{"id":3518344,"url":"https://alion.io/job/unison-group-cloud-engineer-google-cloud-engineer","title":"Cloud Engineer ( Google Cloud Engineer)","company":{"id":448684,"name":"Unison Group","domain":"unisongroup.com","url":"https://alion.io/company/unisongroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":71,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":94000,"period":"year","method":"role_country_seniority_unknown","sample_n":213},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google GKE","optional":false},{"name":"Hadoop","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Google BigQuery","optional":true}],"status":"live","first_seen_at":"2026-10-30T11:19:32Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-02T01:43:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nWe are seeking a skilled and proactive GCP Cloud Engineer with strong expertise in Google Kubernetes Engine (GKE) and Google Cloud Dataproc. The ideal candidate will be responsible for designing, implementing, and managing cloud infrastructure and data processing pipelines on Google Cloud Platform. This role will support scalable deployment of applications and big data workflows, ensuring high availability, security, and performance.\nKey Responsibilities\nDesign, deploy, and manage containerized applications using Google Kubernetes Engine (GKE).\nImplement and optimize Dataproc clusters for batch and stream data processing.\nDevelop and maintain CI/CD pipelines for container-based workloads.\nCollaborate with development and data engineering teams to design scalable, cloud-native solutions.\nMonitor and troubleshoot cloud infrastructure, ensuring high availability and reliability.\nAutomate infrastructure provisioning using tools like Terraform, Deployment Manager, or Ansible.\nEnsure security and compliance standards are met across all GCP environments.\nOptimize performance and cost-efficiency of cloud resources.\nParticipate in incident response and root cause analysis.\nRequirements\nRequired Skills and Qualifications\nHands-on experience in cloud engineering with GCP.\nStrong experience with GKE (setup, maintenance, monitoring, scaling).\nProficiency in Google Cloud Dataproc, including Spark and Hadoop job management.\nSolid understanding of Kubernetes concepts, Helm, and container orchestration.\nFamiliarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, Cloud Build).\nScripting and automation skills in Python, Shell, or similar.\nExperience with Infrastructure as Code (IaC) tools like Terraform.\nStrong knowledge of cloud networking, IAM, monitoring (Stackdriver/Cloud Monitoring), and logging.\nPreferred Qualifications\nGCP Professional Cloud Architect or GCP DevOps Engineer certification.\nExperience with other GCP services like BigQuery, Cloud Functions, Pub/Sub, etc.\nBackground in data engineering or DevOps 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