Key Responsibilities :

- Design, build, and manage AWS cloud infrastructure, Kubernetes platforms, Terraform, networking, and cloud services.
- Develop and optimize CI/CD pipelines, Infrastructure as Code, deployment automation, release processes, and security validation.
- Provision, deploy, monitor, and manage Databricks, AI/ML, and Generative AI workloads.
- Support MLOps and LLMOps processes, including deployment, monitoring, versioning, rollback, and operational readiness.
- Implement monitoring, observability, alerting, anomaly detection, and AIOps capabilities.
- Manage incident response, troubleshooting, root cause analysis, and production reliability.
- Develop automation using Python, Bash, APIs, and event-driven services.
- Implement DevSecOps practices across cloud infrastructure, applications, and deployment pipelines.
- Ensure cloud security, responsible AI, governance, compliance, and audit controls are embedded across platforms.
- Collaborate with engineering, data, AI/ML, security, and product teams to improve platform reliability and delivery efficiency.
- Drive continuous automation and optimization of cloud and engineering processes.

Required Technical Skills :

- AWS
- Kubernetes
- Terraform
- CI/CD
- Python / Bash
- Cloud Infrastructure & Networking




- Monitoring & Observability
- Cloud Security
- Databases & Troubleshooting
- Generative AI
- Agentic AI
- DevOps / SRE / Platform Engineering

Required Candidate Profile :

- 5 years of experience in DevOps, Cloud Engineering, SRE, or Platform Engineering.
- Strong hands-on experience with AWS, Terraform, Kubernetes, CI/CD, and Python/Bash.
- Experience with monitoring, observability, troubleshooting, databases, and cloud security.
- Hands-on experience with Generative AI and Agentic AI technologies.
- Experience using AI-powered tools for engineering productivity, automation, and development workflows.
- Strong understanding of cloud-native infrastructure and automation.
- Valuable communication and English language skills.
- Must be legally authorized to work in India without sponsorship.

Good to Have :

- Databricks
- AIOps
- MLOps / LLMOps
- DevSecOps
- Advanced observability
- AI agents, RAG, LLM APIs, and prompt engineering
- AI governance and responsible AI
- Harness
- Microservices and serverless architectures
- AWS, Kubernetes, Terraform, Databricks, or Cloud Security certifications
- Master's degree in a relevant STEM discipline

📌 DevOps/Platform Engineer - AWS Cloud Infrastructure (India)
🏢 VBeyond
📍 India