DevOps Engineer

Feathersoft; Ernakulam; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Feathersoft is seeking a seasoned Cloud Infrastructure Engineer to manage and optimize cloud environments across AWS and GCP. You will design, deploy, and monitor scalable infrastructure, implement IaC with Terraform, and automate via Python scripts.

The role covers security, backups, DR, and incident response, with strong focus on Kubernetes, CI/CD, and containerized services. You will collaborate with DevOps and security teams to ensure high availability and performance, while supporting

Qualifications

• Hands-on knowledge of AWS (EC2, S3, IAM, VPC, RDS, Lambda, CloudWatch) and basic GCP services.
• Strong knowledge of Linux administration, server management, and troubleshooting.
• Good understanding of networking concepts (TCP/IP, DNS, DHCP, VPN, Firewalls, Subnets, Routing, and Load Balancers).
• Good knowledge of Docker, Kubernetes, EKS, and GKE.
• Familiarity with Terraform and Infrastructure as Code (IaC).
• Good scripting knowledge in Python and Shell Scripting.
• Understanding of CI/CD pipelines and Git deployments.
• Knowledge of NGINX, Apache, Tomcat, PostgreSQL, and MySQL.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, and CloudWatch.
• Understanding of cloud security, IAM, RBAC, backup, and recovery.
• Experience in infrastructure monitoring, incident management, troubleshooting, and production support.
• RHCSA / RHCE Certified (Desired)
• Google Associate Cloud Engineer Certification. (Desired)
• AWS Certified Solutions Architect – Associate. (Desired)
• AWS Certified Developer or SysOps Administrator certifications. (Desired)

Responsibilities

• Design, deploy, and maintain cloud infrastructure using Amazon Web Services (AWS).
• Configure and manage AWS services such as EC2, S3, IAM, VPC, RDS, and Lambda etc.
• Configure and manage cloud networking components, including VPC, Subnets, Route Tables, and Security Groups.
• Optimize AWS resources to improve performance and reduce operational costs.
• Develop Infrastructure as Code (IaC) solutions using Terraform for automated provisioning and lifecycle management of AWS resources.
• Build and maintain Python-based automation scripts for cloud operations, monitoring, remediation, and reporting.
• Implement cloud security controls, IAM policies, encryption mechanisms, and compliance requirements.
• Monitor cloud infrastructure performance, availability, and resource utilization.
• Manage cloud servers, storage, networking, and database services.
• Implement security policies, access controls, and IAM roles to ensure cloud security.
• Automate infrastructure provisioning and deployment processes.
• Work on CI/CD pipelines for application build, testing, and deployment.
• Troubleshoot cloud infrastructure issues and resolve deployment failures.
• Perform backup, recovery, and disaster recovery activities.
• Support cloud migrations, application modernization, and infrastructure optimization initiatives.
• Perform root cause analysis for production incidents and implement preventive measures.
• Collaborate with development, DevOps, security, and infrastructure teams to deliver cloud-native solutions.
• Manage GCP networking components including VPCs, Cloud Router, NCC, PSC, PSA, Load Balancers, and Cloud Armor.
• Work with Cloud Run, Compute Engine, Cloud Storage, Cloud SQL, Filestore, and managed services.
• Implement deep logging, tracing, and metrics using Google Cloud
• Operationalize Google Kubernetes Engine (GKE) and Cloud Run environments, optimizing for auto-scaling, resource allocation, and zero-downtime deployments.
• Install, configure, and maintain Linux/ GPU servers, ensuring optimal performance and uptime.
• Manage and configure NGINX, Apache, and Tomcat servers. Ensure high availability and load balancing for web applications.
• Strong background in Linux, containerization, networking, IAM/RBAC, and production operations.
• Administer PostgreSQL/Mysql databases, including setup, backup, performance tuning, and security.
• Proven ability to design secure, scalable Kubernetes platforms and establish standards across both on-premises,EKS,GKS and cloud environments.
• Monitor Kubernetes cluster performance, availability, and security.
• Manage containerized applications using Docker and Kubernetes.
• Manage Helm charts for application deployment and configuration.
• Implement monitoring and logging solutions using Prometheus, Grafana, and ELK Stack.

Skills

AWS

Linux

Networking

Docker

Kubernetes

Terraform

Python

Shell scripting

CI/CD

NGINX

Apache

Tomcat

PostgreSQL

MySQL

Prometheus

Grafana

ELK Stack

CloudWatch

RBAC

IAM

Security

Tools

Terraform

Docker

Kubernetes

Helm

GKE

Job description

Job Description:

Responsible for managing, monitoring, and supporting cloud infrastructure across AWS and GCP, Linux servers, networking, and containerized environments. Coordinate with remote clients, on-premises development teams, support team leads, and cross-functional stakeholders to ensure smooth infrastructure operations and timely issue resolution. Perform continuous infrastructure monitoring, alert management, incident handling, troubleshooting, deployments, and performance optimization. Ensure compliance requirements, security hardening, access controls, patch management, and regular infrastructure health checks. Support Docker, Kubernetes, CI/CD pipelines, backup and recovery activities while maintaining system availability, operational stability, security standards, and SLA commitments.

Requirements

Roles & Responsibilities

• Design, deploy, and maintain cloud infrastructure using Amazon Web Services (AWS).
• Configure and manage AWS services such as EC2, S3, IAM, VPC, RDS, and Lambda etc.
• Configure and manage cloud networking components, including VPC, Subnets, Route Tables, and Security Groups.
• Optimize AWS resources to improve performance and reduce operational costs.
• Develop Infrastructure as Code (IaC) solutions using Terraform for automated provisioning and lifecycle management of AWS resources.
• Build and maintain Python-based automation scripts for cloud operations, monitoring, remediation, and reporting.
• Implement cloud security controls, IAM policies, encryption mechanisms, and compliance requirements.
• Monitor cloud infrastructure performance, availability, and resource utilization.
• Manage cloud servers, storage, networking, and database services.
• Implement security policies, access controls, and IAM roles to ensure cloud security.
• Automate infrastructure provisioning and deployment processes.
• Work on CI/CD pipelines for application build, testing, and deployment.
• Troubleshoot cloud infrastructure issues and resolve deployment failures.
• Perform backup, recovery, and disaster recovery activities.
• Support cloud migrations, application modernization, and infrastructure optimization initiatives.
• Perform root cause analysis for production incidents and implement preventive measures.
• Collaborate with development, DevOps, security, and infrastructure teams to deliver cloud-native solutions.
• Manage GCP networking components including VPCs, Cloud Router, NCC, PSC, PSA, Load Balancers, and Cloud Armor.
• Work with Cloud Run, Compute Engine, Cloud Storage, Cloud SQL, Filestore, and managed services.
• Implement deep logging, tracing, and metrics using Google Cloud
• Operationalize Google Kubernetes Engine (GKE) and Cloud Run environments, optimizing for auto-scaling, resource allocation, and zero-downtime deployments.
• Install, configure, and maintain Linux/ GPU servers, ensuring optimal performance and uptime.
• Manage and configure NGINX, Apache, and Tomcat servers. Ensure high availability and load balancing for web applications.
• Strong background in Linux, containerization, networking, IAM/RBAC, and production operations.
• Administer PostgreSQL/Mysql databases, including setup, backup, performance tuning, and security.
• Proven ability to design secure, scalable Kubernetes platforms and establish standards across both on-premises,EKS,GKS and cloud environments.
• Monitor Kubernetes cluster performance, availability, and security.
• Manage containerized applications using Docker and Kubernetes.
• Manage Helm charts for application deployment and configuration.
• Implement monitoring and logging solutions using Prometheus, Grafana, and ELK Stack.

Benefits

Required skills

• Hands-on knowledge of AWS (EC2, S3, IAM, VPC, RDS, Lambda, CloudWatch) and basic GCP services.
• Strong knowledge of Linux administration, server management, and troubleshooting.
• Good understanding of networking concepts (TCP/IP, DNS, DHCP, VPN, Firewalls, Subnets, Routing, and Load Balancers).
• Good knowledge of Docker, Kubernetes, EKS, and GKE.
• Familiarity with Terraform and Infrastructure as Code (IaC).
• Good scripting knowledge in Python and Shell Scripting.
• Understanding of CI/CD pipelines and Git deployments.
• Knowledge of NGINX, Apache, Tomcat, PostgreSQL, and MySQL.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, and CloudWatch.
• Understanding of cloud security, IAM, RBAC, backup, and recovery.
• Experience in infrastructure monitoring, incident management, troubleshooting, and production support.
• RHCSA / RHCE Certified (Desired)
• Google Associate Cloud Engineer Certification. (Desired)
• AWS Certified Solutions Architect – Associate. (Desired)
• AWS Certified Developer or SysOps Administrator certifications. (Desired)

Requirements: