
Unlock Scalable AI Solutions
6 days ago
We're building scalable AI-powered solutions for compliance-heavy business processes.
- Key Responsibilities
You will:
- Design and deploy automated workflows using Databricks, Azure, and Python.
- Implement impact analysis for risk, compliance, and cost assessments.
- Productionize solutions with CI/CD; containerize using Docker/Kubernetes on Azure.
- Required Skills and Qualifications
You must have:
- Strong Python skills and experience with agent frameworks.
- Databricks expertise: notebooks, pipelines, DLT, jobs, monitoring.
- Familiarity with regulatory/compliance data and workflows.
- CI/CD (GitHub/Jenkins/Azure DevOps), Docker/K8s, cloud deployment (Azure preferred).
- Desirable Skills and Experience
The following skills are desirable:
- Experience with event-driven architectures, feature stores, and policy-as-code.
- Exposure to governance/lineage/observability tools.
Requirements
- Lead Automated Workflow Developer: 7–10+ years overall; 3+ years in workflow automation; prior mentoring/ownership of production systems.
- Intermediate Automated Workflow Developer: 3–6 years overall; hands-on with Databricks + agent frameworks; eager to own modules end-to-end.
Job Benefits and Requirements
As an automated workflow developer at our company, you'll work closely with domain SMEs to translate rules and manual steps into scalable AI/ML-driven automation. You will design and deploy automated workflows using Databricks, Azure, and Python, and implement impact analysis for risk, compliance, and cost assessments.
Must-haves include strong Python skills, Databricks expertise, familiarity with regulatory/compliance data and workflows, and experience with CI/CD, Docker/K8s, and cloud deployment.
Nice-to-haves include experience with event-driven architectures, feature stores, and policy-as-code, as well as exposure to governance/lineage/observability tools.
Requirements include 7-10+ years of overall experience, 3+ years of workflow automation experience, and prior mentoring/ownership of production systems.
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