{"id":4312700,"url":"https://alion.io/job/intraedge-platform-engineer-google-cloud-platform","title":"Platform Engineer - Google Cloud Platform","company":{"id":62138,"name":"IntraEdge","domain":"intraedge.com","url":"https://alion.io/company/intraedge","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Configuration Management","optional":false},{"name":"GCP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-14T11:42:26Z","employer_posted_date":null,"last_verified_at":"2026-11-14T11:42:26Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Experience: 5 - 8 Years\n\nLocation: Gurugram\n\nEmployment Type: Full-time\n\nJob Overview:\n\nWe are looking for an experienced Platform Engineer with strong hands-on expertise in Google Cloud Platform (GCP), infrastructure automation, cloud configuration management, and performance optimization.\n\nThe ideal candidate should have a deep understanding of GCP services, particularly Dataproc, Dataflow, Cloud Composer (Apache Airflow), Pub/Sub, and Google Cloud Storage.\n\nThe candidate will be responsible for configuring, monitoring, troubleshooting, and optimizing cloud-based platform and data services to ensure performance, scalability, reliability, and cost efficiency.\n\nKey Responsibilities:\n\n- Design, configure, monitor, and optimize cloud infrastructure and platform services on Google Cloud Platform.\n\n- Manage and optimize GCP services including Dataproc, Dataflow, Cloud Composer, Pub/Sub, and Google Cloud Storage.\n\n- Analyze GCP service configurations and understand their impact on performance, scalability, reliability, and resource utilization.\n\n- Monitor cloud infrastructure and identify performance bottlenecks related to CPU, memory, storage, networking, throughput, and latency.\n\n- Implement monitoring, logging, alerting, and performance-tracking mechanisms.\n\n- Troubleshoot production incidents, investigate root causes, and implement preventive measures.\n\n- Automate infrastructure provisioning and operational activities using Python scripting.\n\n- Develop automation scripts and utilities for monitoring, reporting, troubleshooting, and configuration management.\n\n- Implement and maintain Infrastructure as Code (IaC) using Terraform.\n\n- Support environment provisioning, deployment, configuration management, and infrastructure changes across development, testing, and production environments.\n\n- Collaborate with engineering and data teams to optimize cloud infrastructure and data-processing workloads.\n\n- Document configuration standards, operational procedures, troubleshooting guidelines, and recommended best practices.\n\nRequired Skills & Qualifications:\n\n- 5 - 8 years of experience in Platform Engineering, Cloud Engineering, DevOps, or Infrastructure Engineering.\n\n- Strong hands-on experience with Google Cloud Platform (GCP).\n\n- Practical experience with the following GCP services:\n\n1. Google Cloud Dataproc\n\n2. Google Cloud Dataflow\n\n3. Cloud Composer / Apache Airflow\n\n4. Google Cloud Pub/Sub\n\n5. Google Cloud Storage (GCS)\n\n- Strong understanding of GCP service configurations and their impact on application and platform performance.\n\n- Experience with Terraform and Infrastructure as Code (IaC).\n\n- Strong Python scripting skills for automation and operational tasks.\n\n- Experience with cloud monitoring, logging, alerting, and performance optimization.\n\n- Understanding of cloud infrastructure components, resource utilization, networking, and scalability.\n\n- Experience in production troubleshooting and root cause analysis.\n\n- Ability to work with engineering and data teams to improve platform reliability and operational efficiency.\n\nGood to Have:\n\n- Knowledge of relational and NoSQL databases.\n\n- Experience with data-processing and distributed computing platforms.\n\n- Familiarity with CI/CD pipelines and deployment automation.\n\n- Understanding of cloud cost optimization and resource management.\n\n- Relevant Google Cloud certifications.\n\nIdeal Candidate Profile:\n\n- Strong analytical and troubleshooting capabilities.\n\n- Ability to understand complex cloud service configurations and performance behaviour.\n\n- Hands-on approach to infrastructure automation and operational improvements.\n\n- Good communication, documentation, and cross-functional collaboration skills\nSkills\nDevOps, Google Cloud Platform, Terraform, Python, Dataproc, IAC Terraform, Docker, Kubernetes, NoSQL, Cloud Infrastructure","description_format":"text","description_chars":3843,"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":["Custom Software Development","IT Staffing & Staff Augmentation","IT Training & 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