Job Description
<p><p><b>Title :</b> Associate Google Cloud Engineer -GenAI :</b> Type :</b> Full of Openings :</b> :</b> 3:00 PM to 12 :00 AM note :</b> Only candidates with primary experience in Google Cloud should apply for this Responsibilities :</b></p><p><b><br/></b></p><p>- Deploy, manage, and optimize workloads on GCP to ensure high availability and reliability for GenAI products</p><p><br/>- Lead release management and production deployments with minimal downtime</p><br/></p><p>- Design and maintain CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions to streamline development to-production flow<br/><br/></p><p>- Operate and monitor Kubernetes (GKE) clusters, handling scaling, resource allocation, and cluster health<br/><br/></p><p>- Implement Infrastructure as Code (IaC) using Terraform to automate and standardize environments<br/><br/></p><p>- Collaborate with developers to integrate applications, automate releases, and enforce best practices<br/><br/></p><p>- Automate operational tasks and workflows using Python, Go, or Bash scripts<br/><br/></p><p>- Monitor system performance, logs, and alerts using Prometheus, Grafana, ELK, or Stackdriver to proactively resolve issues<br/><br/></p><p>- Troubleshoot and resolve incidents in GCP, GKE, and containerized applications, driving continuous system Skills & Experience :</b></p><p><b><br/></b></p>- Bachelors degree in Computer Science, Information Technology, or a related field<br/><br/></p><p>- At least 1 years of experience in Google cloud engineering.<br/><br/></p><p>- Hands-on experience with Google Cloud Platform (GCP) services and workloads<br/><br/></p><p>- Strong experience with Kubernetes (GKE), CI/CD pipelines, and containerized applications<br/><br/></p><p>- Proficient in Terraform and Infrastructure as Code (IaC) principles<br/><br/></p><p>- Solid scripting skills in Python, Go, or Bash<br/><br/></p><p>- Experience with monitoring, logging, and alerting tools like Prometheus, Grafana, ELK, or Stackdriver<br/><br/></p><p>- Knowledge of security best practices, cost optimization, and cloud automation<br/><br/></p><p>- At least one Google Cloud Certification (e.g., Associate Cloud Engineer, Professional Cloud DevOps Engineer) is required<br/><br/></p><p>- Strong problem-solving, troubleshooting, and collaboration skills</p><p><b><br/></b></p><p><b>About Techolution :</b> </p><p><br/></p><p>Techolution is a Product Development firm on track to become one of the most admired brands in the world for "innovation done right".</p><p><br/></p><p>Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve.</p><p><br/></p><p>With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI.</p><p><br/></p><p>We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence.</p><p><br/></p><p>While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve.</p><p><br/></p><p>Let's explore further! Uncover our unique AI accelerators with us :</p><p><br/>1.
Enterprise LLM Studio : Our no-code DIY AI studio for enterprises.
Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes.<br/><br/></p><p>2.
AppMod.
AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands!</p><p><br/></p><p>3.
ComputerVision.
AI : Our ComputerVision.
AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration!<br/><br/></p><p>4.
Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services.</p><p><br/>5.
RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI.</p><p><br/>6.
AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI.<br/><br/></p><p>7.
FaceOpen : AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! We are proud to champion AI Done Right, making a meaningful and measurable impact across the globe.</p><br/></p> (ref:hirist.tech)