Pavago

Staffing and Recruiting

DevOpsEngineer

₹15–25L ~AI est. Remote FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“DevOps Engineer at Pavago. Skills: DevOps, Cloud Infrastructure, CI/CD, Kubernetes. Provision cloud infrastructure. Configure cloud infrastructure”

What You'll Achieve.

System uptime ≥ 99.9%; Faster deployment frequency; Reliable deployment frequency; Reduced MTTR; Infrastructure cost optimization; Infrastructure efficiency improvements; Deployment success rate; Rollback reduction

Industry & Context.

Staffing and Recruiting
Problems you'll solve

Problem solver; Troubleshooting; Root cause analysis; Analytical; Methodical

Eligibility Requirements

On-call rotations, U. S. Client Business Hours

What They're Looking For.

Must Have

3+ years DevOps experience, 3+ years SRE experience, 3+ years Infrastructure Engineering experience, Proficiency with AWS, Proficiency with GCP, Proficiency with Azure, Experience building CI/CD pipelines, Experience managing CI/CD pipelines, Hands-on Docker experience, Hands-on Kubernetes experience, Terraform expertise, Pulumi expertise, CloudFormation expertise, Experience with Prometheus, Experience with Grafana, Experience with Datadog, Experience with New Relic, Scripting experience with Python, Scripting experience with Bash, Understanding of cloud security, Understanding of infrastructure reliability

Nice to Have

Experience with microservices, Experience with distributed systems, Familiarity with serverless technologies, Experience managing Kubernetes environments, AWS Certified DevOps Engineer, CKA certification, Experience supporting SaaS applications, Experience supporting fintech applications, Experience supporting healthcare applications, Experience supporting enterprise applications

What You'll Do.

Provision cloud infrastructure

Configure cloud infrastructure

Maintain cloud infrastructure

Implement Infrastructure-as-Code

Configure cloud security

Optimize infrastructure performance

Optimize infrastructure scalability

Optimize infrastructure cost

Build CI/CD pipelines

Maintain CI/CD pipelines

Automate build workflows

Automate testing workflows

Automate deployment workflows

Automate rollback workflows

Ensure zero-downtime deployments

Ensure reliable release processes

Improve deployment speed

Improve deployment consistency

Improve operational reliability

Manage Docker containers

Manage Kubernetes clusters

Monitor cluster health

Monitor resource allocation

Monitor workload performance

Optimize orchestration strategies

Troubleshoot container issues

Troubleshoot deployment issues

Implement observability solutions

Implement monitoring solutions

Configure centralized logging

Configure alerting pipelines

Participate in incident response

Participate in on-call rotations

Perform root cause analysis

Implement preventive solutions

Apply infrastructure security best practices

Support compliance requirements

Conduct vulnerability scans

Perform patch management

Perform security hardening

Ensure infrastructure is secure

Ensure infrastructure is compliant

Ensure infrastructure is audit-ready

Partner with development teams

Improve deployment workflows

Support developers with troubleshooting

Manage developer environments

Identify reliability improvements

Identify scalability improvements

Identify operational efficiency improvements

Maintain infrastructure documentation

Maintain deployment pipeline documentation

Maintain operational procedure documentation

Review monitoring dashboards

Respond to infrastructure alerts

Improve CI/CD pipelines

Streamline testing workflows

Streamline deployment workflows

Provision infrastructure

Optimize infrastructure

Troubleshoot deployment issues

Collaborate on production releases

Monitor Kubernetes clusters

Monitor containerized services

Improve operational processes

Prevent future issues

Ensure infrastructure is scalable

Ensure infrastructure is automated

Ensure infrastructure supports product delivery

How You'll Work.

Team & Collaboration

Partner with development teams; Collaborate with developers; Collaborate across technical teams

Communication Scope

Clear documentation

Process & Methodology

Agile

Full Job Description

### **Job Title: DevOps Engineer** **Position Type:** Full-Time, Remote **Working Hours:** U.S. Client Business Hours (with flexibility for deployments, incident response, and on-call rotations) ### **About the Role** Our client is seeking a highly skilled DevOps Engineer to build, maintain, and optimize cloud infrastructure, deployment pipelines, and system reliability across production environments. This role requires deep expertise in cloud platforms, automation, CI/CD, container orchestration, monitoring, and infrastructure security. The DevOps Engineer will play a critical role in ensuring systems remain scalable, secure, resilient, and highly available while enabling development teams to ship code efficiently and safely. The ideal candidate is proactive, automation-driven, calm under pressure, and passionate about improving infrastructure reliability and operational efficiency. ### **Responsibilities** ### **Cloud Infrastructure Management** • Provision, configure, and maintain infrastructure on AWS, GCP, or Azure cloud platforms • Implement Infrastructure-as-Code (IaC) using Terraform, Pulumi, or CloudFormation • Configure networking, compute, storage, IAM, and cloud security policies • Optimize infrastructure performance, scalability, and cost efficiency ### **CI/CD & Deployment Automation** • Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or CircleCI • Automate build, testing, deployment, and rollback workflows across environments • Ensure zero-downtime deployments and reliable release processes • Improve deployment speed, consistency, and operational reliability ### **Containerization & Kubernetes** • Manage Docker containers and Kubernetes clusters for microservices deployment • Monitor cluster health, resource allocation, and workload performance • Optimize orchestration strategies for scalability and reliability • Troubleshoot container and deployment-related issues across environments ### **Monitoring, Logging & Incident R

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