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Senior Platform Engineer

Chartis
CompanyChartis
CategoryEngineering
LocationRemote
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted21 May 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
ABOUT CHARTIS The challenges facing US healthcare are longstanding and all too familiar. We are Chartis, and we believe in better. We work with more than 1,900 organizations annually to develop and activate transformative strategies, operating models, and organizational enterprises that make US healthcare more affordable, accessible, safe, and human. With more than 1,450 professionals, we help providers, payers, technology innovators, retail companies, and investors create and embrace solutions that tangibly and materially reshape healthcare for the better. Our family of brands—Chartis, Jarrard, Greeley, and HealthScape Advisors—is 100% focused on healthcare and each has a longstanding commitment to helping transform healthcare in big and small ways. Believe in better. Chartis has offices in Boston, Chicago, New York, Washington D.C., and Nashville. Remote work is allowed. ROLE OVERVIEW This is an opportunity to join a software development team building next-generation AI infrastructure and superpowers for world class health care consultants. We are looking for a technically fearless, seasoned engineer who can drive the implementation of scalable Infrastructure as Code (IaC) platforms and reliable cloud-native systems. As a Senior Platform Engineer, you will be a hands-on technical leader who drives engineering excellence and champions a culture of quality, innovation, and operational effectiveness. You will serve as a subject matter expert for reliable, scalable infrastructure and work daily in an agile environment to solve complicated cross-team issues RESPONSIBILITIES Infrastructure Platform & Engineering: - 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. Systems & Networking: - 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. Operational Excellence & Leadership: - 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. QUALIFICATIONS AND DESIRED SKILLS - Education: Bachelor’s degree in computer science, Software Engineering, Computer Engineering, Mathematics, or a related scientific/engineering field. - Experience: 5+ years of relevant industry experience shipping world-class products as part of a highly functional software development team. - AI Platform Engineering: Demonstrated familiarity with d
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