Job description

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary In this role, you will partner closely with Software Engineering, Cloud Operations, Architecture, Security, and Product teams to build, support, and operate secure, reliable, and scalable cloud products across a diverse portfolio of applications and services. The role will remain highly hands-on while providing technical leadership across multiple teams. You will be responsible for cloud operations, infrastructure automation, observability, reliability engineering, and operational excellence. This role combines software engineering, DevOps, Site Reliability Engineering (SRE), and cloud platform support responsibilities to help engineering teams deliver and operate high-quality solutions in Azure/AWS environments. The ideal candidate is equally comfortable troubleshooting production issues, building Infrastructure as code solutions, automating operational processes, implementing observability platforms, and partnering with development teams to improve reliability, security, and engineering efficiency. Responsibilities Serve as a shared engineering resource supporting multiple software development teams across the organization. Partner with Engineering, Cloud Operations, Security, and Architecture teams to establish and maintain cloud infrastructure standards, operational practices, and platform capabilities. Design, implement, and maintain cloud infrastructure using Infrastructure as Code (IaC) technologies, including Pulumi. Build and maintain reusable infrastructure templates, deployment patterns, automation frameworks, and platform services that improve developer productivity and operational consistency. Support AWS cloud environments, including networking, security, identity and access management (IAM), monitoring, and operational governance. Provide operational support and troubleshooting for cloud environments, deployment pipelines, infrastructure components, and production services. Serve as an escalation point for complex infrastructure, deployment, and operational issues requiring elevated cloud permissions and platform expertise. Design, implement, and maintain CI/CD pipelines and deployment automation processes to support efficient and reliable software delivery. Configure and support observability solutions, including application performance monitoring, centralized logging, dashboards, alerting, and operational reporting. Implement and maintain Dynatrace monitoring, dashboards, alerting configurations, and operational visibility standards across applications and services. Participate in incident response activities, root cause analysis, post-incident reviews, and reliability improvement initiatives. Develop and maintain operational runbooks, support documentation, platform standards, and engineering best practices. Identify and remediate technical debt, infrastructure risks, operational gaps, and recurring reliability issues. Collaborate with Security teams to support vulnerability remediation, compliance initiatives, access governance, and secure cloud operations. Assist engineering teams with production readiness reviews, deployment planning, infrastructure design, and operational maturity initiatives. Promote Site Reliability Engineering (SRE) practices, operational excellence, automation, and continuous improvement across engineering teams. Evaluate emerging cloud, automation, AI-enabled, and operational technologies that improve platform reliability, engineering efficiency, and service quality. Mentor software engineers on cloud technologies, observability, infrastructure automation, operational best practices, and deployment strategies. Apply AI-assisted practices across the software lifecycle, including design, development, testing, code review, deployment, monitoring, incident response, remediation, and continuous improvement. Qualifications Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field preferred. 7 or more years of software engineering, platform engineering, DevOps, cloud engineering, or Site Reliability Engineering (SRE) experience required. Strong experience designing, implementing, and supporting Azure/AWS cloud solutions in enterprise environments. Experience with Infrastructure as Code (IaC) technologies such as Pulumi, Terraform, CloudFormation, or similar platforms. Experience building and supporting CI/CD pipelines and deployment automation processes. Strong understanding of cloud networking, IAM, security controls, secrets management, and infrastructure governance practices. Experience implementing and supporting observability platforms, including monitoring, logging, dashboarding, runbooks, and alerting solutions. Experience with Dynatrace or comparable enterprise application performance monitoring and observability platforms. Experience troubleshooting production systems and participating in incident management and operational support processes. Experience developing automation solutions using scripting or programming languages such as TypeScript, Python, PowerShell, Bash, or similar technologies. Familiarity with containerization technologies, Kubernetes, serverless architectures, API-driven systems, and cloud-native application patterns preferred. Knowledge of Site Reliability Engineering (SRE) principles, operational excellence frameworks, and service ownership practices preferred. Experience with Azure DevOps, GitHub Actions, Harness, JFrog, or similar delivery and artifact-management tools. Experience working within Agile software development environments and supporting multiple engineering teams simultaneously. Strong communication, collaboration, and stakeholder management skills with the ability to work effectively across engineering, operations, security, and business teams. Experience with cloud-cost management, resource sizing, capacity planning, autoscaling, workload optimization, and FinOps. Experience implementing AI-native software development or AI-enabled engineering operating models. Azure/AWS certifications, DevOps certifications, or equivalent industry certifications preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: vizientinc.com Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Requirements

Must-haves

Responsibilities Serve as a shared engineering resource supporting multiple software development teams across the organization.
Partner with Engineering, Cloud Operations, Security, and Architecture teams to establish and maintain cloud infrastructure standards, operational practices, and platform capabilities.
Design, implement, and maintain cloud infrastructure using Infrastructure as Code (IaC) technologies, including Pulumi.
Build and maintain reusable infrastructure templates, deployment patterns, automation frameworks, and platform services that improve developer productivity and operational consistency.
Support AWS cloud environments, including networking, security, identity and access management (IAM), monitoring, and operational governance.
Provide operational support and troubleshooting for cloud environments, deployment pipelines, infrastructure components, and production services.
Serve as an escalation point for complex infrastructure, deployment, and operational issues requiring elevated cloud permissions and platform expertise.
Design, implement, and maintain CI/CD pipelines and deployment automation processes to support efficient and reliable software delivery.
Configure and support observability solutions, including application performance monitoring, centralized logging, dashboards, alerting, and operational reporting.
Implement and maintain Dynatrace monitoring, dashboards, alerting configurations, and operational visibility standards across applications and services.
Participate in incident response activities, root cause analysis, post-incident reviews, and reliability improvement initiatives.
Develop and maintain operational runbooks, support documentation, platform standards, and engineering best practices.
Identify and remediate technical debt, infrastructure risks, operational gaps, and recurring reliability issues.
Collaborate with Security teams to support vulnerability remediation, compliance initiatives, access governance, and secure cloud operations.
Assist engineering teams with production readiness reviews, deployment planning, infrastructure design, and operational maturity initiatives.
Promote Site Reliability Engineering (SRE) practices, operational excellence, automation, and continuous improvement across engineering teams.
Evaluate emerging cloud, automation, AI-enabled, and operational technologies that improve platform reliability, engineering efficiency, and service quality.
Mentor software engineers on cloud technologies, observability, infrastructure automation, operational best practices, and deployment strategies.
Apply AI-assisted practices across the software lifecycle, including design, development, testing, code review, deployment, monitoring, incident response, remediation, and continuous improvement.
7 or more years of software engineering, platform engineering, DevOps, cloud engineering, or Site Reliability Engineering (SRE) experience required.

Nice-to-haves

Qualifications Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field preferred.
Familiarity with containerization technologies, Kubernetes, serverless architectures, API-driven systems, and cloud-native application patterns preferred.
Knowledge of Site Reliability Engineering (SRE) principles, operational excellence frameworks, and service ownership practices preferred.
Azure/AWS certifications, DevOps certifications, or equivalent industry certifications preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azureawsci/cdaitypescriptpythonkubernetesapiagile

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Professional Development