AI Ops & Data Ops Senior Engineer for Newra, Part of Accenture
Core
Building the operational backbone for data and AI/ML workloads to ensure platforms are fast, reliable, observable, and continuously improving.
Role type
Senior AI Ops & Data Ops Engineer
Builds
CI/CD pipelines, production monitoring/observability stacks, incident response protocols, and FinOps cost optimization frameworks for AI/ML data platforms.
Domain
Banking / AI Operations / Data Engineering
Deliverable
infrastructure
Required skills
Python, SQL, Bash scripting, CI/CD tooling, Kubernetes, Docker, Apache Airflow, observability stacks (Grafana, Azure Monitor, ELK), Databricks, Azure cloud services, operational runbook discipline, capacity planning
Preferred skills
FinOps tooling, PostgreSQL/SQL Server/NoSQL, infrastructure-as-code (Terraform, Bicep), SRE practices
Technologies
Azure DevOps, Git, Grafana, Azure Monitor, ELK Stack, Databricks, Azure Data Factory, Azure Storage, Azure VMs, Azure AKS, PostgreSQL, SQL Server, Terraform, Bicep
Responsibilities
Build and maintain automated deployment pipelines for data and AI/ML workloads; monitor and troubleshoot data pipelines and AI/ML infrastructure; manage incident response and resolution for operational issues; optimize cloud and Databricks costs through tagging and budgeting; tune performance and plan capacity for data systems; track and report operational metrics and SLAs for AI/ML platforms.
Seniority
Senior, hands-on IC
