{"id":3409317,"url":"https://alion.io/job/sensiple-google-cloud-platform-aws-devopsplatform-engineer","title":"Google Cloud Platform & AWS DevOps/Platform Engineer","company":{"id":3233002,"name":"Sensiple","domain":"sensiple.com","url":"https://alion.io/company/sensiple","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Minneapolis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":210000,"period":"year","method":"role_country_seniority_unknown","sample_n":4424},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"IAM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-28T14:11:11Z","employer_posted_date":null,"last_verified_at":"2026-10-28T14:11:11Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Hello,\n\nThis is Kiruthika from Sensiple. Please share your resume if you are interested with the below role.\n\nJob Title: Google Cloud Platform & AWS platform Engineer– 12+ years\nLocation: Minneapolis, MN - Onsite\nDuration: Contract \n\nJob Description – Google Cloud Platform & AWS Engineer\nKey Responsibilities\nAutomate the provisioning, deployment, and operational readiness of customer environments on Google Cloud Platform (Google Cloud Platform) and AWS.\nDevelop and maintain Infrastructure as Code (IaC) using Terraform.\nAutomate cloud service enablement, networking, IAM configurations, secrets management, and baseline logging.\nProvision and manage infrastructure for RAG and knowledge pipelines, including document stores, vector databases, search indexes, embedding/indexing jobs, and schedulers.\nBuild and maintain CI/CD pipelines to deploy pre-built application packages, customer-specific configurations, and knowledge-index refresh jobs.\nAutomate application promotion and environment creation with minimal manual intervention.\nManage environment lifecycle activities, including creation, updates, snapshots, backups, and teardown.\nImplement monitoring, alerting, dashboards, and logging for cloud environments and pipeline jobs.\nEnsure secure deployments through IAM policies, secrets management, private networking, and audit logging.\nCollaborate with architects, specialists, and data engineers to implement reusable infrastructure modules and deployment workflows.\nManage cloud costs through budgets, resource labels/tags, and idle-environment policies.\nSupport the deployment of pre-built CCAI, voice, and chat application packages without developing conversational applications or retrieval logic.\nRequired Qualifications\n5+ years of experience in DevOps, Site Reliability Engineering (SRE), or Platform Engineering.\nStrong hands-on experience with Terraform across both Google Cloud Platform and AWS.\nExperience building and managing CI/CD pipelines.\nPractical knowledge of cloud security operations, including:\nIAM and access management\nSecrets managers\nPrivate networking\nAudit logging\nExperience with infrastructure provisioning, deployment automation, and production environment management.\nGoogle Cloud DevOps Engineer and/or AWS DevOps or SysOps certification preferred.\nExperience deploying contact-center or conversational platforms is an advantage.\nKey Technical Skills\nDevOps and Platform Engineering\nInfrastructure as Code (IaC)\nTerraform\nAWS and Google Cloud Platform\nAWS CDK\nCI/CD Pipelines\nGoogle Cloud Build\nAWS CodePipeline\nIAM and Secrets Management\nCloud Landing Zones\nNetworking and Security\nMonitoring, Logging, and Alerting\nVector Databases and Search Indexes\nRAG and Knowledge Pipelines\nVertex 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