Software Engineer, Platform & Cloud Enablement
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Job Description
Software Engineer focused on building internal tooling and automation for AI platforms. Working with Azure and cloud environments to enhance developer experience and scalability.
Responsibilities:
- Design and build self-service workflows that allow internal teams to easily access platform resources
- Develop automation around infrastructure and onboarding using tools like Cortex.io
- Contribute to platform tooling that supports AI-related use cases and services
- Work with Azure infrastructure (AKS, Azure Container Apps, networking, databases, etc.) to ensure scalability and reliability
- Automate deployments and infrastructure using Terraform and GitHub Actions
- Integrate platform workflows with external tools and services (e.g., Snowflake, Astronomer, Kong)
- Improve observability across the platform (Prometheus, Grafana, Splunk, OpenTelemetry )
- Support CI/CD integrations and overall platform reliability
- Troubleshoot and provide hands-on support when needed
- Collaborate closely with other engineers and mentor teammates when relevant
Requirements:
- +5 years of experience in software engineering, platform engineering, or related roles
- Strong experience working with cloud environments (Azure preferred)
- Hands-on experience with infrastructure as code (Terraform) and automation workflows
- Solid understanding of Kubernetes and container-based architectures
- Experience working in complex, distributed systems
- Comfortable writing code and working at the infrastructure/platform layer
- Experience with Git and collaborative development workflows
- Ability to work autonomously while staying aligned with the team
- Experience building internal tools, developer platforms, or self-service solutions is a big plus
- Nice to have: Exposure to AI/ML platforms or workflows
- Experience with Cortex.io or similar developer portals
- Familiarity with tools like Snowflake, Airflow, or Astronomer
- Experience with API gateways (Kong)
- Multi-cloud experience (GCP/AWS)
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