Senior Software Engineer, SRE

Chartis is focused on transforming US healthcare through innovative strategies and solutions. They are seeking a Senior Software Engineer, SRE to lead the development of AI infrastructure and scalable cloud-native systems while driving engineering excellence and operational effectiveness.

Responsibilities:

• Design and develop a robust Infrastructure as Code (IaC) platform for Azure using Terraform, ensuring scalability and maintainability
• Implement and manage cloud-native GitOps CI/CD pipelines using tools such as Argo CD or Flux CD to automate infrastructure delivery
• Define and maintain reliable cloud infrastructure and tools, incorporating IaC best practices to support rapid iteration
• Build solutions with a DevOps mindset, seeking to automate integration and deployment so features can scale effectively
• Design and implement Kubernetes networking solutions, including CNI configuration, Gateway API, and network segmentation using NetworkPolicy and Azure Network Security Groups
• Manage and optimize AKS cluster lifecycle, including node pool configuration, cluster upgrades, and autoscaling strategies across availability zones
• Design and enforce pod-level and namespace-level network segmentation using Kubernetes NetworkPolicy and Azure Network Security Groups
• Enforce workload identity and least-privilege access patterns using Azure Managed Identity and AKS OIDC integration, eliminating static credentials
• Champion best practices for observability, availability, latency, scalability, and efficiency of distributed systems, including SLO definition, error budget management, and capacity planning
• Establish security best practices for cloud environments to ensure data protection and that SOC2 controls are in place and auditable
• Conduct operational reviews and drive root cause analysis to maintain high uptime and system health
• Mentor other engineers through code reviews, design docs, and post-mortems to foster a culture of technical growth
• Partner effectively across multiple teams and with product and security stakeholders to ensure platform decisions reflect business requirements and risk tolerance

Requirements:

• Bachelor's degree in computer science, Software Engineering, Computer Engineering, Mathematics, or a related scientific/engineering field
• 5+ years of relevant industry experience shipping world-class products as part of a highly functional software development team
• Demonstrated familiarity with deploying AI PaaS solutions such as Azure AI Search and Foundry
• Deep technical proficiency with Azure Cloud and expert-level knowledge of Terraform
• 3+ years' experience administering managed or self-hosted Kubernetes clusters, including deep knowledge of Kubernetes internals and broad awareness of the CNCF ecosystem
• Proven track record of implementing cloud-native GitOps CI/CD workflows using Argo CD, Flux CD, or similar tools
• 5+ years of hands-on experience designing and operating cloud networking in Azure, including VNET architecture, Network Security Groups, private endpoints, and AKS-integrated networking with demonstrable experience troubleshooting and resolving production network issues
• Proven ability to translate complex technical decisions and engineering tradeoffs into business risk and impact for non-technical stakeholders, and to represent platform constraints clearly in cross-functional planning