RESPONSIBILITIES 

• Lead development of back-end services, primarily in Python
• Lead development of front-end services, primarily with SvelteKit
• Work regularly with AI model APIs (such as the Azure OpenAI API or Google VertexAI API)
• Work daily with Azure and Google Cloud Platform (GCP)
• Project-level development of infrastructure using Terraform  
• Project-level development of CI/CD pipelines using GitHub Actions  
• Troubleshooting of issues related to API deployments in Kubernetes (Azure Kubernetes Service) 
• Ensure accurate observability of solutions deployed in AKS using Datadog or other related observability tools 
• Ensure we hit SLAs and lead incident management procedures 
• Document work and solutions appropriately  
• Engage with other technology, infrastructure, and product teams as necessary to complete tasks
• Participate routinely in team on-call rotation and customer support during business hours 

MINIMUM QUALIFICATIONS

• 4-year degree in a technology related discipline (Computer Science, Computer Engineering, Information Systems, etc.) or equivalent work experience 
• 5+ years of experience with web development technologies, including HTML, CSS, JavaScript and/or Typescript.
• 5+ years of experience developing web applications using frameworks such as Svelte, Angular, or React (we use SvelteKit on this team)
• 5+ years of experience with public cloud technologies (Azure or GCP preferred), including demonstrated application development and hosting focus.
• 5+ years of experience with container technologies (Docker, Kubernetes, Helm) 
• 3+ years of experience with cloud infrastructure automation tools (Terraform) 
• 5+ years of experience with SDLC and working with Agile development teams
• Ability to manage large size technical projects, solving related problems and working to tight deadlines while under pressure 
• Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units 
• Desire to learn new technology and grow across different areas of technology

PREFERRED QUALIFICATIONS

• Experience with AI-related concepts such as LLMs, Agents, Model Context Protocol (MCP), RAG, fine-tuning.
• Experience developing AI-powered features or applications.
• Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities

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