Confluence
Distributed systems
Terraform
Continuous integration
New Relic
Scripting
DNS
GitHub
Linux
AI
Groovy
Jenkins
GitLab
Python
High availability
Identity & access management

Full job description

About Us :

Attentive.ai is a fast-growing vertical SaaS start-up, funded by Peak XV (Surge), InfoEdge, Insight Partners, Vertex Ventures, and Tenacity Ventures that provides innovative software solutions for the landscape, paving & construction industries in the United States. Our mission is to help businesses in this space improve their operations and grow their revenue through our simple & easy-to-use software platforms.

Position Description:

We are looking for a DevOps Engineer to join our engineering team and help us develop and expand various our internal pipelines and infrastructure As a DevOps Engineer at Attentive, you will be working closely with different engineering, AI, testing, and product teams to improve and expand their workflows and cloud resources. We offer an inspiring environment full of young people with a lot of ambition. You get the freedom to implement your own designs, solutions, and creativity

Roles & Responsibilities:

Define and own the overall DevOps architecture, including CI/CD pipelines, infrastructure topology, deployment strategies, and platform engineering standards across the organization.
Design and architect cloud-native infrastructure on GCP/AWS, ensuring high availability and scalability.
Establish observability and reliability frameworks—knowledge of monitoring, alerting, logging, and tracing strategies using tools such as GCP Cloud Operations (Stackdriver), New Relic, ELK/OpenSearch, Prometheus, and Grafana.
Design and implementation of Infrastructure as Code (IaC) strategies using Terraform, Ansible, and related tooling; enforce modularity, reusability, and governance across IaC repositories.
Architect end-to-end CI/CD ecosystems—Design automated pipelines for building, testing, releasing, and rolling back applications; evaluate and standardise tooling (Jenkins, GitHub Actions, ArgoCD, etc.).
Drive the containerization and orchestration strategy — Design and implement solutions using Docker and Kubernetes (GKE/EKS), including service mesh, ingress, secrets management, and multi-cluster topologies.
Evaluate, recommend, and govern new tools, platforms, and technologies to continuously improve the DevOps ecosystem.
Create and maintain architectural documentation, runbooks, decision records (ADRs), and reference architectures for infrastructure and platform services.

Requirements:

4–8 years of overall experience in DevOps, Cloud Engineering, or Platform Engineering.
Expertise in cloud platforms — GCP (preferred) and/or AWS, including networking (VPC, load balancing, DNS), IAM, security, and multi-region architecture.
Strong proficiency in scripting and automation — Python, Groovy, and Bash; ability to build custom tooling and integrations.
Knowledge of IaC — Terraform (module design, state management, workspaces), Ansible, and configuration management at scale.
Extensive experience architecting CI/CD pipelines — Jenkins, GitHub Actions, ArgoCD or equivalent; including multi-environment promotion and rollback strategies.
Advanced experience with containers and orchestration — Docker, Kubernetes (GKE/EKS), Helm, Kustomize, service mesh (Istio/Linkerd).
Strong understanding of Linux systems, networking fundamentals, and distributed systems concepts.
Experience designing and enforcing DevSecOps practices — shift-left security, vulnerability management.
Working knowledge of developer platforms and tooling — GitHub/GitLab, JIRA, Confluence, artifact registries, and secret management (Vault, GCP Secret Manager).

Good to Have:

Experience designing serverless architectures (Cloud Functions, Cloud Run).
Familiarity with MLOps pipelines and tooling — Vertex AI, Kubeflow, MLflow, or equivalent; understanding of model training, serving, and monitoring workflows.
Experience with GitOps methodologies and tools (ArgoCD, Flux)..
Knowledge of AI tools OpenAI, Claude, Gemini
Experience with multi-cloud or hybrid-cloud architectures.
Relevant certifications such as GCP Professional Cloud Architect, AWS Solutions Architect, CKA/CKAD, or Terraform Associate/Professional

Quick apply

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devops engineer jobs in delhi zoo, delhi

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