AI Cloud Platform Engineer
About the role
Job Description
Key Responsibilities
- Participates in iteration planning to ensure the team shares a common understanding of backlog stories, features, and technical chores.
- Helps execute the product strategy with customer needs and outcomes as priorities.
- Works with team members to design scalable systems, applications, and data solutions.
- Participates in daily site, cross-site, and product team standups.
- Uses
Agentic AI-assisted development capabilities
, including GitHub Copilot and similar coding assistants, to accelerate code generation, testing, documentation, and troubleshooting while following enterprise governance standards.
- Contributes to retrospectives by gathering feedback and identifying actionable improvements for the team and product.
- Supports software products and platforms in production and user environments.
- Shares knowledge and contributes to the continuous development of the team's collective expertise.
- Applies paired programming, test-driven development (TDD), and modern software engineering practices to deliver high-quality solutions.
- Establishes and maintains Continuous Integration, Continuous Delivery, and Continuous Deployment (CI/CD) pipelines and practices.
- Collaborates on designing and implementing AI-enabled applications, automation workflows, and intelligent developer experiences where appropriate.
Required Qualifications
- 3+ years of experience as a Data Engineer
, building and supporting enterprise-scale data platforms and pipelines.
- Advanced proficiency in
Python
SQL
, and modern data engineering practices.
- Strong hands-on experience with
GitHub
Key vault
REST API
(integration 7 automation).
- Experience with
Microsoft Fabric and Azure platform
Experience with Terraform/Jenkins
, or comparable CI/CD.
- Experience implementing CI/CD pipelines, source control, Infrastructure as Code (IaC), and automated testing practices.
- Familiarity with AI-powered engineering tools and
Agentic AI-assisted software development practices
.
- Strong understanding of distributed computing, performance tuning, scalability, fault tolerance, and data reliability.
- Excellent problem-solving, collaboration, communication, and stakeholder management skills.
Preferred Qualifications
- Experience designing and implementing enterprise data products within
Microsoft Fabric
.
- Knowledge of data governance and data quality frameworks.
- Cloud or data engineering certifications in Azure, Microsoft Fabric, Databricks, or related technologies.
Experience
- 3 or more years of experience (Preferred)
#LI-TE1
Skills
Anthropic Claude Code, Cloud Platform, GitHub Copilot, Jenkins (Software), Python (Programming Language), Software Development, Terraform (Software), Terraform on Microsoft Azure
Compensation
Not included in the source posting: about the role.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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