On-Site
Full-Time
Noida, Uttar Pradesh
India
Skills
Amazon Web Services (AWS)
Kubernetes
Docker Products
About the Role
About Us:
Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology
About the Role:
As a Senior DevOps Engineer, you will be responsible for driving continuous integration and deployment (CI/CD), managing cloud-based infrastructure, and ensuring high availability, scalability, and security of our applications. You will work with automation tools, observability solutions, and AI-driven enhancements to optimize DevOps workflows and improve operational efficiency. This role requires deep expertise in cloud cost optimization, infrastructure as code (IaC), monitoring, and zero-downtime deployments.
Expectations/Requirements:
3-5 years of overall experience, with at least 3 years in DevOps.
Cloud expertise: AWS (Preferred) / Azure / Google Cloud.
Infrastructure as Code (IaC): Hands-on experience with Terraform for cloud resource provisioning.
CI/CD & Deployment Pipelines:
Experience with Jenkins, Bamboo, GitLab CI/CD.
Expertise in Zero Downtime Deployment strategies.
Strong knowledge of GitOps practices using ArgoCD.
Containerization & Orchestration:
Experience with Docker & Kubernetes (EKS/GKE/AKS).
Monitoring & Observability:
Strong experience with ELK Stack (Elasticsearch, Logstash, Kibana) for logging and observability.
Experience with Grafana & Prometheus for system monitoring.
Messaging & Caching Systems:
Experience managing Kafka (production-level clusters).
Hands-on expertise in Redis (production-level clusters).
Scripting & Automation:
Python scripting for automation (preferred).
AI & Automation Tools:
Experience leveraging AI tools (ChatGPT, GitHub Copilot, etc.) to automate routine DevOps tasks and improve productivity.
Ability to integrate AI-driven solutions into DevOps workflows.
Cloud Cost Optimization:
Strong understanding of cost-saving best practices for cloud infrastructure.
Ability to mentor junior engineers and collaborate with cross-functional teams.
Superpowers/Skills That Will Help You Succeed in This Role:
High level of drive, initiative, and self-motivation.
Strong problem-solving skills with a growth mindset.
Excellent communication and stakeholder management.
Passion for automation and AI-driven efficiencies.
Willingness to experiment, innovate, and continuously improve.
Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology
About the Role:
As a Senior DevOps Engineer, you will be responsible for driving continuous integration and deployment (CI/CD), managing cloud-based infrastructure, and ensuring high availability, scalability, and security of our applications. You will work with automation tools, observability solutions, and AI-driven enhancements to optimize DevOps workflows and improve operational efficiency. This role requires deep expertise in cloud cost optimization, infrastructure as code (IaC), monitoring, and zero-downtime deployments.
Expectations/Requirements:
3-5 years of overall experience, with at least 3 years in DevOps.
Cloud expertise: AWS (Preferred) / Azure / Google Cloud.
Infrastructure as Code (IaC): Hands-on experience with Terraform for cloud resource provisioning.
CI/CD & Deployment Pipelines:
Experience with Jenkins, Bamboo, GitLab CI/CD.
Expertise in Zero Downtime Deployment strategies.
Strong knowledge of GitOps practices using ArgoCD.
Containerization & Orchestration:
Experience with Docker & Kubernetes (EKS/GKE/AKS).
Monitoring & Observability:
Strong experience with ELK Stack (Elasticsearch, Logstash, Kibana) for logging and observability.
Experience with Grafana & Prometheus for system monitoring.
Messaging & Caching Systems:
Experience managing Kafka (production-level clusters).
Hands-on expertise in Redis (production-level clusters).
Scripting & Automation:
Python scripting for automation (preferred).
AI & Automation Tools:
Experience leveraging AI tools (ChatGPT, GitHub Copilot, etc.) to automate routine DevOps tasks and improve productivity.
Ability to integrate AI-driven solutions into DevOps workflows.
Cloud Cost Optimization:
Strong understanding of cost-saving best practices for cloud infrastructure.
Ability to mentor junior engineers and collaborate with cross-functional teams.
Superpowers/Skills That Will Help You Succeed in This Role:
High level of drive, initiative, and self-motivation.
Strong problem-solving skills with a growth mindset.
Excellent communication and stakeholder management.
Passion for automation and AI-driven efficiencies.
Willingness to experiment, innovate, and continuously improve.
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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