DevOps Engineer

Akino Labs; Vadodara; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Akino Labs seeks a DevOps Engineer to build, maintain, and automate our cloud infrastructure and deployments. You will collaborate with Software Engineers, AI Engineers, QA, and leadership to ensure reliable, secure, and efficient deployments across development, staging, and production environments.

The ideal candidate has hands-on cloud infrastructure experience, CI/CD, Docker, Linux, monitoring, deployment automation, and infrastructure management. Hybrid work in Vadodara is supported.

Qualifications

• Hands-on experience with cloud infrastructure, CI/CD, Docker, Linux, monitoring, deployment automation, and infrastructure management.
• Experience building and maintaining scalable, secure deployment pipelines and infrastructure as code.
• Strong collaboration with software/AI teams to enable reliable deployments across dev/staging/production environments.

Responsibilities

• Provisions and maintains cloud infrastructure across AWS/Azure/Google Cloud.
• Designs, implements, and maintains CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps.
• Builds and manages Docker containers; maintains Dockerfiles and Compose configurations.
• Deploys and manages Kubernetes workloads; handles pods, deployments, services, and ingress.
• Implements IaC using Terraform, AWS CloudFormation, and Ansible; maintains reusable configurations.
• Administers Linux servers; troubleshoots performance, disk, network, and process issues.
• Implements monitoring/observability with Grafana, Prometheus, ELK/OpenSearch, and CloudWatch; creates alerts.
• Applies DevSecOps practices; manages secrets and IAM policies; secures pipelines and cloud infra.

Skills

Cloud infrastructure

CI/CD

Docker

Linux

Monitoring

Deployment automation

Infrastructure management

Tools

Terraform

AWS

Azure

Google Cloud

Kubernetes

Helm

GitHub Actions

GitLab CI/CD

Jenkins

Azure DevOps

Docker

Ansible

Job description

Position:DevOpsEngineer

Department:Technology/Infrastructure

Location:Vadodara/Hybrid

EmploymentType:Full-Time

Experience:1–3Years

AbouttheRole

WearelookingforaDevOpsEngineertobuild,maintain,automate,andimprovetheinfrastructureanddeploymentsystemssupportingourweb,mobile,SaaS,andAI-poweredapplications.

TheroleinvolvesworkingcloselywithSoftwareEngineers,AIEngineers,QA,ProjectManagers,andleadershiptoensureapplicationscanbedeployedreliably,securely,andefficientlyacrossdevelopment,staging,andproductionenvironments.

Theidealcandidateshouldhavehands-onexperiencewithcloudinfrastructure,CI/CD,Docker,Linux,monitoring,deploymentautomation,andinfrastructuremanagement.

KeyResponsibilities

CloudInfrastructure

• Provision,configure,andmaintaincloudinfrastructure.
• Workwithplatformssuchas:
  • AWS
  • Azure
  • GoogleCloud
• Managecompute,storage,networking,databases,andapplicationinfrastructure.
• Maintaindevelopment,staging,andproductionenvironments.
• Implementscalableandreliableinfrastructurearchitectures.
• Monitorinfrastructureutilizationandoptimizeresourceconsumption.

CI/CD&Deployment

• Design,implement,andmaintainCI/CDpipelines.
• Automatebuild,test,deployment,andreleaseprocesses.
• Workwithtoolssuchas:
  • GitHubActions
  • GitLabCI/CD
  • Jenkins
  • AzureDevOps
• Implementautomateddeploymentworkflowsforweb,mobile,backend,andAIservices.
• Manageenvironment-specificconfigurations.
• Implementrollbackandrecoverymechanisms.
• Reducemanualdeploymentactivities.

Containerization

• BuildandmanageDockercontainers.
• CreateandmaintainDockerfilesandDockerComposeconfigurations.
• ContainerizeapplicationservicesandAIworkloads.
• Managecontainerregistries.
• Optimizecontainerimagesforsize,security,andperformance.

Kubernetes

• DeployandmanageapplicationsusingKuberneteswhererequired.
• Workwith:
  • Pods
  • Deployments
  • Services
  • ConfigMaps
  • Secrets
  • Ingress
• MonitorKubernetesworkloadsandtroubleshootdeploymentissues.
• Manageapplicationscalingandavailability.
• Helmknowledgeisanadvantage.

InfrastructureasCode

• ImplementinfrastructureusingInfrastructure-as-Codepractices.
• Workwithtoolssuchas:
  • Terraform
  • AWSCloudFormation
  • Ansible
• Maintainreusableinfrastructureconfigurations.
• Version-controlinfrastructurechanges.
• Minimizemanualinfrastructureconfiguration.

Linux&SystemAdministration

• ManageLinux-basedserversandenvironments.
• Troubleshoot:
  • CPUandmemoryissues
  • Diskutilization
  • Networkconnectivity
  • Applicationprocesses
  • Permissions
  • Servicefailures
• WritebasicBash/Shellscriptsforautomation.
• Managesystemusers,permissions,packages,andservices.

Monitoring&Observability

• Implementapplicationandinfrastructuremonitoring.
• Configurelogging,metrics,andalerting.
• Workwithtoolssuchas:
  • Grafana
  • Prometheus
  • ELK/OpenSearch
  • CloudWatch
  • ApplicationPerformanceMonitoringtools
• Monitor:
  • CPU
  • Memory
  • Disk
  • Network
  • Applicationhealth
  • APIperformance
  • Errorrates
• Createalertsforcriticalinfrastructureandapplicationfailures.

Security

• ApplyDevSecOpspracticesthroughoutthedeploymentlifecycle.
• Securecloudinfrastructureanddeploymentpipelines.
• Managesecretsandcredentialssecurely.
• ImplementappropriateIAMpoliciesandaccesscontrols.
• Configurenetworksecurityandfirewallrules.
• Scancontainerimagesanddependenciesforvulnerabilities.
• Avoidstoringcredentialsorsecretsinsourcecode.
• Maintainappropriateseparationbetweendevelopment,staging,andproductionenvironments.

Database&InfrastructureSupport

• Supportdeploymentandinfrastructurerequirementsfordatabasessuchas:
  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
• Configurebackupsandrecoveryprocesses.
• Monitordatabaseinfrastructureperformance.
• Coordinatewithbackendengineersoninfrastructurerequirements.

AI/MLInfrastructure

AstheorganizationdevelopsAI-poweredapplications,theDevOpsEngineermayalsosupport:

• AI/MLservicedeployment.
• GPU-enabledworkloadswhererequired.
• Model-servinginfrastructure.
• AIAPIservices.
• Vectordatabases.
• RAGinfrastructure.
• AIapplicationmonitoring.
• ResourceandcostoptimizationforAIworkloads.

RequiredSkills

• 1–3yearsofexperienceinDevOps,CloudEngineering,InfrastructureEngineering,orrelatedroles.
• StrongLinuxfundamentals.
• Hands-onexperiencewithatleastonemajorcloudplatform.
• ExperiencewithDocker.
• ExperiencebuildingCI/CDpipelines.
• WorkingknowledgeofGit/GitHub.
• Understandingofnetworkingfundamentals.
• Experiencewithdeploymentautomation.
• BasicscriptingknowledgeusingBashorPython.
• Strongtroubleshootingandproblem-solvingskills.

GoodtoHave

• AWSexperience,particularly:
  • EC2
  • S3
  • RDS
  • IAM
  • VPC
  • CloudWatch
  • Lambda
  • ECS/EKS
• Kubernetes.
• Terraform.
• Ansible.
• Helm.
• GitHubActions.
• Jenkins.
• Nginx.
• Redis.
• PostgreSQL.
• MongoDB.
• Prometheus/Grafana.
• ELK/OpenSearch.
• Cloudflare.
• CDNandDNSmanagement.
• SSL/TLScertificatemanagement.
• Securityscanningtools.
• ExperiencemanagingproductionSaaSinfrastructure.

Reliability&IncidentManagement

• Monitorproductionsystemsandrespondtoinfrastructureincidents.
• Investigateserviceoutagesandperformancedegradation.
• Performroot-causeanalysis.
• Implementcorrectiveandpreventiveactions.
• Maintainincidentdocumentation.
• Improvesystemreliabilityandreducerecurringfailures.
• Participateinon-callorincident-responseactivitieswhererequired.

CostOptimization

• Monitorcloudinfrastructurecosts.
• Identifyunusedorover-provisionedresources.
• Optimizecompute,storage,database,andnetworkingcosts.
• Implementappropriateautoscalingandresourcepolicies.
• Providerecommendationsforbalancinginfrastructurecost,performance,andreliability.

CandidateProfile

Wearelookingforsomeonewho:

• UnderstandsthatDevOpsismorethanserveradministration.
• Automatesrepetitiveinfrastructureanddeploymentwork.
• Cantroubleshootproblemssystematically.
• Understandstherelationshipbetweenapplicationcodeandinfrastructure.
• Thinksaboutreliability,security,scalability,andcosttogether.
• Canworkeffectivelywithdevelopersandtechnicalteams.
• Takesownershipofproductionissues.
• Documentsinfrastructureanddeploymentprocesses.
• IscomfortablelearningnewcloudandDevOpstechnologies.

PracticalEvaluation

Shortlistedcandidatesmaybegivenatechnicalassignmentinvolving:

1. ContainerizingasampleapplicationusingDocker.
2. CreatingaCI/CDpipeline.
3. Deployinganapplicationtoacloudenvironment.
4. Configuringenvironmentvariablesandsecretssecurely.
5. Settingupbasicmonitoringandlogging.
6. Troubleshootingasimulateddeploymentfailure.
7. DesigninginfrastructureforasmallSaaSapplication.
8. CreatingbasicTerraforminfrastructure.

CandidatesmayalsobeaskedtotroubleshootaLinux/serverornetworkingscenario.

KeyPerformanceAreas

Performancemaybeevaluatedbasedon:

• Deploymentreliability
• CI/CDautomation
• Infrastructureavailability
• Incidentresolution
• Systemsecurity
• Infrastructurescalability
• Cloudcostoptimization
• Monitoringandobservability
• Automationcoverage
• Documentationquality
• Infrastructure-as-Codeadoption
• Reductionindeploymentandoperationalerrors

PreferredEducationalBackground

• B.Tech/B.E.–ComputerScience/IT
• BCA/MCA
• B.Sc./M.Sc.ComputerScience
• RelevantCloud/DevOpscertification

Equivalentprofessionalexperienceanddemonstratedtechnicalcapabilitymaybeconsidered.