Role Overview
Zorba AI is hiring a Senior Cloud Engineer_5+years. This is a full-time role in Bengaluru. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Role Summary
We are seeking a highly skilled Cloud / MLOps Engineer to support machine learning development teams and drive end-to-end automation for model deployment and operations. The ideal candidate will have strong expertise across Azure, Databricks, and Kubernetes platforms, with a focus on building scalable, secure, and efficient MLOps pipelines.
Key Responsibilities
- Design, build, and maintain CI/CD/CT pipelines for ML models using tools such as Azure DevOps, GitHub Actions, or Jenkins
- Develop and manage deployment workflows for:
- Databricks Jobs
- MLflow models
- Microservices deployed on AKS / ARO
- Automate infrastructure provisioning and management using Terraform, scripting, and GitOps practices
- Manage and optimize:
- Databricks workspaces
- AKS clusters and containerized workloads
- Networking and model serving environments
- Implement monitoring, logging, and alerting solutions to ensure platform reliability and performance
- Collaborate closely with ML Engineers, Data Engineers, and Application Teams to streamline deployment workflows
- Ensure adherence to security best practices, governance standards, and cost optimization strategies across MLOps pipelines
Required Skills & Qualifications
- Strong hands-on experience with Microsoft Azure, Azure Kubernetes Service (AKS), and Azure Red Hat OpenShift (ARO)
- Proven experience with Azure Databricks and distributed data processing
- Solid understanding of MLflow and Kubernetes-based model deployment strategies
- Proficiency in Python and scripting languages (Bash / PowerShell)
- Experience with Infrastructure as Code (Terraform) and CI/CD tools
- Good understanding of cloud security, networking, and distributed systems
- Experience with containerization and orchestration (Docker, Kubernetes)
Preferred Qualifications
- Experience with GitOps workflows and version-controlled deployments
- Familiarity with monitoring tools (e.g., Prometheus, Grafana, Azure Monitor)
- Knowledge of cost optimization techniques in cloud environments
- Exposure to enterprise-scale ML systems and production-grade deployments
Key Competencies
- Strong problem-solving and troubleshooting skills
- Excellent collaboration and communication abilities
- Ability to work in a fast-paced, cross-functional environment
- Focus on automation, scalability, and reliability
Skills: terraform,kubernetes,azure,databricks
Frequently Asked Questions
How do I apply for the Senior Cloud Engineer_5+years position at Zorba AI?
Use the Apply button above to submit your application directly to Zorba AI. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Cloud Engineer_5+years position at Zorba AI located?
This position is based in Bengaluru. Zorba AI has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Cloud Engineer_5+years at Zorba AI earn?
Zorba AI has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Cloud Engineer_5+years role at Zorba AI posted?
This role was posted on April 25, 2026 (51 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Cloud Engineer_5+years role at Zorba AI require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Zorba AI lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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