Google Cloud DevOps Engineer

We are seeking a highly skilled Google Cloud Engineer to design, build, and optimize scalable cloud platforms. This role requires expertise in deployments, release management, DevOps, infrastructure automation, and platform setup on Google Cloud Platform (GCP) . The ideal candidate will have deep technical knowledge in Kubernetes, CI / CD, Terraform, and cloud-native automation , with a passion for delivering reliable and efficient systems at scale, specifically for Generative AI products .

Title : Google Cloud Devops Engineer

Location : Hyderabad(Hybrid)

Work Employment Type : Full-time

Work Timings : 2 : 00 PM to 11 : 00 PM IST

No of Openings : 2

Key Responsibilities :

• Automation & CI / CD : Design, implement, and maintain robust, end-to-end CI / CD pipelines (using Cloud Build, GitHub Actions ) to fully automate the deployment of our core platform and AI agents across Dev, QA, and Production environments.
• Smart Auto-Scaling & Cost Reduction : Implement the smart auto-scaler logic, utilizing GKE, Cloud Run, and KEDA , to ensure AI agents scale down to near-zero when inactive and scale correctly under load.
• Infrastructure as Code (IaC) : Develop and maintain scalable infrastructure using Terraform to manage GCP resources , ensuring consistency for multi-tenant deployments and compliance requirements.
• MLOps Workflow : Build the automation logic into our 'Agent Genie' self-service platform, managing agent configuration, promotion (Dev $rightarrow$ Prod), and incorporating necessary workflow approval gates.
• Platform Stabilization : Collaborate with development teams to consolidate existing LLM Studio instances and standardize environments for improved governance and maintenance.

Required Skills & Experience :

About Techolution :

Techolution is a Product Development firm on track to become one of the most admired brands in the world for 'innovation done right' . 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. 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 .

We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. 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.

Let's explore further!

Uncover our unique AI accelerators with us :

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.

2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands!

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!

4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services.

5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI.

6. AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI.

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.

Awards & Recognition :

Some videos you wanna watch!

Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Skills Required

Elk, Prometheus, Go, Bash, Grafana, Terraform, Docker, Iam, Python, Kubernetes