Devops Engineer

Lancesoft; Dadri; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Lancesoft in India is seeking a seasoned Multicloud DevOps Engineer to design, automate, and maintain scalable cloud infrastructure across AWS, Azure, and GCP. The role emphasizes CI/CD pipelines, IaC, Kubernetes, and security practices to improve deployment velocity and reliability.

You will collaborate with application teams, cloud architects, and security to optimize costs, reliability, and performance in a fast-paced environment.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 48 years of experience in DevOps, cloud engineering, platform engineering, or infrastructure automation.
• At least 3 years of hands-on experience with one or more major cloud platforms.
• Practical experience managing workloads across multiple cloud providers.
• Strong proficiency in Terraform, CI/CD automation, containers, and Kubernetes.
• Experience implementing secure, automated, production-grade deployment pipelines.
• Strong troubleshooting, analytical, documentation, and collaboration skills.
• Relevant certifications such as AWS Certified DevOps Engineer, Microsoft Certified: DevOps Engineer Expert, Google Professional Cloud DevOps Engineer, or Certified Kubernetes Administrator (CKA) are desirable.

Responsibilities

• Design, deploy, and manage cloud infrastructure across AWS, Azure, and GCP.
• Implement cloud-native architectures, including compute, storage, networking, databases, and load balancing.
• Configure identity and access management, secrets management, encryption, and network security.
• Support hybrid-cloud connectivity, disaster recovery, backup, and high-availability solutions.
• Implement cloud governance, tagging standards, policy enforcement, and resource lifecycle management.
• Design and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Automate build, test, deployment, release management, and rollback processes.
• Implement GitOps-based deployment and configuration management practices.
• Integrate automated testing, code quality checks, vulnerability scanning, and compliance controls into delivery pipelines.
• Manage release strategies such as blue-green, canary, and rolling deployments.
• Develop reusable infrastructure modules using Terraform or OpenTofu.
• Work with AWS CloudFormation, Azure Bicep/ARM templates, and GCP infrastructure automation tools.
• Automate infrastructure provisioning, configuration, scaling, and decommissioning.
• Manage remote state, state locking, secrets, and environment-specific configurations.
• Use Ansible or similar tools for configuration management and automation.
• Build, package, and manage containerized applications using Docker.
• Deploy and operate Kubernetes workloads on Amazon EKS, Azure AKS, and Google GKE.
• Configure Helm charts, ingress controllers, service discovery, autoscaling, and persistent storage.
• Implement workload identity, network policies, secrets management, and container image security.
• Troubleshoot cluster health, resource utilization, scheduling, and application performance.
• Monitoring, logging, and reliability: Prometheus, Grafana, ELK/OpenSearch; centralized logging and dashboards.
• Define SLIs, SLOs, and KPIs to improve service reliability.
• Perform root-cause analysis, incident response, capacity planning, and performance optimization.
• Automate remediation of common infrastructure and application failures.
• DevSecOps and Cloud FinOps: integrate security scanning and policy checks into CI/CD; least-privilege access and secrets rotation.
• Apply policy-as-code using OPA or Checkov.
• Optimize cloud consumption via rightsizing, autoscaling, scheduling, and resource cleanup.
• Monitor cloud expenditure, enforce tagging and budgets, and support cost allocation across cloud providers.

Skills

AWS

Azure

GCP

Jenkins

GitHub Actions

GitLab CI/CD

Azure DevOps

Terraform

OpenTofu

CloudFormation

Bicep

Kubernetes

Docker

Helm

Ansible

Python

Bash

PowerShell

Git

Prometheus

Grafana

ELK/OpenSearch

IAM

Secrets management

Vulnerability scanning

VPC/VNet

DNS

Load balancers

Tagging

Budgets

Rightsizing

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline

Tools

Terraform

OpenTofu

CloudFormation

Bicep

Ansible

Docker

Kubernetes

Helm

Git

GitHub

GitLab

Jenkins

Azure DevOps

Prometheus

Grafana

ELK/OpenSearch

Job description

Job Description: Multicloud DevOps Engineer

Role: Multicloud Engineering | DevOps | Platform AutomationA hands-on engineer with strong Terraform, Kubernetes, and CI/CD capabilities, plus practical experience in at least two cloud platforms and working knowledge of the third. This ensures the role focuses on real multicloud engineering rather than simply listing experience with three providers.

1. Position Overview

We are looking for an experienced Multicloud DevOps Engineer to design, implement, automate, and maintain scalable, secure, and highly available cloud infrastructure across AWS, Microsoft Azure, and Google Cloud Platform (GCP). The ideal candidate will have strong hands-on expertise in CI/CD pipelines, Infrastructure as Code (IaC), Kubernetes, cloud networking, observability, security automation, and DevSecOps practices.The engineer will collaborate with application development, cloud architecture, security, and operations teams to improve deployment velocity, infrastructure reliability, operational efficiency, and cloud cost optimization.

2. Key Responsibilities

Multicloud Infrastructure Management

• Design, deploy, and manage cloud infrastructure across AWS, Azure, and GCP.
• Implement cloud-native architectures, including compute, storage, networking, databases, and load balancing.
• Configure identity and access management, secrets management, encryption, and network security.
• Support hybrid-cloud connectivity, disaster recovery, backup, and high-availability solutions.
• Implement cloud governance, tagging standards, policy enforcement, and resource lifecycle management.

DevOps and CI/CD Automation

• Design and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Automate build, test, deployment, release management, and rollback processes.
• Implement GitOps-based deployment and configuration management practices.
• Integrate automated testing, code quality checks, vulnerability scanning, and compliance controls into delivery pipelines.
• Manage release strategies such as blue-green, canary, and rolling deployments.

Infrastructure as Code (IaC)

• Develop reusable infrastructure modules using Terraform or OpenTofu.
• Work with AWS CloudFormation, Azure Bicep/ARM templates, and GCP infrastructure automation tools.
• Automate infrastructure provisioning, configuration, scaling, and decommissioning.
• Manage remote state, state locking, secrets, and environment-specific configurations.
• Use Ansible or similar tools for configuration management and automation.

Containers and Kubernetes

• Build, package, and manage containerized applications using Docker.
• Deploy and operate Kubernetes workloads on Amazon EKS, Azure AKS, and Google GKE.
• Configure Helm charts, ingress controllers, service discovery, autoscaling, and persistent storage.
• Implement workload identity, network policies, secrets management, and container image security.
• Troubleshoot cluster health, resource utilization, scheduling, and application performance.

Monitoring, Logging, and Reliability

• Implement monitoring and observability using Prometheus, Grafana, cloud-native monitoring tools, and the ELK/OpenSearch stack.
• Configure centralized logging, metrics, distributed tracing, alerts, and operational dashboards.
• Define SLIs, SLOs, and operational KPIs to improve service reliability.
• Perform root-cause analysis, incident response, capacity planning, and performance optimization.
• Automate remediation of common infrastructure and application failures.

DevSecOps and Cloud FinOps

• Integrate security scanning and policy checks into CI/CD pipelines.
• Implement least-privilege access, secrets rotation, and vulnerability management.
• Apply policy-as-code using tools such as OPA or Checkov.
• Optimize cloud consumption through rightsizing, autoscaling, scheduling, and resource cleanup.
• Monitor cloud expenditure, enforce tagging and budgets, and support cost allocation across cloud providers.

3. Required Technical Skills

Technology areaRequired skillsCloud platformsAWS, Azure, GCPCI/CDJenkins, GitHub Actions, GitLab CI/CD, Azure DevOpsIaCTerraform/OpenTofu, CloudFormation, BicepContainersDocker, Kubernetes, HelmConfiguration managementAnsible, scriptingProgramming and scriptingPython, Bash, PowerShellVersion controlGit, GitHub, GitLab, Azure ReposMonitoring and loggingPrometheus, Grafana, ELK/OpenSearch, cloud-native toolsSecurityIAM, secrets management, vulnerability scanning, DevSecOpsNetworkingVPC/VNet, DNS, load balancers, VPN, private connectivityCloud cost managementTagging, budgets, rightsizing, resource optimization

4. Qualifications and Experience

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 48 years of experience in DevOps, cloud engineering, platform engineering, or infrastructure automation.
• At least 3 years of hands-on experience with one or more major cloud platforms.
• Practical experience managing workloads across multiple cloud providers.
• Strong proficiency in Terraform, CI/CD automation, containers, and Kubernetes.
• Experience implementing secure, automated, production-grade deployment pipelines.
• Strong troubleshooting, analytical, documentation, and collaboration skills.
• Relevant certifications such as AWS Certified DevOps Engineer, Microsoft Certified: DevOps Engineer Expert, Google Professional Cloud DevOps Engineer, or Certified Kubernetes Administrator (CKA) are desirable.

5. Preferred Skills

• GitOps using Argo CD or Flux.
• Service mesh technologies such as Istio or Linkerd.
• Policy-as-code and compliance automation.
• Platform engineering and Internal Developer Platforms (IDPs).
• FinOps tooling and cloud cost optimization.
• AIOps and AI-assisted incident remediation.
• Experience with regulated enterprise environments and security frameworks.