AzoonTech consulting LLC is hiring for a stealth AI startup. At this AI startup, we are building agent-driven data platforms that rethink how teams interact with infrastructure, analysis, observability, data processing. Our goal is simple : make data systems smarter, more autonomous, and radically easier to work with.
We’ll be sailing together toward a bold vision :
1. Agent-driven intelligence for modern data platforms.
We’re building agents that tackle real-world challenges in data engineering—performance bottlenecks, observability gaps, and operational complexity. These agents don’t just monitor—they diagnose, optimize, and guide teams toward better decisions. It’s not just a tool—it’s a co-pilot for your data stack.
2. Cutting-edge AI meets high-demand data tech
You’ll work with the latest advancements in LLMs and proven technologies. It’s a rare chance to blend frontier AI with the backbone of big data—building systems that are both powerful and future-ready.
😎 Why it’s cool :
1. AI-First architecture
2. Big Data Meets smart automation
3. You will be part of future data-platform
Key Responsibilities
- Design, develop, and manage scalable infrastructure using Terraform across AWS / GCP.
- Build and optimize CI / CD pipelines using Jenkins / Harness / GitHub Actions to ensure fast, reliable deployments.
- Containerize applications using Docker and manage orchestration via Kubernetes.
- Create and maintain Helm Charts for application packaging and deployment.
- Manage source control and collaboration using Git and GitHub.
- Monitor system performance, ensure system availability, and troubleshoot cloud and containerized services.
- Implement infrastructure best practices, security controls, and cost optimization strategies.
- Collaborate with developers and architects to define infrastructure requirements.
- Track work and progress using Jira to manage epics, stories, and tasks efficiently.
- Develop operational automation scripts and tools for repetitive tasks.
- Ensure disaster recovery strategies and infrastructure backup mechanisms are in place and tested.
Required Skills & Experience
8+ years of hands-on experience in cloud engineering or DevOps roles.Strong experience with Terraform for managing infrastructure as code.Proven experience with AWS and / or GCP platforms and services.Deep understanding of Docker and container lifecycle management.Solid experience with Kubernetes in production environments.Proficiency in Helm for managing complex K8s applications.Hands-on experience building pipelines in GitHub Actions.Strong knowledge of Git for version control and collaboration workflows.Familiarity with Jira for project and issue tracking.Comfortable with scripting languages like Bash, Python, or Go for automation tasks.Solid understanding of networking, IAM, monitoring, and logging in cloud environments.Preferred Qualifications
Certifications : AWS Certified DevOps Engineer, Google Professional Cloud DevOps Engineer, or Kubernetes CKA / CKAD.Experience working in a multi-cloud or hybrid cloud setup.Exposure to service mesh, observability (Prometheus, Grafana), or policy-as-code tools (OPA, Sentinel).Contribution to open-source tools or DevOps communities is a plus.