Jobs at Evolent Health

Lead the design, development, and deployment of scalable software solutions, including APIs and microservices. Collaborate with product, UX, and engineering teams; conduct code reviews; mentor junior engineers; improve automation, testing, and CI/CD; troubleshoot production issues; and guide technical architecture. The role requires strong software development, cloud, database, communication, and problem-solving expertise, with healthcare data and HL7 FHIR experience preferred.

Develops and manages software test strategies, automation frameworks, and manual testing for complex applications. Identifies defects, analyzes test data, reports quality metrics, drives process improvements, participates in code reviews and product planning, and mentors junior quality engineers. Requires expertise in functional, regression, performance, and security testing within agile environments.

Design, develop, test, maintain, troubleshoot, and optimize software applications. Collaborate with product managers, designers, and engineers to translate requirements into technical solutions. Write maintainable code, participate in reviews, build automated tests, support legacy ASP.NET WebForms applications, and contribute to development-process improvements. The role also requires staying current with emerging technologies and communicating effectively with technical and non-technical stakeholders.

Leads the design, development, deployment, and maintenance of scalable software solutions, APIs, and microservices. Drives architecture, code quality, CI/CD improvements, testing, production reliability, and technical planning. Collaborates with product and UX teams, mentors engineers, troubleshoots complex issues, evaluates technologies, and applies AI-assisted development techniques. Requires expertise in software architecture, cloud platforms, containers, databases, legacy ASP.NET applications, and multiple programming languages.

Leads Microsoft 365, Intune, Purview, Copilot, endpoint management, digital employee experience, integrations, security, patching, incident response, and IT support escalation. Builds production-grade automation and agentic AI solutions using code, APIs, and enterprise integrations. Defines AI engineering standards, governance, security controls, observability, and lifecycle practices while mentoring support and operations teams and evaluating emerging AI platforms.

Implements, operates, and improves Microsoft 365, Intune, Purview, Copilot, endpoint management, and related workplace technologies. Integrates identity, security, service management, and cloud systems; resolves incidents; maintains stability and patching; and provides escalated IT support. Develops PowerShell, Python, or Bash automation and configures agentic AI workflows to reduce manual effort. Documents solutions, supports projects, participates in incident management, and collaborates with security, compliance, vendors, and technology teams.

Designs, implements, and improves identity and access management capabilities across Microsoft Entra ID, Active Directory, and related platforms. Builds IAM automation and agentic AI solutions for role mining, access reviews, certification, and anomaly detection. Integrates identity systems with security and IT platforms, supports incident response and audit readiness, documents IAM processes, and mentors junior engineers and operations teams on secure coding and responsible AI automation.

Build and operate secure, scalable Azure cloud platforms using infrastructure as code, CI/CD, containers, Kubernetes, and automation. Develop agentic AI solutions that reduce operational toil, implement security and compliance controls, create APIs and platform integrations, and support application teams with deployment modernization and troubleshooting. The role requires reverse-engineering complex systems, documenting architecture, and delivering reliable platforms for regulated healthcare workloads.

Designs, implements, and maintains secure, scalable Azure cloud platforms using Terraform and Ansible. The role reverse engineers application architectures, builds agentic AI solutions to automate operational toil, applies policy-as-code and security controls, and maintains Azure standards including landing zones and governance. Responsibilities also include optimizing cloud cost, resiliency, scalability, and performance; producing technical documentation; and collaborating transparently with engineering, operations, security, and business stakeholders.

Design, build, and maintain scalable backend services and data pipelines for healthcare solutions using Python and Azure. Develop API-based integrations, ETL workflows, and optimize SQL/stored procedures. Collaborate in Agile teams on architecture, CI/CD, testing, and performance tuning to support analytics and operational workflows.

Build and operate secure, reproducible cloud platforms through infrastructure as code, CI/CD, containerization, and automation. Develop agentic AI solutions to reduce operational toil, implement security and compliance guardrails, and support Azure Kubernetes Service and Azure Container Apps. Create APIs, scripts, integrations, and self-service capabilities while helping application teams modernize deployments and troubleshoot issues across application, platform, and infrastructure layers.

Analyzes healthcare claims, eligibility, pharmacy, and cost data to support capitated risk underwriting, financial arrangement design, value modeling, and medical cost management. Develops analytical models, validates raw claims data, identifies actionable insights, creates customer-ready visualizations, and communicates recommendations to internal and external stakeholders. The role requires healthcare analytics experience, SQL or SAS proficiency, advanced Excel skills, and familiarity with reimbursement methodologies and value-based care.

Lead administration and enhancement of the Workday HCM platform, including business process configuration, security, reporting, integrations, troubleshooting, release support, documentation, and end-user support. The role partners with HR and business stakeholders to deliver scalable solutions, automate processes, improve workflows, and resolve system issues. It also manages dependencies, supports projects, and mentors team members while applying HR expertise, Workday capabilities, and AI tools to improve business outcomes.

Lead design, development, and maintenance of scalable, secure healthcare applications using .NET and Azure. Provide technical leadership, architect solutions, run code reviews, mentor engineers, drive performance and modernization efforts, collaborate with product and QA, and support deployments and production stability.

Support and lead enterprise IT service management practices across incident, problem, change, service level, knowledge, asset, and CMDB management. Optimize Jira-based workflows, governance, SLAs, reporting, and documentation. Analyze KPIs and operational trends, facilitate incident response and change advisory activities, coordinate remediation, and drive continuous service improvement. Collaborate with technical and business stakeholders, evaluate automation and AI opportunities, and communicate recommendations without direct authority.

Build and manage reproducible infrastructure using infrastructure as code, reverse engineer systems, and develop agentic AI solutions to reduce operational toil. Engineer OpenTelemetry-based observability, deploy and operate Docker and Kubernetes workloads on Azure Kubernetes Service and Azure Container Apps, monitor container health, troubleshoot incidents, conduct root cause analysis, and implement secure, compliant delivery practices.

Build and operate automated, reproducible platforms using infrastructure as code. Reverse engineer applications and infrastructure, develop agentic AI solutions to reduce operational toil, and implement security, compliance, and policy guardrails. Manage observability with OpenTelemetry, deploy containerized workloads on Docker, Kubernetes, AKS, and ACA, monitor performance, troubleshoot container issues, and conduct root cause analysis to deliver lasting remediation.

Build and operate an internal developer platform using infrastructure as code, automation, self-service workflows, APIs, and CI/CD. Responsibilities include reverse engineering systems, developing agentic AI solutions, implementing security and compliance guardrails, managing Git and GitHub workflows, designing REST APIs, and writing automated tests. The role requires documented, reproducible platforms and secure delivery practices in a remote-work environment.

Leads end-to-end delivery of Evolent’s AI-native platform, coordinating architecture, engineering, product, data science, and business teams. Responsibilities include program governance, platform migration and adoption, KPI and value realization tracking, executive reporting, responsible AI, security, privacy, compliance, risk mitigation, and coaching project managers. The role requires driving complex technology modernization initiatives and aligning senior stakeholders across healthcare and regulated environments.

Administer and optimize enterprise SQL Server and Azure database environments, including high availability, disaster recovery, migrations, performance tuning, security, and incident response. Build infrastructure-as-code and CI/CD deployment pipelines, operate Microsoft Fabric platforms, and support Azure data services. Partner with engineering, architecture, governance, and application teams on data quality, lineage, metadata, compliance, and platform improvements. Lead root-cause analyses and communicate technical recommendations to stakeholders.