{"id":3002736,"url":"https://alion.io/job/rp-sanjiv-goenka-group-devops-engineer","title":"DevOps Engineer","company":{"id":46720,"name":"RP Sanjiv Goenka Group","domain":"rpsg.in","url":"https://alion.io/company/rp-sanjiv-goenka-group","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Greater Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SRE","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-21T12:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-21T12:35:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking a skilled DevOps Engineer with 5-7 years of experience in designing, implementing, and managing cloud infrastructure, CI/CD pipelines, and DevOps practices across Azure/AWS/GCP. The ideal candidate will have strong expertise in infrastructure automation, containerization, cloud-native architectures, monitoring, security, and platform reliability. The role involves working closely with development, data, AI/ML, and cloud teams to build scalable, secure, and highly available enterprise platforms.\n\nResponsibilities: \nDesign, implement, and manage cloud infrastructure on Azure/AWS/GCP.\nBuild and maintain CI/CD pipelines for application, data, and AI/ML deployments.\nAutomate infrastructure provisioning using Infrastructure as Code (IaC) tools.\nDeploy and manage containerized applications using Docker and Kubernetes.\nConfigure monitoring, logging, alerting, and observability frameworks.\nImplement cloud security best practices, access controls, governance, and compliance standards.\nOptimize cloud resource utilization, performance, scalability, and operational costs.\nSupport production deployments, incident management, troubleshooting, and root cause analysis.\nCollaborate with Development, Data Engineering, AI/ML, and Security teams to ensure reliable and efficient deployments.\nDevelop reusable automation frameworks, deployment templates, and operational runbooks.\n\nRequirements: \nBachelor's degree in computer science, information technology, engineering, or a related field.\n5-7 years of hands-on experience in DevOps, cloud engineering, or site reliability engineering.\nExperience implementing enterprise-scale CI/CD and cloud automation solutions.\nCloud certifications (Azure, AWS, or GCP) preferred.\nA hands-on DevOps engineer with strong expertise in Azure, AWS, and/or GCP, capable of building secure, scalable, and automated cloud platforms while enabling fast, reliable delivery of applications, data, and AI solutions at enterprise scale.\n\nCloud Platforms: \nMicrosoft Azure and/or AWS and/or Google Cloud Platform.\nCompute, Storage, Networking, IAM, and Security Services.\nCloud Architecture and High Availability Design.\n\nDevOps and Automation: \nAzure/AWS/GCP DevOps, GitHub Actions, Jenkins, GitLab CI/CD.\nInfrastructure as Code (Terraform, ARM, Bicep, CloudFormation).\nShell Scripting, Python, PowerShell.\n\nContainers and Orchestration: \nDocker.\nKubernetes (AKS, EKS, GKE).\nHelm Charts.\nContainer Registry Management.\n\nMonitoring and Security: \nAzure Monitor, Application Insights\nCloudWatch, Stackdriver/Google Monitoring.\nPrometheus, Grafana, and ELK Stack.\nVulnerability Management and Security Automation.\n\nAI/ML and Data Platform Exposure (Preferred): \nAzure ML, AWS SageMaker, and Vertex AI.\nDatabricks, Synapse, Snowflake.\nMLOps and Model Deployment Pipelines.\nSkills\naws, azure, devops, docker, gcp, github actions, google cloud platform, jenkins, kubernetes, terraform","description_format":"text","description_chars":2919,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Private 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