DevOps Engineer

We are looking for a DevOps Engineer to join our client's team and support the development of a revolutionary AI-powered data platform that transforms how organizations connect AI with their data. The platform consists of two key components:

• A data engineering platform – Scans, understands, and models business data, enabling seamless data model creation.
• Business-specific applications – Extract valuable insights from data, including an LLM-powered interface for interacting with enterprise data.

This solution helps data-driven teams unlock real business value and accelerate growth through entity-based, 360-degree data representation. With its AI-powered semantic data modeling engine, organizations can consume rich, trustworthy insights across BI tools, ML models, reverse ETLs, and pre-built applications.

Now, we’re looking for a DevOps Engineer to help scale, automate, and optimize cloud infrastructure while ensuring high availability, security, and efficiency.

Your Role:

• Design, implement, and manage cloud infrastructure across GCP, AWS, and Azure
• Build and maintain CI/CD pipelines using GitHub Actions or similar tools
• Automate deployment processes to accelerate and stabilize releases
• Establish and optimize monitoring/logging systems (Prometheus, Grafana, Elastic, New Relic, Bugsnag)
• Troubleshoot and enhance system performance, availability, and resilience
• Develop automation scripts and tools to streamline DevOps workflows
• Implement security best practices (access controls, vulnerability scanning)
• Design and maintain development, staging, and production environments
• Collaborate closely with developers and data engineers to improve workflows and infrastructure

Tech Stack:

• Cloud: Google Cloud (expanding to AWS & Azure)
• Infrastructure as Code: Terraform
• Orchestration: Kubernetes & Helm
• CI/CD: GitHub Actions
• Scripting: Python, Bash

What We’re Looking For:

• 4+ years of DevOps experience, ideally in a SaaS environment
• Hands-on expertise with GCP, AWS (Azure is a plus)
• Strong experience in CI/CD (GitHub Actions) and Infrastructure as Code (Terraform)
• Proficiency in Python/Bash scripting
• Deep knowledge of Linux/Unix-based systems
• Experience with Kubernetes and containerization
• Familiarity with monitoring and logging tools
• Strong problem-solving mindset with a proactive and “can-do” attitude
• Passion for AI and data-driven applications

Why Join?

• Be part of a pioneering team transforming the data industry
• Work on a groundbreaking AI-powered data platform
• Collaborate with top engineers, data experts, and AI specialists
• Shape and scale an infrastructure that supports cutting-edge AI solutions

If you're excited about automation, cloud scalability, and AI-driven data platforms, let’s connect.