JOBILY AI SUMMARY
What you'll do
- Build CI/CD pipelines for data and AI/ML workloads using Azure DevOps and Git
- Monitor data pipelines and AI/ML infrastructure with Grafana, Azure Monitor, and ELK Stack
- Triage and resolve pipeline incidents, system alerts, and operational issues
- Create operational runbooks, SOPs, and incident response protocols
- Tune performance and plan capacity for data systems and infrastructure
- Track and report operational metrics, SLAs, and system availability
- Monitor and optimise cloud and Databricks costs through tagging, budgets, chargeback, and right-sizing
- Support production deployments and change
Key requirements
- 5+ years' experience
- Python, SQL, and Bash scripting for automation and pipeline maintenance
- Azure DevOps and Git for CI/CD pipeline development and maintenance
- Kubernetes, Docker, and Apache Airflow for platform operations and orchestration
- Grafana, Azure Monitor, and ELK Stack for observability and logging
- Databricks, Azure Data Factory, and Azure cloud services
- Incident management and operational ownership of SLAs, changes, and runbooks
- Computer Science / Engineering / Information Systems / Any Field
Benefits
- Competitive salary and benefits including insurance, performance-based bonuses, monthly vouchers, flexible work arrangements, employee share purchase plan, parental leave, and corporate discounts.
- Benefits also include continuous training and development, career coaching and mentorship, career opportunities across clients and industries, and a diverse and inclusive culture.
About the job
As an AI Ops & Data Ops Senior Engineer , you’ll keep the AI and data platform fast, reliable, observable, and continuously improving. You’ll build the operational backbone for data and AI/ML workloads, automating deployments, monitoring pipelines, enforcing SLAs, improving incident response, and…


