• Design, implement, and maintain scalable Kubernetes infrastructure on GKE/EKS • Develop and manage Infrastructure as Code using Terraform, Helm, and Ansible • Build and improve CI/CD pipelines for fast and reliable deployments • Implement and maintain monitoring, logging, and alerting solutions • Support PostgreSQL and Kafka environments • Automate operational tasks using Python and Bash scripting • Troubleshoot production issues across cloud and Kubernetes environments • Collaborate with developers to improve deployment and operational processes • Participate in on-call rotation and production support

• Design, implement, and operate Kubernetes-based infrastructure for production environments • Build and maintain CI/CD pipelines using Git-based workflows and modern automation tools • Develop automation and internal tooling using Python and Go • Manage artifact repositories and dependency workflows (e.g., Artifactory or similar solutions) • Support and optimize SQL and/or NoSQL databases in production environments • Implement monitoring, logging, and full-stack observability solutions • Ensure high availability, scalability, and resilience of distributed systems • Collaborate with engineering teams to improve deployment processes and developer experience • Participate in incident response, root cause analysis (RCA), and continuous improvement initiatives • Contribute to platform architecture decisions and DevOps best practices • Enforce security, access control, and compliance standards across environments

• Develop and execute a scalable, secure, and efficient DevOps strategy that supports business continuity. • Manage and prioritize the DevOps backlog to balance business value, operational needs, and technical feasibility. • Ensure the reliability, security, performance, and high availability of systems and applications. • Lead the design and continuous improvement of CI/CD pipelines, infrastructure automation, and monitoring solutions. • Integrate Agile and DevOps practices to improve delivery speed, collaboration, and operational efficiency. • Lead, mentor, and develop the DevOps team while fostering a proactive, accountable, and improvement-driven culture. • Set team and individual goals, monitor KPIs, conduct performance reviews, and address skill gaps through training. • Facilitate Scrum ceremonies and remove blockers to help the team achieve sprint goals effectively. • Act as the main coordination point between technical teams, leadership, and stakeholders by communicating priorities, risks, and progress updates. • Drive continuous improvement initiatives by identifying operational gaps, enforcing DevOps best practices, and leveraging AI tools to optimize workflows and risk management.

Title: DevOps Engineer III Location: Remote Employee, US Job Description: About Avalon Healthcare Solutions: Avalon Healthcare Solutions is the nation’s leader in diagnostic intelligence, uniquely focused on transforming the role of diagnostic testing across the healthcare ecosystem. Our proprietary Diagnostic Insights Platform delivers evidence-based policies, curated lab networks, and real-time analytics that simplify complex diagnostics, accelerate innovation adoption, and optimize diagnostic investments. Supporting over 30 health plans and 100 million members nationwide, Avalon partners with payers and providers to ensure diagnostic testing is performed appropriately, efficiently, and at the right time. Our flexible solutions span routine and genetic testing management, automated adherence, and end-to-end diagnostics support—driving measurable value, reduced waste, and improved clinical outcomes. With unmatched scientific rigor, deep clinical expertise, and a performance-based model, Avalon is redefining how diagnostics power personalized care and healthcare value. You will be part of a team that shapes a new market and business. Most importantly, you will help Avalon to achieve its mission and improve clinical outcomes and health care affordability for the people we serve. Avalon Healthcare Solutions is an Equal Opportunity Employer - Vet/Disability. This position description is subject to change at any time. As determined by the company based upon business needs, an employee in this position may be required to perform duties and take responsibility for work other than as described in this document. About the DevOps Engineer III Position: The DevOps Engineer III is responsible for architecting, designing, implementing, and supporting tools and practices that enhance engineering productivity and operational efficiency. This role enables software development teams, including multiple scrum teams, by establishing and maintaining scalable, automated CI/CD processes aligned with organizational standards. The position requires a strong understanding of the software development lifecycle and the ability to evaluate and implement tooling solutions that support continuous integration and continuous delivery across scrum teams. The DevOps Engineer III contributes to the advancement of development workflows, automation, and infrastructure capabilities to support reliable and efficient software delivery. This position is eligible for remote work, but quarterly travel will be required to Avalon’s corporate office located in Tampa, Florida. DevOps Engineer III – Essential Functions and Responsibilities: - Identifyopportunities for improvements to continuously drive greater operational excellence, including areas such as improving elastic horizontal scaling, observability, logging, alerting, containerization, and application orchestration at scale. - Responsible for driving Site Reliability Engineering (SRE) and Platform Engineering (PE) principles to enable the success of scrum teams and IT Operations teams. - Responsible for driving a post-incident blameless postmortem process to help review opportunities to minimize risk and drive continuous self-improvements to our processes and products. - Collaborate with IT Operations, Application Development Scrum Teams, Database, EDI, and Clinical Operations teams to provide ongoing support and ensure seamless cross-functional integration. - Expected to drive technical excellence anddemonstratethe leadershiprequiredtoestablishand advance a mature DevOps practice for Avalon. DevOps Engineer III – Minimum Qualifications: - 4-8 years of experience in Cloud Engineering, Systems Administration, Systems Engineering, Software Engineering, or DevOps - Bachelor of Science degree in a technical field such as engineering or computer science, or equivalent relevant experience - Strong hands-on experience in Linux-based production environments and core AWS services. - Hands-onIaCexperience with AWS CloudFormation and working knowledge of Terraform, including support for CloudFormation-to-Terraform migration. - Solid experience with CI/CD principles and tooling, including deployment automation and support for multiple scrum teams (Harness preferred). - Experience with container and orchestration technologies, including Docker, AWS ECS, AWS Fargate, and Kubernetes/AWS EKS. - Strong automation and scripting skills in Bash and Python, with exposure to anadditionallanguage such as Go for platform tooling. - Experience implementing observability practices, including metrics, logging, alerting, and incident response workflows. - Security-first mindset with experience integrating security scanning tools (e.g., Snyk),secretsmanagement, and least-privilege access controls. - Proven ability to troubleshoot and resolve complex infrastructure and delivery pipeline issues. - Strong collaboration, communication, and mentoring skills, with the ability to work independently in a fast-paced environment. - Experience using AI-assisted engineering tools and implementing AI-driven operational workflows such as automated troubleshooting, alert enrichment, smart notification routing, and remediation guidance withappropriate securityand compliance controls. DevOps Engineer III – Preferred Qualifications: - AWS Certified Cloud Practitioner - AWS Certified DevOps Engineer (Professional) - Experience with AIOps capabilities such as anomaly detection, event correlation, and alert noise reduction. - Experience tracking operational KPIs (e.g., MTTD, MTTR, alert fatigue reduction, and deployment lead time) to drive continuous improvement.