Programmers.io
Website:
programmers.io
Company:
https://www.linkedin.com/company/programmers-io
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
🚀 GCP AI & Analytics Architect (Hands-On Builder)
Shift Timings: 7 PM - 11 PM (8 hours Flexible)
Location: Remote
Experience Required: 10+ Years
💼Employment Type: Part Time.
🔑 Key Responsibilities
➔ Architect end-to-end agentic AI, automation, and analytics solutions on GCP
➔ Build and tune automation workflows (agentic + traditional) including conversational and voice solutions
➔ Integrate AI agents with client systems of record and legacy back-office systems
➔ Develop near-real-time replication pipelines and high-volume data flows using Apigee, Pub/Sub, Kafka, Cloud Workflows, Cloud Functions
➔ Deliver analytics with BigQuery & Looker (LookML modeling, dashboards, conversational reporting)
➔ Stand up, tune, and troubleshoot GKE workloads and GCP networking
➔ Implement monitoring, observability, evaluation, and guardrails for production workloads
➔ Ensure performance, scalability, reliability, security, and cost-efficiency
➔ Lead implementation delivery, train teams, and produce reference architectures & accelerators
🎯 Required Qualifications
➔ 10–14 years of professional experience, including substantial time as a Cloud/Solutions Architect
➔ Hands-on expertise with Vertex AI, Gemini Enterprise, BigQuery, Looker, Google Maps Platform, Apigee, Pub/Sub, Kafka, Cloud Workflows, Cloud Functions, GKE
➔ Proven ability to design and troubleshoot agentic AI workflows and GCP networking
➔ Strong skills in cost optimization on GCP
➔ Must have active Google Cloud certifications (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer)
🌍 Domain Expertise (Preferred)
➔ Transportation, logistics, and supply chain
➔ Freight and carrier operations, order-to-cash, customer service workflows
➔ Familiarity with TMS systems, routing optimization, and geospatial/time-series analytics in BigQuery
✅ Must-Have Skills
➔ GCP stack mastery: Vertex AI, Gemini Enterprise, BigQuery, Looker, Apigee, Pub/Sub, Kafka, Cloud Workflows, Cloud Functions, GKE
➔ Ability to architect, stand up, tune, and troubleshoot workloads
➔ Google Cloud certifications (Professional-level)
➕ Good-to-Have Skills
➔ Routing & mapping use cases (Google Maps Platform)
➔ Geospatial and time-series data analytics in BigQuery
📩 If this opportunity interests you, please share your resume along with your LWD , current CTC, expected CTC , and notice period at Nedhunuri.lokesh@programmers.ai .
Click on Apply to know more.
