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

+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)

Software Engineer, Platform & Cloud Enablement

Key skills